Grund Institute · Cognitive Fit Diagnostic

See where AI creates value, where value leaks, and what to redesign next.

One diagnostic. Four layers. A clear roadmap from AI usage to measurable business impact.

GrundMind · Adoption Diagnostic
Sample data
AI Adoption Score
0
/ 100
Cognitive Fit · Mid
Governance · 54/100
Top Adoption Gaps
% of teams
Workflow fit gap42%
Trust calibration risk31%
Unclear decision ownership26%
Over-reliance risk18%
Cognitive Fit by Team
Sales
Mktg
Ops
Legal
Finance
HR
Current vs Ideal
Co-thinkers18% → 28%
Calibrators34% → 32%
Controllers29% → 27%
AI-averse19% → 13%
Recommended Interventions
12-week roadmap
  • Evidence-first workflows for Calibrators
  • Decision checkpoints for Controllers
  • Peer adoption loops via Co-thinkers
+27%
faster tasks
−21%
rework
+34
trust index
How it works

From AI confusion to a clear plan in three steps.

01

Measure

A short structured diagnostic across your teams.

02

Map

We visualize fit, friction, trust and value — team by team.

03

Act

You get a 30 / 60 / 90 day roadmap with owners and KPIs.

The problem

Most AI programs measure usage. We measure fit.

01

High usage, low impact

People log in. The work doesn't get better.

02

Training isn't enough

One program can't fix every team.

03

Adoption is invisible

Dashboards show licenses, not trust or friction.

04

Unclear governance

Nobody owns AI-assisted decisions or their risks.

The four layers

We diagnose across four layers, not just one.

Each layer is a separate question. Together they explain why AI value lands — or leaks — inside your organization.

  1. Business value

    01

    Where should AI improve performance?

  2. Workflow fit

    02

    Where does AI fit — or break — the work?

  3. Cognitive fit

    03

    How do people respond to probabilistic AI?

  4. Operating model

    04

    What needs to change in roles, rituals and governance?

By the numbers

Most enterprises capture less than half of the AI value they deploy.

0%
of AI capability never reaches the P&L
0
leakage vectors per business unit
0×
more rework without workflow redesign
0–0%
of AI work shows measurable leakage
Value leakage

AI generates value. Your operating model leaks it.

Six places where AI value drains out before reaching the P&L — visualized and quantified.

Value Leakage Funnel · Sample
100 in → 39 captured · 61 leaked
AI DEPLOYED100units in28WORKFLOW22TRUST19COGNITIVE17GOVERNANCE14REWORK11OPERATING MODELCAPTURED39to the P&LINFLOW 100Each hole = one place value drains out before it can be capturedOUTFLOW 39
61% of deployed AI capability leaks before reaching the P&L — across six identifiable, fixable vectors.
28
units lost

Workflow

AI output never makes it into the real workflow.

22
units lost

Trust

Teams over-trust or under-trust AI. Both kill ROI.

19
units lost

Cognitive

Tool doesn't match how the team thinks or decides.

17
units lost

Governance

Nobody owns AI-assisted decisions or their risks.

14
units lost

Rework

Time saved on draft 1 is lost on drafts 2–5.

11
units lost

Operating model

Rituals and KPIs still reward the pre-AI way.

Platform preview

From vague concerns to measurable intelligence.

Cognitive Fit
68/100
Value Realization
Medium
Adoption Risk
High · 3 teams
Governance
54/100
Team Gap Heatmap
HealthyWatchRisk
Trust
Workflow Fit
Cognitive Load
Decision Clarity
Governance Need
AI Value Potential
Sales
Watch
Risk
Watch
Watch
OK
Risk
Marketing
Risk
Risk
OK
Watch
OK
Risk
Operations
Watch
Risk
Risk
Watch
Watch
Watch
Legal
OK
Watch
Watch
Risk
Risk
OK
Finance
Watch
Watch
Watch
Watch
Risk
Watch
HR
Risk
Watch
OK
Risk
Watch
Risk
Product
Risk
Risk
Watch
Watch
OK
Risk
Customer Support
Watch
Risk
Risk
OK
Watch
Watch
Illustrative sample data
Current vs Ideal Archetype Distribution
CurrentIdeal
Co-thinkers18% → 28%
Calibrators34% → 32%
Controllers29% → 27%
AI-averse19% → 13%
Illustrative sample data

Illustrative sample data.

Archetypes

Different teams need different AI strategies.

01

Co-thinkers

Use AI as a thinking partner. Explore, iterate, generate.

02

Calibrators

Engage deeply but need evidence before trusting output.

03

Controllers

Willing to use AI with clear rules and checkpoints.

04

AI-averse

Experts who resist uncertain, probabilistic outputs.

Use cases

Built for what happens after you buy the tools.

Wherever AI meets real work, GrundMind makes adoption legible — and acts on what's blocking value.

  • Enterprise AI Rollout

    Know which teams are ready and which are blocked.

  • AI Transformation

    Move past training completion to real workflow impact.

  • Regulated Industries

    Define where AI assists and where humans decide.

  • HR & Workforce

    Manage AI anxiety, skill shifts, and changing roles.

  • Consulting Partners

    A measurement engine behind your AI roadmaps.

Method

A diagnostic built around cognitive fit.

Equation of measurable AI value
AI Value=Tool Capability×Workflow Fit×Cognitive Fit×Governance Clarity

Tool Capability

What AI can do.

Workflow Fit

AI embedded in real work.

Cognitive Fit

Matches how people think.

Governance Clarity

Clear decision rights.

Deliverables

What you receive.

01Executive AI Adoption Scorecard
02Value Leakage Estimate
03Cognitive Fit Map
04Adoption Gap Heatmap
05Workflow Friction Map
06Governance Findings
07Intervention Simulation
0830 / 60 / 90 Day Roadmap
09Board-ready Summary
GrundMind Report · Executive Summary
Adoption Score
68/100
Top Risk
Workflow fit gap
Operations · Customer Support
90-Day Roadmap
30d · Diagnose
60d · Pilot
90d · Scale
Illustrative sample — branded version delivered to clients.
Packages

Choose your level of support.

GrundMind

Not just a diagnostic. A guided path.

Most AI adoption fails after the assessment because teams are left with data but no clear next move. GrundMind combines measurement, interpretation, prioritization, and hands-on guidance so leaders know exactly where AI fits, where it does not, and what to change first.

Measure

AI Adoption Diagnostic

One team or department that wants to understand where AI can create value — and where adoption is blocked.

  • Team survey diagnostic
  • Workflow & use-case review
  • Cognitive fit & readiness map
  • AI adoption blockers identified
  • Gap overview with clear causes
  • 60-minute readout session
  • Recommended next steps
Most chosen
Prioritize

AI Adoption Roadmap

Multiple teams or business units that need a practical, prioritized adoption plan.

  • Everything in Diagnostic
  • Cross-team comparison & patterns
  • Function-level adoption heatmaps
  • Current vs. ideal AI adoption state
  • Priority use-case map
  • Risk & governance gaps flagged
  • Executive-ready report
  • 30-day implementation roadmap
Implement

Guided AI Adoption Program

Companies that want hands-on support after the diagnostic — not a report left on a shelf.

  • Everything in Roadmap
  • Leadership advisory sessions
  • Intervention design & testing
  • Workflow redesign support
  • Manager enablement coaching
  • AI use-case prioritization
  • 30 / 60 / 90 day support cadence
  • Impact tracking & adjustment
From the field
"We were measuring license usage and calling it adoption. GrundMind showed us where the value was actually leaking — and what to fix first."
MR
Marcus R.
Head of AI Enablement
Nordic Insurance Group · 3,200 employees · Insurance
"The cognitive fit layer was the insight we didn't know we needed. It explained why our legal team embraced the tool and compliance resisted it — same tool, completely different fit."
EV
Elena Voss
Chief Transformation Officer
Meridian Capital Partners · 840 employees · Asset Management
Free pilot

Request a Free AI Adoption Pilot.

Not sure where AI can create real value in your organization? GrundMind helps you identify where AI fits, where it creates friction, and which workflows are worth testing first.