METHODOLOGY

A disciplined path from problem to production.

Every engagement follows the same five stages. Predictable, instrumented, and engineered for the realities of enterprise AI.

01

Discover

1–2 weeks

We map the business outcome, the data reality, and the constraints — regulatory, technical, and operational.

Deliverables
  • Problem statement & success metrics
  • Data audit & feasibility report
  • Risk & compliance register
02

Architect

1–2 weeks

We design the system end-to-end: model choice, data pipeline, evaluation harness, and the integration surface.

Deliverables
  • Reference architecture
  • Evaluation methodology
  • Build plan & milestones
03

Build

4–10 weeks

Annotation, model training, agent orchestration, and the infrastructure to run it — built in tight feedback loops.

Deliverables
  • Labeled datasets with QA
  • Trained & evaluated models
  • Production-grade services & APIs
04

Deploy

1–3 weeks

We ship into your environment with the observability and safety nets required to run AI in production.

Deliverables
  • Cloud or on-prem deployment
  • Monitoring, logging, alerts
  • Runbooks & handover
05

Optimize

Ongoing

Models drift, workflows evolve. We instrument feedback, re-train, and tune until the metric stays moved.

Deliverables
  • Drift & quality monitoring
  • Retraining cadence
  • Quarterly performance review

Ready to start at Discover?

Book a 30-minute discovery call or send us the brief.

Submit Project