AI implementation01
AI implementation starts with the business workflow
The useful starting point for AI is a job that needs doing. Name the job, map what happens today, and decide what a completed result should look like.
Read the insight ↗20 PERSPECTIVES / BUSINESS. PEOPLE. AI.
INSIGHTS.
BUILT FROM
EXPERIENCE.
Practical perspectives from Derek Jodzio on building businesses, leading people, and putting AI to work. The experience behind Overcy, shared.
Meet the next chapter ↗20 insights
AI implementation02
How to choose your first AI workflow
A first AI project should be narrow enough to understand and useful enough to matter. Pick one task with a clear beginning and an observable result.
Read the insight ↗Growth & communication03
Where AI voice agents fit in a small business
An AI voice project is easier to assess when the business gives it a specific role. Start with what the caller needs and what the team should receive.
Read the insight ↗Growth & communication04
A missed call needs a next step
A missed call becomes an operating problem when no one knows who should act next. Start by designing that next step.
Read the insight ↗Growth & communication05
Lead qualification should support the sales team
Qualification is most useful when it helps the next person have a better conversation. Design it around what your sales team needs to understand.
Read the insight ↗Growth & communication06
Follow-up is an operating process
Good follow-up starts before the next message. The team needs to know why it is reaching out, who owns the task, and what should happen afterward.
Read the insight ↗AI implementation07
Designing the handoff from AI to a person
A handoff should help the next person continue the work. Specify when it happens, what information travels with it, and who takes responsibility.
Read the insight ↗AI implementation08
What to test before an AI workflow goes live
A useful pilot tests the business process as well as the conversation. Write down the expected result before you decide whether a test passed.
Read the insight ↗AI implementation09
How to measure whether AI is helping your business
Measure the business outcome you intended to improve. Activity counts become useful when they are connected to a clear definition of success.
Read the insight ↗AI implementation10
Why human support matters in AI implementation
Implementation creates an ongoing working relationship. The business needs to know who helps when its process changes or a new question appears.
Read the insight ↗Industry perspective11
Behavioral healthcare admissions: an operator’s perspective
Building a treatment center gave me a hands-on business perspective on behavioral healthcare. My focus here is the coordination around admissions and the people responsible for it.
Read the insight ↗Industry perspective12
Property communication is part of real estate ownership
A property is an asset and someone’s place to live. Communication belongs in the ongoing work of ownership, alongside the physical property.
Read the insight ↗Leadership13
Running multiple businesses with clearer workflows
Multiple businesses can share operating principles while needing different workflows. Begin with clarity about who owns the work in each company.
Read the insight ↗AI implementation14
From an AI demo to a useful business pilot
A demo can start a conversation. A pilot should answer a business question under conditions that are relevant to the team doing the work.
Read the insight ↗Leadership15
Keep your team involved when introducing AI
The people doing a job understand details that rarely appear in a short project brief. Involve them before changing the workflow.
Read the insight ↗Leadership16
Taking a business risk with clear accountability
Taking a risk is part of building. Accountability means being clear about what you are committing to and how you will judge the next step.
Read the insight ↗Leadership17
From enrichment programs to a builder’s mindset
As a teenager in high school, I developed summer camps and afterschool curriculum with the Enrichment Project. Creating something for other people was part of the story before the companies.
Read the insight ↗Growth & communication18
Scaling service while preserving human connection
A larger operation still serves one person at a time. Design the process so customers can understand what is happening and reach the people they need.
Read the insight ↗Growth & communication19
Turn customer conversations into useful operating feedback
A recurring question may be telling you something about the process. Turn those observations into specific improvements the team can own.
Read the insight ↗AI implementation20
Questions to ask an AI implementation partner
A productive vendor conversation should leave the business clearer about the work. Ask questions that turn broad promises into defined responsibilities.
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