AI Project Analysis: Scoping 100+ Projects Faster
An AI project analysis agent that simulates CEO, CTO and PM thinking to improve estimation, risk analysis and resource allocation.
The challenge
App development teams were losing weeks to scoping and estimation, and early risk analysis depended on whoever happened to be in the room.
What we built
We built an agent that reviews a project brief from three perspectives — commercial, technical and delivery — then produces estimates, risks and resource suggestions with assumptions exposed. Teams can challenge each assumption instead of arguing with a black box.
The stack
LLM reasoning, structured templates, project data, review workflow.
Results are reported from the project and are specific to that client. They are not a guarantee of results for another business.
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How we measure success
Before the build starts, we agree on the numbers that matter: response time, completion rate, hours removed, conversion or retention. The dashboard is built alongside the workflow so the result is visible, not argued about. Where a client reports a percentage, it is measured against their own baseline — not an industry average.
What a similar build would involve
A comparable project usually starts with a discovery session, a written scope and a small pilot. The pilot proves the workflow with real examples before it is rolled out. If you want to explore a similar system, book a free consultation and bring one real example of the task.