Services
Six services, organised by the layer they operate on.
Agents sit on grounded AI. Grounded AI sits on a secure, observable platform. We work across all three layers, which is why the parts fit together rather than merely integrate.
AI and Agents
Production AI grounded in your own data, and agents that act on it under explicit controls.
Agentic systems
AI Agents and Agentic Systems
Intelligent agents that reason through tasks, retrieve organisational knowledge, call approved tools and coordinate multi-step workflows under clearly defined controls.
- Orchestration and task planning
- Tools, integrations and permissions
- Knowledge, retrieval and memory
- Evaluation, guardrails and observability
Production AI
Generative AI and Machine Learning
Turn organisational data and domain expertise into secure AI applications that solve a specific, named business problem.
- AI strategy and readiness
- Retrieval-augmented generation
- AI applications and copilots
- Evaluation and responsible AI
AWS Cloud
The secure, automated foundation that AI and application workloads depend on.
Cloud foundations
AWS Cloud Engineering
Design, migrate and modernise on AWS with the security, automation and observability that production workloads require.
- Architecture and landing zones
- Cloud migration
- Application modernisation
- Infrastructure as Code
Security and governance
Cloud Security and Governance
Identity, encryption, network controls, threat detection and governance built into the platform rather than bolted on afterwards.
- Identity and access
- Data protection
- Threat detection and response
- Securing AI and agent workloads
FinOps
Cloud Cost Optimisation
Cost visibility, architectural efficiency and ongoing controls — including the spend patterns specific to AI workloads.
- Cost visibility and allocation
- Resource and architecture efficiency
- Commitments and purchasing
- AI workload cost control
Engineering
Delivery, reliability and cost discipline — the practices that keep systems running after launch.
How we work
Six stages, and nothing skipped because a deadline is close.
Every engagement runs the same shape, scaled to its size. The measures of success are agreed before design starts, not reconstructed at the end.
- 01
Discover
Understand the business problem, the systems around it, the data available and what success would look like.
- 02
Design
Define the architecture, security model and implementation roadmap, and record the decisions behind them.
- 03
Build
Develop the platform, application, agent workflow and integrations in short iterations with working software at each step.
- 04
Validate
Test functionality, security, reliability, model behaviour and agent actions against the measures agreed at the start.
- 05
Launch
Deploy with monitoring, documentation and knowledge transfer, using a controlled rollout rather than a switch.
- 06
Improve
Use operational data, evaluation results and user feedback to improve performance, cost and business value.
Not sure which of these you need?
Most engagements start with an assessment or a review rather than a build. Describe the problem and we will point you at the smallest piece of work that answers it.
Book a Strategy Session