AI Agents
An AI agent is software that can read context, decide what to do next and take a defined set of actions. We build agents with narrow, explicit permissions — and a human in the loop wherever a decision carries real consequence.
The situations this addresses
- Knowledge locked in documents nobody has time to read
- Research and summarising that eats senior hours
- Work that needs judgement applied consistently, not just steps repeated
- Analysis requested faster than a team can produce it
- No safe way to let software act without losing oversight
Specific capabilities
A scope is assembled from these based on what your situation actually needs — not all of it, and rarely in this order.
Knowledge and research
- Internal knowledge assistants
- Market and competitor research agents
- Document and contract review agents
- Report generation agents
- Data analysis agents
Commercial
- Lead qualification agents
- Proposal drafting agents
- Customer success agents
- Email and meeting assistants
- E-commerce support agents
Control and safety
- Human-in-the-loop approval steps
- Least-privilege tool permissions
- Action logging and audit trails
- Prompt-injection resistant tool design
- Ongoing monitoring and optimisation
How this shows up day to day
Described as capabilities of the systems we build. These are not case studies, and no client results are implied.
An assistant that knows your business
Staff ask a question in plain language and get an answer grounded in your own documented policies, pricing and procedures — with the source shown.
Research briefs on demand
A structured brief on a prospect, competitor or market, assembled from named sources, in the format your team already uses.
Drafts, not decisions
The agent prepares the proposal, the reply or the summary and routes it for a human to approve. Nothing consequential is sent unreviewed.
What tends to go alongside this
AI Automation
We map the tasks your team repeats every week, then build systems that carry them out consistently. The work still follows your rules — it just stops needing a person to move it along.
Helps with: too much repetitive administration absorbing skilled timeChatbot AI
Chat assistants for your website, your support desk or your internal tools. They answer from your documented knowledge rather than guessing, and hand over to a person when they should.
Helps with: the same questions answered manually, all dayMCP and Integrations
Most AI projects fail on plumbing, not intelligence. We connect your CRM, calendar, database, storage and finance tools so information moves between them — including through MCP, an open standard for giving AI tools controlled access to real systems.
Helps with: business data scattered across tools that do not talk
Let’s talk about ai agents.
Describe the process you have in mind. We will tell you plainly whether this is the right fit, what it would involve, and what it would not solve.