Executive AI Transformation Program · driveaioutcomes.com
Most organisations aren't failing at AI because of technology. They're failing because they can't turn it into outcomes. This program changes that.
The Problem
A few pilots. A few tools. Excited teams and nervous executives. A board asking hard questions. And a growing gap between what you've spent and what you can show.
The data team builds models. The tech team deploys tools. And the executive layer watches — hoping something sticks. That gap is costing you time, budget, and competitive ground.
The Solution
Drive AI Outcomes is a premium executive program that equips leaders with the strategy, operating model, and decision frameworks to turn AI investment into measurable commercial results.
Led by a senior transformation advisor with 16+ years spanning Bain, KPMG, and C-suite advisory roles across financial services, infrastructure, and government — this is the program top consulting firms use, modernised for AI.
What You Walk Away With
Not slides you'll never use. Actual artefacts you can deploy inside your organisation from week one.
Prioritised, P&L-linked — not a list of ideas
Governance and accountability tailored to your org
Pilot to production to scale — with a real path
Justify and track AI value at board level
Avoid wasted spend and strategic lock-in
How It Works
A structured four-stage journey designed to move at executive pace — focused, commercial, and immediately applicable.
Assess your current AI maturity, map existing initiatives to commercial value, and identify the critical gaps between where you are and where you need to be.
Build your prioritised AI investment thesis, define your operating model, and create the governance structures that will allow AI to scale — not stall.
Execute with your custom implementation playbook. Manage change, track adoption, and hold teams accountable to milestones — not just outputs.
Report AI ROI at board level. Track leading and lagging indicators. Build the internal capability to sustain transformation — without external dependency.
The Curriculum
Every module is built around decisions executives actually face — with MBB-style frameworks you can apply the week you learn them.
Why organisations fail — cutting through hype to actual enterprise value
Use case prioritisation using the value vs. feasibility matrix
Linking AI to business strategy — build vs. buy vs. partner
Risk, compliance, responsible AI — accountability structures that scale
Redesigning roles and workflows — augmentation vs. automation
Navigating platforms and integrators — avoiding vendor lock-in
From pilot to production to scale — change management in AI
Defining AI ROI in cost, revenue, and productivity — board-ready reporting
Skills, structure, and talent — insource vs. outsource, how to sustain
12–24 month roadmap design — sequencing initiatives, avoiding fatigue
Why This Is Different
Focus on tools and technology, not business outcomes
Over-index on theory and AI concepts
Don't translate into execution or action
Vendor-driven and technology-first
Leave you with a strategy deck that goes nowhere
ROI-first — every framework anchored to commercial value
Execution-led — built to be used, not just understood
MBB-style frameworks — consulting grade, modernised for AI
Executive-first — built for the C-suite, not for developers
You leave with a 12–24 month implementation roadmap
What Executives Say
From financial services to infrastructure — leaders who've worked with this framework on the ground.
Who This Is For
CIOs, CDOs, COOs, Strategy and Transformation leaders who are accountable for AI performance and need to govern it commercially — not just technically.
Organisations with fragmented AI initiatives and mounting board pressure — multiple pilots running, none producing the business outcomes expected.
Leaders who need to justify AI investment to the board, govern vendor relationships strategically, and build internal AI capability that compounds over time.
About the Program Lead
Not a theorist. Not a vendor. A senior transformation leader who has built AI strategy, operating models, and commercial outcomes inside real organisations — at pace.
A rare intersection of scientific rigour, management consulting discipline, and hands-on AI execution. Vinojini has led AI strategy and transformation at scale across financial services, infrastructure, healthcare, and engineering — advising boards and C-suites on the commercial architecture of AI, not just its technical deployment.
Formerly of Bain & Company and KPMG. Internationally recognised. A trusted advisor to organisations navigating the distance between AI ambition and real business outcomes.
Architected Latitude's enterprise-wide AI strategy, directing a 3× expansion in deployed AI use cases while cutting experimentation-to-production timelines by 60%. Chaired board-level AI governance and led the commercial case that unlocked over $20M in identified productivity, risk, and customer experience value. Achieved a 45% improvement in AI readiness scores and a 14-point NPS uplift across the organisation.
$20M+ value identified3× AI use case growth14pt NPS upliftDirected the design and institutional adoption of an agentic AI framework across three business divisions — achieving a 70% reduction in operational delays within regulatory boundaries. Led five cross-divisional strategy workshops that unlocked $3.2M in previously untapped dataset value and shaped compliant AI governance policy.
$3.2M value unlocked70% delay reduction50%+ lead conversionOriginated and grew a $27M+ AI and data transformation portfolio across transport, sustainability, and government. Established GHD's AI Centre of Excellence, led 55+ MBB-style strategy engagements, and represented the firm at 30+ national AI leadership events. Recipient of 5 State iAwards and 3 National Awards.
$27M+ portfolio originated8 national awards35% efficiency gainsWithin 30 days: established enterprise AI governance, designed an agentic service strategy targeting 85% automation of tier-1 member inquiries, and delivered a board-ready EV infrastructure investment roadmap identifying 15 high-priority sites — securing immediate phase-1 budget approval.
15 priority sites identifiedBoard approval securedLed large-scale multi-stakeholder engagements across healthcare, government, and life sciences — including directing the Covishield vaccine production strategy with the Ministry of Health, India, coordinating 60+ stakeholders across four time zones to achieve 250M doses per month capacity.
250M doses/month$750K+ revenue generatedManaged M&A origination and commercial model development across global healthcare markets. Delivered a $7M+ mobile health platform on time and $379K under budget. Produced 55+ financial models and board-level strategic recommendations across 11 client engagements.
$7M+ platform delivered$379K under budgetEngagement Options
Each format is designed around a different stage of organisational readiness. All three deliver the same commercial frameworks — at different depth and pace.
Per executive · Next intake open now
Organisation-specific · Custom scheduling
Hands-on advisory alongside the program
Apply Now
Complete this short application and we'll be in touch within 48 hours to discuss which engagement format is right for you and your organisation.
There's no commitment at this stage — just a conversation about where your organisation is with AI and where you want it to be.
What happens next: A senior advisor will review your application and reach out directly to discuss your situation, recommend the right program format, and answer any questions before you commit to anything.
Thank you — a senior advisor will review your application and be in touch within 48 hours.
In the meantime, feel free to explore the program details above or reach out directly at hello@driveaioutcomes.com
That ends here.
driveaioutcomes.com