AI automation, built like a workflow.
AI is good at understanding messy, human input. Workflows are good at following rules reliably. People are good at judgement. We design systems that use each for what it does best.
How responsibility is split
AI interprets
Reads messages, emails and documents, works out what’s being asked and pulls out the details.
- Understanding intent
- Extracting information
- Summarising and drafting
Workflow controls
Applies the rules your business agrees: what’s in scope, what’s missing and what happens next.
- Business rules and policies
- Checks such as service area and availability
- Routing and system updates
People decide
Anything sensitive, unusual or high-stakes goes to a person, with the context they need.
- Approvals
- Exceptions and complaints
- Safety issues
What we build with
We choose tools to fit your systems, not the other way round. Typical building blocks include:
- Workflow orchestration, for example n8n or Make
- Language models from providers such as OpenAI or Anthropic, called from a secure server
- SMS and voice, for example Twilio
- Your CRM, for example HubSpot
- Calendars and booking tools
- Microsoft 365 or Google Workspace
- Spreadsheets and databases
- APIs and webhooks for everything else
Built safely by default
- API keys and credentials stay on secure servers, never in a website or browser
- Each workflow gets only the access it needs
- Every automated action is logged
- Sensitive or irreversible steps need human approval
- Only the data a workflow needs, kept no longer than necessary
- Tested against edge cases and failures before launch
Start with one workflow.
Tell us where work gets stuck. We'll come back with a practical recommendation for a small first step.