“The AI-powered business isn’t some sci-fi vision of the future—because if you’re not already working in one, you will be,” according to Fortune.com—“a viable business paradigm in which people determine direction and intelligent systems are responsible for the repetitive work.” In this paradigm, your “team that runs itself,” because that’s what your team will become, will consist of people and “AI agents and automated business processes that keep everything humming along, even when you’re not around.”
Start with the Right Problems
Start by identifying areas where the greatest value will be generated through automation. Chart your customer experience and your internal processes, and highlight the areas that involve repetition, decision rules, or manual effort. The usual suspects here are lead assignment, assignment tasks, approval, reporting, and handling customers. This is how you focus on real value, rather than just shiny objects, by thinking about how AI can solve your real pain points, rather than just listing possibilities.
Construct Your Hybrid Team
Next, think up your org chart as if AI was just another esteemed team member. Come up with just a few roles: for instance, an “ops coordinator” role for keeping projects on schedule, an “analyst” for taking input data and making it useful every day, and “customer concierge” for taking care of level one support questions.
A clear org chart means better automation performance.
Make Work Flow Autonomous
After you understand your roles, connect them to your work management system so the system can continue to move your work forward even without your constant monitoring. Triggers such as “new deal won,” “form submitted,” and “task overdue” can launch pre-built flows to assign roles, set due dates, as well as update status. This can be combined with AI to extract summaries of updates, produce drafts, as well as identify risks so that team members can quickly make a decision instead of hunting around for information.
Keep High Levers on High Levers
A business with artificial intelligence does not have to be a business without people. The point is to automate the parts of business that don’t add much value in order to allow more humans to concentrate on strategic thinking, creativity, networking, and hard problem-solving. It is important to make this clear: this means working up a list of those tasks in any process requiring a human element, setting up decision authority for approvals, and defining what happens in an escalation if a decision is uncertain to the computer program making the decision.
Measure, Refine, and Then Scale
But finally, please also learn to treat your tech stack as a living entity. You need agreed-upon KPIs. Examples would be hours of time reduced per month, time to respond to things, error rates, and revenue per employee. Analyze them. Then iteratively refine and craft new prompts, rules, and workflows like you would train an employee. Once an approach has been validated, be it an auto-managing onboarding process or reporting schedule, replicate it into other departments. This gives you a company where “handled automatically” becomes the default and your job description becomes more guidance than pushing every thing up a very long hill.