- AI Advisory & Audit
Your first AI bets set the pace.
An independent 4-week audit that maps every workflow against AI value, ranks the top opportunities by quantified ROI, and ships the board-ready business case your leadership team executes on - not iterates on.
Discuss an engagement- The problem with most AI investments
Most AI budgets get committed before anyone has asked the right questions.
Not because executives are careless. Because the questions are hard to ask without an independent practitioner in the room - one with no stake in the answer.
You pick the wrong first project - the one with the most internal hype, not the highest return.
Your board presentation fails because the numbers are vendor-supplied, not independently stress-tested.
The initiative that should have shipped first sits in a backlog while the riskier one gets resourced.
The audit fixes the input - so the outcome is no longer a guess.
- The framework
Four questions.
One defensible answer each.
The audit is structured around four questions every executive team needs answered before committing an AI budget. We build the evidence base for each - independently, without a product to sell you.
Where in your business does AI create genuine, measurable value?
Not where it's theoretically possible - where it moves a P&L line. We map every workflow across sales, operations, finance, and field teams against AI capability, scored by value impact and implementation feasibility. The output is a ranked list, not a brainstorm.
What is the realistic return before you commit a development budget?
A financial model per initiative: hours recaptured annually, cost per process eliminated, revenue uplift potential, capital required, and payback period. Numbers your CFO can pressure-test - not vendor projections engineered to close a deal.
What organizational conditions need to be true for each initiative to succeed?
Data maturity, integration complexity, change management load, governance posture - assessed honestly before a line of code is written. We tell you what needs to be resolved first, not what you want to hear.
Which initiative do you fund first, and why that one specifically?
A defended recommendation for your first 90 days: one quick win that builds organizational momentum and funds the next phase, one strategic play that repositions the business. Sequenced for compounding returns, not executive ambition.
- Audit methodology
The AI Value Creation Audit.
Four weeks. Five phases. One outcome: a board-ready, quantified roadmap of where AI moves your P&L - and which two or three projects to ship first.
Week 1
Discovery & Alignment
Understand business priorities and current operating reality.
- Executive workshop (60–90 min) to align on goals
- Review strategic objectives across growth, cost, efficiency, and risk
- Identify 2–3 pain points with the highest revenue or cost impact
Deliverables
- Business priorities map
- List of critical processes for audit
Week 1–2
Current State & AI Readiness
Baseline today's operations and assess readiness to adopt AI.
- Process-owner interviews across sales, ops, finance, and HR
- Assess tech stack and document key workflows
- Collect metrics: hours, error rates, cycle times, cost
Deliverables
- Process inventory with effort and cost
- AI readiness scorecard
Week 2–3
Opportunity Mapping
Match every workflow against AI capability to surface value drivers.
- Evaluate workflows for automation, augmentation, and analytics
- Classify each opportunity: Automate, Augment, Intelligence
- Score opportunities on Value vs. Feasibility
Deliverables
- AI Opportunity Matrix
- Ranked list of 5–10 opportunities
Week 3
Value Quantification
Build a defensible business case for each top opportunity.
- Calculate hours saved, cost reduction, and revenue uplift
- Estimate investment: licenses, build, integration
- Define payback timelines - quick wins vs. strategic plays
Deliverables
- Business case per opportunity
- ROI estimates with payback period
Week 4
Roadmap & Next Steps
Provide an actionable, prioritized plan.
- Sequence quick wins for 90-day implementation
- Define longer-term initiatives aligned to strategy
- Build phased rollout plan and capital plan
Deliverables
- Executive summary (5–7 slides)
- AI Value Creation Roadmap
- Recommendations for first 2–3 projects
- Before & after
What four weeks of structured analysis changes.
- AI discussions without a financial foundation
- Vendor pitches setting the prioritization agenda
- First project chosen by internal politics, not evidence
- Board presentations built on assumptions
- Development budget committed before readiness is assessed
- Every opportunity ranked by independently quantified ROI
- An unbiased view with no platform to sell
- First two initiatives chosen by evidence, sequenced for momentum
- Board-ready business case with stress-tested payback timelines
- Capital committed to the right initiative - and the organization ready for it
- What you receive
Four documents.
Each one immediately actionable.
The audit closes with a structured readout and a document package your leadership team can act on without translation. No slides to iterate on. No follow-on engagement required to decode the findings.
AI Opportunity Matrix
Every workflow in scope mapped against AI capability - automation, augmentation, and intelligence - scored on value vs. feasibility. Priorities are evidence-based, not political.
Used by: Operations and finance leadership to align on sequencing
Quantified Business Case
A financial model per top initiative: hours recaptured, cost eliminated, revenue unlocked, capital required, and payback period. Built to survive a CFO's scrutiny, not to pass a vendor's approval.
Used by: CFO, board, and capital allocation committee
AI Readiness Scorecard
An honest assessment of your data infrastructure, integration readiness, and organizational change capacity - with specific gaps that must close before each initiative goes live.
Used by: CTO and operations leads to sequence pre-work
18-Month Prioritized Roadmap
A sequenced initiative portfolio: quick wins for the first 90 days and structural plays for years one and two. Named owners, capital requirements, and success metrics included.
Used by: CEO and leadership team for board presentation and execution
- Is this right for you?
We work with a
specific type of client.
The audit is designed for mid-market leadership teams ready to make a decisive, evidence-based AI investment. We're direct about who it's built for - and who it isn't.
This is for you if
- You lead a $20M–$500M business with operational complexity across sales, finance, ops, or field teams.
- Your leadership team agrees AI matters but is split on where to invest first.
- You've received vendor pitches and want an independent view before committing a budget.
- You need a board-ready business case - not a concept document to refine internally.
- You're ready to act on the findings within 90 days of the readout.
It's not the right fit if
- You're looking for a vendor to recommend a platform you've already decided to buy.
- You need a six-month strategy process with multiple rounds of stakeholder alignment.
- Your organization isn't positioned to act on recommendations within the current budget cycle.
Not sure if this is the right fit?
A 60-minute briefing with our principals costs nothing. We'll tell you in the first half hour whether the audit is the right starting point - or whether a different engagement makes more sense.
- Begin
Think of the value
we can add in 90 days.
Schedule a 60-minute briefing with our leadership team. We’ll map the highest-ROI AI plays for your specific business - no slides required.
Let's TalkCalibrate on your business priorities, current operating data, and budget cycle.
A short, board-ready brief identifying the top three AI initiatives - with quantified ROI ranges.
For executive introductions and partnership inquiries - replies within 24 hours.