Engagement Model
Map one workflow deeply before you build.
In five days, we deconstruct one high-friction workflow, test representative documents or data against approved methods, and deliver a practical blueprint for whether it is worth building.
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. This is a paid, highly intensive engineering sprint designed to save you months of internal deliberation and failed proofs-of-concept.
Automate one urgent workflow.
Bring the workpaper, evidence review, gap analysis, ToD / ToE, diligence, verification, or ERP workflow where manual effort is already costing margin or delivery speed.