Banking IT Service Manager

AI-assisted ticket classification

High ticket volumes under strict audit, security and access controls.

Symptom
Ticket volumes were rising and manual triage was eating fulfiller time.
Method
Redesigned the intake, automated the repetitive steps, then added AI-assisted routing and classification — governed end to end.
Outcome
Less manual effort, more consistent routing, and faster handling.

Typical targetCut the manual triage load and speed up first response.

Insurance Process Owner

Streamlined request management

Legacy request processes that quietly drifted as the business changed.

Symptom
A request process had drifted over the years and handoffs had become slow.
Method
Mapped the flow, standardized it, and automated the repetitive steps and approvals.
Outcome
Fewer handoffs, and SLA targets that are realistic to hit again.

Typical targetFewer handoffs and SLA targets the team can actually meet.

Manufacturing HR & IT operations

Automated employee onboarding

Onboarding across sites, shifts, and systems that don’t talk to each other.

Symptom
Onboarding new starters meant chasing access and equipment by email.
Method
Automated the onboarding workflow end to end on ServiceNow, with the right approvals built in.
Outcome
New starters get the access and equipment they need without manual chasing.

Typical targetNew starters productive from day one, without manual chasing.

Client names and exact figures are kept private — the targets above are what this kind of work aims at. Book a call and I'll walk you through the real numbers.

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