Systems that finish the task.
Eight building blocks, combined to fit the process you run. Each ships with guardrails, logging and a route to a human.
Show me what to automateAI agents that do the work
Agents that read a request, look it up in your systems and finish the task, then escalate the cases they should not decide alone.
- Customer, sales and internal support agents
- Tool use against your CRM, ERP and databases
- Explicit escalation rules and human approval gates
- Full transcript and decision logging
Document and email intelligence
Invoices, contracts, forms, drawings, claims and the PDF attachments filling your shared inbox, turned into structured data your systems can read.
- Extraction into your schema with validation rules
- Classification, routing and duplicate detection
- Confidence thresholds with a human review queue
- Works with email, scans, portals and legacy formats
Voice and messaging automation
Answer every call and message, at any hour, in the channels your customers already use, with a clean handover to a person when it matters.
- Inbound voice agents that book, reschedule and qualify
- WhatsApp, SMS, web chat and social inboxes in one place
- Instant lead response measured in seconds
- Live transfer with the full context attached
Knowledge assistants over your own data
Ask your policies, contracts, manuals and past work a question. Answers come back with citations, inside the permissions each person already has.
- Retrieval grounded strictly in your documents
- Citations on every answer
- Permission-aware so people see only what they should
- Slack, Teams, web or in-product delivery
Workflow orchestration
The multi-step processes that cross five systems and run today on someone remembering to start them.
- Event-driven pipelines with retries and alerting
- Approvals, thresholds and audit trails
- Integration with the tools you already pay for
- Monitoring so a silent failure is impossible
Reporting that writes itself
Reports pulled, analysed and written up on a schedule, so the numbers arrive with the explanation attached.
- Automated data pulls across platforms
- Anomaly detection with plain-English alerts
- Client-ready and board-ready formats
- Commentary drafted, human approved
Automation audit and roadmap
Two weeks inside your operation tracing where the hours go, ending in a costed roadmap you can run with us or without us.
- Process mapping and time-cost quantification
- Feasibility, risk and data-readiness assessment
- Ranked backlog by payback period
- Credited against your build if you go ahead
Custom AI product engineering
AI features inside your own software, built to production standards by people who have shipped them before.
- In-product assistants and copilots
- Model selection, evaluation and cost control
- Guardrails, evals and regression testing
- Handover and documentation, or ongoing ownership
See these building blocks in your industry.
112 worked examples across 14 sectors, each naming the manual process it replaces.