AI Agent Development Companies in the UK: Which Type Fits? (2026)

Businesses looking for AI agent development companies in the UK meet four kinds of provider. There are software houses that sell engineering teams by the month, partners that build agents inside one vendor’s platform, and specialists in a single sector. There are also studios that build custom agents for small and mid-sized businesses. No type fits everyone. The right one depends on your size, the systems you already run and whether you are buying a team or a finished job.

CodeLeap wrote this post and is one of the firms described, so read it as a buyer’s guide from an interested party. It is not a ranking or an endorsement. We picked one or two well-known examples of each type, not every firm, and within each type they appear in alphabetical order. Facts about each firm come from its own website as we checked it on 1 November 2026. A firm that finds a detail wrong or out of date can contact us and we will correct it.

Key takeaways

• The four types are team-extension software houses, single-platform partners, sector specialists and studios for small and mid-sized businesses. Each suits a different buyer.
• Whatever type you pick, ask the same six things. They cover system access, human approval, testing and monitoring, where data is processed, who owns the code and prompts, and how the work is priced.
• Of the six firms here, only CodeLeap publishes prices for agent work on the pages we checked. Compare a monthly team rate and a fixed project price on the same scope.
• Shortlist by sending the same one-page brief to two or three firms of the type that fits you.

Provider	Type	Built for
CodeLeap	Studio for small and mid-sized businesses	Small and mid-sized UK businesses
fluent:cx	Single-platform partner	Salesforce Agentforce users
Neurons Lab	Sector specialist	Financial services
N-iX	Team-extension software house	Enterprise clients
STX Next	Team-extension software house	Companies of all sizes
Yes Dynamic	Single-platform partner	Microsoft Copilot Studio users

What does an AI agent build involve?

An AI agent build is a software project with a language model in the middle. Our guide to what an AI agent is covers the idea, and seven real workflows show what agents do. This post covers what a provider takes on when you hire one. We do this work ourselves in AI agent development, so the steps below are ours too.

Most builds follow the same path:

1. Pick one job. A named task with a measurable output, such as drafting replies or chasing overdue invoices.
2. Connect the systems. The agent needs the CRM, inbox or documents the job touches, with the narrowest rights that work.
3. Set the limits. Decide what the agent does alone and what waits for a person to approve.
4. Test on real cases. Use your own awkward examples as well as clean ones.
5. Run and monitor. Someone watches what the agent does and fixes it when a connected system, a prompt or a model changes.

Steps two and three carry most of the risk. OWASP’s list of risks for language-model applications names excessive functionality, excessive permissions and excessive autonomy as the causes of damaging agent actions. Its advice includes giving the agent only the tools it needs and having a person approve high-impact actions (OWASP).

Open standards such as the Model Context Protocol exist for connecting AI applications to outside systems. We cover that side in our MCP server development service. Any provider below should be able to explain how it handles these two steps.

Team-extension software houses

What they are. These firms sell engineers or whole teams by the month and also take on projects. Team extension means their people join your team and work under your direction. Our guide to staff augmentation explains the model. Agent work is one thing such a team can build.

Who they suit. A business with a product owner or technology lead to direct the work, a roadmap longer than one agent, or a need to add capacity quickly.

Who they suit less. A business with no one to direct engineers and a single defined job. Both firms below also list project work, so the question for that buyer is whether the project route is open at your size.

N-iX

• Based in: a London office on Bevis Marks, according to its homepage. The same page describes engineers working across ten countries.
• What it offers: custom AI agents for workflow automation and for coordinating several agents, delivered by one team throughout.
• Says it serves: enterprise clients, including Fortune 500 companies, by its own description.
• How it works and charges: its remote-team page lists team extension, a managed dedicated team, full-cycle custom software development and tech consulting. Its homepage form also offers a fixed-scope pilot. Prices not published.
• Example work: a telecom case where two fine-tuned language models summarise and classify customer-support chats. This is language-model work, and its page does not call it an agent.

STX Next

• Based in: headquarters in Poznań, as its About page lists, with a London office on York Road and others in Gliwice, Houston, Merida and Eschborn.
• What it offers: AI agent development, which its AI agents page describes as agents that carry out whole business workflows on their own. It also offers an AI agents readiness assessment.
• Says it serves: companies of all sizes and sectors, according to its AdTech page. Its AI page names the industrial and financial sectors.
• How it works and charges: its services page lists team extension, end-to-end development and consulting. For AI agents, its AI page describes a four-week fixed-price MVP, then time-and-materials work for more capability. Prices not published.
• Example work: a custom knowledge-retrieval platform for Linde, hosted on Azure, that processes PDFs, scans and tables.

Single-platform partners

What they are. Partners of a software vendor who build agents inside that vendor’s platform. Salesforce presents Agentforce as its AI agent platform. Microsoft describes Copilot Studio as a low-code studio for building and managing agents and workflows.

Who they suit. A business that already runs that platform, or is about to buy it, and wants agents that sit where its data and users already are.

Who they suit less. A business that does not run the platform and has no plan to, because the agent runs inside the platform and so needs it. Ask which licences or usage charges the agent needs on top of the build price.

fluent:cx

• Based in: London (Moorgate), according to its Locations page. Its About page says the UK business launched in 2023 and belongs to the Salesfive group.
• What it offers: Agentforce services, from an official Salesforce Partner by its own description. They cover service design, AI consulting and implementation, enablement and training, with a proof of concept and pre-built accelerators for service, sales and employee agents.
• Says it serves: companies of all sizes and sectors, according to its About page.
• How it works and charges: discovery, proof of concept, implementation and ongoing support. Prices not published.
• Example work: Agentforce for Simplyhealth, a UK health and dental plan provider, shown on its Agentforce page.

Yes Dynamic

• Based in: headquartered in Dublin, with a London office at Tower 42, according to its site.
• What it offers: Copilot Studio delivery from discovery through design, build, governance and optimisation. It calls itself a Microsoft Solutions Partner specialising in Copilot Studio and the Power Platform. Its home page adds that it is a certified Microsoft Solutions Partner for Business Applications.
• Says it serves: growing organisations across the UK and Ireland.
• How it works and charges: its site names a free 30-minute assessment as the way in. Prices not published.
• Example work: a Copilot Studio agent supporting customer-service staff at a global mobility and vehicle-rental business.

Sector specialists

What they are. AI firms whose own site says they serve one sector. The appeal is familiarity with that sector’s systems, rules and vocabulary.

Who they suit. A firm inside that sector, especially where regulation shapes what an agent may do.

Who they suit less. A business outside the sector, because the firm’s stated focus lies elsewhere. Check that your sector matches before you spend time on a call.

Neurons Lab

• Based in: London, with a UK company registration shown on its site, and a second office in Singapore.
• What it offers: custom AI agents from discovery through production, to automate core workflows.
• Says it serves: financial services organisations. It describes itself as an AI engineering partner focused on that sector and names wealth management, retail and corporate banking, private banking, SME banking and insurance. It says it has worked with Fortune 500 firms.
• How it works and charges: prices not published on the pages we read.
• Example work: a language-model content system for Visa’s marketing teams, which its homepage lists under custom agents for marketing teams.

Studios for small and mid-sized businesses

What they are. Small firms that build custom agents and automation for small and mid-sized businesses, usually as fixed-scope projects.

Who they suit. A business that wants one named job automated, a price agreed before work starts and a small team to work with directly.

Who they suit less. A business that needs an agent inside one vendor’s platform, engineers embedded for the long term, or a specialist in its own sector.

Other small studios also build agents for SMEs. We describe only ourselves in this group because we can vouch for our own facts.

CodeLeap

• Based in: London. We were founded in 2019 and have delivered 50+ projects since. Our team is remote and global, around 28 people, led from London.
• What it offers: AI agents, each scoped to one named job and working inside your existing tools. It has clear limits on what it decides alone and human sign-off where it matters. We also run an AI readiness assessment.
• Says it serves: small and mid-sized UK businesses.
• How it works and charges: scope and price are fixed and agreed before work starts, and you pay by milestone. All code and IP are yours once the work is delivered and paid for. A first agent (one job, scoped) is from £5,000 and an agent rollout (several workflows) is from £12,000. You can cancel a build within the first 21 days for a full refund. The AI readiness assessment is £3,000 as a one-week programme, and support is from £400 a month.
• Example work: SBU, a UK energy broker. We built an automation layer across Salesforce, an LLM and its email. An 85% confidence threshold decides what runs automatically and what waits for a person. Within three months the team was generating five times the qualified leads, without adding headcount.

How do you compare AI agent development companies?

Ask every firm the same six questions, whatever type it is, and get the answers in writing.

1. Which systems can the agent reach, and how? Ask for the list of systems, the rights on each (read only, or read and write) and who can change them.
2. Where does a person approve? Ask which actions need sign-off, such as sending a message, paying an invoice or deleting a record. Ask what the agent does when it is unsure.
3. How is it tested and monitored? Ask for tests built from your own cases, a log of what the agent did, and who is alerted when it fails. Ask who fixes it when a connected system or a model changes.
4. Where is data processed and hosted? Ask which model provider sees your data and in which country. The ICO sets out the rules for sending personal data outside the UK (ICO). This is not legal advice. The NCSC’s guidelines for secure AI system development cover any organisation that provides an AI system, including one built on other companies’ models. They make a useful list to put to a provider.
5. Who owns the code and prompts? Ask for ownership of the code, prompts and configuration on payment. On a platform build, ask what lives in the vendor’s product and what you could move.
6. How is it priced? A team by the month means you pay for time and scope can move. A fixed project means scope and price are agreed first. Ask what is included, how payments are staged and what a change costs.

On the last point, only CodeLeap among these six publishes prices for agent work on the pages we checked. The other five ask you to contact them, so compare quotes on the same scope.

How do you shortlist an AI agent developer?

Work through five steps:

1. Choose the type. Use your size, the platform you already run and your sector. The sections above say who each type suits.
2. Write a one-page brief. Cover the job, the systems it touches and who uses the result. Say what a good outcome looks like in hours or pounds, and note any limits on where your data can go.
3. Send it to two or three firms of that type. The same brief, to each. Our guide to choosing an AI automation agency lists the questions to ask on the call.
4. Compare like with like. Put a pilot against a pilot and a build against a build, with the price basis stated.
5. Ask for a reference or a live example. Many case studies are anonymised, so ask early for a client with a job like yours.

Which type fits you, and what next?

If you already run Salesforce or Microsoft 365 and want the agent there, start with a platform partner. If you have engineering leadership and a long roadmap, start with a team-extension house. If you work in financial services and want sector depth, look at a specialist. If you run a small or mid-sized business with one named job, a studio is the natural place to start.

If you are in that last group, we would like to be one of your two or three. As an AI agent development company, we start a first agent from £5,000. If you are not sure which job to give an agent, the AI readiness assessment is £3,000 for one week. Whoever you pick, send each firm the same one-page brief and compare what comes back.