Before a single line of code is written, we help you find the ‘Why’ and the ‘How’.
We facilitate open, exploratory conversations and structured workshops to de-risk your ideas and align your stakeholders. We can act as your fractional CTO and Strategy partner, ensuring your roadmap is achievable.
We start by listening. Before looking the tech, we can run collaborative workshops to understand the real challenges your team face. It’s a safe space to explore what’s possible and identify where AI can actually help. We focus on defining the ‘why’ first, so we build ‘problem-solving’ solutions.
Once we know the goal, we map out how to get there. We create a plan with you that feels manageable and aligns with your values. This phased approach ensures you don’t take on too much at once, helping you build internal confidence to proceed.
Building something internally? We can take a (gentle) look under the hood. This isn’t about judging your current setup, it’s about finding ways to make your daily work easier. We identify where your technology is helping and where it’s getting in the way, uncovering efficiencies that free up your time.
We advise on agent strategy, augment engineering teams, and build production agent systems — on your stack, in your tooling, inside your infrastructure.
Alongside that, we’ve been running our own R&D. Watching agent programmes stall on access control convinced us the problem needed solving at the architecture, not with another guardrail, so we built Handles — a patent-pending approach to constraining what an agent can do. We’re bringing it to market now, and working with clients to embed it into agent operations.
Very few firms our size invest in original IP. The work behind it informs how we approach every system we touch, whether or not you ever deploy it.
You have a roadmap and a board expecting results, and you want it pressure-tested by an experienced team with a solid track record delivering into production.
Your people are capable but haven’t built agent systems. We embed, build with them, and leave the capability behind.
You want it built, assured and handed over.
Where agents create value in your organisation, in what order, and what has to be true first.
We identify and score use cases on value, feasibility and containment difficulty, advise on build versus buy at the platform layer, and sequence the enabling work; identity, data access, evaluation ahead of the workloads that depend on it. That includes telling you which ideas aren’t worth doing.
For organisations with agent ambition and an unresolved security question.
We map the systems your agents need to reach, the authority each action requires, and where your current controls break under a non-deterministic caller.
For an agent programme that has stopped moving, or a vendor proposal you want read independently before signing.
We audit what’s been built and identify where it’s stuck.
Senior engineers working inside your team, on your backlog and under your delivery process.
For organisations who want to own the capability rather than outsource it. We pair with your developers, set the patterns, and make ourselves progressively unnecessary.
Agents designed against a real business process.
Process decomposition, context and retrieval design, tool scoping, human-in-the-loop decision points, evaluation harness. Built on your platform of choice or your own framework.
You get production agents, an eval suite and documentation your team can extend.
Our patent-pending Handles Runtime, deployed inside your perimeter, for organisations where “we’ll add guardrails” won’t satisfy a regulator or a board.
New to market. We’re working with a small number of clients on first deployments, with commercial terms and engineering access that reflect that.
We define the ontology for your estate, wrap in-scope systems as typed Handles, integrate with your identity provider and SIEM, and connect your existing agents over MCP without modifying them.
Independent testing of an agent system, ours or someone else’s.
We test for prompt injection, goal manipulation, tool abuse, privilege escalation and authority laundering, build behavioural regression suites, and design evaluation for non-deterministic outputs including drift monitoring after go-live.
For risk, compliance and legal functions who need to sign off on autonomy.
Led by an engineer who completed the Oxford AI Ethics, Regulation and Compliance Programme, so the controls are written by someone who also builds the systems.
Structured knowledge transfer with your platform and data teams, named-contact support during business hours with agreed response targets, quarterly architecture review as the estate grows, and training for the people who’ll own it.
We combine best-of-breed technology with consultancy and end-to-end implementation services to enable you to deploy and maintain AI enabled solutions.
We love a challenge and can take on as much or as little as is required, from specialist consultancy to get clients started – or over the final hurdles they face, all the way through to the day-to-day support and evolution of our clients’ solutions – when they don’t have the capabilty, resource or capacity in-house.
We have developed a tried and tested, collaborative process, which will allows a project to move rapidly yet prudently through six key phases. These stages are designed to create a clear and structured pathway from understanding the problem to delivering a fully functional and valuable AI solution, while ensuring that maintenance and optimization continue to deliver long-term success.
The first step in any successful project is to fully understand the problem at hand. During the Discovery phase, we partner with you to gain a deep understanding of your challenges, goals, and desired outcomes.
By carefully listening to your needs and gathering crucial insights, we ensure we are aligned from the start. This phase allows us to define the scope, set realistic expectations, and pinpoint the most valuable solutions to pursue. It’s the foundation for everything that follows, ensuring we are focused on delivering results that matter.
Once we have a clear understanding of your needs, we move quickly into prototyping. We prioritize getting an initial version of the solution into your hands as soon as possible. While it may not be perfect, this prototype allows us to test assumptions, identify potential issues, and gather critical feedback early on.
By iterating rapidly and refining the solution through multiple cycles, we ensure that the final product delivers real value. Each iteration brings us closer to the ideal solution, with ongoing feedback helping guide the process.
To ensure that the solution is ready for deployment, rigorous validation is crucial. AI models require thorough evaluation to guarantee that their outputs are reliable, accurate, and free from bias or errors. Validation isn’t just a one-time process; it’s continuous.
As new data is introduced and your business needs evolve, we refine and recalibrate the model to ensure ongoing effectiveness. Through a structured feedback loop, we gather real-world insights, enabling us to make necessary adjustments and build a solution you can trust.
With the solution validated and refined, we prepare for deployment. This stage involves integrating the AI system seamlessly into your existing workflows and infrastructure.
Our team works closely with your technical and business teams to ensure the solution fits perfectly with your operations. We also handle all necessary training, documentation, and support to guarantee a smooth transition. Our goal is to ensure the system is easy to use, efficient, and ready to scale as needed, ensuring immediate impact.
AI solutions require continuous maintenance to stay relevant and effective. After deployment, we don’t just walk away, we remain engaged to monitor performance, resolve issues, and refine the system as new data becomes available.
As your business landscape changes, so too should the AI solution. We establish a routine for regular updates, optimizations, and recalibrations to keep the system running at its best. Our ongoing partnership ensures that the solution remains valuable over the long term, adapting to new challenges and opportunities.
Success isn’t just about delivering a solution; it’s about ensuring that solution provides measurable value. From the outset, we work with you to define success metrics that align with your business objectives.
As we progress through each phase, we consistently measure the impact of the AI solution, providing regular updates and reports on key performance indicators. This data-driven approach allows us to make informed decisions, optimise outcomes, and celebrate the success of the project together.
