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Cogitant AI Exposure Index™ · AI Advantage Index™

Everyone Is Telling You to Adopt AI.
Nobody Is Telling You Where You Stand — or Where You'd Win.

AI quietly costs you two ways: doing nothing while the ground shifts under you — or moving fast in the wrong direction. Exposure you can't see is exposure you can't price. And the upside you haven't located is upside your competitors will find first.

Two numbers answer the question that decides which way it breaks. Your AI Exposure Index™ scores the risk — what inaction is costing you, dimension by dimension. Your AI Advantage Index™ scores the upside — where AI creates real value for your business, and in what order to capture it. Together, they tell you exactly what to do first.

Built on David Dickinson's 7 C's framework and calibrated to your industry. Not a survey — a facilitated strategic engagement that delivers both scores, the revenue at stake, and a board-ready plan your leadership can act on the same week.

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Sample Result
$22M Legal Services Firm
AI Exposure Index™Your risk — across the 7 C's
73High Risk
AI Advantage Index™Your upside — across 4 value drivers
81Exceptional
Strategic Position
Foundation First
Big upside, gated by fixable risk — close the gaps that block your #1 advantage play, then move.
Industry-calibrated: Legal Services · 1 of 31 Illustrative sample
72%
of organizations now use AI in at least one function — up 44% in two years
50%
revenue decline for firms not adopting AI vs. adopters over 4 years (Clio 2025)
18–24
months remaining in the proactive advantage window before category leaders lock in

The window for proactive AI leadership is open now — and narrowing. Every quarter of inaction compounds into a structural disadvantage. The Cogitant AI Exposure Index™ and AI Advantage Index™ tell you exactly where you stand — and exactly where to move.

How It Works

Three Instruments.
One Answer.

You can't lead a transition you haven't measured. One facilitated engagement produces both of your scores — calibrated to your industry — and turns them into a single, sequenced plan.

1 Risk

AI Exposure Index

AEI™ · 0–100 · higher = more exposed

A structured diagnostic across the 7 C's — Clarity, Culture, Capability, Content, Customers, Compliance, Continuity — scored into one composite risk index, with the revenue at risk and the failure pattern behind every gap named.

7 dimensions · 174 diagnostic questions
2 Industry

Industry Calibration

The lens on both scores

The gaps that sink a law firm look nothing like a factory floor's. Every score is refined against your industry's disruption risk, value potential, adoption velocity, and competitive stakes — a transparent synthesis of published research, not a black box.

31 industries · 4 impact dimensions · sources ↓
3 Advantage

AI Advantage Index

AAI™ · 0–100 · higher = more upside

Risk is only half the picture. The AAI™ scores where AI creates the most value for your business across four value drivers — capacity, decision intelligence, revenue expansion, and moat — and quantifies the opportunity window in dollars.

4 value drivers · quantified opportunity
One facilitated engagement Weeks, not months Board-ready deliverables Re-run annually to measure progress
Exposure × Advantage = your move

Your two scores place you in one of four strategic positions — telling you not just how exposed you are, but exactly where to play offense first. The quadrant decides the sequence: what to do first, not just what's wrong.

Execute Now Foundation First Advisory Stabilize First
The Framework

Exposure Isn't One Thing.
It's Seven.

Built on David Dickinson's 7 C's of AI framework — a published, structured methodology that translates abstract AI risk into an actionable organizational score. One score. Seven dimensions. A board-ready picture of where you stand.

01

Clarity

Do you know exactly which problems AI should solve, and where it shouldn't? Strategic clarity separates high-ROI adopters from expensive experiments.

02

Culture

Does your organization's human environment support adoption — or resist it? Cultural readiness predicts implementation success more than technology choices.

03

Capability

Do you have the skills at leadership, operational, and technical levels to deploy and govern AI effectively? Gaps here are the #1 reason adoption stalls.

04

Content & Data

Do you have clean, proprietary data assets that can power AI? Organizations with differentiated data hold structural advantages that competitors cannot purchase.

05

Customers

Are you tracking how AI is reshaping your market and customer expectations? The shift in buyer behavior is already underway — often before revenue data shows it.

06

Compliance

Do you have governance for the legal, regulatory, and ethical risks? With 741 AI bills introduced across 30 states in 2026, this dimension is no longer optional.

07

Continuity

Can you sustain AI adoption beyond the pilot? Most organizations launch successfully and stall. Continuity determines whether AI becomes operational infrastructure or a failed experiment.

Where the Upside Lives

Risk Is Only
Half the Picture.

Knowing what AI threatens is essential. Knowing where it creates the most value — and the order to capture it — is what turns a defensive posture into a competitive one. The AI Advantage Index™ scores your upside with the same rigor the Exposure Index scores your risk, across four value drivers.

01

Capacity Liberation

Where AI gives your people their time back — automating repetitive work so expert judgment is spent where it actually moves the business.

02

Decision Intelligence

Where AI sharpens the calls that matter — surfacing patterns across your data to make strategy, pricing, and risk decisions faster and better.

03

Revenue Expansion

Where AI opens new ground — faster delivery, new service lines, and offers your competitors can't yet match.

04

Competitive Moat

Where AI compounds your structural advantages — proprietary data and hard-won expertise become assets rivals cannot simply buy.

The Four Value Pillars
Where Every Action Pays —
and How the Roadmap Proves It.

The value drivers tell you where your upside lives. The four value pillars are how that upside shows up in your business — and they're built into the plan itself. Every action in your roadmap is tagged to the pillars it advances, so what you get isn't a list of chores. It's a sequenced value plan your board can read at a glance: what to do, in what order, and where each move pays.

Productivity
More output, same team

AI absorbs the repetitive work so your people produce more of what clients actually pay for — without adding headcount.

Efficiency
The same work, in less time

Streamlined processes, faster cycle times, less rework — the operational drag AI is best at removing.

Protect / Grow Market
Defend revenue, win what's next

Meet the expectations AI-informed customers now bring, match AI-enabled competitors — and open offers they can't yet deliver.

Cost Savings
Direct, bankable reduction

Lower cost-to-serve, avoided spend, and the compliance and rework costs that never materialize because the foundations hold.

From a Sample Roadmap — Actions, Tagged to the Value They Create
Consolidate client data into one governed source of truth EfficiencyCost Savings
Stand up an AI use policy with role-based staff training Protect / Grow MarketProductivity
Automate first-draft review of your highest-volume work ProductivityEfficiencyCost Savings
The coverage view is the insight: your report totals every pillar across the full plan. A thin pillar is a finding in itself — value your plan should go get — and the annual re-run shows each pillar filling in as the work lands.
The Cost of Standing Still

Three Paths.
36 Months.

Inaction looks like stability — until it doesn't. Two mechanisms do the quiet damage, and the window to get ahead of them is measurable. Based on observed divergence between AI-adopting and non-adopting organizations, cross-referenced with McKinsey, Goldman Sachs, WEF, and Forrester research.

Pricing-Power Erosion

When AI-enabled competitors deliver equivalent work at lower cost, price is the first thing to move — quietly, then all at once. By the time it shows in revenue data, the gap costs 3–5× more to close.

The Talent Spiral

The best people go where the best tools are. Every quarter without a credible AI position makes you easier to recruit against — and the people who leave first are the ones you can least afford to lose.

Now
The advantage window is open. Early movers are setting the terms of their categories.
12–24 Months
Structural positions harden. Late movers compete against compounding advantages.
Beyond
Closing the gap costs 3–5× more than leading would have — if it can be closed at all.
Scenario A
No Action
  • Year 1: 5–12% revenue erosion in vulnerable service lines; talent attrition begins quietly
  • Year 2: Competitors offer equivalent services at 30–50% lower cost; cumulative erosion 15–25%
  • Year 3: Market position materially weakened; recovery costs 3–5× more than proactive investment
Revenue in AI-exposed categories 25–40% below baseline
Scenario B
Reactive Adoption
  • Year 1: No meaningful action; revenue erosion begins as in Scenario A
  • Year 2: AI tools deployed internally; productivity improves 15–25%; revenue stabilizes
  • Year 3: Revenue near baseline; some permanent market share lost to early movers
Financially survivable — strategically insufficient
Scenario C
Proactive Leadership
  • Year 1: 20–30% productivity gains; new AI governance revenue of 5–15% of baseline
  • Year 2: AI advisory becomes primary growth driver as state laws proliferate
  • Year 3: Revenue 15–30% above 2025 baseline; category authority established
Revenue +15–30% — new market categories created
What AI Cannot Replace

Six Durable
Human Advantages

A complete risk analysis requires equal rigor in identifying where human expertise remains structurally irreplaceable — and where your organization should concentrate investment.

⚖️

Judgment Under Uncertainty

AI excels at pattern matching over historical data. It fails when encountering genuinely novel circumstances or ethical dilemmas without clear precedent.

🛡️

Accountability & Liability

AI gives advice with no accountability. In any domain where advice carries legal or financial consequences, the value of accountable professionals may actually increase.

🤝

Empathy & Relational Trust

High-stakes decisions are made based on trust in a relationship. Long-standing client relationships hold structural advantages AI-native competitors cannot purchase.

🗺️

Jurisdictional Nuance

AI tools lag regulatory change. Human experts who track evolving state and federal law in real time hold a durable advantage — but only if actively maintained.

🎯

Negotiation & Advocacy

Adversarial contexts — litigation, labor negotiation, regulatory advocacy, deal-making — require dynamic, context-sensitive judgment that AI cannot reliably perform.

🏛️

Community & Belonging

The social value of professional community — peer networks, certifications, cohort benchmarking — addresses a fundamental human need that AI does not.

Research Foundation

Grounded in
Published Evidence

The Cogitant AI Exposure Index™ scoring methodology is informed by economy-wide research from leading institutions. All sources are publicly available research published 2024–2026.

McKinsey 2025
72%
of organizations use AI in at least one function, up from 50% in 2023
Goldman Sachs
63%
of U.S. work hours now exposed to AI, with 25–50% of tasks directly automatable
Clio 2025
50%
revenue decline for non-AI-adopting firms vs. near doubling for adopters over 4 years
WEF 2025
78M
net new jobs projected globally by 2030 — but 92M displaced before replacement roles exist
Forrester 2025
16%
of individual workers had high AI readiness (AIQ) — the talent gap organizations must close
State Legislatures
741
AI-related bills introduced across 30 states in current legislative sessions alone
Harvard Business 2025
3×
productivity improvement for marketing professionals using generative AI tools
Gartner 2026
80%
autonomous resolution rate for routine customer inquiries at fully AI-deployed organizations
Methodology — The Industry Lens

Calibrated by Industry,
Sourced & Transparent.

Your exposure isn't generic — so every score is calibrated across 31 industries on four impact dimensions: Disruption Risk, Value Potential, Adoption Velocity, and Competitive Stakes. These weightings are structured analytical estimates — a transparent synthesis of published automation research, regulatory analysis, and real deployment data, not a black-box model. The reasoning behind every score is open and challengeable, and recalibrated annually as the field moves.

Primary Reference Sources — Industry Calibration
Frey, C.B. & Osborne, M.A. (2013). The Future of Employment: How Susceptible Are Jobs to Computerisation? Oxford Martin Programme.
Acemoglu, D. & Restrepo, P. (2018). Artificial Intelligence, Automation and Work. NBER Working Paper 24196.
McKinsey Global Institute (2017, updated 2023). A Future That Works: Automation, Employment, and Productivity.
Brynjolfsson, E. & McAfee, A. (2014). The Second Machine Age. W.W. Norton & Company.
McKinsey & Company (annual). The State of AI: Global Survey.
Gartner (annual). Gartner AI Adoption Barometer. Gartner Research.
World Economic Forum (biennial). The Future of Jobs Report.
Deloitte Insights (annual). Tech Trends Report — AI in Industry.
U.S. Bureau of Labor Statistics. O*NET task-level occupational data. Dept. of Labor.
NBER Automation Research Program. Working papers on AI & labor outcomes, 2018–2024.

Industry weightings reflect the state of the field as of publication and are recalibrated annually against updated McKinsey State of AI and WEF Future of Jobs data. Methodology: David Dickinson, Cogitant Partners.

See It In Action

What Your Leadership
Team Will Walk Away With.

Together, the Cogitant AI Exposure Index™ and AI Advantage Index™ produce board-ready deliverables — your risk and advantage scores, the revenue at stake and the opportunity, your biggest gaps, and a prioritized plan. Here's what your leadership team actually walks away with.

Integrated result showing AI Exposure and AI Advantage scores, strategic position quadrant, and revenue ranges
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Risk × Advantage Snapshot
Both scores, your strategic position, and the revenue at stake — at a glance
Executive one-pager showing risk and advantage scores, revenue ranges, top exposures and recommended first move
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Executive One-Pager
The headline on one page: scores, revenue at stake & opportunity, top exposures, first move
AI Value and ROI Brief showing quantified opportunity range, top value plays and the readiness sequence
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AI Value & ROI Brief
Where AI creates the most value — quantified — and the sequence to capture it
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These are static previews — the interactive tour walks through the full risk × advantage story end to end.

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The Cogitant AI Exposure Index™ is a facilitated strategic engagement — not a self-serve survey. We work with you to gather the intelligence needed to score your organization accurately across all seven dimensions. Reach out to start the conversation.

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