AI Integration · Product Design · Secure Delivery

AI integration, designed to be trusted.

We design and build the interaction layer that makes artificial intelligence usable, auditable and safe — for commercial SaaS, internal corporate systems, and government.

Most teams can call a model. The hard part is everything around it: whether the answer can be trusted, whether a person can correct it, whether it holds up when an assessor asks how it works. That is the part we design.

What we do

Four practices, one team — so the thing that ships is the thing that was designed.

Agentic UX

Designing for systems that are probabilistic rather than deterministic: confidence indicators, uncertainty visualisation, human-in-the-loop review and override, and explainability the user can actually inspect.

  • Confidence and uncertainty made visible, not hidden
  • Human-in-the-loop review, approval and override paths
  • Decision logs a user — or an auditor — can read back

Agentic UX in detail

AI Integration

Retrieval-augmented generation, agentic workflows, tool use and model routing wired into the systems you already run — with an evaluation harness so quality is a number, not an opinion.

  • RAG: chunking, hybrid retrieval, re-ranking, citation fidelity
  • Agents: tool use, MCP, orchestration, bounded autonomy
  • Evals: golden datasets, regression suites, LLM-as-judge

AI Integration in detail

Application Development

Full product delivery — research, design system, front end, services, data and deployment — by the same team that designed it, so the thing that ships is the thing that was designed.

  • Discovery sprint to production, not a slide deck
  • Design systems and tokens that survive handover
  • Platform engineering: IaC, CI/CD, canary release, SLOs

Application Development in detail

Security Engineering

Cybersecurity infrastructure designed alongside the product rather than audited onto it afterwards: zero-trust architecture, segmentation, secrets management, and the evidence trail your assessor expects.

  • Zero-trust architecture across the five CISA pillars
  • Control mapping to NIST SP 800-53 / 800-171 / 800-172
  • Assessment-ready evidence, continuously produced

Security Engineering in detail

75%

of large-enterprise leaders name security, compliance and auditability as the critical requirement for deploying agents (KPMG, 2026)

3

markets served end to end — commercial SaaS, internal corporate systems, and government and defence

Nov 2026

CMMC Phase 2 begins: third-party assessment becomes mandatory for contractors handling CUI

Who we build for

Three markets with genuinely different constraints — and we do not pretend otherwise.

Commercial SaaS

Ship AI features your customers trust and your competitors cannot copy in a sprint.

How we work here

Internal Corporate Systems

Automate the work your staff actually do, without losing the audit trail.

How we work here

Government & Defence

Accessible, accountable systems that can pass the assessment they will face.

How we work here

Thinking about where AI fits?

Bring us the problem. We will tell you honestly whether it is worth building.

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