01
Technical authority
We take the senior seat on the calls that are expensive to get wrong — feasibility, architecture, sequencing — and give you an answer you can act on rather than a deck.
- Technical due diligence and codebase assessment
- Architecture and feasibility review before commitment
- Phased engagement design and presales for AI-enabled delivery
02
Part of your core team
We embed. Your programme, your backlog, your standards — with senior people in it who have done the hard version before, and who are accountable for shipped work rather than advice.
- Senior engineers inside your delivery team, not a parallel one
- Modernization and cloud work carried with your team, on Azure or AWS
- We keep the team small on purpose — no bench, no juniors billed as seniors
03
Enabling your teams
The goal is that your engineers do this without us. We run the workshops, set the standards, and put the evaluation practice in place that makes AI-assisted delivery measurable instead of anecdotal.
- AI SDLC workshops and hands-on enablement
- Claude Code and coding-agent adoption programmes
- AI proficiency standards and evaluation practice
04
Agentic product development
We design agent systems that do real work: separated planning, implementation and review roles, wired into the systems a business already runs. Discovery moves in days.
- Subagent systems, orchestration workflows, MCP integrations
- Fast agentic discovery, then PoC through to production
- Proof-of-concept work across the current agent tooling landscape
05
Platform and tooling
The leverage is usually in the tool nobody has built yet — migration tooling, evaluation platforms, and internal assistants wired into systems a company already pays for.
- GenAI migration CLIs and code-transformation tooling
- Evaluation platforms for model and agent quality
- Internal AI platforms, analytics assistants and CRM integrations
- Metadata-driven no-code engines and low-code platform architecture