AI agent development
We build AI agents that can read information, decide what to do next and carry out multi-step tasks in your systems, with a person approving anything important. It suits teams with repetitive work that follows a pattern but needs some judgement.
AI agent development
In short
- Good for
- Teams with multi-step work that follows a pattern
- You get
- An agent built around one clearly defined job. Connections to your databases, tools and APIs. Approval steps before emails, payments or changes go out. A log of every action, so you can see what it did and why. Limits on what it can touch.
- You own the code
- You own the full code, designs and documents once the project is paid for.
What we can build for you
Real jobs ai agent development is used for. Yours does not have to match one exactly.
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Preparing weekly reports from several systems
Pulls the numbers, writes the summary, sends it for a person to check.
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Reading incoming requests and routing them
Sorts what arrived, drafts a reply and passes it to the right person.
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Reconciling invoices against orders
Matches what was billed to what was ordered and flags the exceptions.
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Researching prospects and filling in the CRM
Finds the company details and puts them where the sales team looks.
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Monitoring data and raising alerts
Watches for the conditions you define and tells someone when they happen.
A good fit, and when it is not
Honest advice first. If something simpler will do the job, we say so.
A good fit if…
- A task takes hours, follows a pattern and touches more than one system.
- You want people reviewing, not re-typing.
- You can describe what a good result looks like.
Probably not a fit if…
- The process changes every week and nobody can describe it yet.
- Errors would be costly and cannot be checked by a person first.
How much does it cost?
It depends on what you need. After a short call we send a quote that shows the price of each part, so you can drop anything you don't need.
Get a free quoteHow long does it take?
We agree the timeline in writing before we start. You see and approve something at every step.
From first call to live software in 4 simple steps
You see and approve something at every step.
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01
We understand your business
We learn how you work today and write down exactly what will be built and what it will cost.
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02
You see the design first
You click through a sample of your app on phone and computer before any code is written.
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03
We build and show progress
You see working parts of your software at regular check-ins.
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04
We launch and hand over
We put it live, set up tracking, and show your team how to use it.
Questions people ask about ai agent development
Straight answers, no sales talk.
What is the difference between a chatbot and an AI agent?
A chatbot answers questions. An agent takes actions: it can look things up, use tools and complete a task across several steps.
Can we require human approval?
Yes. Approval checkpoints are built in wherever an action matters, such as sending an email or making a payment.
How do you stop an agent making mistakes?
Clear limits on what it can access, tests with real cases before launch, a log of every action, and a person in the loop for anything important.
Which tools do you build with?
OpenAI, Anthropic Claude and Meta Llama models with agent frameworks such as CrewAI and LangChain, connected to your own systems.
For technical teams: tools we use
- CrewAI
- LangChain
- Python
- OpenAI Function Calling
- AI models we connect to your own business data
- Node.js
- Runs fast back-end services and APIs
- Redis
Get a free quote for ai agent development
A few lines is enough. A senior engineer replies within one working day with a quote that shows the price of each part.