Opportunity & boundary brief
Workflow, data rights, deployment boundary, baseline and success criteria.
HOW IT WORKS
From your know-how
to production.
A managed path from approved data to a specialist model, with clear deliverables and decision gates at every stage.
THE SHAPE OF YOUR ADVANTAGEData, organized for learning.
03 / THE PROCESSExpert-led. Evaluation-driven.
Four stages.
Clear decisions.
One focused workflow. A measurable baseline.
A model that earns its place in production.
THE DELIVERABLE / OPPORTUNITY BRIEF
We map a high-value workflow with your domain experts, establish today's quality and cost, and agree on a success threshold before training begins.
Business case + evaluation planYour knowledge, connected
WHAT YOU RECEIVEConcrete artifacts. Clear next decisions.
A pilot that earns
the next step.
Begin with a measurable baseline and a defined workflow. Production follows only when the agreed quality, latency, cost and deployment gates are met.
Scope a focused pilotApproved training & evaluation material
Data mappings, traceable examples, output schemas and a separate held-out set.
Model artifacts & evaluation report
Agreed weights or adapters, comparison results, limitations and unit economics.
Deployment & improvement plan
Access controls, review gates, monitoring, feedback and a planned refresh process.
06 / THE ENTERPRISE CASEControl the boundary. Prove the economics.
Designed for security.
Built for the business case.
Your data can stay
inside your enterprise.
Scope an enterprise-contained engagement in which preparation, training, evaluation and inference run in your environment. Raw training data stays within the approved boundary.
- Agree access, auditability and retention before training.
- Approve any export of synthetic data, telemetry or model artifacts.
- Document the deployment architecture and model rights for your review.
Security approval depends on your controls, requirements and selected infrastructure.
Plan a private pilotSpecialist models, routinely.
Frontier models, on demand.
Serve repeatable, high-volume tasks with a smaller specialist model. Keep frontier models available for harder cases and approved escalations. External model calls use only separately approved context and data routes.
- Measure cost per accepted decision, alongside quality.
- Include compute, hosting and maintenance in the business case.
- Validate when specialization improves quality, latency or unit cost.
The reference cases show gains on specific workloads. Your economics are established through a pilot.
Calculate the opportunityRIGHTS & COMMERCIALIZATION
Agree rights to weights, adapters and outputs. License a model or API only where data rights, the base-model license and your agreement allow it.
Keep the model
close to the work.
Expert feedback and observed outcomes guide future updates. Retraining is evaluated when policies, data or the workload change.
MAKE THE NEXT DECISION WITH EVIDENCE.Start focused.
Start focused.
Scale what works.
A scoped pilot makes the business case concrete.
Let’s talk