Read and classify
Collect a defined input, extract the relevant context and route it using rules agreed with your team.
London priority · remote UK delivery
AI agent development for work that must get done.
We design and configure AI agents that complete defined tasks across approved business tools, with permissions, human approvals, testing and an operational handover.
- One bounded job first
- Human approval where needed
- Client-owned documentation
CONTROL PLANE / UK REVIEWABLE
01REQUEST
02CONTEXT
AGENTDECIDEwithin scope
03TOOLS
04APPROVAL
05EVIDENCE
Direct answer
What an AI agent actually does
An AI agent receives a goal, reads the relevant context, chooses from permitted tools and works through multiple steps. It can pause for approval, respond to an exception and return a record of the outcome.
The useful question is not “how autonomous can it be?” It is “which job can it complete reliably, with the right boundary and owner?”
Choose the next permitted step
Use your operating instructions, thresholds and escalation rules to select a safe next action.
Work across approved tools
Draft, update or trigger a workflow only through the systems and permissions included in the scope.
Return evidence
Record what happened, surface exceptions and leave a reviewable trail for the human owner.
Choose the right mechanism, then connect them.
Agent, chatbot or workflow?
SystemBest atControl model
AI agentInterpreting variable inputs and selecting permitted actionsTools, permissions, approvals and evaluations
ChatbotConversation, guidance and information retrievalSource boundaries, response rules and escalation
WorkflowRepeatable steps with known conditions and outputsDeterministic logic, validation and error branches
Reliable systems often use an agent for interpretation and deterministic automation for the fixed steps.
Start where ownership and evidence are visible.
Four practical places to begin
Lead and enquiry operations
Classify enquiries, prepare CRM-ready summaries, draft follow-ups and escalate high-value or ambiguous cases for review.
BoundaryNo message or record change without an agreed permission path.
Document operations
Extract structured information, compare it with an internal checklist and prepare a draft or exception report for an owner.
BoundarySensitive data, retention and processors are assessed before connection.
Website and engineering work
Prepare changes, run checks, document failures and hand the result to a reviewer before any production action.
BoundaryDeployment authority remains explicit and environment-specific.
Internal knowledge workflows
Find approved source material, answer with traceable references and flag where the available evidence is incomplete.
BoundaryThe agent must distinguish source evidence from inference.
Build path
From useful job to controlled operation.
A fixed quote follows discovery. Scope, authority and acceptance criteria are written down before build work begins.
View UK pricing approach- 01
Scope before action
We start with one bounded job, a clear input and a named owner. No action beyond agreed permissions is available to the agent.
- 02
Map systems and authority
We document the tools involved, data sensitivity, allowed actions, approval points and the conditions that must stop the agent.
- 03
Evidence before rollout
The workflow is tested against representative cases, including failure and escalation paths. Acceptance criteria before production are explicit.
- 04
Handover after launch
Your team receives the instructions, permissions map, review process and documentation needed to understand and evolve the agent.
The agent does not own the risk. A person does.
Every operational agent needs a named owner, a permission model and a route for uncertainty. We design those controls as part of the system, not as a disclaimer added afterwards.
- Authority
- Which actions can run, which need approval and which are prohibited.
- Evidence
- What the agent must record so an owner can review the outcome.
- Escalation
- When uncertainty, risk or missing context must stop the workflow.
- Ownership
- Who reviews performance and approves changes to the operating rules.
Questions before a pilot
AI agent development FAQ
What is an AI agent for business?
An AI agent is a system that can interpret a defined request, choose permitted tools and complete a sequence of actions. Unlike a chatbot, it does not only produce an answer: it can work through an approved process, pause for human review and return evidence of what it did.
What is the difference between an AI agent, a chatbot and automation?
A chatbot is primarily conversational. Traditional automation follows predefined rules. An AI agent can interpret variable inputs and select among permitted actions, while deterministic automation remains useful for the fixed parts of the workflow. Many reliable systems combine all three.
Which AI agent platforms do you work with?
The choice depends on the job, systems, security requirements and available interfaces. We can assess agent-capable tools and model providers such as Claude, OpenAI, Gemini and compatible orchestration layers, then document why a particular route fits the scope.
Can an AI agent access our CRM, inbox or internal tools?
Only where a suitable integration exists and the access is explicitly approved. We define the minimum permissions, decide which actions require human confirmation and test the connection before operational use.
How do you keep an AI agent under control?
The control model combines written operating instructions, least-privilege access, tool restrictions, approval gates, test cases, logs and a named human owner. The exact controls depend on the risk of the task.
How much does AI agent development cost?
Timing depends on the number of systems, data sensitivity, actions, approval paths and evaluation work. We define the smallest useful pilot first and provide a written fixed quote before build work begins.
Do you provide AI agent development in London?
Yes. We work with London and UK teams remotely during UK working hours. We do not claim a London office; workshops, build reviews, training and handover are delivered remotely unless a separate arrangement is agreed.
London priority · UK working-hour overlap · remote delivery
Bring us one job your team should not repeat.
We will map the task, systems, decisions and risks, then tell you whether an agent, a workflow or a simpler change is the right first move.
Discuss the first pilot