Engagement models for governed production AI

Clear delivery models for teams evaluating governed production AI, ownership, and compliance-by-design execution.

What you get: focused delivery by a small senior team, full system ownership from day one, and governed production rollout — not months of discovery theatre before the first line of code ships.

Commercial model:Scoped builds, ongoing factory delivery, or outcome-aligned structuresOwnership of delivered systems stays explicit

AI Proof-of-Value

Validate before you commit

Exploration

A focused early-phase engagement using your real workflow context so you can assess feasibility, governance needs, and production readiness before a larger build.

Example: test a document, onboarding, or review workflow against your real constraints, then decide what a governed production path should look like.

Requirements analysis with your team
Exploration artifact grounded in your workflow context
Governance and delivery-risk review
Production roadmap and commercial recommendation
Clear handoff materials for the next phase
Best forTeams validating a workflow before broader commitment
TimelineEngagement shape set by scope

AI Sprint

Structured system delivery

Fixed scope

A governed production build for a clearly defined workflow, with explicit deliverables, ownership clarity, and a structured rollout path.

Example: a regulated workflow automation system with document processing, orchestration, review logic, and audit-ready operating controls.

Everything from the proof-of-value phase
Production-grade system architecture
Compliance-by-design delivery
Deployment and team enablement
Operational handoff and readiness support
Best forA defined production system with clear operating boundaries
TimelineStructured around the delivery plan
MOST POPULAR

AI Factory

Ongoing governed delivery

Dedicated capacity

A sustained delivery model for organizations that need ongoing AI system buildout, control refinement, and expansion across workflows over time.

Example: extend an initial production workflow into adjacent use cases, stronger controls, and broader operating improvements as the system matures.

Everything in AI Sprint
Dedicated AI engineering capacity
Regular delivery cycles and reviews
Monitoring, optimization, and scaling support
Priority operating support
Strategic review checkpoints
Best forMultiple AI systems or a broader governed production roadmap
TimelineDesigned for continuous delivery

Outcome-Based

Shared commercial alignment

Custom

For selected projects, part of the commercial structure can align to clearly defined business outcomes when scope, measurement, and operating context make that sensible.

Example: agree upfront on the operating outcomes that matter, then align parts of the delivery model to those outcomes.

Everything in AI Factory
Commercial structure aligned to agreed operating outcomes
Shared risk and delivery accountability
Regular outcome reviews
Transparency on measurement assumptions
Best forProjects with clear outcome ownership and measurable operating value
TimelineStructured around agreed milestones

Verified proof we can stand behind

TaxBuddy

Production AI workflow

Verified outcome: 100% payment collection last filing season.

Centrum Broking

KYC automation

Public proof point: regulated workflow automation delivery for Centrum Broking.

We only publish outcomes we can verify. If you want projections for your specific workflow, that's what the free audit conversation is for.

Common questions

Every engagement starts with a focused conversation about your workflow, constraints, governance needs, and production path.

Verified proof points

Production AI workflow for tax operations.

TaxBuddy
Verified result: 100% payment collection

Regulated KYC automation delivery for a live onboarding workflow.

Centrum Broking
Production KYC automation for a regulated workflow

Pricing Questions

Common questions about our transparent pricing and enterprise plans