A chatbot answers questions. An agent gets things done: it reads the goal, plans a route, calls the tools it has been permitted to use and reports back when the work is complete. We engineer agents for sales, service, operations, finance and sector-specific roles, connected to the software your people already rely on and bounded by clear rules about what they may and may not do.
Each agent follows your procedures, your systems and your decision rules - we never drop in a generic template.
Sign-off steps, full activity logs and hard limits mean no important action happens without your say.
We connect agents to CRMs, ERPs, helpdesks, databases, email, Slack, Google Workspace, Microsoft 365 and your own APIs.
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Agents split big goals into smaller steps, choose the right tool for each and change course when conditions shift.
Talk It Through
Agents remember the history and context that matter, so every interaction picks up where the last one ended.
Talk It Through
An agent that resolves routine customer requests on every channel, looks up orders and accounts in live systems, and hands tricky cases to the right person with the full story already attached.
An agent that replies to new enquiries within moments, checks them against your qualification criteria, keeps the CRM tidy and books meetings straight into your sales team's calendars.
An agent that reads incoming documents, matches transactions across records and assembles recurring reports - cutting manual keying and the errors that come with it.
We list the tasks, decisions and systems the agent will touch, and agree how its performance will be judged.
We design how the agent reasons, which tools it can use, what it is permitted to do and where a person must approve.
We build the agent and connect it to your applications and records through secure, permissioned integrations.
We launch, watch the numbers and keep improving the agent based on how it is actually used.
Engineering Practices
Sectors We Serve
Built From Scratch, For You
Agents That Act
Prove the idea on your own data before you commit to a full build.
Opportunity-mapping workshop
Working prototype on a data sample
Frank feasibility and payback review
Plan for going live
A hardened, production-grade system connected to your software.
Design and build from start to finish
Connectors to your apps and records
Evaluation suites and safety limits
Launch, documentation and handover
Ongoing tuning, monitoring and engineering support as usage grows.
Monitoring and accuracy tuning
Model and prompt refreshes
New capabilities and use cases
Fast-lane engineering support
Case studies that show our methods applied to real problems.
Aspect-by-aspect sentiment and emotion from customer feedback, delivered as dashboards.
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Webcam proctoring that flags suspicious behaviour live and reports with evidence.
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Risk-scores every transaction and raises live alerts on likely fraud.
Read case study →Field notes from our engineers on shipping AI that holds up.