Category Archive: AI

Dreamforce 2025: What the “Agentic Enterprise” Means for Associations and Nonprofits

Avatar photo October 23rd, 2025 by

Every year, Dreamforce offers a glimpse into the future of technology.

For associations and nonprofits, this year’s event offered the inspirational main course with a much-appreciated side of clarity. We noticed a renewed focus on how system improvements and expanded functionality will help organizations deliver mission-driven impact with fewer barriers and faster results.

The Dreamforce Experience: Optimism, Expansion, and Measurable Value

Dreamforce has always been part pep rally, part masterclass in innovation. But this year, the energy felt different. The conversations were more practical, and the focus felt more grounded in real-world outcomes.

In contrast to Dreamforce 2024’s optimistic exploration of future possibilities, Dreamforce 2025 focused on results: faster implementations, smarter automation, and tangible impact for organizations already using AI to free up time and resources.

Throughout several nonprofit sessions, we saw a hard emphasis on the “so what”:

  • Pacific Clinics shared that their Agentforce implementation saved over 900 hours of staff time, drove a 583% increase in client referrals, and doubled the number of clients served.
  • Good360 reported reaching an additional 15 million constituents through AI-powered automation and insight surfacing.

These stories anchored a consistent theme of “AI for Impact” across the event and underscored that AI for mission-driven organizations has moved well beyond theory.

How Agentforce 360 Changes the Game for Nonprofits

At the heart of this year’s announcements was the formal launch of Agentforce 360, Salesforce’s end-to-end platform for building, managing, and connecting AI agents.

Key Components of the New Agentforce 360

  • Agentforce 360 Platform: This is the core engine powering AI agents. New updates include conversational building, hybrid reasoning, and new voice capabilities.
  • Data 360 (Formerly Data Cloud): Data Cloud has been a foundational component of Agentforce since its launch last year, but the functional requirements left some definition to the imagination. This rebrand closes that gap – Data 360 is more deeply integrated and provides agents with the context to provide actionable insights (and then act on them).
  • Customer 360 apps: The familiar Salesforce Clouds – Sales, Service, Marketing, etc – now live under the Agentforce 360 umbrella, supported by new AI agents that expand on the functionality you’ve come to expect.
  • Slack: Slack is stepping into a new role as the collaboration layer where humans and agents meet. It’s now the “agentic home”, bringing insights and actions directly into daily communications (more on this in just a moment).

For nonprofits, these changes point to a future where repetitive work can be automated to free up staff to focus on more strategic, mission-driven initiatives like advocacy, member service, and program delivery.

Slack Steps Into the Spotlight: Collaboration Meets Automation

Slack has quietly become the hub of digital work for many organizations, with Salesforce confirming that it sees Slack as the primary interface for agentic work at this year’s Dreamforce, dubbing Slack your “agentic OS”.

One major change that supports this expansion is that Salesforce channels now allow any Salesforce object – member records, campaigns, events, cases – to be viewed and updated directly in Slack.

That means more natural real-time collaboration and less toggling between systems. Imagine:

  • Member services teams resolving renewal issues directly from Slack, with updates syncing automatically to Salesforce.
  • Event staff approving speaker submissions or updating schedules in real time.
  • Volunteer coordinators using Agent Builder to deploy internal Slack agents to answer questions or pull reports on demand.

And the new and improved Slackbot promises another major leap forward. Available for Enterprise plans in January 2026, this personal AI companion connects your organization’s systems, providing each staff member with a personalized, context-aware agent.

For small-staff associations and busy non-profit teams, Slack AI could be transformative, equivalent to adding an experienced assistant to every role.

A Turning Point for Nonprofits and Associations

At past Dreamforces, we know some smaller organizations were left wondering, “Is this for us?”

Not this year. Salesforce’s nonprofit showcase featured real implementations, including how organizations are using Agentforce to onboard faster, automate donor communications, and streamline program management.

The message was clear: speed to value is the priority.

New accelerators, templates, purpose-built agents, and “out-of-the-box” configurations mean organizations can start small, see early wins, and scale over time.

But Salesforce also made clear that this is a disruptive moment.

To borrow an analogy we overheard at Moscone, AI agents are to this decade what smartphones were to the last – a breakthrough that redefines how every organization operates.

Just as organizations had to adapt to the mobile era or risk being left behind, nonprofits now face a similar choice with agentic AI.

Those who embrace AI to extend staff capacity, improve member experience, and act faster on data will lead the next wave of nonprofit growth. Those who don’t may find that more agile, tech-enabled organizations have taken their place at the table.

Salesforce Innovations Worth Watching

Even if your day job isn’t hands-on development, several Dreamforce 2025 innovations are worth watching.

1. Vibe Coding

Vibe Coding is now live in Salesforce and Mulesoft, allowing developers (and even less technical users) to generate code by simply describing what they want in natural language.For nonprofits, that means handwritten workflows or process diagrams – like a donation intake process or membership renewal flow – can become real Salesforce automations or Flows with just a few prompts.

2. Salesforce and OpenAI

Salesforce deepened its collaboration with OpenAI this year, integrating GPT-style reasoning more tightly into Agentforce 360, with the primary goal of making conversational AND context-aware agents.

3. Purpose-Built Agents for Nonprofits

Dreamforce also introduced a wave of pre-trained, immediately available AI agents designed to handle common nonprofit needs like donor outreach, event participant coordination, membership inquiries, and more. Rather than building everything from scratch, nonprofits can now deploy an agent, connect it to their existing Salesforce instance, and benefit from an immediately operational resource. It’s a practical way to get started with AI without heavy customization or technical overhead.

4. The AgentExchange (and Our Winning Volunteer Coordinator Super Agent!)

The AgentExchange, similar in concept to the AppExchange, is a new marketplace where organizations can discover, share, and install pre-built AI agents.

We’re thrilled to have our own innovation to add to the exchange (coming soon). Our Volunteer Coordinator Super Agent took first place in the inaugural Agents for Good Hackathon and offers a powerful time-saving tool to help volunteer coordinator teams provide a better volunteer experience.

What Dreamforce Means for Associations and Nonprofits

If 2024 was the year of “AI curiosity,” 2025 is the year of AI capability. And associations must stay up to speed.

Dreamforce 2025 didn’t have one “big reveal,” and that lack of the next shiny object is a strong indicator of a shift in focus to maturity, integration, and results.

A conversation about “maturity” for a tool that’s only been on the market for ~12 months? Fair question, but some truly massive jumps in functionality mean that the conversation about “what is it” has given way to more practical, action-based discussions about “how do we use it.”

If you take away three things from Dreamforce 2025, let it be these. With Agentforce 360 and Slack’s deeper integration, even lean teams can:

  • Automate repetitive administrative work (think renewals, reminders, report generation).
  • Surface member insights from previously siloed data.
  • Support staff through this transition with conversational tools that require little or no technical training.

The bottom line? The focus on the Agentic AI isn’t about replacing people. It’s about giving mission-driven organizations the time and tools to focus on impact. And a failure to adapt may well result in failure to thrive.

fusionSpan’s Volunteer Coordinator Super Agent Wins Dreamforce Agents for Good Hackathon!

Avatar photo October 17th, 2025 by

It’s an exciting opportunity, it’s an honor, but more than that, it’s a validation of the way we approach innovation.

We’re so excited to share that fusionSpan placed first among 56 entries at the Dreamforce 2025 Agents for Good Hackathon, a competition that challenged participants to design agentic solutions for mission-driven organizations.

For our team, it was an opportunity to demonstrate what happens when you start with a clear problem, listen deeply to stakeholders, and apply technology with intention.

Our winning entry, the Volunteer Coordinator Super Agent, was inspired by a familiar challenge for many organizations: the constant, time-consuming work of volunteer scheduling.

Rather than reinventing the volunteer management wheel, our team asked a simple question:

How can we reduce friction for volunteers while freeing up staff time?

Starting with that “why,” we mapped out the agent’s role, pinpointed the key actions, and made sure it could integrate into existing systems and processes without adding any unnecessary complexity.

What is the Volunteer Coordinator Super Agent?

The Volunteer Coordinator Super Agent was created in response to a clear need: volunteer scheduling and management tasks were taking up time that could be better spent on strategic, mission-critical work.

Our solution automates routine scheduling while keeping the volunteer experience front and center. Our agent can:

  • Respond to volunteers when they ask to schedule, reschedule, or cancel a shift.
  • Create, update, and cancel volunteer shifts automatically.
  • Trigger communications to find a replacement for cancellations.
  • Update internal-facing volunteer schedules and records in real time.

It frees up valuable staff time while improving response times and supporting better volunteer outcomes.

What is the Agents for Good Hackathon?

The Agents for Good Hackathon brings together innovators and technologists to design AI agents that solve meaningful problems for good causes.

This inaugural competition, hosted during Dreamforce 2025, is part of Salesforce’s broader focus on inspiring human-centered, responsible AI development.

Learn more about the initiative.

How to Build an Agent for Good

Our process was guided by one principle: build a solution that makes life better for associations.

1. Start With the Why.

Before even starting to build a solution, we asked ourselves: What is the problem that needs solving?

We surveyed our team of association technology experts and surfaced a clear problem. Volunteer coordinators were spending too much time managing schedules. The work was essential but menial, and pulled focus away from the higher-impact, human aspects of these roles.

This first step is critical because technology for technology’s sake solves nothing.

2. Consider Existing Systems.

For this agent to be impactful, it needed to fit within real-world systems and processes that organizations already use.

We asked:

  • Where do customers already go to sign up or communicate?
  • What are the most repetitive and easily automated tasks?
  • What data does a human coordinator rely on to complete these tasks?

By grounding our agent in these answers, we ensured the Super Agent could enhance existing processes without causing a system breakdown.

3. Focus on BOTH Volunteer and Staff Experience.

In an ideal world, AI should make work both easier and more human.

We designed the Volunteer Coordinator Super Agent to improve both the volunteer and staff experience. Volunteers get faster, more seamless interactions. Staff spend less time managing logistics and more time driving engagement. The organization’s overall outcomes improve.

What’s Next for fusionSpan and Agentforce?

Winning the Agents for Good Hackathon is a milestone, but it’s also just the beginning.

As the capabilities of Agentforce 360 continue to evolve, fusionSpan will continue to help mission-driven organizations design AI-powered solutions that increase impact and reduce administrative effort.

If your organization is ready to explore what AI can do for you, we can help get you started.

Book Your Free AI Strategy Session

The AMS Model is Evolving: What to Consider When Revising Your Association Tech Stack

Jessica Richardson November 19th, 2024 by

Creating the ideal tech stack for associations has evolved beyond merely selecting an AMS and assuming that’s enough. Our recent webinar directly addressed this shift, featuring insights from industry experts Reggie Henry of ASAE, Gretchen Steenstra of DelCor, and Noel Shatananda of fusionSpan, all of whom have storied histories in the association technology space. They highlighted several key points, such as the pros and cons of using a hub-and-spoke model, exploring alternatives like iPaaS (Integration Platform as a Service), and emphasizing that the true core of any tech stack should be a deep understanding of your organization and its members.

The Hub-and-Spoke Model for Association AMSs

Traditionally, the hub-and-spoke model has been a go-to for associations looking for a structured, centralized approach to managing data and operations. In this setup, the AMS typically acts as the “hub,” with other applications and systems as the “spokes,” funneling data and insights back to a central point. The hub concept was originally about bringing all data into one place to streamline and simplify operations. When this model emerged in the nascent internet and pre-API days, centralized managed package solutions made tremendous sense to associations that had previously been tasked with managing complex communications between disconnected technologies, all on their own.

The Hub-and-Spoke Model for Association AMSs

This image shows a traditional hub-and-spoke structure where the AMS is the central hub to which each spoke passes data.

The model can have significant advantages: a single source of truth, simplified reporting, and, ideally, a more manageable data flow. But as member expectations change and new tools arise to meet those needs, many associations are finding that they would like more agility and flexibility in their tech stacks. This desire has given increasing power to decentralized “best-of-breed” and “best-of-need” approaches that allow organizations to pick the best tool for their current needs and make as-needed changes to member-facing technologies without disrupting the core business functions that keep their association running.

Alternatives to the Hub-and-Spoke Model for Associations

iPaaS for Associations

As the technology surrounding associations evolves, we see alternative models gaining traction. Noel Shatananda walked us through an increasingly popular structure built around Integration Platform as a Service (iPaaS). While this solution is similar to a traditional AMS-centric approach with data at the center as a single source of truth, iPaaS allows different applications to communicate without necessarily funneling all data into a single, cumbersome database. Instead, the iPaaS passes only essential data between the central repository and external tools while allowing more transactional data to move directly between applications as needed. This iPaaS setup lets associations choose the best applications for each task without impacting the general flow of the broader system.

Associations often consider the AMS a hub because it’s familiar and makes the data accessible in one place. However, the iPaaS model lets you prioritize functionality by integrating best-of-breed applications without forcing everything through a single-core system.

Alternatives to the Hub-and-Spoke Model for Associations

Here is an example of an iPaaS solution in which each system can communicate directly without needing to pass through the data repository.

A “Hub-less Approach” to Association Management

Reggie Henry gave us an overview of the result of ASAE’s recent system revision. Instead of a hub-and-spoke, Reggie described a system broken into three key categories: Member Facing Technology, “Run the Business” Technology, and Insights and Analytics Technology. These three categories are tied together by a middleware iPaaS solution. The middleware solution allows ASAE to plug and unplug member-facing tech as needed to keep up with changing expectations without disrupting the behind-the-scenes operations.

The Real Foundation of Your Tech Stack

We can’t overemphasize the importance of building your tech stack on a detailed understanding of who your members are and what they need from you. Too often, associations make tech decisions based on staff convenience rather than member experience. Associations should constantly ask themselves how their systems serve members and whether they align with the organization’s mission. It’s an essential reminder: technology should be a tool that enables member engagement, not just a repository for data.

Gretchen Steenstra stressed that this consideration must extend to overall useability for both members staff. Accomplish this by maintaining an ongoing and open dialogue between staff departments and be willing to prioritize simplicity over complex solutions. Just because it makes sense to your staff (the experts in your tech) doesn’t mean it will make sense for the end user (your members).

What to Consider as You Begin a Tech Stack Overhaul

This is a complex process that cannot accurately be compiled into a simple checklist. However, the experts agreed on a few fundamentals that you should nail down before moving further along the journey.

  1. Understand who you are to your members and what they need from you.
  2. Understand your organization’s capacity for system changes and maintenance – from a time, money, and talent perspective.
  3. Draw your systems map.
  4. Take your problems and goals to your vendor and partner community to crowdsource a solution.

Conclusion

If there’s one thing we can agree on, it’s that no single model is perfect for all associations. It’s about finding what works for your organization’s current needs and future direction and being able to change your perspective when shopping for a new technology.

Every tech stack should be as unique as the association it supports. With a clear understanding of your members, a flexible approach to technology, and a willingness to experiment with new models, you can build a tech stack that’s as dynamic and adaptable as your organization.

What is Agentforce, and What Does it Mean for Associations?

Avatar photo October 8th, 2024 by

Unless you’ve been hiding under a rock for the past two weeks (or actively avoiding the deluge of Dreamforce content on LinkedIn – no shame here, we know it can be a lot), you’ve heard the tale of Agentforce. But what is it? How do you use it? And what does it mean for associations and nonprofits?

What is Agentforce?

Agentforce, formerly Einstein Copilot, is an autonomous AI agent capable of operating independently to provide 24/7 support to employees and customers that far surpasses the functionality and level of service provided by AI-based chatbots of yore.

Agentforce communicates in natural language, responding across channels, and performing tasks proactively within guidelines set by your organization. It can be used in any cloud product and relies on the foundation of the Atlas Reasoning Engine and Data Cloud.

How Does Agentforce Work?

Agentforce has five key building blocks to support functionality:

  • Role: The role is the agent’s purpose and the job to be done. Think of this as a job description for your agent that outlines the broader goals it should achieve on your team.
  • Data: Like any AI technology, an agent cannot operate without data. This might include internal data like operating procedures, external content like blog articles or websites, AMS data, etc., and will rely on Data Cloud.
  • Actions: Actions are predefined tasks an agent executes to fulfill its role and are based on a trigger or instruction.
  • Guardrails: These allow your organization to limit what an agent can do and when you would like to involve a human in the process.
  • Channels: AI Agents can work in multiple channels including on your site, CRM, Slack, and more.

On a more detailed functional level, agents operate on topics and actions.

Topics are the “jobs to be done” for your agent. You can think of a topic as a job that can be achieved with a consistent set of tools (actions) and rules (instructions) for how to do that job. To create a topic in Agent Builder, start by naming, describing, and defining the scope of the topic in natural language. To finish the topic, create a list of natural language instructions to act as rules that define how the agent should complete its tasks.

How Does Agentforce Work

Actions are the tools the Agent uses to do the job. Examples include searching knowledge-base articles, looking up information (e.g. order status), or updating data (e.g. changing the address on an account, creating a case record).

How Does Agentforce Work

In our demo, you can see how the agent takes input from a customer and then applies the instructions and actions to reason a response.

How Does Agentforce Work

How Can Associations Use Agentforce?

How frequently does your staff handle requests like these?

  • I need to renew my membership.
  • I can’t log into my account, can you help?
  • How do I pay for my outstanding balance on a specific order?
  • I want to register for XYZ event, where do I go?
  • Can you update my username from to ?

If you’re anything like most associations, your answer is, “often”.

Agentforce is still in the early stages of release, but the potential benefits for associations are obvious and two-fold.

  1. Association staff can spend less time on tedious tasks like those mentioned above.
  2. Association members get instant, high-quality service.

Let’s walk through an example of using an agent for membership management.

A member reaches out via your website’s chat to get help with membership renewal. You’ve built your agent to process this request by taking payment, updating membership status, and updating membership renewal dates. You can further customize this process by:

  • Sending them to your custom renewal page.
  • Providing an order summary.
  • Asking the member if they would like to complete the payment using a card on file – “Would you like to renew your membership using the card ending in 1002 or 0000?”
  • Asking the member to make a donation based on their history of previous donation behavior.

This highly personalized experience provides your member with instant and comprehensive service while removing the process from your team’s to-do list.

Conclusion

Agentforce heralds a new era of autonomous AI and provides associations with a powerful tool to improve member experience and operational efficiency. By leveraging the power of autonomous AI, Agentforce offers a transformative solution that goes beyond traditional chatbots, providing 24/7 support that is both intelligent and proactive.

Agentforce represents a powerful opportunity for associations to stay at the forefront of technological innovation while remaining true to their core mission and serving members. By embracing this technology responsibly and strategically, associations can position themselves for success in an increasingly digital and AI-driven world, ensuring they continue to deliver value and remain relevant to their members for years to come.

Like with any emerging technology, associations should approach Agentforce thoughtfully, considering factors such as data privacy, member preferences, and the need for human oversight in certain situations. If your organization is curious about taking this next step, fusionSpan is here to help!

Elevate Your Member Journey with CRM + Data + AI + Trust

Jessica Richardson October 8th, 2024 by

Associations consistently face growing pressure to meet their members’ evolving expectations. With the challenges of a new economy come higher expectations for more personalized, meaningful interactions across every channel. To succeed, associations must adapt by becoming more member-centric, data-driven, and technologically equipped. 

Being “AI-first” is no longer a luxury in this landscape—it’s a necessity. Associations must consider every platform they use to deliver superior value and foster deeper member relationships. However, many organizations aren’t set up to do this efficiently. This is where Salesforce comes in, providing associations with the tools to bridge the gap between high member expectations and current operational capabilities.

Introducing Salesforce Foundations

Salesforce introduced Salesforce Foundations at Dreamforce, giving associations free access to a range of powerful tools integrated into their existing Salesforce implementation. This makes starting with a connected Customer 360 approach more accessible, which is vital for delivering a seamless member experience. 

With Salesforce Foundations, your association can now tap into cross-departmental features such as:

  • Member Journey Management: Track and nurture every stage of a member’s journey.
  • Service Case Resolution Tools: Efficiently manage member inquiries and provide quick support.
  • Marketing Email Campaigns: Reach members through personalized campaigns across multiple channels.
  • Commerce Storefront: Streamline your event registrations and product sales.

Introducing Salesforce Foundations

The Foundation for Success: A 360-Degree Member View

While these new technologies are exciting, the real foundation for elevating your member journey is creating a 360-degree view of each member. A CRM (Customer Relationship Management) system is more than just a repository for member information; it’s the key to transforming how you interact with and serve your members. When used effectively, it can profoundly change your members’ experiences.

Imagine if anyone in your organization could instantly see what’s happening with a particular member—whether they registered for an event, responded to an email campaign, or submitted a support request. This unified view would allow your team to be more responsive, offer personalized support, and create a legacy of member-focused engagement. 

However, many associations face challenges in achieving this unified view due to data silos. Different systems collect data for various objectives, such as member management, events, or marketing, leading to fragmented member profiles. The result? Staff is left playing “connect the dots” across different platforms, leading to inefficiencies and mistrust in the data.

Breaking Down Data Silos

Salesforce Foundations tackles this issue head-on by unifying data through Data Cloud. Data Cloud connects to your data sources at hyperscale, using out-of-the-box connectors and the MuleSoft Anypoint Platform to collect data in real-time or batch processes. Regardless of its original format, Data Cloud harmonizes your information into a standard data model, creating a single source of truth for every member.

This unified profile becomes your CRM’s backbone and is activated across all Salesforce applications. With the unified data, associations can now access calculated insights, perform real-time segmentation, analyze results using Tableau, automate triggers, and, crucially, leverage AI to provide a truly connected member experience.

Leveraging AI to Enhance Member Engagement

AI is the linchpin of today’s member-centric strategy. Salesforce’s Einstein AI integrates with Data Cloud, allowing your association to tap into the power of predictive and generative AI to enhance member experiences. Einstein acts as a context engine, utilizing your unified data to predict behaviors, recommend the next best actions, and generate accurate content tailored to each member.

For example, AI can suggest personalized communications based on members’ past interactions or help guide them to relevant programs and events. This level of engagement not only enhances the member experience but also helps build lasting loyalty within your association. 

The AI Revolution is Here—Are You Ready?

We are in the midst of an AI revolution, reshaping how associations engage with their members. Salesforce has been at the forefront of this transformation since the early days of Salesforce Einstein, focusing on predictive AI to change member relationships. Earlier this year, Salesforce entered the next phase with generative AI, launching GPT products that provide productivity boosts for organizations. 

The launch of Agentforce heralds  the third wave of AI: autonomous agents. These agents can communicate with members and perform tasks for you, blending predictive and generative AI capabilities. Think of them as the next generation of bots—not just responding with scripted text but also “thinking” and generating new content to handle interactions autonomously. 

For example, if a member wants to reschedule their volunteer shift, an agent can manage the entire interaction, freeing up your staff for more strategic work. This shift to AI-driven automation will allow your team to focus on delivering superior value to your members while minimizing manual processes.

The AI Revolution is Here—Are You Ready?

Trust and Security in the AI Journey

With AI’s growing role in member engagement, data security and privacy are top priorities. Salesforce’s Einstein Trust Layer addresses these concerns by enabling associations to benefit from generative AI without compromising data security. This layer uses dynamic grounding to securely enrich prompts sent to large language models (LLMs), providing relevant outputs while maintaining control over sensitive information.

Most importantly, your data is always stored in Salesforce. As soon as a model processes a prompt, the input and output are forgotten, ensuring your data remains secure and private. This commitment to data security allows associations to harness the power of AI confidently.

Trust and Security in the AI Journey

Enhancing the Member Journey with Unified Data and AI

Salesforce Foundations equips associations with the tools to create a cohesive member journey that moves individuals from awareness to advocacy. By leveraging Data Cloud, Salesforce Einstein, and Agentforce, your team can activate AI-driven insights to provide personalized, timely member interactions across every touchpoint. 

Change is accelerating, and associations must keep up to remain relevant. Embracing an AI-first, data-driven approach will help you meet current member expectations and position your association for future success. 

Ready to Take the Next Step?

The future is happening now, and associations can be at the helm of this transformation. Salesforce Foundations offers a comprehensive, integrated approach to member engagement—making it easier to connect teams, unify data, and leverage AI to deliver exceptional value to members. 

By embracing these tools, you can unlock the full potential of your CRM, elevate your member journey, and create a legacy of member-focused success for years to come. The time to act is now.

AI in Salesforce – What are the Capabilities?

Himali Shah December 18th, 2023 by

Salesforce has been at the forefront of AI in CRM technology ever since it first introduced an AI tool, Salesforce Einstein, to the platform in 2016.

Ever since, Salesforce has been testing, launching and expanding those AI capabilities, giving organizations using the platform more and more insight and efficiency, so they can make the most of every opportunity and deliver the best customer, donor or membership experience. At fusionSpan, we’ve been supporting non-profits to take full advantage of this.

What-are-the-Capabilities

Contents :

  • Salesforce AI capabilities
    • Predictive AI capabilities
    • Generative AI capabilities
      • A copilot for every Salesforce user
      • Tailored AI capabilities
      • Easy creation of new Salesforce applications
    • Challenges and considerations of using AI in Salesforce
    • Partner with fusionSpan to start making use of AI for Salesforce

AI in Salesforce – What are the CapabilitiesThe Salesforce platform hasn’t embraced AI for AI’s sake. At the heart of every effective Salesforce implementation lies a good data strategy. Its AI can simply help make an organization’s data more accessible, more relevant, and more actionable than ever before – all with the safeguards that make for responsible AI use.

All this is just the start, however. At Dreamforce 2023, Salesforce’s annual conference, CEO Marc Benioff showed how the timeline of AI was fast accelerating, with four easily identifiable waves:

  • Predictive
  • Generative
  • Autonomous and agents
  • Artificial general intelligence (AGI)

Salesforce was one of the first CRMs to introduce predictive AI in 2016, and while Salesforce has an eye to the future of autonomous AI and AGI, everyone else’s eyes are first looking to the introduction of generative AI. This is already being piloted and will be widely available for Salesforce users in 2024 as part of the new Einstein 1.

So, without further ado, we’re going to dive into some of the details of Salesforce AI and how it can make a positive impact on the work of nonprofits and membership organizations.

Ready to supercharge your Salesforce with AI?

Contact our experts today for a personalized consultation and take the first step towards enhanced efficiency and growth.

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Salesforce AI Capabilities – and how they’re changing

Salesforce AI Capabilities – and how they’re changingSalesforce’s AI capabilities help users to automate existing processes and improve the experience they’re offering members and donors. Salesforce Einstein also helps provide users with an even clearer picture of what’s happening in their organizations so they can make better informed decisions.

In the near future, generative AI is going to define what Salesforce is capable of. This is going to include the automatic creation and drafting of marketing assets, emails, transcriptions and code. It’s also going to lower the entry bar to data analysis, giving everyone in your organization the ability to make better decisions on the fly.

Salesforce’s predictive AI capabilities

Salesforce’s predictive AI, known as discriminative AI to the data scientists out there, can draw on your data to provide:

  1. Predictive analysis of member outcomes – for instance, whether a member is likely to renew their membership for another year, and how likely that is to change if your team intervenes.

  2. Classification of data, so you can automatically pre-populate or see suggestions for field values that describe a member or donor. Where relevant, you can also train Salesforce Einstein to recognize images and classify them, so you can quickly discover more insights about your leads and members.

  3. Scoring of how good a new lead or prospect is, so your team knows who to prioritize in their interactions, and so you can evaluate the effectiveness of your marketing.

  4. Automate aspects of your member journey. For instance, you might automate the triaging of new but lower-value leads, so that your team can focus on the cases where they can win the support of the most high-value donors and potential members.

  5. Natural language processing to automatically recognize and classify the intent behind a member’s question or request.

Salesforce’s generative AI capabilities

Salesforce’s generative AI capabilitiesSalesforce announced a partnership with OpenAI, the creators of ChatGPT, in March 2023, and ever since they’ve been searching for ways to safely integrate this breakthrough technology to better serve Salesforce users.

The introduction of generative AI capabilities to Salesforce will enable Salesforce users to achieve what they used to achieve – but faster, more easily, and with more insight. It’ll also give Salesforce users a way to complete tasks that were once beyond their technical, design or analytical capabilities.

The main difference between generative AI and predictive AI is that, while the latter can detect patterns and suggest actions, generative AI can detect patterns and create something new.

For a nonprofit looking to take advantage of Salesforce’s Einstein 1, for instance, generative AI can create you a landing page for a new fundraising campaign, or a new way of measuring your donors’ impact on your cause, or a personalized email campaign to disengaged members.

Here are some of the generative AI capabilities that will be a part of Salesforce once Einstein 1 has launched:

  1. A copilot for every Salesforce user. Einstein Copilot is going to integrate with every application in Salesforce, so no matter whether you’re on the events, marketing or fundraising team, you can get the insight you need simply by asking questions.

    For those of you who can remember it, it might well feel like an AI-powered version of the old Microsoft office assistant known as Clippy that used to accompany Windows users – though you might be glad to hear that Einstein Copilot doesn’t have the same big eyes and dated technology under the hood. That’s because, like ChatGPT, Salesforce’s assistant will make use of Natural Language Processing.

    When given a prompt, Copilot will be able to automatically prospect leads, draft answers to member or donor questions, send out action items to relevant parties after meetings, design aspects of your fundraising campaigns, and automatically create new segments and journeys, so you can make your membership experience even more personalized and effective.

    It’ll also be able to provide insight on the fly like never before. So if your fundraising team is on a call to a major donor, Copilot will be able to coach them through the process – making suggestions based on the donor’s data and the outcomes of interactions with other similar donors.

  2. AI capabilities designed specifically for your organization. Through Einstein Copilot Studio, you will be able to create reusable prompts that are connected to your organization and data, so that you can effectively run these as aspects of your member, donor or event participant journeys.

    You’ll also be able to use the Copilot Studio to teach your Copilot new skills, so that it can support your users and different parts of your organization in new ways.

  3. Easy creation of new Salesforce applications. Historically, if you wanted to create a new function in Salesforce, you would need the code to do it. Now you can create the same code through conversations with Salesforce’s Copilot Studio – which can convert natural language prompts (NLPs) into code

    This means that, in theory, anyone in your organization can ask questions of their data – effectively adding data analysis to their skillset without having to be a data analyst.

    At the very least, it gives the average user the tools to get started. You will still want experienced developers to review the code, but it gives your users a starting point, so they can get past the blank page and begin to test their theories.

Challenges and considerations of using AI in Salesforce

Although Einstein 1’s capabilities are built on the system OpenAI created with ChatGPT, Salesforce have been careful to de-risk it for organizations.

Those familiar with ChatGPT and its limitations will know the Natural Language Processing tool, while impressive, is vulnerable to problems such as hallucinations (i.e. presenting false or illogical information as fact) and a lack of transparency on where its data is sourced.

The Einstein Trust Layer will ensure that none of this is an issue for Salesforce users, so long as their organization’s data is clean. All prompts will go through a process designed to ensure data integrity, security and transparency.

The Einstein Trust Layer:

  • Prompt
  • Secure data retrieval
  • Dynamic grounding
  • Data masking
  • Zero retention
  • Generation
  • Toxicity detection
  • Audit trail

System administrators can even customize how Einstein Copilot will work within their own company, including designating what data the app can access and reference. This will ensure that Salesforce masks any sensitive or proprietary information from unauthorized users.

You don’t have to bear responsibility for this alone. By working with a Salesforce partner, such as fusionSpan, you can ensure that Einstein 1 and your organization’s data is set up for compliant success from the start.

Partner with fusionSpan to start making use of AI for Salesforce

AI is not a guaranteed win. Parker Harris, Salesforce co-founder and CTO, said in a September press release that an organization’s AI strategy is only as good as its data strategy. To succeed you need clean data, effective integration and a strategy that is designed to achieve your organization’s goals.

Compared to their commercial counterparts, associations and the non-profit sector don’t always hold new technological adoption as the highest priority. However, we’d recommend that all organizations lean in to AI, since it’s going to affect you, whether you start using AI in Salesforce now or not. You might as well begin now so you can start to understand it and monitor it.

At fusionSpan, we’re ready to help here, distinguished by our singular focus on the association and nonprofit sector. If you’re working outside the commercial sectors, our team is ideally positioned to help you succeed with AI in Salesforce.