Make AI work for your business.

From practical automation to intelligent agents, we help you implement AI that delivers measurable value. We find the right opportunities, build and deploy the solution, and manage it after go-live. Security and governance are built in from the start.

Move beyond experimenting with AI. We look at how your organisation works and find the processes where AI can save time, improve quality or reduce cost. You get a business case for each opportunity and a practical adoption roadmap.

Document processing

Extract, check and route information from contracts, invoices, forms and correspondence.

Internal knowledge access

Give staff accurate answers from your policies, precedents and procedures, with sources.

Reporting

Prepare recurring management, client and operational reports from the data you already hold.

Administrative automation

Reduce repetitive work in onboarding, scheduling, data entry and case administration.

Start with an AI opportunity assessment. A fixed-price engagement with defined deliverables: a prioritised list of use cases, a business case for each and a practical roadmap.

Before you invest, find out what needs to be in place. Our AI readiness assessment reviews five areas and gives you a clear list of gaps and actions. It is a fixed-price engagement.

Technology

Whether your systems, licences and Microsoft 365 configuration can support the AI tools you want to use.

Data

Where your data lives, how good it is, who can access it and which information is too sensitive to share.

Processes

Which workflows are documented, repeatable and ready for automation.

Skills

How confident your staff and managers are with AI, and what training they need.

Governance

Whether you have the policies, approvals and controls to use AI safely.

Close the skills gap. We train your staff and managers to use AI effectively and safely, with guidance that matches your approved tools and policies.

We take AI projects from requirements to handover. We scope each project against the business process, the integrations, the risk and the expected value. We do not publish standard project prices, because those factors differ for each organisation.

  • Workplace AI rollout: ChatGPT, Microsoft Copilot, Gemini and similar tools
  • AI workflow automation
  • AI agent development
  • Enterprise knowledge systems
  • AI application integration
  • AI-assisted software engineering

Security built in

  • Agents get only the permissions their task needs
  • Human approval gates for consequential actions
  • Logging and auditability of AI actions
  • Data-protection review of providers, retention and training-data use
  • Testing for prompt injection and unsafe tool execution
  • Fallback procedures for provider outages and model changes
  1. Requirements

    We agree the business process, the data, the success measures and the risks.

  2. Design

    We design the solution, the permissions it needs and the human approval points.

  3. Testing

    We evaluate output quality and security against agreed criteria before go-live.

  4. Deployment

    We release it to your users with training and clear operating instructions.

  5. Handover

    We agree who operates it, maintains it, pays model costs and responds to issues.

Building or running AI agents? We can help your developers work with AI coding agents, and host your agents in secure, contained environments.

Models change, providers update their platforms and business processes move on. Our recurring managed AI services keep your AI solutions reliable, secure and cost-effective after go-live.

Managed Workplace AI

Administration, access, vendor management and ongoing configuration of workplace AI applications.

Managed AI Agents

Agent configuration, permissions, change control, monitoring and incident coordination.

AI Quality Assurance

Evaluations, regression testing, output-quality monitoring and improvement tracking.

AI Cost Management

Consumption monitoring, budgets, model selection and expenditure optimisation.

Managed AI services do not include production hosting or platform operations. Managed Cloud covers those. For each AI application we implement, we agree operating responsibilities, software maintenance, model and provider costs, and service levels.

Specialist AI security, compliance and risk management, for organisations whose AI use goes beyond the baseline in every Managed Cyber Resilience plan.

AI governance implementation

Formal governance processes, impact assessments and ISO 42001 readiness.

AI security assessments

Review of models, agents, permissions, integrations and data handling.

AI red teaming

Testing for prompt injection, tool misuse, data exposure and unsafe autonomous behaviour.

Ongoing AI assurance

A dedicated AI risk programme, and specialist monitoring of custom AI systems and agents.

AI agents

From building agents to running them safely.

AI agents can plan, act and use tools on your behalf. We help at every stage: the way your team builds them, where they run and how they stay under control.

Agentic software development

Help your developers adopt AI coding assistants and agents, with permissions, sandboxes and human review built in.

Working with your team

Secure agent hosting

Run agents in isolated environments, with their own identities, approval gates for consequential actions and a full audit trail.

Hosting agentic applications

Agent security and governance

Keep every agent in your AI inventory, with controlled permissions, security testing and incident procedures that cover AI.

AI Security

Start with a practical assessment.

Tell us which processes take too much time, or which AI tools your teams already use. We'll suggest where to start and what a first project could deliver.