Engagement Model
5-Day AI Workflow Sprint.
Move from concept to a functional, secure architecture in 5 days. We analyze a high-friction workflow, test models against your actual data, and deliver a production-ready blueprint.
Day 1-2: Workflow Deconstruction
We don't do generic AI brainstorming. You bring us a specific bottleneck—e.g., 'our analysts spend 40 hours a week extracting covenants from LPAs'. We map the data flow, identify the decision nodes, and define the exact inputs and outputs.
Day 3-4: Data Readiness & Model Testing
Under strict NDA, we take a sample of your unstructured data and test it against multiple foundation models and OCR engines (GPT-4o, Claude 3.5, Azure Document Intelligence) to determine empirical accuracy, latency, and cost.
Day 5: The Production Blueprint
We don't deliver a slide deck. We deliver a technical architecture diagram, a security and VPC deployment plan, an empirical accuracy report based on the model testing, and a fixed-bid proposal to build the production system.
Who this is for
Operations, legal, or finance leaders who are tired of theoretical AI discussions and want to see empirical proof of what is possible on their own confidential data within a week.
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.
Stop reading whitepapers. Start building.
Let's scope this engagement and prove what applied AI can do for your actual data.