What you get

A clear view of what is working, what is getting in the way, and what to do next.

GrundMind turns team and workflow evidence into a practical leadership diagnosis. You see the strengths worth preserving, the barriers absorbing value, the changes that should be made, and a sequenced path forward.

Exact outputs depend on the scope and the evidence available. Missing evidence remains missing rather than being turned into a false conclusion.

From evidence to action
What is working
Strengths · Fit · use cases
What is getting in the way
Barriers · leakage · team gaps
What should change
Adapted workflows · support
What to do next
Actions · owners · 30/60/90
Know what is working

See the strengths worth preserving and scaling.

GrundMind identifies where business value, workflows, Human-AI interaction, governance and capability already support useful AI work. It also surfaces the use cases that are worth pursuing rather than assuming every task needs more AI.

Illustrative team result
Primary strength
82.9
Cognitive Fit
Business Value75
Workflow33.3
Cognitive Fit82.9
Governance & Trust75
Role & Capability75
Strong foundation
Human-AI readiness
Opportunity
High-value use cases
Know what is getting in the way

Find where useful AI work is losing value.

Barriers are kept distinct. Missing ROI, Value Leakage, Team Gap and workflow friction answer different questions, so leadership can respond to the actual constraint rather than defaulting to more training, more licences or another pilot.

Illustrative result
Where useful work loses value
110.9 h
active-work leakage / month
Context
Retrieval friction
friction
AI work
Manual repetition
friction
Handoff
Coordination
friction
Verification
Excess checking
friction
Outcome
Value retained
Context retrievalReworkManual repetitionExcess verificationHandoff coordination
Missing ROI: Value created but consumed
Know what should change

Turn findings into adapted workflows and practical support.

Recommendations connect the evidence to concrete changes in workflow, governance, Human-AI handoffs, verification, capability and management support. The aim is not simply to increase AI use, but to make useful AI-supported work function better.

Current workflow
01Context scattered
02AI outside the tool flow
03Unclear handoffs
04Heavy verification
Adapted workflow
01Reliable context
02Clear AI entry point
03Named human handoff
04Risk-based verification
Workflow
Remove friction
Governance
Make controls usable
Capability
Support the real work
Know what to do next

Leave with a sequenced plan, not a list of observations.

Recommended actions are translated into a 30/60/90-day roadmap with priorities, ownership, timing and measurable conditions for success. Leadership can see what to address first, what to test, and what should only be scaled once the evidence improves.

First 30 days
01
Understand
Prioritize
Map workflows
Set baselines
Days 31–60
02
Redesign
Adapt workflows
Set controls
Enable teams
Days 61–90
03
Measure
Run pilots
Reassess
Scale selectively
Owner
Timing
Success measure
Clear reports, built for decisions.

Results are delivered at the appropriate individual, team, manager and corporate level. Evidence remains attributable, privacy boundaries remain intact, and findings are reviewed before client delivery.

Discovery call

Find out where AI value is getting lost.

If AI is already in use but the business impact is unclear, GrundMind helps you see where value is being created, where it is leaking, why, and what to fix first.