Workflow cost leak audit

Find the workflow leaking payroll before it grows.

For established businesses, we identify one repeatable process where AI agents can reduce manual work without disrupting how the company already runs.

Scope
One process
Goal
Time and cost back
Controls
Human approval first
Where money hides
Cost leak Repeat work

Pick a common leak to prefill the form.

What you get

A practical answer, not an AI sales pitch.

01 Best first candidate

The repeat process most likely to recover time quickly.

02 Automation path

Where workflow rules, agents, and human review should sit.

03 Control points

QA, approval, and audit checks before any agent acts.

Illustrative scenarios

What fixing one leak can return.

Directional models based on stated workload assumptions. These are not measured client results or guarantees.

01 Billing operations

A modeled end-to-end billing workflow could recover 35–50 hours of manual work each month under the assumptions shown, with cleaner QA and an audit trail.

02 Corporate AI training

If 15 people each save two hours a week, the modeled capacity is about 120 hours a month. This is a hypothetical scenario, not measured savings.

03 AI product suite

A defined product-scope model estimates 80–120 hours of research and planning effort. Actual effort depends on scope and inputs.

See the full case studies

Start here

Tell me where time is leaking.

A few details are enough. I will reply with the first process I would inspect for savings.

daniel@truenorthagentics.com

Free, and no commitment. I’ll reply with the first process I’d inspect — whether or not we end up working together.

Evidence standard: until a named client approves a public reference, evaluate the sample scope, controls, acceptance tests, and handoff materials instead of anonymous praise.