Custom AI agents for UK businesses
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
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.
GOV.UK: AI Insights — Agentic AIResponds inside a conversation.
Moves data through predetermined rules.
Helps a person while they remain in control.
Works towards a bounded outcome across approved tools and escalates beyond its authority.
Pick the right first job
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.
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
01
We map the trigger, inputs, decisions, systems, failure cases, and human hand-offs. The outcome fits on one page before development starts.
02
We work with the systems your team already uses: CRM, email, WhatsApp, spreadsheets, calendars, databases, internal APIs, and line-of-business software.
03
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
You receive a clickable preview every week. We test normal cases, edge cases, missing information, and tool failures before expanding responsibility.
05
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
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.
ICO: Guidance on AI and data protectionWhy Andesphere
Andy is Andesphere's AI assistant for small businesses. It runs on the same agent architecture we use when solving customer workflows.
We focus on enquiries, quotes, bookings, documents, support, and back-office work—not generic AI content generation.
The software, integrations, and runbooks are built for your organisation—not rented as a fragile demo only we can operate.
The sprint has a fixed workflow and visible weekly progress, so you can challenge the behaviour while it is being built.
Andesphere is based in London and works in English and Spanish across UK and international operations.
Buyer checklist
A credible proposal should answer these questions before promising broad autonomy or savings.
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.
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.
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.
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.
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.
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.
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.
Start with one workflow
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.