Engagement Model
Map one workflow deeply before you build.
A five-day sprint maps one defined workflow, tests approved representative material, and produces a build recommendation. Scope, preparation, access, and reviewer availability are agreed before the sprint starts.
Day 1-2: workflow deconstruction
We do not run generic AI brainstorming. You bring a specific bottleneck, such as analysts extracting covenants from LPAs or reviewers checking evidence files. We map the data flow, decision points, review path, and required outputs.
Day 3-4: data readiness and method testing
Using representative material, we test extraction, OCR, retrieval, schema design, and review patterns to understand accuracy, source traceability, latency, cost, and data-sensitivity constraints.
Day 5: implementation blueprint
The output is a workflow map, technical architecture, security assumptions, evaluation notes, integration path, and a build recommendation: proceed, narrow scope, collect better data, or pause.
Who this is for
Operations, legal, finance, advisory, or diligence leaders who want to decide whether one painful workflow is technically and commercially worth building.
FAQ
Frequently asked questions
What do we need to prepare before the sprint?
A clearly defined workflow problem and a sanitized sample dataset (e.g., 10 sample contracts or reports) that represents the inputs.
Is this a free consulting exercise?
No. It is a paid, scoped engagement. The purpose is to produce evaluation notes and an implementation recommendation before you commit to a larger build.
Technology partnership
Build with an OpenAI Select Partner.
We design and integrate OpenAI services within your approved architecture.Have something in mind?