AI Opportunity Audit

THE PURPOSE

Clarity before engineering

The audit establishes where AI can create meaningful operating value, whether the opportunity is technically feasible, and what controls are required before anyone begins building.

01 / VALUE

Is the problem worth solving?

Measure volume, touch time, delays, rework, backlog, and the operational impact of the current process.

02 / FEASIBILITY

Can the workflow be implemented?

Assess systems, data, access, business rules, exception patterns, and engineering complexity.

03 / CONTROL

Can it operate responsibly?

Define approval thresholds, escalation paths, permissions, evidence, monitoring, and accountable owners.

WHAT HAPPENS

A focused path to a decision

Executive Alignment

Confirm the business objective, target department, constraints, stakeholders, and decision criteria.

Process Interviews

Learn how work moves from the people who perform, review, approve, and depend on it.

Workflow Mapping

Document triggers, inputs, systems, rules, handoffs, exceptions, controls, outputs, and ownership.

Opportunity Scoring

Rank opportunities by value, feasibility, risk, data readiness, and change effort.

Recommendation

Select the first deployment and define its target outcome, boundaries, control model, and next step.

YOUR DELIVERABLES

Everything needed to make a confident decision

DELIVERABLE 01

Current-State Process Map

A clear view of systems, roles, decisions, exceptions, delays, and control points.

DELIVERABLE 02

Opportunity Scorecard

A prioritized comparison of realistic use cases with rationale for the recommended starting point.

DELIVERABLE 03

Future-State Concept

A proposed workflow showing what AI performs, what remains human, and where evidence is preserved.

DELIVERABLE 04

Implementation Brief

Scope, dependencies, risks, success measures, stakeholders, and the path to detailed architecture.

Find the workflow worth automating first