Strategy to adoption
AI transformation
Strategy, readiness, use-case prioritization, governance, operating models and enterprise adoption.
Executive leadership · Selected advisory
AI Transformation · Commercial Strategy · Enterprise Execution
I help organizations turn AI ambition into practical, governed, measurable business outcomes.
Senior executive and advisor working across AI, data, commercial strategy, pricing and enterprise technology.
Open to selected advisory engagements and the right executive leadership opportunity.
01 / THE APPROACH
Many organizations don’t lack AI ideas. They lack alignment between business goals, data, technology, governance, ownership and execution. I work across those boundaries to turn promising ideas into executable programs.
Strategy to adoption
Strategy, readiness, use-case prioritization, governance, operating models and enterprise adoption.
Products & platforms
Data strategy, AI-enabled products, enterprise knowledge systems, analytics and implementation.
Revenue lifecycle
Pricing, monetization, Deal Desk, complex deal structuring and commercial decision support.
Workflow design
RFP and questionnaire response, quoting, contracting, handover and AI-enabled process redesign.
Enterprise execution
Transformation leadership, global teams, executive alignment, change and cross-functional delivery.
02 / ADVISORY
Focused advisory engagements designed around tangible business outcomes, with a defined scope, useful deliverables and a clear next step.
Turn AI conversations into a prioritized action plan.
Many organizations have more AI ideas than clarity on where to invest first.
A focused review of business priorities, workflows, use cases, readiness, data, governance, technology choices and execution constraints.
Move from scattered pilots to an enterprise AI strategy.
AI activity is underway, but priorities, ownership and execution are fragmented.
Align strategic priorities, the use-case portfolio, operating model, governance, data readiness, architecture direction, adoption and measurement.
Senior AI leadership at the decisions that matter.
The organization needs experienced guidance before adding another full-time executive.
A monthly advisory relationship supporting roadmap reviews, use-case choices, platform and vendor decisions, governance, program steering and leadership communication.
Improve how complex deals are priced, reviewed and approved.
Inconsistent discounting, slow approvals and disconnected workflows make commercial decisions harder.
Review pricing structure, approval thresholds, policies, deal economics, operating model, CPQ workflow, analytics and AI opportunities.
Bring structure, speed and judgment to complex enterprise responses.
Tight deadlines and fragmented contributions put response quality and defensibility at risk.
Support response strategy, question triage, source review, evidence, gap detection, technical and commercial alignment, escalation and final quality control.
Redesign one valuable workflow around AI.
A manual, document-heavy workflow consumes time without a clear path to safe automation.
Understand the current process, find friction and AI leverage, design a future workflow, prototype where appropriate, and define governance and human oversight.
Fixed-scope and fixed-fee engagements can be discussed once we understand the objective and scope.
03 / THE METHOD
Start with the business problem. Bring technology in when it can make a material difference.
Understand the business problem before discussing technology.
Find the few opportunities that materially affect growth, cost, risk, speed or customer experience.
Connect business process, AI, data, technology, governance and operating model.
Translate strategy into practical steps, owners, milestones and measures.
The objective is not more AI activity.
The objective is better business outcomes enabled by AI.
04 / EXPERIENCE
A career spanning hands-on technology, enterprise data and AI, commercial work and global leadership.
Fortress Information Security
Enterprise AI strategy, adoption, governance, implementation and executive enablement.
Data strategy, data-driven products and enterprise data capabilities.
Capgemini
Progression from hands-on technology roles into increasingly senior leadership responsibilities across enterprise technology, global delivery, business-process transformation, customer leadership, sales strategy and commercial programs.
Experience with distributed organizations and teams across North America, Europe and Asia. Industry exposure includes technology, cybersecurity, energy, telecommunications, healthcare, airlines and professional services.
05 / SELECTED WORK
Product thinking keeps strategy close to how work actually gets done: through systems, decisions and workflows people can use.
An AI-native approach to improving the enterprise revenue lifecycle, from lead-to-revenue workflows and solutioning to pricing, contracting, knowledge and delivery handover.
Explore SmartBusinessValueTurn enterprise documents into trusted decisions. A focus on knowledge, evidence, AI reasoning, governance and traceability in document-intensive workflows, including questionnaire response.
Related to EQIP / Enterprise Questionnaire Intelligence Platform.
06 / DIFFERENTIATORS
Transformation takes more than a strategy and more than a technology choice.
Start with the outcomes, then decide where AI and technology fit.
Work comfortably with business leaders, architects, developers and data teams.
Connect technology decisions to growth, margin, productivity, customer value and risk.
Focus on implementation, governance, ownership and measurable outcomes.
07 / WHO I HELP
Most useful when leaders have an important decision to make and need a clear path from question to action.
08 / WAYS TO ENGAGE
From one important decision to a long-term leadership role, the right shape depends on the work.
Focused sessions around strategic decisions.
A defined objective, deliverables and timeline.
Ongoing strategic guidance without a full-time commitment.
Open to the right long-term senior leadership opportunity.
09 / ABOUT VIVEK
Vivek is an enterprise technology and transformation executive whose career has evolved from software engineering into leadership spanning AI, data, commercial transformation and enterprise strategy.
He moves between the boardroom and implementation, bringing business strategy, technology, data, commercial decisions and organizational execution into the same conversation. His career has included work with distributed teams across North America, Europe and Asia.
Today, his focus is helping organizations move beyond AI experimentation toward practical, governed and measurable enterprise adoption.
Based in the United States
Working across enterprise contexts
10 / START A CONVERSATION
If you’re determining where AI can create meaningful value, improving a complex commercial process or turning a transformation initiative into an executable plan, let’s talk.
Selected advisory engagements · Executive leadership opportunities