Days 1 to 30 · Select
Choose one frequent, costly workflow; document how it works today; and define the measurable result an AI-assisted process must improve.
Monthly webinars
July 2026, past webinar
The AI-Ready Founder: From Learning to Doing in 90 Days
A 90-day operating plan for moving beyond AI experimentation and using the AI development lifecycle to build, deploy, and improve useful business systems.
Saturday, July 11, 2026
3:00 PM New York · 8:00 PM WAT · 9:00 PM CET
Session brief
Being AI-ready is not the same as collecting prompts or subscribing to tools. It means choosing a valuable business problem, understanding the data and risks around it, and creating a process that can move from prototype to reliable use.
This webinar introduces the AI Development Lifecycle: problem definition, data readiness, solution design, evaluation, deployment, monitoring, and improvement. Founders learn where human judgment remains essential and why a convincing demo is only the beginning of a production system.
A practical 90-day sequence helps lean teams create momentum. The first month is devoted to selecting a narrow workflow and establishing a baseline. The second tests a solution with real users and measurable acceptance criteria. The third integrates the successful workflow into normal operations with ownership, review, and safeguards.
The live demonstration, using AI to prepare a pitch, research a market, and draft a proposal, shows the opportunity for small teams to operate with greater reach. The lesson is to design repeatable systems around the tools rather than treating generated output as finished work.
Core lessons
What the session helps you do.
Days 31 to 60 · Validate
Prototype with representative inputs, test failure cases, involve actual users, and compare quality with the existing baseline.
Days 61 to 90 · Operationalize
Assign ownership, connect the workflow to real systems, monitor quality, and establish human review for sensitive decisions.
Scale from evidence
Expand only after the first workflow produces reliable value and the team understands its operating cost and risks.
Topics covered
- The AI Development Lifecycle
- Selecting high-value workflows
- Evaluation, human review, privacy, and reliability
- Live market research, pitch, and proposal workflows
Who it is for
- Founders and business operators
- Product and engineering leaders
- Lean teams adopting AI workflows
- Professionals moving from AI learning to implementation
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