Enterprise AI infrastructure
Harness your AI infrastructure
D6 Development builds AI into how companies work — governed, auditable and connected to the systems you already run.
01 · The shift
AI is becoming infrastructure
D6 Development builds AI into how companies work and how their customers experience them — not as a bolt-on tool, but as part of the operating fabric.
01
90%
We use AI throughout our own delivery. It makes building faster, and it means we ship what we have already proven on ourselves.
02
4×
Workflow and process automation across operations, support and delivery.
03
100%
Productised automation packages — the same leverage, without a bespoke build every time.
02 · Harness AI
What is an AI harness?
Most organisations buy AI tools. We build the secure orchestration layer that connects them to your people and systems. Every harness includes:
- 01
Private context layer
AI that executes multi-step work, not just answers.
- 02
Multi-model intelligence
OpenAI today. Claude tomorrow. Local models when required.
- 03
Agent orchestration
Customer-facing AI that doesn't feel like a phone tree.
- 04
Human approval
AI embedded into products and stacks you already have.
- 05
Governance & audit trails
Every interaction logged, versioned and auditable.
- 06
Monitoring & evaluation
Monitoring, evaluation and upkeep — deployed AI is not set-and-forget.
- 07
Enterprise integrations
Audits, policy and compliance-aware adoption, wherever it has to land.
01 · Industries
Built for high-stakes industries
Not every organisation needs governed AI infrastructure. These do — where a wrong answer carries regulatory, financial or human cost.
Clinical and administrative workflows where provenance, auditability and human approval are not negotiable.
Regulated processes where every decision needs a trail, and models can't be a black box to your risk team.
Environments where data cannot leave the estate and local models are the only acceptable answer.
Document-heavy work where retrieval has to be exact and citations have to hold up.
Creating digital solutions for complex industries
Customer-facing AI that has to sound like the brand, every time, or not run at all.
02 · Process
From strategy to production
Start with one critical workflow. Scale across departments on the same infrastructure.
- 01
AI opportunity mapping
Where AI would actually pay for itself, and where it wouldn't.
- 02
Harness architecture
We design the governance, data, security and orchestration layer.
- 03
Pilot deployment
One workflow, in production, measured against what it replaced.
- 04
Scale
Across departments on the same infrastructure, not a second build.
03 · Our position
Amplify, don't replace
The goal isn't fewer people. It's the same people freed from the work that never needed a human in the first place — with a system that shows its reasoning and asks before it acts.
04 · Why Department Six
Why Department Six
We run this infrastructure ourselves before we sell it. Strategy, engineering and design sit in one team, so the harness is designed by the people who have to operate it.
Tell us what's on your mind.
A workflow worth automating, an AI project that stalled, or a governance question you need answered first — start with a conversation.
Common questions
With the most repetitive process you have, not the most impressive one. The workflow people complain about is usually the one worth automating first.
No. Part of the work is mapping what you hold, where it lives and whether it can be trusted — that audit is the foundation, not a prerequisite.
Whichever fits the task. OpenAI today, Claude tomorrow, local models where data cannot leave your estate. The harness is the constant; models are swappable by design.
Your context layer stays private to you. Every interaction is logged, versioned and auditable, and nothing trains a public model.
A scoped engagement for the harness itself, then a smaller ongoing figure for monitoring, evaluation and upkeep. Deployed AI is not a set-and-forget asset.
That's the point of a harness. It sits over the systems you already run and connects them, rather than asking you to migrate first.