AI Transformation

Start with how the business runs

We map the operating model, find where AI changes the economics or quality of the work, and carry the highest-value opportunities through implementation and adoption. That includes front-line operations as well as head office.

>10%

Reduction in labour hours per attendance within four months at a national childcare network.

Consistent rostering rules, an automated master roster that adjusts to attendance, and recruitment tied to real gaps.

What we cover

Across the whole operating model

From first assessment through to a rollout the team can run on its own.

Business-wide AI opportunity assessment

Workflow redesign and agent/automation design

Build-vs-buy and vendor selection

Knowledge and retrieval systems

Customer service and communications

Workforce, scheduling and administration

Finance, reporting and control workflows

Sales, CRM and revenue operations

Compliance, policy and quality-assurance workflows

Pilot design, measurement and rollout

One method, everywhere it runs

One method, across a whole multi-site business

Illustrative view of a multi-site childcare operator. The same method applies to clinics, education, field-service and hospitality networks.

For PE sponsors

Portfolio-wide, company by company

One repeatable framework applied across portfolio businesses; results tracked in operating metrics such as occupancy, labour hours, cycle time and incident rates.

1

Scan

2

Prioritise

3

Pilot

4

Implement

Who it's for

Built for operators, run by practitioners

Buyers

CEOs COOs Transformation leads PE operating partners

Sectors

Multi-site services Healthcare and diagnostics Education and childcare Financial services operations

How Sentia works

Diagnose, redesign, build, train, measure

1

Diagnose

Map how the work runs today: volumes, handoffs, controls, and where time and quality leak.

2

Redesign

Decide what AI should do, what people should do, and where review sits.

3

Build / configure

Implement the solution: agents, automations, retrieval, integrations with the systems you already run.

4

Train

Role-specific training so the team keeps running it well and safely after we leave.

5

Measure

Baseline before, measure after: hours, cycle time, accuracy, adoption.

Bring us one workflow or one business unit.

We'll tell you where AI is worth applying, what it would take, and what we would do first.