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Bannav S Bannav LLC
The Method

The Executive AI Transformation Method™.

One connected journey — from the first podcast episode a leader hears, to the long-term advisory relationship that outlasts any single transformation. The same methodology runs across our consulting engagements, workshops, and executive education.

The arc

Seven phases. One conversation.

Executive AI transformation is not a project with a start and an end. It is a decision-making practice the leadership team learns to run.

00
Learn
01
Trust
02
Diagnose
03
Review
04
Pilot
05
Scale
06
Advise

Learn builds fluency. Trust earns the room. Diagnose surfaces the truth. Review sets priorities. Pilot proves the plan. Scale operationalizes it. Advise sustains it.

Phase 00 · Learn

Executive Education & Thought Leadership

Every engagement begins long before the first meeting. Executive teams first encounter our thinking through the podcast, books, keynotes, and the AI Readiness Brief.

What happens
  • AI Transformation Playbook podcast — the working thesis, on the record
  • Two published books on AI, leadership, and judgment
  • LinkedIn newsletter and executive briefings
  • Keynotes and boardroom talks
Outcome

Leaders arrive with a shared vocabulary — and a clearer view of the decisions AI actually forces on the executive team.

Phase 01 · Trust

Executive Discovery Conversation

A confidential 45-minute conversation with the executive sponsor. We listen for the real question behind the AI ambition — and whether we are the right advisors for it.

What happens
  • Understand the executive sponsor's ambition, constraints, and board pressure
  • Frame the transformation question honestly — technology, governance, or people
  • Confirm fit before either side commits time or money
Outcome

A shared understanding of the situation, and a clear recommendation on whether to proceed to the diagnostic.

Phase 02 · Diagnose

Executive AI Readiness Diagnostic™

A structured self-assessment across leadership, governance, data, people, and operations. It surfaces where your organization actually stands — not where the vendor deck claims it does.

What happens
  • Board-grade diagnostic across five readiness domains
  • Executive-friendly scoring on a 0–100 scale with maturity tiers
  • Domain-level view of strengths, gaps, and blind spots
  • Baseline that transformation progress can be measured against
Outcome

A defensible readiness baseline the leadership team can act on — and revisit as the transformation matures.

Phase 03 · Review

Executive AI Readiness Review

Eric Bannavti Suiseka and Scott Archibald sit down with your leadership team to interpret the diagnostic, pressure-test findings, and set transformation priorities.

What happens
  • Advisor-led interpretation of the diagnostic scores
  • Executive interviews and leadership-team alignment session
  • Board-ready readout: what the numbers actually mean for strategy
  • Recommended sequencing across leadership, governance, and workforce
Outcome

Alignment on the two or three transformation priorities the executive team is willing to sponsor personally.

Phase 04 · Pilot

Executive AI Transformation Pilot

Our flagship 90-day engagement. Readiness Review, leadership alignment, SWOT-based strategic workshop, governance design, and a Crawl–Walk–Run roadmap the board can back.

What happens
  • Executive AI Readiness Review
  • Leadership alignment and SWOT-based strategy workshop
  • Governance review — policy, decision rights, oversight
  • 12-month AI Transformation Roadmap with owners and outcomes
  • Crawl–Walk–Run implementation strategy
  • 90-day executive action plan
Outcome

A credible, board-ready transformation plan — and an executive team aligned on how to lead it.

Phase 05 · Scale

Enterprise Scaling

Move from pilot to enterprise. Capability build, operating-model changes, workforce readiness, and measurable adoption — sequenced so risk falls as value compounds.

What happens
  • Operating-model changes: roles, decision rights, and cadences
  • Workforce AI literacy program design
  • Governance operationalization across business lines
  • Adoption metrics and executive dashboards
Outcome

AI moves from a small number of pilots to a coordinated portfolio of enterprise capability.

Phase 06 · Advise

Long-Term Advisory Partnership

Ongoing executive counsel at the cadence your leadership team requires — coaching, board support, governance review, and periodic re-diagnosis as the organization matures.

What happens
  • Fractional Chief AI Readiness Advisor engagement
  • Board and audit-committee support on AI risk and value
  • Annual re-diagnosis to measure transformation progress
  • On-call executive coaching between board cycles
Outcome

A trusted outside voice in the room whenever AI decisions get harder — not just when they get bigger.

Principles

What holds the method together.

01

Leadership before technology

Every phase is designed around executive judgment — not tool selection.

02

Diagnostic-driven

We do not recommend transformation moves without a measured readiness baseline.

03

Governance from day one

Policy, decision rights, and oversight are designed with the pilot — not bolted on later.

04

Crawl · Walk · Run

Sequenced adoption. Risk falls as value compounds — never the other way around.

05

Board-ready outputs

Every artifact is written for the audit committee and the operating team at once.

06

Advisory, not implementation

We stay in the executive seat. Delivery lives with the organization and its partners.

Enter the method

Start with the Diagnostic. Continue with the Review.

Complete the Executive AI Readiness Diagnostic™, then meet with our advisors to interpret the findings and set your transformation priorities.