AI agent development UK teams can actually trust: agents that plan, use tools and take action toward a real goal, built with guardrails and evals, not a fragile autonomous demo that breaks on the first edge case.
Give a model free rein to plan and act and it will confidently do the wrong thing at speed. Without scoped permissions, human-in-the-loop checkpoints, and observability, an agent that takes actions is a machine for making expensive mistakes nobody can trace.
The viral clips work once, in a controlled setting, on a happy path. Real work has edge cases, flaky tools, and inputs nobody anticipated. Making an agent reliable — retries, fallbacks, evals, cost and latency limits — is the entire job, and it is exactly what the demos skip.
Agents are the wrong tool for tasks that follow a fixed set of steps. Bolting reasoning onto a job a plain function handles just adds cost, latency, and new ways to fail. The skill is knowing when you genuinely need an agent and when you do not.
We build agents scoped to a real job, with tool use, guardrails, permissions, and evals, tested and owned by you.
See what you get →Every build ships with the same core package. It is the baseline any AI agent development UK businesses pay for should meet, whether it runs a back-office workflow or resolves support end to end.
A reasoning and planning loop wired to the specific tools and functions the job needs, with the boundaries of what it can and cannot do defined up front.
Explicit permissions for every action, with approval checkpoints where a wrong move costs money, so the agent asks before it acts on the risky steps.
Retrieval over your data and task memory, so the agent reasons from your real context and remembers what it has already done.
A test suite for agent behaviour across happy paths and edge cases, plus retries and fallbacks for when a tool is slow or fails.
Full traces of what the agent did and why, with token budgets and latency limits so runaway loops cannot run up the bill.
Tuning, new tools, and drift monitoring after launch, from the team that built it.
If any of these describe you, we will tell you on the first call rather than waste your time or ours.
Founder at Seconddate
Foundry 5 really impressed me with their work on my AI-powered dating app. They nailed the UI/UX, starting with core app screens and then translating that vision to the web. The React site they built is sleek and polished - exactly what I was hoping for. What I appreciated most was their thoughtful approach and how easy they were to work with. They got the job done without needing me to micromanage.
CEO at StreaksAI
Foundry 5 surpassed all expectations in delivering our web development product swiftly and flawlessly. Their speed and eye for detail, especially under tight time constraints, showcase their commitment to excellence.
CEO, Xcelsior Capital
Working with Foundry 5 has been a great experience from start to finish. They seamlessly translated our vision into a website that not only showcases our brand and operations but also enhances our online presence as an investor in natural resources. Nothing was too much for them and they always put the client first.
CEO of Ove
Working with Foundry 5 to create the Ove app has been an absolute pleasure. Their professionalism, work ethic, and willingness to always go the extra mile has really impressed me. I would recommend them to anyone.
Loom Founder
Foundry 5 have gone above and beyond to bring my vision of Loom to life. Not only this, but they continue to be an integral part of our team. They are lovely people to work with, and I recommend them to anyone looking for a software partner. Particularly for non-technical tech founders (like me!) who need to ensure that their business is in safe hands.
Chief Product Officer Gather
The team has been instrumental in driving both the design and development of Gather, pairing a proactive, highly responsive workflow with the technical depth needed to handle our platform's complexity. Their partnership continues to move the product forward in a reliable and impactful way.
| Feature | Foundry 5 | Demo agent | Plain automation |
|---|---|---|---|
| Scoped to a real job with clear boundaries | |||
| Tool use and multi-step reasoning | |||
| Permissions and human-in-the-loop | |||
| Evals and reliability testing | |||
| Full action traces and observability | |||
| Cost and latency controls | |||
| You own the code and can extend it | |||
| Honest advice on agent vs. script |
Pricing for AI agent development UK founders can plan around: we scope the work, agree a price, and stick to it. No surprise invoices and no scope creep charges. You get a written scope document before code starts, and you own the agent outright once it is live.
For agents that grow: new tools, new tasks, new steps in the workflow. You reprioritise at the start of each sprint as you learn what the agent should and should not handle.
Anything else? Just book a call. We'd rather talk than write another FAQ entry.
✓Risk-free first project · Full refund if you’re not satisfied
A chatbot answers questions. An agent takes action toward a goal. Given a task, an agent can plan the steps, call tools and APIs, make decisions based on what it finds, and carry the work through — booking, updating a record, resolving a ticket, running a multi-step process — rather than just replying. The line matters: if you only need answers, a chatbot is simpler and safer; if you need something done across several steps, that is where an agent earns its place.
Only if it is built to be trusted, which is the whole point of doing it properly. We scope an agent to a specific job, give it explicit permissions for each action, and put a human-in-the-loop checkpoint wherever a wrong move costs real money. Every action is logged in a full trace, and we run evals and adversarial tests before it goes live. A well-built agent asks before it does anything risky and can prove what it did — the opposite of an autonomous black box.
You need an agent when the task takes several steps, tool calls, and decisions that cannot be written out in advance — where the path depends on what the agent finds along the way. If the work follows a fixed sequence, a plain script or workflow is cheaper and more reliable, and we will tell you so. The judgement about which one fits is part of the first call, and it saves you paying for complexity you do not need.
Common jobs include multi-step research and summarisation, back-office operations, customer support resolution that actually completes the task, data gathering and enrichment, scheduling and coordination, and internal workflows that span several tools. The agent plans the steps, uses the tools you give it, and works toward the goal, with the boundaries of what it may do defined up front.
Scoped permissions, human-in-the-loop approvals on risky actions, guardrails on inputs and outputs, retries and fallbacks for flaky tools, and cost and latency limits so a runaway loop cannot run up the bill. We build a full trace of every decision and action for observability, and an eval suite that tests behaviour across edge cases before and after launch. Reliability is engineered in, not hoped for.
Yes. We connect agents to the tools and systems where the work happens — your APIs, database, internal apps, and third-party services — through tool and function calling, with access controls that carry through. The agent works inside your stack rather than as a separate product bolted on the side.
A focused single agent is typically three to six weeks from scope to live. A larger multi-agent or multi-tool build runs longer. We agree the timeline in writing before any code, and you see a working prototype benchmarked on your real task in week two or three, with completion rate, cost, and latency measured before you commit to the full build.
Book a 30-minute agent scoping call. No pitch. We will tell you whether the AI agent development UK teams like yours need is the right tool for the job, and how to build it safe, reliable, and owned by you.
✓Risk-free first project · Full refund if you’re not satisfied
