Finance Workflows
Monthly reporting packs, board materials, variance commentary, and recurring analytical work.
AI Opportunity Scan
Identify where AI-enabled execution creates real operating value in your business.
Most businesses have two or three recurring workflows where AI would create measurable value quickly. The scan is designed to identify those workflows — not to build a technology roadmap or justify a broad transformation program.
2–3 workflows
Typical first-pass opportunity count
60–90 days
Typical time to demonstrated value
One conversation
Where the scan usually starts
Common Areas
Where the first AI opportunities usually sit.
Most useful AI initiatives start in recurring workflows with clear owners, frequent repetition, and visible management pain. These three areas consistently produce the strongest early results.
Operating Reviews
KPI summaries, issue escalation, workflow follow-up, and management meeting preparation.
Commercial Execution
Pipeline review support, account intelligence, pricing analysis, and customer-specific preparation.
What Makes a Good Use Case
Six criteria that predict whether AI implementation will actually land.
The difference between AI that sticks and AI that gets abandoned almost always comes down to these six factors. Use them as a quick filter before any implementation conversation.
Repetitive
The task happens at a regular cadence — weekly, monthly, or quarterly. One-off work is rarely the right starting point for AI implementation.
Judgment-assisted
The task benefits from AI to assist — not replace — human judgment. Summarization, drafting, and triage are strong fits. Final decisions should remain human.
Human-reviewed
The output is reviewed by a specific person before it affects decisions. That review point is essential — it creates the feedback loop that improves quality over time.
Clear ownership
One person is accountable for the output quality. Ownership-free workflows produce ownership-free AI implementations — and those fail.
Reviewable standard
The team can define what a good output looks like — even informally. Without a standard, there is no way to improve the implementation.
Visible management pain
Management has expressed frustration with how long the task takes, how inconsistent it is, or how much time it consumes relative to its value.
How the scan works in practice
One conversation to map the two or three workflows worth building first.
The scan is a diagnostic conversation — not a lengthy assessment or a broad technology audit. It focuses on identifying which specific recurring tasks score highest on the six criteria above.
What the scan covers
- Review of the five most time-consuming recurring tasks in finance and operations
- Quick scoring against the six qualification criteria
- Identification of the two or three workflows with the strongest case for AI
- Initial view on what implementation would need to look like to actually stick
What you get out of it
- A clear, prioritized view of where AI creates value in your business specifically
- No technology vendor agenda — the scan is workflow-first, not tool-first
- A practical starting point for implementation rather than an aspirational roadmap
- Connection to the broader AI advisory capability if the scan surfaces broader needs
Next Step
Most AI opportunity scans start and end in one conversation.
The goal is clarity on the two or three workflows where AI creates reliable, measurable value — not a multi-month assessment or a lengthy technology strategy.