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APPLIED INTELLIGENCE

Opportunity Engine

A public diagnostic that turns a website and two operating signals into a directional map of practical digital and AI opportunities.

Primary proof / Opportunity Engine

Opportunity Engine interface requesting a website and two business operating signals
The diagnostic starts with business frictionThe input structure keeps the analysis grounded in a public website, a desired change, and an actual operating constraint.

Context

AI strategy often starts with a list of tools rather than the business friction, repeated handoffs, and customer moments that deserve attention.

Constraint

The output must remain directional, distinguish invalid input from research-service failure, and avoid presenting generated recommendations as verified business results.

What we designed

  • Structured public website review
  • A three-signal business intake
  • Friction and opportunity synthesis
  • A focused opportunity brief for consultation

System / approach

The interface asks for the public business context, the change the company wants, and where work gets stuck before any recommendation is produced.

Proof

The captured interface shows the real three-signal intake and the language that frames the engine as a directional research and discussion tool.

What can be tested

Submit a company website, the change the business wants, and where work gets stuck. Review the resulting directional opportunity brief.

Analyze a business

Current status

Opportunity Engine is a public internal demonstration. Generated outputs are directional and should be validated before any implementation decision.

  • PUBLIC DEMONSTRATION
  • INTERNAL PRODUCT
  • PREMARKET

Outcome

The public evidence is the working diagnostic and its output structure. No client adoption, savings, pipeline, or operational outcome is claimed.