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Executive Point of View

Growth Enabler for the
President and CRO
in the AI Era

SD
Samir Deolikar
20+ Years in IT Services Leadership · San Francisco Bay Area
2025 · San Francisco Bay Area
Executive Context

The Four Pillars — And Why They Are No Longer Enough

Sales

Business acquisition and pipeline development

Client Partner Org

Driving organic growth within existing accounts

Practices

Building capabilities, accelerators, and partnerships

Delivery

Executing at scale with quality and efficiency

While effective in a stable environment, this model is no longer sufficient in the AI era. AI is fundamentally shifting the industry across every dimension of how services are sold, delivered, and valued.

The Four Fundamental Shifts

→Human-led services → Human + agent-led systems
→Efficiency focus → Reimagination via first-principles thinking
→Rate-card pricing → Outcome and IP-led models
→Relationship-led sales → Proposition-led growth
The Core Problem

The Missing Growth Integrator

Expected to sell transformation, not just services — but lacks the connective tissue to do so consistently.

Expected to drive growth, not just manage renewals — yet constrained to relationship maintenance.

Expected to lead reinvention, not just operations — while Practices and Delivery still play catch-up.

"What is missing is a single role that connects and transforms all growth pillars."
The Solution

The Growth Enabler
AI Transformation Integrator

A leader who enables the CRO to win in the market and supports the CEO/President in transforming the organization.

Core Objective

Turn internal capabilities into market-winning propositions and scalable transformation models.

1

Enabling the CRO: From Relationships to Market Leadership

The CRO's success is no longer dependent only on relationships. It depends on differentiated propositions, a clear point of view on AI transformation, and confidence in execution backed by capability and delivery.

What This Role Enables

  • Creating ready-to-sell AI-led propositions
  • Converting practice capabilities into industry narratives
  • Supporting large deal shaping (RFPs, transformation deals)
  • Bringing credibility in CXO conversations

The Outcome

  • CRO moves from hunter to trusted transformation partner
  • Deals anchored in business outcomes, not headcount
  • Shortened sales cycles through proposition clarity
CRO transforms from hunter → trusted transformation partner
2

Supporting CEO/President: Driving Business Transformation

The CEO/President's agenda in IT services is shifting to reimagining the services portfolio, driving AI-led efficiency and growth, and balancing people, platform, and profit.

What This Role Provides

  • Translating strategy into execution frameworks
  • Driving AI adoption across the organization
  • Creating repeatable transformation playbooks
  • Aligning CPO, Practice, and Delivery into one system

The Outcome

  • Organization moves from running a business to reinventing one
  • Strategy doesn't stall at the leadership layer
  • AI adoption becomes measurable, not aspirational
Organization shifts from running a business → reinventing a business
3

Transforming Practices: From Capability to Thought Leadership

Practices can no longer be internal capability units. From "We implement SAP efficiently" to "We reimagine enterprise workflows using AI" — the shift requires first-principles thinking at scale.

This Role Drives

  • First-principles thinking across service lines
  • Industry-specific transformation narratives
  • AI-native solution architectures
  • Stronger alignment with alliances and ecosystem

The Outcome

  • Practices become market-facing, not internal-only
  • Thought leadership drives inbound pipeline
  • Alliances deepen with AI-era relevance
Practices become market-facing, not just internal capability units
4

Redefining Delivery: Humans + Agents

Delivery is undergoing the biggest disruption — from human-heavy teams to hybrid teams where humans and AI agents collaborate as first-class peers.

This Role Enables

  • AI-assisted SDLC methodologies
  • Agentic workflows across delivery pipelines
  • New delivery methodologies for hybrid teams
  • Experience-led delivery, not just output-led

The Outcome

  • Delivery becomes a differentiator, not a cost center
  • Margin expansion through agent leverage
  • Quality and speed as simultaneous advantages
Delivery becomes a differentiator → not a cost center
5

Reimagining GTM and Pricing Models

From Time & Material to outcome-based, IP-led, and agent-leveraged — pricing models must evolve to reflect value, not effort.

This Role Defines

  • Pricing models for agents and accelerators
  • Reusable AI assets in service portfolio
  • ROI-driven storytelling for clients

The Outcome

  • Shift from effort pricing to value pricing
  • IP assets generate recurring revenue streams
  • Clients buy outcomes, not headcount
Shift from effort pricing → value pricing
6

Building the AI Ecosystem

Partnerships are changing. Earlier: partner with established enterprise vendors. Now: engage early with AI-native startups and become the professional services arm of the AI economy.

This Role Drives

  • Early-stage ecosystem building
  • Becoming the professional services arm of AI companies
  • Strong alliances across the full AI stack

The Outcome

  • Access to the latest innovation before the market matures
  • Preferred partner status with emerging AI leaders
  • Differentiated go-to-market through co-innovation
Access to innovation before the market matures
7

Staying Close to Technology and Innovation

The AI stack — models, frameworks, agents, infrastructure — is evolving faster than any previous technology wave. Organizations that wait to learn fall permanently behind.

This Role Requires

  • Continuous learning and market sensing
  • Strong presence in innovation hubs like the Bay Area
  • Ability to translate tech shifts into business impact

The Outcome

  • Organization stays ahead of the curve, not behind it
  • Leadership speaks the language of clients and engineers equally
  • Tech shifts become revenue opportunities, not threats
Organization stays ahead of the curve, not behind it
8

Staying Close to the Client

Every client's AI journey is different. Generic transformation frameworks fail. Deep empathy for the client's context — their pain points, their board's priorities, their competitive pressures — is the real differentiator.

This Role Ensures

  • Deep understanding of client pain points
  • Tailored solutions, not templated offerings
  • Continuous engagement with CXOs

The Outcome

  • Shift from service provider to transformation partner
  • Client stickiness driven by impact, not contract lock-in
  • Higher NRR and expansion through genuine value creation
Shift from service provider → transformation partner
Why This Role is Critical Now

The Difference This Role Makes

Without This Role

  • Sales outpace delivery capability
  • Practices innovate, but don't influence revenue
  • Delivery executes but doesn't differentiate
  • Strategy and execution remain disconnected
  • AI transformation stays aspirational, not operational

With This Role

  • CRO gets winning, differentiated propositions
  • President/CEO gets organizational transformation
  • Clients get real, measurable business impact
  • Capabilities convert into market-facing growth
  • The organization becomes AI-era ready — not AI-era reactive
This role is the bridge that converts capability into growth and delivery into differentiation in the AI era.
Samir Deolikar · San Francisco Bay Area