Time saved · Quality · Exceptions
AI process automation
We automate your 1–3 most expensive routines so you see time savings in weeks, not quarters.
Typical use-cases
Emails and tickets · Order processing · Document triage · Summaries · Draft responses
Quick answer: automate 1–3 expensive routines with exceptions and approvals.
Measured by: time saved, error rate, SLA/throughput, adoption.
How we deliver
Process mapping
Find bottlenecks, exceptions, and measurement points.
Workflow + controls
AI steps + human approval where it matters.
Monitoring
Quality, error rates, time saved, auditability.
FAQ
What if the AI makes mistakes?
We design exceptions and approvals; critical steps require human confirmation.
Do we need “big data”?
Not always. Many automations work with rules + a small evaluation dataset.
Proof from delivery
Case study: MyZenCheck
Azure delivery with measured operational “Proof KPI”.
Case study: Credizen
AI matching + real-time integrations and platform operations metrics.
For numbers and measurement context, open the case study details.