What does it really mean to become an agentic enterprise? And is it possible for small businesses to achieve this?
The Become an Agentic Enterprise: A Step-By-Step Guide breaks down what the research said small businesses are getting right with agentic AI, where change management trips people up, and why keeping a human in the loop is actually the fastest path to ROI — not a limitation on it. Let’s get the key takeaways for startups and SMBs right here — straight from the guide.
Looking to turn your AI potential into business reality?
Follow this free guide with step-by-step instructions, the latest use cases, expert interviews, and interactive worksheets for your team.
The following statistics and quotes are cited directly from the guide.
About the guide: Become an Agentic Enterprise
This guide draws on Salesforce’s own usage data and interviews with over 2,000 AI decision-makers to show how organizations are actually deploying AI agents — where they’re seeing ROI, where initiatives stall, and how much human oversight stays in the loop. For growing businesses, it’s a practical look at what’s working for lean teams, not just large enterprises with big AI budgets.
Takeaway #1: SMBs are officially on the map
Small businesses have a real edge here: AI agents are just so available now, and easily trained, that small teams are hopping on board. Businesses are already seeing ROI from agents, 36% point to a narrowly scoped use case as their top success factor — proof that “start small” is now “start fast.”
Sneak peek in the guide: Tommy Stricklen, VP of SMB Global Productivity, has seen this play out repeatedly: Small businesses often out-adopt much bigger companies because they pick one clearly defined problem instead of trying to fix everything at once, then scale from what they learn. That’s a very different posture than the enterprise playbook, and it’s one worth leaning into rather than fighting.
Takeaway #2: Change management matters more than the tech itself
Here’s something that might surprise you: Cost isn’t the top reason AI initiatives stall. Only 19% of organizations point to budget as their biggest barrier. More than 2,000 AI leaders said what they’d do differently with hindsight, the most common answer wasn’t “choose a different vendor” or “spend more.” It was an investment in change management earlier on in the process.
For a small team, that might mean something as simple as walking everyone through what the agent will and won’t do before it goes live, so nobody’s caught off guard when a customer’s first interaction is with an AI agent instead of a person. Get ready to change it up.
Sneak peek in the guide: Organizational resistance (29%) and a lack of AI fluency on the team (29%) are bigger obstacles — and for a small business without dedicated change-management, those numbers matter even more. Check out the guide for a deep dive into AI fluencies and strategies.
Takeaway # 3: Human oversight is mandatory; get ready
There’s a myth that agentic AI means taking people out of the loop entirely. The data says otherwise. Agents are prebuilt, ready to customize and need management. Almost everyone builds agents around how their team already works, with a specific person responsible for each agent — a full time job. With smart tools like Agentforce agents show up ready to help.
Train and integrate them with your customer relationship management (CRM) to keep your team connected and supported. It’s less about bolting on AI agents and more about having them trained and ready 24/7.
Sneak peak in the guide: Teams that get this right see customer satisfaction up 29%, resolution times 31% faster, and operating costs down roughly 29%, with a median time to ROI of just eight months. This is really what agentic AI comes down to: Not replacing your team, but giving them a partner that handles the repeatable work while a person still owns the judgment calls.
Take your insights on the road: Where SMBs go from here
What’s next for your business? AI seems to be leading the way; jump on board with us and see what we can do together. There are thousands of resources available to you as you learn and grow, we’re here for you every step of the way.
Get the free guide and start building your agentic enterprise today: Become an Agentic Enterprise: A Refreshed Step-By-Step Guide
AI supported the writers and editors who created this article.
What’s agentic AI, and how’s it different from regular automation?
Agentic AI refers to AI agents that can understand a request, make a decision, and take action on their own — like resolving a support ticket end-to-end — rather than just following a fixed set of rules. Traditional automation handles repetitive steps; agentic AI can handle judgment calls within the boundaries you set.
How long does it actually take to build an AI agent for a small business?
It depends on the scope, but narrowly defined use cases can move fast — Engine built its first agent in 12 days by focusing on a small handful of high-volume tasks instead of trying to automate everything at once.
Do I need a technical team to deploy AI agents?
Not necessarily. Tools built for small businesses are designed to be configured rather than coded, and the latest Small Business Trends Report has more on how lean teams are approaching this without dedicated engineering resources.
Will AI agents replace my customer service or sales team?
No — the data shows the opposite is more common. Most organizations running agents keep a human owner assigned to each one, using agents to clear repetitive work so people can focus on the conversations that need real judgment.
What’s the biggest reason small businesses succeed with AI agents early on?
Scope. Organizations seeing ROI most often point to picking one clearly defined use case rather than a broad rollout — start with your highest-volume, most repeatable task and expand once you’ve proven it works.
