Engagement Models

Three ways
to work with us.

Whether you need a second opinion before you commit, a system built to spec, or a partner to run it long-term, our engagements are structured to match the stage you're at, with clear scope, clear ownership, and no offshore opacity.

01Model

Advisory

For leaders deciding where AI fits.

AI readiness assessments, opportunity mapping, technology-stack and build-vs-buy analysis, and governance roadmaps aligned to NDPA and NITDA.

Outputs
  • —Readiness scorecard
  • —Prioritised use-case roadmap
  • —Governance framework
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02Model

Build

For teams ready to ship.

Custom AI and automation implementation: generative AI, LLM assistants, ML models, computer vision, NLP, and RPA. Delivered as scoped, milestone-based projects with evaluation and QA built in.

Outputs
  • —A production system
  • —Documentation
  • —Evaluation reports
  • —Knowledge transfer
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03Model

Manage

For organisations running AI at scale.

Ongoing managed AI services, monitoring, retraining and support, plus access to hosted AI products and APIs on a retainer.

Outputs
  • —SLAs
  • —Monitoring dashboards
  • —Monthly performance & cost reporting
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Pricing is scoped to each engagement. We're transparent about model and inference costs.

Process

Discover. Design. Build. Operate.

01

Discover

Learn your context and agree the metrics that define success.

02

Design

Architect the solution, data flow and guardrails before we build.

03

Build

Develop in iterations with human-in-the-loop evaluation at every stage.

04

Operate

Deploy, monitor and hand over. Your team owns what we ship.

Standards of Engagement

Every engagement is governed by an NDA on request, scoped in a written SOW, and delivered under our Responsible-AI standards.

Ready when you are

Tell us what you're trying to build.

We read every brief personally and respond within two business days.

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