AI that acts — inside the work, not beside it
The next wave of AI doesn't just answer questions. It takes calls, reads documents, raises the right alarm and completes the task — with guardrails and a human in the loop. That's the AI we build.
From copilots that suggest — to agents that close the loop.Operational AI is measured in calls answered, documents processed and failures prevented — not in demos.
The front door that never closes
Natural, multilingual voice agents for inbound support, outbound follow-ups and lead qualification — built on Voxora AI and tuned to your processes.
- Order status, bookings, rescheduling and FAQs
- Reminders, confirmations and collections
- Live CRM, ERP and calendar actions mid-call
- Warm handoff to people with full context

Let software do the paperwork
Document AI and workflow agents that read, check, route and report — so teams handle exceptions, not keystrokes.
- Invoices, delivery notes, POs and compliance forms
- Three-way matching and smart approval routing
- Email and chat triage into tasks
- Daily, weekly and board reports — written for you
See the failure — and the demand — coming
Models trained on your operational data forecast what's next and recommend what to do, with explanations managers can trust.
- Demand and inventory forecasting by SKU and site
- Predictive maintenance for vehicles, equipment and buildings
- Delivery, credit and compliance risk scoring
- Explainable outputs and confidence levels

How we take AI from idea to production
We build AI the way we build our own products: measured, secure and made to last.
Discover
Find the use cases with the clearest payback and the data to support them.
1–2 weeksPrototype
A working proof on your real data and systems — judged on real outcomes.
3–4 weeksProductionise
Integrations, guardrails, evaluation suites, monitoring and security.
6–8 weeksOperate
Continuous tuning, cost control and quarterly performance reviews.
OngoingQuestions about AI with CAN
Do we need perfect data before starting?
No. Discovery includes a data assessment. Voice agents and document automation in particular need very little historical data to start delivering value.
How do you keep AI safe and accurate?
Approved knowledge sources, guardrails, evaluation suites, human-in-the-loop escalation and full logging. Every production system has clear fallbacks.
Will the AI work with our existing systems?
Yes. Integration is central to how we work — ERP, CRM, telephony, telematics, BMS and more, via the CAN Cloud integration hub.
Who owns the models and data?
Your data remains yours. We agree data ownership, residency and usage terms up front in every engagement.
Have an AI idea? Let's prototype it.
Bring one process. We'll show you what an agent could do with it.

