PTENES
TRAINING · FROM LABEL TO RESULT

🧭 AI consultant

The consultant’s work hasn’t changed: enter the company, find the real constraint and prescribe the simplest solution that works. AI is the toolbox — not the job description.

Learn to map opportunities, audit readiness and build execution plans — knowing when to move up the solution pyramid and when the best answer involves no AI at all.

cost · time · risk ↑ AI agents maximum capacity and risk AI workflows more power, more failure points Deterministic workflows · no AI cheap, fast, reliable — start here start here

The solution pyramid—illustrative diagram. Move up one level only when the problem really requires it.

5
Tracks
20
Modules
120
Topics
~16h
Duration

The 5 tracks

From conceptual foundations to the consulting business. Each track is a step in how a good consultant works: understand, map, audit, plan, and deliver.

TRACK 1 4 modules

🧭 Fundamentals

The work behind the label: the market window, the real constraint, the solutions pyramid, and when NOT to use AI.

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TRACK 2 4 modules

🔎 Map

Uncover the real constraint: interviews, process mapping, opportunity catalog, and the value × feasibility matrix.

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TRACK 3 4 modules

🛡️ Audit

Readiness, data, and risk: readiness assessments, maturity models, data audits, and governance (NIST AI RMF, ISO 42001).

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TRACK 4 4 modules

🗺️ Execution plans

From opportunity to business case: ROI, roadmap in waves, choose the pyramid level, and design pilots with success metrics.

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TRACK 5 4 modules

🤝 Delivery & Business

The consulting business: scope and proposal, pricing, deliverables kit, and how to lead adoption and scale the practice.

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The rule that organizes everything

Start at the base of the pyramid. Move up to AI, then to agents, only when the problem truly requires it.

Forcing AI where it doesn’t fit is the fastest way to lose the client’s trust.

Sources & frameworks

The content is grounded in real market frameworks and formal standards—not opinion. Research across multiple sources with adversarial verification (23 sources, 25 claims verified, 23 confirmed).

Anthropic · Building Effective Agents

"Start with the simplest solution; increase complexity only when needed—it may mean not building agents." Base of the pyramid.
McKinsey · Don't "AI the wrong thing"

Apply AI where autonomy and reasoning add value; keep traditional automation where it still works better.
NIST AI RMF 1.0

AI risk management across 4 functions—Govern, Map, Measure, Manage. Optional, not a checklist. Foundation of the Auditar learning path.
MITRE · AI Maturity Model

5 levels, 6 pillars, 20 dimensions, and a self-scoring questionnaire — a free, vendor-neutral assessment template.
Gartner · AI Maturity Model

7 pillars (strategy, data, governance, engineering, operating model, culture, value) and a roadmap prioritized by feasibility × value.
Weighted prioritization of use cases

Score for Value, Feasibility, Data, Compliance, Time-to-value, and Strategic Fit—the matrix from the Plans track.

Additional references mentioned throughout the course: ISO/IEC 42001 (AI management system), EU AI Act (risk categories), Theory of Constraints (bottleneck), and consulting pricing guides. Vendor frameworks (Gartner, CIGen) are used for illustration; Anthropic, McKinsey, and NIST are primary sources.