Find what's blocking your AI value — before you spend another euro on tools.
A 3-week diagnostic that scores collaboration and AI readiness across six dimensions, benchmarks you against your peers, and hands your leadership team the three interventions that will move the needle first.
30 minutes · Free · No obligation · for leadership teams owning a transformation outcome
Discovery call
A free 30-minute conversation about your current AI initiative, the barriers you are seeing, and whether the Readiness Audit is the right next step.
Short survey
A 10–12-minute, evidence-based instrument adapted to your context. Confidential, segmented by role, tenure, and function.
Diagnostic readout
A 90-minute working session with your leadership team: scored radar across six dimensions, peer benchmarks, and the three things to fix first.
- →Most stalled AI initiatives are not technology problems — they are collaboration problems with a measurable signature.
- →The Audit scores H2H (Human-to-Human) and H2M (Human-to-Machine) readiness across six evidence-based dimensions.
- →Results are benchmarked against peer organizations, segmented by function and role, and ranked by intervention leverage.
- →End-to-end timeline: 3–4 weeks. Survey: 10–12 minutes per respondent. Readout: 90 minutes with leadership.
- →The first step is a free 30-minute discovery call.
- →Most clients start here, then graduate to the deeper AI Adoption measurement program.
Six dimensions that predict whether AI will compound — or stall.
Four H2H dimensions diagnose the collaboration foundation. Two H2M dimensions diagnose how well people actually work with AI. The combination tells you where to intervene.
Goal alignment across levels
Whether individual, team, and organizational goals are compatible — or quietly competing.
Boundary spanning
Whether knowledge and coordination flow across functions, instead of getting trapped in silos.
Cognitive diversity
Whether different perspectives are present and actually used to reach better decisions.
Psychological safety
Whether people can surface disagreement, admit errors, and propose unconventional ideas.
AI integration
How deeply AI is embedded in real workflows — beyond pilots and individual experimentation.
Knowledge sharing with AI
Whether people calibrate trust in AI output and share what they learn back into the organization.
Three deliverables, one decision.
Enough evidence to decide where to invest next — and enough specificity to act on Monday.
Scored radar across six dimensions
H2H and H2M readiness on a single chart, compared against an industry benchmark so you see relative — not just absolute — performance.
Segmented breakdown
Scores cut by function, tenure, and customer-facing role. You see where the problem actually lives, not just an organizational average.
Three highest-leverage interventions
A ranked shortlist of structural, cultural, or tooling changes — sequenced so each one unlocks the next.
The Cross-Functional Advantage
Four mechanisms — aligned goals, boundary spanning, cognitive diversity, and psychological safety — turn diverse functions into one innovation engine. AI then amplifies the work.
Quality Lift with AI
Consultants using GPT-4 on in-frontier tasks produced output ~40% higher in quality and worked 25% faster — but only when human judgment guided where AI helps (Dell'Acqua et al., HBS / BCG).
Source: Dell'Acqua et al., HBS / BCGInnovation Advantage
Teams that actively span boundaries — scanning the market, coordinating across functions, and shaping leadership views — secure more resources and outperform inward-looking teams (Ancona & Caldwell).
Source: Ancona & CaldwellOf Future-Built Companies
Nearly 90% of AI leaders expect most of their AI value to come from reshaping cross-functional business processes — not from the tools themselves (BCG, The Widening AI Value Gap, 2025).
Source: BCG, The Widening AI Value Gap, 2025Collaboration Performance
The shift from coordinated silos to genuine cross-functional collaboration — where goal alignment and psychological safety unlock real AI value.
From Aligned Goals to Breakthrough
Fix the human collaboration first, and AI becomes an accelerant. Skip it, and AI just makes your silos faster.
Aligned Goals, Not 'Common' Goals
We make distinct functional goals compatible across individual, team, department, and organization — the textbook signature of teams that out-innovate.
Boundary Spanning by Design
Teams that scan markets, coordinate across functions, and engage leadership secure more resources and produce more innovation than inward-looking teams.
AI as Tool, Not Teammate
AI removes friction in collaboration — search, drafting, translation between jargons — but it does not align goals or build trust. People still do that work.
From Synergy to Breakthrough
Innovation is not a flash of genius. It is a sequence — trust enables alignment, alignment unlocks productive friction, friction sparks insight, and insight ships as breakthrough.
The Readiness Audit
Most cross-functional innovation problems are problems of goals and structure — not of software. We diagnose where silo mentality, goal misalignment, and missing psychological safety are blocking your AI value — and where miscalibrated trust in AI is quietly destroying it. Start with the short definition of H2H vs H2M readiness if you want the framework before the scores. For a deeper organizational diagnosis, see the AI Adoption — it maps the human factors that decide your return on AI.
Are departmental goals compatible with the organization's direction?
Does knowledge flow across functions, and does AI augment it without replacing judgment?
Can people surface disagreement, admit mistakes, and propose unconventional ideas?
FAQ
What makes this an audit, not just a survey?
A survey collects opinions. The Readiness Audit scores six evidence-based dimensions, benchmarks them against peer organizations, and translates the result into a sequenced list of interventions. It ends with a 90-minute leadership readout, not a PDF dump.
How long does the audit take end-to-end?
About 3–4 weeks. Discovery call first, then scoping in week 1, survey window in weeks 2–3, diagnostic readout in week 4. The survey itself takes 10–12 minutes per respondent.
How is this different from the AI Adoption service?
The Audit is the diagnostic — it tells you where you stand and what to fix first. AI Adoption is the deeper measurement program (10–12 weeks) that quantifies the human factors driving your return on AI as RESOURCES → EXPERIENCE → RESULTS. Most clients start with the Audit.
Who should be in the room for the readout?
The leadership team responsible for the scope you measured — typically the C-level sponsor plus heads of the affected functions. Five to eight people is the sweet spot.
Start with a free 30-minute discovery call.
We'll pick the right scope, agree on a timeline, and confirm whether the Audit is the right next step for you.