In this series on AI for small businesses, we’ve covered the basics of what AI is used for and how it knows about your data.
Agents have exploded in popularity over the past year. An AI model can do more than just spit out words, it can also ask itself the next question in order to make decisions––it reasons. The possibilities don’t end there. When given access to external tools, often via MCP, it can also act upon its own decision-making: it’s agentic.
AI is known for its generative abilities, but agentic workflows take that to its logical conclusion and has the AI plan and execute. You give AI an objective, not only instructions; it will think, act by calling the tools you’ve given it, execute the plan, and observe the result.
A CPA, for example, may ask AI the differences between two balance sheets, which is useful already––but to have it proactively reconcile them from numerous sources on a weekly basis, output them in a specific format, and email it to themself and their team with other customer information already filled in and proof-read? That’s the power of automation.
Everyone has unique problems and we’ve found ways to automate solutions across many industries. Reach out to us to schedule a call.