Artificial Intelligence at Q

At Q, we help organisations adopt AI with confidence. From validating the right use case to deploying and operating production-ready systems, we provide the engineering, governance and expertise needed to create lasting business value.

Agentic Sprint

Validate an AI Initiative in Just 10 Days

One use case in, a working agent out, and a costed path to production. Ten working days.  Fixed scope.  Fixed fee.  No lock-in.

Frame

DAYS 1–2

• Pick the one use case with real business value
• Define success metrics
  the board will recognise
• Confirm data access and technical feasibility

We don’t build until the case and the data are real.

Build

DAYS 3–8

• A working agent on your data, in your environment
• Reasoning, tool use and memory, not a scripted demo
• Guardrails a human-in-the-loop from day one

A prototype you can actually pressure-test.

Prove

DAYS 9–10

• Measured against the KPIs you set on day one
• A costed roadmap from prototype to production
• A clear build, buy or partner decision

You leave with a decision, not a maybe.

AI Ops Platform

Every agent, model and LLM in your organisation — seen, governed and operated in one place.

WHAT THE PLATFORM CONTROLS

Costs 
Spend per agent, token optimisation, break-even visibility
Traceability & audit
Full request & decision logging, agent action audit trail annex IV / DORA evidence
Accountability
Named owner per agent, human-gated approval, escalations & oversight
Performance & drift
Live monitoring, drift detection, retraining triggers

Q TEAM RUNNING IT

24/7 monitoring & alerting

Retraining cycles

Improvement backlog vs your KPIs

Incident & regulatory response

Security review & agent optimization

Embedded Agents

Multi-agent system specialised in working together inside your processes, fine-tuned on your data and deployed to production.

01

Built for a role.

Embedded in the workflow of a specific function. Lifts throughput where the work is high-volume and judgement-heavy.

02

Built for a domain.

Multi-agent systems shaped by the rules, data and compliance of one industry. Sit inside the client’s stack.

03

Built for a process.

Agents that sit in the gaps between systems and take over the manual handoffs no one owns, connecting to the client’s existing stack.

Human – Agent pods

Q engineers + specialised AI agents as one delivery unit. Every agent gated by a human approver. Lower blended cost, full audit trail.

Working as one delivery unit

Up to 40% lower cost

Mirrored or Compressed pod models

On Q’s H200 infrastructure (optional)

Nvidia H200

Our sovereign development and staging platform runs on NVIDIA H200 NVL GPUs with NVLink interconnect, serving foundation models up to the 235-billion-parameter class (currently Qwen3-235B-A22B in mixed-precision deployment). Sensitive development, testing and staging happen inside our perimeter on our on-premise NVIDIA infrastructure, so data never touches a public cloud during the build phase.

AI academy

To continuously strengthen our capabilities, we run an internal AI Academy. Over 100 Q’s experts have already completed the program, specializing in modern AI agent development, with top performers earning AWS AI certifications.