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AI Guru vs. traditional consulting vs. generic AI courses
Traditional AI consultancies sell a plan and leave. Generic AI courses hand out certificates. AI Guru is a venture studio that builds production AI, trains your team to own it, and governs it at the board level — one accountable team, led by a practitioner who built AI at Bloomberg, AWS, and Cerebras.
Side by side
Three ways to get enterprise AI — and what each actually delivers
| Dimension | AI Guru | Traditional AI consulting | Generic AI courses |
|---|---|---|---|
| Who delivers | A practitioner who built AI at Bloomberg, AWS, and Cerebras | Rotating consultants, often junior staff on the ground | Pre-recorded instructors you never interact with |
| Engagement model | Build + Train + Govern from one accountable team | Build a system, then hand off and leave | Self-paced content, no engagement |
| Production focus | Systems that run in production and serve real users | Slide decks, POCs, and pilots that stall | Concepts and demos — no deployment |
| Governance | Board-level oversight + the Fiduciary AI Scorecard™ | Frequently out of scope or bolted on later | Not covered |
| Methodology | The SHIP Loop™ — model-agnostic, survives model releases | Proprietary frameworks that age with the firm | Tool-specific tutorials that go stale fast |
| Knowledge transfer | Your team owns the system through our Train practice | Ongoing dependence on the firm | No durable organizational capability |
| Proof | 20 products in production · 100,000+ trained · 72 NPS | Case decks and references | Completion certificates |
| Pricing | Scoped to outcomes | Time & materials, large retainers | Per-seat licensing |
Why it's different
Build. Train. Govern. One team.
We build, we don't just advise
AI Guru is a venture studio with 20 AI products in production across 9 industries. The advice you get is grounded in systems that actually run — not a methodology deck. Traditional consultancies sell the plan; we ship the system and prove it on your metrics.
We transfer capability, not dependence
Generic courses leave individuals with certificates and no organizational change. Consultancies leave you dependent on them. Our Train practice — built on the SHIP Loop™ and delivered by the practitioner who built the products — leaves your team owning the system.
We govern what boards approve
Most AI failures are governance failures, not technical ones. Board-level oversight and the Fiduciary AI Scorecard™ are part of how we deliver — aligned to NIST AI RMF, ISO 42001, and the EU AI Act — not an afterthought once something breaks.
FAQ
Common comparison questions
How is AI Guru different from a traditional AI consulting firm?
A traditional consultancy typically scopes a project, staffs it with rotating consultants, delivers slides or a pilot, and leaves — with your team dependent on them to go further. AI Guru is a venture studio that builds production AI itself (20 products live), trains your team to own it, and governs it at the board level. You get a practitioner who has shipped AI at Bloomberg, AWS, and Cerebras, accountable across build, train, and govern — not a hand-off.
How is AI Guru different from generic AI courses like Coursera or Udemy?
Generic courses are pre-recorded, individual, and concept-focused — they leave a person with a certificate but no production capability and no organizational change. AI Guru's training is practitioner-led, delivered live to your team, grounded in real deployments, and built on the SHIP Loop™ methodology so your engineers ship production-grade AI, not just understand it.
Is AI Guru a consultancy or a training company?
Both, by design — plus a product studio. The differentiator is that build, train, and govern share one accountable team. The same practitioner who builds production AI teaches from those deployments and sets the governance, so strategy, delivery, and capability transfer stay consistent instead of being split across vendors.
What is the SHIP Loop™?
The SHIP Loop (Scope → Harness → Iterate → Promote) is AI Guru's model-agnostic methodology for production-grade agentic development. It is the backbone of the Agentic Development for Engineering Teams program and is designed to survive model releases — the discipline outlasts any single tool or model.
What is the Fiduciary AI Scorecard™?
The Fiduciary AI Scorecard is AI Guru's board-level AI readiness framework (delivered via NEUBoard). It assesses an organization's AI oversight across five pillars so directors can exercise fiduciary duty over AI — ownership, risk, controls, and accountability — aligned to NIST AI RMF, ISO 42001, and the EU AI Act.
Do you actually build production AI, or just advise on it?
We build. AI Guru runs 20 AI products in production across 9 industries, all bootstrapped and revenue-generating. Advisory and training are grounded in those deployments, which is why the guidance holds up in production rather than in a workshop.
Want AI that ships, sticks, and survives an audit?
Tell us the problem worth solving. We'll come back with a path grounded in what's actually deployable — build, train, and govern from one team.
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