AI agents
AI Agent and Chatbot Development
AI agents and chatbots grounded in your data, limited to the actions you approve.
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Tell us what you need. A consultant replies within one working day.
01
AI agents that finish tasks, not just chat
An AI agent is software that reads, decides and acts: it takes a request, looks up what it needs in your documents or systems, does the work, and hands off to a person when it should. Built well, it takes routine volume off your team. Built badly, it confidently gets things wrong.
We are an AI agent development company that builds for real operations: agents grounded in your own data, limited to the actions you approve, tested against real examples before launch, and logged so you can see every decision they made.
For US companies that want a team to build, connect and run agents, receptionists and document pipelines, see our AI implementation consultants.
02
AI agents and chatbots we build
Document processing agents
Invoices, forms, contracts and records read, checked and entered into your systems, with exceptions routed to a person.
- Extraction with validation rules
- Low-confidence cases held for review
- Straight into your ERP or database
Customer support chatbots
Chatbots that answer from your own help content and policies, and hand over to a person with the context attached.
- Answers grounded in your content
- Escalation rules you control
- Website, WhatsApp or email
Internal knowledge assistants
An assistant that answers staff questions from your SOPs, contracts and files, with the source quoted.
- Retrieval from your own documents
- Access that respects permissions
- Citations for every answer
Operations agents
Agents that chase, reconcile and update: following up on orders, matching payments, updating records across systems.
- Actions limited to an approved set
- Runs on a schedule or on events
- Every step logged
Sales and research agents
Lead research, enrichment and first-draft outreach prepared for a person to review and send.
- Research from approved sources
- Drafts, not autonomous sending
- CRM updated automatically
Guardrails built in
Every agent has limits: what it may read, what it may do alone, and when it must ask.
- Human approval for risky actions
- Cost and rate limits
- Monitoring after launch
03
How we build an AI agent
Define the job
One task, its inputs, what good output looks like, and what the agent must never do.
Ground it in your data
Connect the documents and systems it needs, with the same permissions your staff have.
Test on real examples
Measured against past cases before launch, so accuracy is known, not assumed.
Launch with a person in the loop
Review on by default, relaxed only where the numbers justify it.
04
Chatbot, AI agent or workflow automation?
Three different tools that are often confused. Many projects combine them.
| Chatbot | AI agent | Workflow automation | |
|---|---|---|---|
| What it does | Answers questions | Understands a request, decides the steps and takes actions | Runs fixed steps when a trigger fires |
| Handles variation | In conversation only | Yes, within approved limits | No, follows set rules |
| Takes actions in systems | Rarely | Yes, approved actions only | Yes |
| Best for | Support and FAQs from your content | Document processing, triage, research, operations tasks | Predictable, high-volume processes |
05
AI agent development questions
What is the difference between a chatbot and an AI agent?
Which models and platforms do you build on?
How do you stop an agent from making things up?
What does an AI agent cost to run?
Describe the task you want an agent to take over
Tell us what the task is and how often it happens. We will come back with whether an agent fits, how it would work, and what it would take.
A reply from a consultant, usually within one working day.
Part of our AI Automation hub. Start with our AI automation agency.
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