Private · Closed-door · By invitation90–120 minutes · On your campus

Executive AI Briefing

A private leadership session for companies that need to understand what AI means for their business — not in the abstract, in their reality.

A 90–120 minute closed-door briefing for your leadership team — customised to your industry, workforce, regulatory context, and current priorities. We cover where AI matters for your specific business, the risks your board should be asking about, and a concrete 90-day adoption roadmap. Held on your campus, under NDA.

Led byRitesh Vajariya·Founder, AI Guru · ex-Amazon Web Services, Bloomberg, Cerebras

Why a separate session

Built for the room that approves AI investment

Most AI sessions are built for ICs or developers. The questions a CEO or CIO actually has — what changes for our workforce, what risks does our board need to know, where do we start without overinvesting, how do we govern this responsibly — rarely get addressed at the strategic depth that leadership teams need.

This briefing is built for that room. Closed-door, on your campus, with your leadership team. The content is shaped by your industry and current priorities — not a generic deck shown to every audience. Output is a board-ready summary, a prioritised opportunity list, and a 90-day adoption plan your team can act on.

Designed for

A focused leadership room

Typical attendance is 6–10 senior leaders. A small, peer-level group produces better dialogue than a broader internal audience.

CEO, MD, Promoter
COO / Operations Head
CIO / IT Head / Digital Transformation
CHRO / HR / L&D Head
CFO / Finance Head
Business Unit Heads
Plant Heads / Site Leadership
Procurement / Strategy / Risk Leaders

What we cover

Five buckets, shaped to your business

Each bucket gets industry-specific examples. The roadmap section is tailored to your priorities from the pre-call.

01

AI as Business Leverage

How AI shifts productivity, customer response, sales enablement, operations, knowledge management, decision-making, and engineering across your specific business.

02

Industry-Specific Use Cases

Concrete examples from your sector — manufacturing, financial services, healthcare, IT services, professional services, or retail — not generic SaaS demos.

03

Workforce Impact

Which roles get augmented first, which teams to train first, how performance expectations change, how to create internal AI champions, and how to avoid random tool sprawl.

04

Risk & Governance

Confidential data leakage, wrong AI output, employee misuse, customer trust, regulatory exposure (DPDP / RBI / sector-specific), IP and copyright, vendor lock-in, auditability.

05

90-Day Adoption Roadmap

A structured 30-60-90 plan: discover (readiness + use cases), pilot (champions + prototypes + guardrails), scale (controlled deployment + measurement + AI council).

In-session diagnostic

Does your organisation run all four loops?

Andrew Ng's three loops describe how AI-native teams build software. We add a fourth — the enterprise governance loop — that most regulated organisations haven't set up. We score your org on all four during the briefing.

The four loops of AI-native product development: Agentic Coding (minutes), Developer Feedback (minutes to hours), External Feedback (hours to weeks), Enterprise Governance (weeks to quarters)
LoopQuestion your leadership team should be able to answer YES to
01Do your developers run an agentic coding loop with evals — not just re-prompts?
02Do your developers play a product-shaping role, not just a QA role on agent output?
03Do you have a real external feedback loop — alpha users, A/B tests, usage telemetry — feeding back into specs?
04Do you have an inventory, risk register, policy stack, eval discipline, audit trail, and board cadence for your deployed AI?

Most enterprises we walk into score 1–2 out of 4. The missing loops are usually their highest-leverage investments for the next quarter. Read the full framework →

Sample agenda

Two hours · Discussion-heavy · No PowerPoint marathon

Executives don't want a lecture for two hours. About half the session is structured dialogue, not slides.

0:00–0:10Opening: Why AI is now a leadership issue
0:10–0:30From productivity tools to business transformation — what changed
0:30–0:55Use cases for your industry and your functions
0:55–1:15Risks: data, governance, people, accuracy, compliance
1:15–1:40Your 90-day AI adoption roadmap
1:40–2:00Leadership discussion: where should this company start?

How we customise

Pre-call & questionnaire — the differentiator

Before the briefing, we run a 30–45 minute call with the executive sponsor (typically the CEO, CIO, or CHRO) and a short written questionnaire. Roughly 30–40% of the content is then rebuilt around your reality. The questions we ask:

  • ?What industry and business model?
  • ?Top 3 business priorities for this year?
  • ?Where is the most manual work happening today?
  • ?Which teams are under productivity pressure?
  • ?What software systems do you run on?
  • ?What data and documents drive your business?
  • ?Are employees already using ChatGPT, Copilot, or Claude?
  • ?Any data, privacy, or regulatory restrictions to design around?
  • ?What would make this briefing successful for your leadership team?

We do not share the pre-call inputs or any session contents externally. Everything is under NDA by default.

After the briefing

How AI Guru can help you execute

The briefing is the starting point. From there, you choose what (if anything) to engage on. Below is the typical ladder — every company picks a different combination.

01₹1L – ₹5L · 2–3 weeks

AI Readiness Assessment

Structured review of your business — workflows, data, tools, team, regulatory posture. Output: prioritised opportunity map + risk register + 90-day roadmap.

02Half-day · leadership + function heads

AI Opportunity Mapping Workshop

Working session to align leadership and function heads on the top 3–5 AI opportunities, decision criteria, and ownership for each.

03Per-cohort scoped

Employee AI Training Program

Role-based training for managers, ICs, engineers, sales, HR, operations. Mapped to AI Guru's training catalogue plus custom modules for your tools and policies.

04₹2L – ₹10L · 4–6 weeks

AI Pilot Sprint

Build and deploy one production AI workflow — document intelligence, internal knowledge assistant, sales follow-up, customer support, or similar. Measured ROI.

05₹1L – ₹3L

AI Governance Policy Pack

Acceptable use policy, data handling guidelines, review workflows, vendor evaluation framework, audit checklist — tailored to your sector and risk posture.

06₹50K – ₹2L / month

AI Advisor Retainer

Monthly advisory for leadership and implementation governance — quarterly board reviews, vendor selection, escalation support, capability building.

Indicative pricing for Indian engagements. International engagements scoped separately. No obligation to engage after the briefing.

Format & pricing

Three models depending on context

Programme

Complimentary briefing

For a small number of first companies

  • Full 90–120 min session
  • Pre-call + questionnaire
  • Board-ready summary
  • Selection-based

Private

Paid private briefing

₹50K – ₹2L · scoped per company

  • Same format and customisation
  • Full readiness summary deck
  • Optional follow-up workshop
  • For warm or qualified leads

Sponsored

Multi-company host

Custom · one host invites peer leaders

  • Co-branded leadership session
  • 10–25 senior leaders
  • Industry or regional grouping
  • Excellent for local credibility

Frequently Asked Questions

Who attends a typical briefing?+

We design for a focused leadership room: CEO, MD, or promoter plus 4–8 of their senior team (COO, CIO, CHRO, CFO, BU heads, plant heads). A small, peer-level group produces better dialogue than a broader internal audience.

Is this a sales pitch?+

No. The briefing is structured around your business, not our services. We do present a clear 90-day roadmap of what your company could do — if you want help executing it, we discuss engagement options separately, after the session.

How customised is the content?+

Roughly 30–40% custom. We run a pre-call (30–45 min) and short questionnaire with you before the session — industry, priorities, workflows, systems, data, regulatory context. The use-case section, examples, and roadmap are tailored to your reality. The framework, risks, and governance discussion are evergreen.

What does it cost?+

For a small number of first companies, we offer the briefing complimentary as part of AI Guru's executive engagement programme. For warmer or larger engagements, pricing for a private 2-hour briefing plus a readiness summary is typically ₹50K – ₹2L, scoped per company. Sponsored multi-company briefings (one host inviting their peer leadership network) are also available.

Where is it delivered?+

On your company campus is the default — leadership teams attend their own building more easily. We can also deliver in a third-party venue (hotel, co-working) or virtually if leadership is distributed. Default is in-person for the dialogue quality.

What do we tell our board?+

We provide a one-page board-ready summary after the session — what was covered, the top opportunities and risks identified, and the proposed 90-day plan. This is one of the most useful artefacts for executives whose boards are asking AI questions.

What about data privacy and confidentiality?+

All briefings are under NDA. We do not reference your company or any session contents in marketing, case studies, testimonials, or other clients' sessions without written permission. Any documents or data you share for customisation are deleted after the engagement unless we agree otherwise.

Can you reference other companies you have briefed?+

Briefings are confidential by default. Sector references (e.g. "we have briefed leadership at three top-five Indian manufacturers") are available on request under NDA. We do not publish a client briefing list.

How long is the typical engagement after the briefing?+

Most companies that move forward do so within 30–90 days of the briefing. Readiness assessment is the typical first paid engagement (2–3 weeks). Pilot sprints follow at 4–6 weeks. Many leadership teams add a monthly advisor retainer once the first pilot is live.

Led by

Ritesh Vajariya, Founder of AI Guru

At Amazon Web Services (AWS), Ritesh drove $700M+ in AI revenue and architected core systems for BloombergGPT. He built the data and ML platform at Bloomberg — 1,000+ ML engineers, 100K+ CPUs, 5K+ GPUs at petabyte scale — and led GenAI strategy and business development at Cerebras Systems.

Through AI Guru he has shipped 20 AI products into production across 9 industries and trained 100,000+ professionals across 4 continents. He has briefed boards and executive teams at financial services, manufacturing, healthcare, and IT services companies — and writes The Forward View, read weekly by 3,600+ decision-makers.

Originally from Gujarat and based out of Princeton, NJ, USA. AI Guru's global HQ is in Princeton; delivery operations are run from Ahmedabad.

Want this for your leadership team?

Tell us about your company — industry, leadership team size, top priorities — and we'll respond within two business days with availability and a proposed pre-call slot.

Confidentiality. All executive briefings are conducted under NDA. We do not reference client companies or any session contents in marketing, case studies, testimonials, or other clients' sessions without written permission. Sector references are available on request under NDA. We do not publish a client briefing list.

Related

For board-level oversight engagements, see Governance & Board Advisory. For team-wide training, see our Training Programs.