AI Agent
AI Agent Adoption
Don't let AI end at "deployed." Make it a system that keeps working on the ground.
We build the work of gathering information, judging, entering, approving, and reporting into a system that AI can support and carry out — an "AI agent."
Beyond just making something that technically runs, we design the permissions, exception handling, and the points a person checks — and connect to your existing systems and data — so it keeps being used in real operations.
Challenges we solve
- We adopted an AI tool, but it isn't used on the ground.
- The AI we built once never got more accurate and fell out of use.
- There's a lot of manual work — gathering, judging, entering, reporting.
- We don't know who to ask for AI that fits our own operations.
- We want to do it in-house, but we have no one who can handle AI.
- It ended as a one-off build, and improvement never continued.
We don't just add AI — we build it into the work.
Adding an AI tool on the side rarely takes root. We organise the work, judgement, and data, then design AI agents that fit the actual flow — and deploy and keep improving them.
What we hand to AI is not only a function, but the permissions, the basis for judgement, responsibility, the checks, and the learning loop. We don't assume full automation — we expand step by step from the range a person can review.
Designed to keep being used
We design not only the AI's function but its exception handling and the points a person checks — so it takes root in real operations rather than being abandoned.
Permissions & responsibility, designed
We don't assume full automation. We design what AI handles, what a person must approve, and how exceptions are handled — expanding from a safe range.
Integration with what you already use
We connect to your existing systems, SaaS, and data so the AI works inside your real workflow, not as a separate island.
Continuous improvement
We accumulate usage and the reasons behind human corrections, and keep raising the AI's accuracy over time rather than stopping at launch.
What we actually do
From organising the work to design, integration, validation, rollout, and ongoing improvement — we cover the whole as one engagement.
01
Organising the work and the scope for AI
We sort out which operations and decisions AI should support, and where it should not.
02
Designing the AI agent
We design the agent's permissions, the basis for its judgement, responsibility, evaluation, and learning — not just its function.
03
Integration with existing systems, SaaS, and data
We connect to the systems and data you already use, so the AI works inside your real workflow.
04
Build small and validate (PoC)
We start from a small, high-value use case and confirm accuracy and fit before expanding.
05
Rollout and operational design
We design the switch-over, monitoring, and the human approval flow for production use.
06
Ongoing improvement
We keep improving based on usage and human corrections, and expand the scope step by step.
How we proceed
We don't aim for full automation from the start. We expand from the range that can be safely entrusted.
The state we aim for
- AI is used day to day on the ground
- Manual work and checking are reduced
- People can properly review the AI's output
- Operations continue even when staff change
- The system keeps improving with usage
* Described as the state we aim for, not a guaranteed result. Scope and outcomes depend on the engagement.
Trusted By
Our work with over 100 companies in total
A selection of companies who have entrusted us with strategy, implementation and data foundations.
Above is a small selection of the companies we've had the privilege to work with. For details on other engagements, please feel free to get in touch.
Related services
Before adoption, it helps to organise what to change; the data behind it needs to be in order; and if you want a partner who keeps improving it with you, see FDE. We can start from any of these.
Related service
Planning AI & Operational Change
Clarify where to start, and define priorities and an execution plan.
View detailsRelated service
AI & Business System Development
Build AI and systems embedded into real operations and used continuously.
View detailsRelated service
Data Integration & Utilisation Platform
Integrate scattered in-house data into a state usable for decisions and work.
View detailsRelated service
FDE / Joint Business Development
Embedded engineers who keep evolving your AI and systems together with you.
View detailsCONTACT
Talk to us even before you know how to build AI into your operations.
We'll hear about your current operations and challenges, and organise where AI can help and how to start.