AI agents & autonomous workflows
AI agents that do the work, with people in control.
Agents that complete multi-step tasks across your systems, with permissions, approval points and a full audit trail.
Why teams call us
Problems this solves
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01
Work that hops between systems
Staff copy data between email, CRM, spreadsheets and portals all day.
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02
Rules too complex for simple automation
Tasks need judgement that classic rule-based automation cannot handle.
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03
Fear of AI acting unchecked
Nobody wants an AI changing records or sending messages without oversight.
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04
No record of what the AI did
Without logs, AI actions cannot be reviewed or audited.
Our approach
An AI agent uses a language model to plan steps and call tools, such as searching a CRM, reading a document or drafting an email. We build agents for well-defined jobs, give them only the tools and data they need, and put human approval in front of any action that changes records or reaches a customer.
Every step is logged, so you can see what the agent did and why. Agents are tested against realistic scenarios before launch and monitored afterwards.
What is included
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Task design
The job, its steps and its boundaries defined clearly.
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Tool integration
Agents connected to your CRM, ticketing, email and databases.
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Least-privilege permissions
Each tool scoped to the minimum access needed.
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Human-in-the-loop approvals
Approval steps before changes or outbound messages.
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Audit logging
Every action and decision recorded.
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Scenario testing
Agents tested against realistic and adversarial cases.
What you receive
- Agent design and boundaries
- Integrated working agent
- Approval workflow
- Audit log and dashboard
- Test scenarios and results
- Runbook for your team
Technology we work with
- OpenAI
- Anthropic Claude
- Model Context Protocol
- LangGraph
- Python
- Node.js
- REST APIs
Industries
How an engagement runs
Every engagement starts with a signed agreement and an advance payment as set out in your proposal. Work begins once both are complete.
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01
Define
The task, tools, data and approval points agreed.
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02
Build
Agent, tool integrations and permissions.
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03
Test
Realistic and adversarial scenarios run and measured.
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04
Operate
Monitored rollout and ongoing improvement.
Ready to start? Talk to us directly.
Tell us what you need in a few lines. A specialist replies with next steps and a written proposal before any work begins.
Frequently asked questions
Can't find your answer? Ask us
Can an agent make mistakes?
What is the difference between an agent and automation?
Can agents use our existing systems?
Start with a conversation.
Share a few details. A specialist replies with next steps, usually starting with a short call.