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AI Agency Diagnostic in 30 days: applying the Ladder in your company

Step-by-step procedure to apply the AI Agency Ladder in companies of 50-500 employees. Surveys, interviews, scoring, and production of 6-month roadmap.

May 16, 2026 · 10 min · ai-agency-skills

What this post is

Applied companion to the AI Agency Ladder framework. Detailed 30-day procedure to diagnose real AI maturity in your company, generate scoring, and produce a 6-month roadmap.

Useful for: IT/Innovation director, Head of Operations, CEO of 50-500-employee company wanting to know “where we are and what to do next”.

Why diagnose before transformation

Destructive pattern common in 2026:

CEO reads HBR on AI transformation.
Announces “we’ll become an AI-first company”.
Hires generic consultancy that recommends Copilot/Claude/Gemini for everyone.
6 months later: licenses paid, ROI invisible, general frustration.

What was missing: diagnosis of the starting point. A Level 1 company on the AI Agency Ladder needs to start with basics. A Level 3 company needs to structure governance. Diagnosis determines the path.

Overview of the 30-day diagnostic

Week	Main activity	Output
1	Survey + executive interviews	Current-use map + perception
2	Operational interviews + observation	Real use cases documented
3	Scoring across 5 levels + gap analysis	Diagnostic report
4	Roadmap + prioritization + presentation	Approved 6-month plan

Typical cost: 60-100 consulting hours + 8-15 hours/employee (40-60 interviews + survey).

Week 1 — Survey + executive interviews

Broad survey

Send short survey (5-7 minutes) to 100% of employees. Questions:

Current use (0-5 scale):
- Do you use generative AI (ChatGPT, Claude, Gemini, Copilot) at work?
- Frequency: daily / weekly / monthly / rarely / never.
- In what kind of task? (multi-select)
Perception of utility:
- On a 1-5 scale, has AI helped you deliver more value?
- On a 1-5 scale, has AI reduced time spent on repetitive tasks?
Knowledge:
- Do you know the company’s policy on AI use?
- Have you had formal training in the last 6 months?
Appetite:
- Would you like more training?
- In what area do you believe AI can help most?
Open concerns:
- What worries you most about AI in the company?

Time: 5-7 min. Typical response rate: 60-75% in SMB, 40-55% in large company.

C-level + director interviews (1h each)

Interview 5-8 people: CEO, COO/CFO, CTO, head of HR, head of sales, head of operations.

Key questions:

What’s the company’s strategy for the next 18 months? How can AI accelerate/block?
Which workflows today cost more time than they should?
What critical decisions about AI were made in the last 6 months? Who decided?
Is there budget allocated for AI?
Who is “responsible” for AI in the company today?
If we were perfect at AI in 12 months, what would change?

Week 2 — Operational interviews + observation

Operational interviews (30-45 min each)

Select 2-3 people from each operational area (finance, sales, marketing, support, HR, ops). Total ~12-20 interviews.

Questions:

Describe a typical week. What tasks do you do?
Which of these tasks do you do “on autopilot”? (signal of candidate for automation)
Which tasks do you feel give disproportionate work to value?
Have you tried using AI for any of these? How was it?
If you had a magic extra hour per day, what would you do with it?

Direct observation (optional but useful)

Accompany 1-2 employees per half-day each. Don’t invade privacy, but observe real workflow.

Detects gaps between “what people say they do” and “what they actually do”.

Week 3 — Scoring + analysis

AI Agency Ladder Score

Use AI Agency Ladder framework. Score in each dimension (1-5):

Curiosity: percentage of employees using AI weekly.
Capability: usage level (basic vs advanced).
Coverage: breadth of areas using AI.
Coherence: is there policy? processes? governance?
Continuous improvement: is there improvement cycle, training, feedback?

Sum 5-10 = Level 1 (exploration) 11-15 = Level 2 (individual adoption) 16-20 = Level 3 (area coordination) 21-25 = Level 4 (operationalized) 26-25 = Level 5 (transformational)

Most companies are at Level 1-2 in 2026.

Gap analysis

For each dimension where score is low, list the causes:

Lack of training?
Lack of approved tool?
Lack of time?
Lack of governance/policy?
Resistant culture?

Week 4 — Roadmap

Roadmap structure (6 months)

Month 1 (foundation):

AI usage policy approved and communicated.
List of approved tools + licenses acquired.
DPO/governance defined.

Month 2-3 (capability):

Workshop for 3 pilot areas.
Champion program in each area.
Before/after metrics defined.

Month 4-5 (coverage):

Rollout to 100% of company.
Monthly internal newsletter.
Practice community (Slack channel, monthly AI coffee).

Month 6 (continuous improvement):

Incident/error audit.
ROI evaluation.
AI Agency Ladder re-score.
Plan for next 6 months.

Prioritization

For each item, score 1-5 in:

Expected impact
Implementation effort
Risk

Prioritize: high impact + low effort + low risk. When there’s trade-off, high impact + medium effort wins.

C-level presentation (60-90 min)

Recommended structure:

Diagnostic: where we are (15 min).
Vision: where we want to be (10 min).
Roadmap: how we get there (30 min).
Cost + ROI: expected budget (10 min).
Immediate next steps (5 min).
Q&A (30 min).

Anti-patterns in diagnostic

Survey without interview. Quantitative data without qualitative loses nuance.
Interviewing only C-level. C-level knows strategy, doesn’t know real day-to-day workflow.
Score without evidence. Company says “we’re at level 3” without objective evidence → illusion.
Roadmap without explicit prioritization. Company wants to do everything, does nothing well.

FAQ

Can I do internal diagnostic without consultancy? Yes, but there’s bias of “seeing oneself better than one is”. External auditor (even part-time consultant) reduces bias.

How much does it cost with SkilLab? Consulting + Corporate Training Workshop covers exactly this scope. Price varies with company size, typically USD 12-30k for diagnostic + roadmap.

Can the Ladder score go up in 6 months? Yes. Typically we saw +1 level in 6 months when the roadmap is executed with discipline. +2 levels in 12 months is feasible.

And if the company is at level 4-5? Worth a diagnostic? Yes, but with different scope — focus on optimization and “how to maintain high level” instead of “how to climb”.

Next steps

Apply the survey (even informally) to your team this month. Even without formal consultancy, it’s a wake-up call.
SkilLab Workshop — Consulting & Training. 30-day diagnostic + delivered roadmap. Details.
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