From AI strategy to enduring trusted operation of agentic AI at scale.
We help organisations adopt and exploit AI safely. We advise on where AI fits, build it with control designed in, and prove it's safe. Our own technology, EBM AxiOS, makes that control practical at scale.
We work as trusted advisors, alongside your team, or as your delivery partner.
AI strategy and advisory
For leaders who need to know where AI creates value, in what order, and how best to implement it.
- Identify use cases for where and how AI can help you realise your organisation's objectives
- Assess use cases on value, feasibility and risk
- Assess readiness and architecture: the systems AI needs to reach, the authority each action requires and where current controls break
- Advise on build versus buy, and sequence the enabling work (identity, data access, evaluation)
- Review stalled programmes or vendor proposals independently, before you commit
You get a prioritised roadmap and a control design your risk owners can support, including which ideas aren't worth doing.
Safe-by-design implementation
For organisations putting AI agents into production, where "we'll add guardrails later" won't satisfy a regulator or a board.
EBM AxiOS early-adopter programmeEBM AxiOS is new to market. We're working with a small number of clients on first deployments, with commercial terms and engineering access that reflect that.
Explore EBM AxiOS →- Create the foundations within your organisation that will enable you to deploy agentic AI with confidence
- Deploy EBM AxiOS inside your perimeter, so control is built in rather than bolted on
- Embed senior engineers in your team to build capability and set safe-by-design patterns
- Build production agents on your platform of choice, with an evaluation suite and documentation your team can extend
- Hand over with structured knowledge transfer and agreed support
You get AI agents in production that your risk owners can say yes to.
Alignment and governance
Confirm that your AI agents do what you intended, within the limits you set, and keep doing so as models, data and use change, monitoring them from the inside, not from the outside.
- Review live agent behaviour to confirm agents act within the boundaries you defined
- Test deployed agents for prompt injection, goal manipulation, tool misuse and privilege escalation, focusing on the handles, to confirm they hold under pressure in your real environment
- Conduct behavioural monitoring and drift analysis to track behaviour over time, and investigate changes caused by model updates, new tools, data shifts or changes in how people use the agents
- Near-miss review to assess unexpected agent behaviour to trace the causes and feed what we learn back into the design
You get the means to maintain Board and stakeholder confidence in your use of AI.
Move forward with AI, without adding risk.
Wherever you are on your journey, talk to the people who build safe-by-design AI.