AI Engineering & Agentic Workflows
We add AI to products and operations where it pays for itself: features your customers use every day and agents that work through multi-step processes across your systems. Every action is logged, every important decision can go to a person, and quality is measured, not assumed.
Sound familiar?
Reading documents, copying data between systems and drafting the same replies. Skilled people spend their day on tasks a well-built agent can handle.
The prototype impressed in a meeting but is too unreliable, slow or expensive to put in front of customers.
Contracts, tickets and reports hold valuable information, but nobody has time to read them all.
You want the benefits without leaking data, losing control of spend or letting a model make decisions it should not.
What we deliver
Where AI genuinely helps in your business, ranked by value, risk and effort, with a clear first candidate.
Agents that plan, call your tools and APIs, and stop for approval at the steps you choose.
Summaries, classification, extraction, search and drafting built into your application with a proper interface.
Test sets, quality scores, input and output checks, and limits on what an agent is allowed to touch.
The right model for each step, caching and batching, so the unit economics work at scale.
Every run traced and reviewable, with alerts when quality or cost drifts.
How we work
We map the process, collect real examples and agree what "good" looks like in numbers before building anything.
A working version on your real data within weeks, tested against the agreed examples rather than judged by impression.
Guardrails, permissions, human approval steps, error handling and the audit trail a production system needs.
Released behind your existing sign-in and roles, on your cloud account, with dashboards for quality and spend.
Monthly reviews of real runs, new test cases from real mistakes, and model updates only when they measurably help.
Technology
Related work
In-house product
A browser-based workspace in which engineers work alongside AI agents. The agents plan, write and test code under explicit rules, ask for approval before risky actions and keep a full record of what they did.
Questions
No. We use enterprise model endpoints where your inputs are not used for training, and we can run inside your own AWS or Azure account.
Agents only get the tools and permissions a task needs, risky steps wait for a person to approve them, and every action is recorded.
Before building we agree a test set of real cases and the scores that count as success. Every release is run against it.
We estimate the monthly running cost during the assessment and design for it. Most workflows cost a fraction of the time they save.
Yes. Agents work through your APIs, databases and SaaS tools. Where there is no API, we build a small, safe one.
More services
A 30-minute call with an engineer who does this work every day. You will leave with a clear next step, whether or not we work together.
