Custom AI agents for UK businesses
Custom AI agents that run real operations
Answer enquiries. Prepare quotes. Process documents. Book appointments. Update your systems.
We start with one painful workflow, connect the tools and data it needs, add approvals where risk matters, and put a working agent in front of real users in 4–6 weeks.
London-based · Bilingual EN/ES · Fixed scope · You own the code
Operational, not performative
Not another chatbot demo
A chatbot answers a question. An operational agent can complete a defined job.
That might mean checking a customer's request, finding the right information, preparing a quote, booking a slot, updating your CRM, and handing the conversation to a person when a decision needs judgement.
UK Government guidance highlights risks around premature deployment, transparency, consistency, and full autonomy. We do not begin with “make it autonomous.” We begin with the workflow, its boundaries, and the decisions that should stay human.
Chatbot
Responds inside a conversation.
Automation
Moves data through predetermined rules.
Copilot
Helps a person while they remain in control.
Operational agent
Works towards a bounded outcome across approved tools and escalates beyond its authority.
Pick the right first job
What should your first agent do?
The best first workflow is the one your team repeats often, understands well, and can measure safely. We score candidates on volume, pain, data readiness, and action risk.
Triage customer enquiries and draft replies
Prepare quotes from approved price and product data
Book appointments, inspections, or service slots
Extract information from documents and route exceptions
Update CRM records after calls, emails, or forms
Answer internal questions from approved company knowledge
Chase missing information before a human needs to intervene
A weak starting point is “build us an AI employee.” It has no clear boundary, reliable success measure, or safe escalation path.
The Agent Sprint
One agent. One real workflow. Working software every week.
01
Scope the workflow
We map the trigger, inputs, decisions, systems, failure cases, and human hand-offs. The outcome fits on one page before development starts.
02
Connect the real tools
We work with the systems your team already uses: CRM, email, WhatsApp, spreadsheets, calendars, databases, internal APIs, and line-of-business software.
03
Build the safe path first
The agent gets only the permissions it needs. Sensitive or irreversible steps can require approval. Every important action has an observable result, error state, and fallback.
04
Put it in front of real work
You receive a clickable preview every week. We test normal cases, edge cases, missing information, and tool failures before expanding responsibility.
05
Ship and decide what comes next
After 4–6 weeks, you have a working agent on the agreed workflow. We can iterate, add another workflow, or hand over the code and runbooks to your team.
Guardrails by design
Built for control, not blind autonomy
Operational agents can touch customer conversations, business systems, and personal data. The controls are part of the product, not documentation added afterwards.
The ICO publishes guidance covering accountability, transparency, lawfulness, accuracy, fairness, security, data minimisation, and individual rights in AI systems. Exact obligations depend on the workflow and organisation; Andesphere does not replace legal or data-protection advice.
- What information can the agent read?
- Which tools can it use?
- Which actions can it take without approval?
- What must always escalate to a person?
- What gets logged?
- What happens when a tool, model, or data source fails?
- How can the team pause or roll back the workflow?
Why Andesphere
A product team that runs its own agents
We run our own AI product
Andy is Andesphere's AI assistant for small businesses. It runs on the same agent architecture we use when solving customer workflows.
We build around operations
We focus on enquiries, quotes, bookings, documents, support, and back-office work—not generic AI content generation.
You own the code
The software, integrations, and runbooks are built for your organisation—not rented as a fragile demo only we can operate.
Weekly proof
The sprint has a fixed workflow and visible weekly progress, so you can challenge the behaviour while it is being built.
UK-based, bilingual delivery
Andesphere is based in London and works in English and Spanish across UK and international operations.
Buyer checklist
How to choose an AI agent development company in the UK
A credible proposal should answer these questions before promising broad autonomy or savings.
- 01 What exact workflow will the first release complete?
- 02 How will it connect to our existing systems?
- 03 Where are the approval and escalation boundaries?
- 04 How will actions, errors, latency, and cost be observed?
- 05 What happens when the model or an external tool fails?
- 06 Who owns the code, prompts, integrations, and deployment?
- 07 What evidence will prove the workflow is useful?
- 08 Can our team pause, change, or take over the system?
Frequently asked questions
What is a custom AI agent?
A custom AI agent is software built around a defined business outcome. It can interpret an input, use approved tools and data, complete bounded actions, and escalate when it reaches a decision or exception that should remain human.
How is an AI agent different from a chatbot?
A chatbot primarily handles a conversation. An operational agent can work across systems—for example, reading an enquiry, checking approved data, preparing a quote, updating a CRM, and asking a person to approve the final action.
How long does an AI agent take to build?
Our Agent Sprint targets one working workflow in 4–6 weeks. The actual scope depends on the number of systems, data quality, approval requirements, and risk of the actions involved.
Can an agent work with our existing software?
Usually, yes, when the system provides an API, database connection, export, webhook, or another controlled integration path. We confirm the real access path during workflow scoping rather than promising compatibility in advance.
Can we keep a human in control?
Yes. Approval gates, permission scopes, escalation rules, logs, pause controls, and fallbacks are part of the agent design. The right level of autonomy depends on the workflow.
Who owns the finished system?
The client owns the custom code produced for the project. The exact ownership, third-party services, hosting, support, and handover terms are documented in the proposal.
Do you work outside London?
Yes. Andesphere is based in London and works remotely with organisations across the United Kingdom. Our local pages cover city intent; this page is the UK-wide service hub.
Explore related work
Start with one workflow
Bring us the work that creates delay, repetition, or dropped opportunities
We will help define its boundaries, identify the safest useful first release, and tell you honestly if an agent is not the right solution.
Fixed scope. Working software every week. Code you can own.