AI Production Readiness & Governance Review
Up to three AI use cases scored against CLEAR, with a heatmap, ranked gaps, a 90-day plan and an executive readout.
₹75K–1.25L · $1.5–3K · 5–7 daysView the ReviewServices
From AI ambition to measurable enterprise outcomes.
We work alongside CEOs, CIOs, CTOs and boards to shape the enterprise AI agenda — converting strategic intent into decisions, capability and value the P&L can defend.
Start here
Fixed-scope engagements
AI Gateway & Governance Sprint
Your full AI stack inventoried and stress-tested, with a vendor lock-in blueprint and a board-ready remediation plan.
₹7.5–12.5L · $9–15K · 2 weeksView the SprintThree pillars, one continuum
Strategy, transformation and enablement — engineered as one practice.
Enterprise AI stalls when advisory, delivery and enablement are handed off between firms. We run them as a single advisory arc, so investment compounds into durable enterprise capability.
Pillar 01 · Strategy & Advisory
Set the direction the board can back.
Translate AI ambition into a defensible enterprise strategy — anchored in business outcomes, portfolio priorities and responsible-AI posture.
Enterprise AI Strategy
Business challenge
AI investment is scattered across functions with no unifying thesis, leaving leadership unable to defend where the enterprise is placing its bets.
Business outcomes
- A board-ready AI thesis tied to P&L and growth priorities
- Portfolio view of where AI creates competitive advantage
- Clarity on build, buy and partner posture
Executive deliverables
- · Enterprise AI strategy document
- · Investment thesis and portfolio map
- · Executive alignment playback
Ideal stakeholders
CEO, CIO, CTO, CDO, Strategy Office
Engagement format
6–8 week advisory engagement
AI Opportunity Discovery
Business challenge
Business units generate long lists of AI ideas, but leadership lacks a rigorous way to separate signal from noise.
Business outcomes
- Prioritised shortlist of high-value AI opportunities
- Value, feasibility and risk scored per opportunity
- Sequenced view of quick wins versus strategic bets
Executive deliverables
- · Opportunity register with business cases
- · Value–feasibility–risk scoring model
- · Executive prioritisation workshop
Ideal stakeholders
Business unit leaders, CDO, COO, Innovation Heads
Engagement format
4–6 week discovery sprint
Executive AI Roadmaps
Business challenge
Ambition outpaces execution because there is no sequenced plan the organisation can actually deliver against.
Business outcomes
- Twelve to twenty-four month AI roadmap owned by leadership
- Capability, capacity and funding aligned to milestones
- Clear decision gates and success metrics per phase
Executive deliverables
- · Multi-horizon AI roadmap
- · Capability and investment plan
- · Executive scorecard and cadence
Ideal stakeholders
CIO, CTO, CFO, Transformation Office
Engagement format
6 week roadmap engagement
AI Governance & Responsible AI
Business challenge
Regulators, auditors and customers demand assurance, yet governance is treated as an afterthought behind pilots.
Business outcomes
- Operating model that keeps AI safe, auditable and accountable
- Confidence with regulators, customers and the board
- Faster approvals through a repeatable review path
Executive deliverables
- · Responsible AI principles and policy set
- · AI risk and review operating model
- · Governance council charter and cadence
Ideal stakeholders
Risk, Legal, Compliance, CISO, CIO, CDO
Engagement format
8–10 week governance design
Pillar 02 · Transformation & Delivery
Turn the strategy into enterprise capability.
Move from isolated pilots to durable enterprise capability — programmes designed for adoption, measurement and scale.
AI Transformation Programs
Business challenge
Pilots multiply, but few graduate into workflows that finance can defend or the enterprise can rely on.
Business outcomes
- Portfolio of AI programmes delivering measured business value
- Consistent delivery discipline across business units
- Executive confidence in pace, quality and risk posture
Executive deliverables
- · Programme design and governance
- · Value tracking and benefits realisation model
- · Executive steering cadence
Ideal stakeholders
Transformation Office, CIO, COO, Business Unit CEOs
Engagement format
6–12 month programme engagement
Enterprise Knowledge & RAG Strategy
Business challenge
Enterprise knowledge is fragmented across systems, so AI assistants answer with generic content instead of trusted enterprise truth.
Business outcomes
- AI answers grounded in the enterprise's own trusted knowledge
- A shared knowledge foundation reused across use cases
- Reduced risk of hallucination and reputational exposure
Executive deliverables
- · Enterprise knowledge architecture
- · Content, ownership and stewardship model
- · Reference blueprint for retrieval-based AI
Ideal stakeholders
CIO, CDO, Enterprise Architecture, Knowledge Leaders
Engagement format
8–10 week strategy engagement
Agentic AI Adoption Strategy
Business challenge
Leaders see the promise of AI agents but lack a considered view of where to deploy them, how to govern them and what work they should own.
Business outcomes
- Clear enterprise stance on where agents create value
- Guardrails and human-in-the-loop principles by domain
- Adoption plan that protects trust and brand
Executive deliverables
- · Agentic AI opportunity map
- · Operating principles and control framework
- · Executive adoption playbook
Ideal stakeholders
CIO, CTO, Operations, Risk, Business Leaders
Engagement format
6–8 week advisory sprint
Business Process Transformation
Business challenge
AI is layered onto broken processes, replicating inefficiency instead of unlocking a step change in performance.
Business outcomes
- Reimagined end-to-end processes with AI at the core
- Measured productivity, cycle-time and quality gains
- Change adopted by the people who run the work
Executive deliverables
- · Target operating model for priority processes
- · AI-enabled process blueprints
- · Adoption and change plan
Ideal stakeholders
COO, Function Heads, Transformation Office
Engagement format
10–16 week transformation engagement
Pillar 03 · Capability & Enablement
Build the leadership and organisation to sustain it.
AI value compounds when leaders, teams and operating models mature together — enablement designed for executives and the enterprise, not individual learners.
Executive Advisory
Business challenge
Executives face AI decisions weekly but rarely have a trusted, independent thinking partner outside their organisation.
Business outcomes
- A sharper, more confident executive point of view on AI
- Better decisions on investment, partners and posture
- Faster resolution of contentious AI issues at the top table
Executive deliverables
- · Monthly executive advisory sessions
- · On-call thinking partnership on live decisions
- · Curated intelligence briefings
Ideal stakeholders
CEO, CIO, CTO, CDO, Board members
Engagement format
6 or 12 month retainer
Leadership Workshops
Business challenge
Senior teams talk about AI in different languages, slowing decisions and diluting the enterprise agenda.
Business outcomes
- Shared executive vocabulary and mental models for AI
- Alignment on ambition, priorities and non-negotiables
- Measurable lift in leadership confidence and pace
Executive deliverables
- · Custom executive workshop design
- · Facilitated sessions with pre- and post-work
- · Playback and commitments document
Ideal stakeholders
Executive Committees, Boards, Leadership Teams
Engagement format
1–2 day tailored workshop
Corporate AI Training
Business challenge
Generic AI training fails to translate into how people actually work — and rarely moves the numbers the CFO cares about.
Business outcomes
- Enterprise-wide AI fluency tied to real workflows
- Measurable adoption and productivity uplift
- A confident, responsibly-behaving AI workforce
Executive deliverables
- · Role-based learning journeys
- · Custom cases drawn from the client's context
- · Adoption metrics and reporting
Ideal stakeholders
CHRO, CLO, Business Unit Leaders, CIO
Engagement format
Multi-cohort programme, 8–16 weeks per wave
AI Center of Excellence Enablement
Business challenge
AI capability sits with a handful of specialists, creating bottlenecks and single points of failure across the enterprise.
Business outcomes
- A functioning AI CoE with clear mandate and value
- Reusable patterns, standards and enablement across BUs
- Faster, safer delivery without central bottlenecks
Executive deliverables
- · CoE charter, operating model and roles
- · Standards, patterns and enablement library
- · Value and maturity scorecard
Ideal stakeholders
CIO, CDO, CTO, HR, Transformation Office
Engagement format
12–24 week enablement engagement
Corporate AI Training
Executive enablement, not software training.
Three learning journeys designed for the enterprise — from workforce fluency to executive decision-making. Every cohort is tailored to the client's context, tied to business outcomes and delivered personally — no junior handoff.
Level 01
AI Foundations for Business
All employees and business teams — the everyday operators of the enterprise.
Outcome
A workforce of confident, responsible AI users.
Workshop format
Executive-led kickoff, facilitated workshops, applied practice clinics, adoption checkpoints
Recommended duration
Recommended 4–6 weeks per cohort
Curriculum modules
- 01Cultivating an AI mindset at work
- 02Enterprise AI in context — business use cases
- 03Responsible AI and enterprise trust
- 04Prompt thinking as a business skill
- 05AI-augmented personal productivity
- 06Collaboration and shared ways of working
- 07Change readiness and adoption habits
Learning objectives
- Build a shared language for AI across the organisation
- Equip employees to use AI safely in daily work
- Translate AI into practical productivity gains
Business outcomes
- Measured productivity uplift at the team level
- Faster, broader adoption of enterprise AI tools
- Reduced risk from unstructured, informal AI use
Level 02
AI Transformation Practitioner
Managers, product owners, innovation teams and business analysts — the people who design and defend AI initiatives.
Outcome
A cadre of AI transformation champions across the business.
Workshop format
Cohort learning, live business case labs, executive review checkpoints, cross-functional pods
Recommended duration
Recommended 6–10 weeks per cohort
Curriculum modules
- 01Identifying and framing AI opportunities
- 02Workflow redesign for AI-native operations
- 03Building business cases finance can defend
- 04AI governance in day-to-day delivery
- 05Designing adoption strategies that stick
- 06KPI definition and value tracking
- 07Cross-functional execution and change
Learning objectives
- Turn opportunities into credible, funded initiatives
- Lead adoption inside functions and business units
- Bridge business, technology and risk conversations
Business outcomes
- Higher throughput of successful AI initiatives
- Better use-case ROI and reduced pilot fatigue
- Stronger governance without slowing delivery
Level 03
Enterprise AI Leadership
CXOs, directors and senior leaders shaping the enterprise AI agenda.
Outcome
A leadership team of confident, decisive AI decision-makers.
Workshop format
Executive intensive, board-style dialogues, private advisory follow-ups
Recommended duration
Recommended 2–4 immersive days plus follow-through
Curriculum modules
- 01Enterprise AI strategy for the executive agenda
- 02Portfolio prioritisation and investment discipline
- 03AI governance, risk and regulatory posture
- 04Operating model choices at the top of the house
- 05Investment decisions and value defence
- 06Organisational transformation and talent implications
- 07AI risk management and reputational protection
- 08Owning and communicating the enterprise AI roadmap
Learning objectives
- Sharpen the executive point of view on AI
- Align the leadership team on ambition and posture
- Turn AI conversations into confident enterprise decisions
Business outcomes
- Faster, more disciplined AI investment decisions
- Reduced strategic and reputational risk
- A visibly AI-fluent leadership team
Enterprise engagement model
A considered path from first conversation to enduring partnership.
Most enterprises begin with the fixed-scope Readiness & Governance Review. The rest of the model unfolds as value is proven.
01
Discovery Workshop
A focused executive session to frame ambition, surface the real questions and align the leadership team on where AI matters most.
02
Strategy Sprint
A structured advisory engagement that produces a defensible AI thesis, priority portfolio and executive roadmap the board can back.
03
Pilot Enablement
Design and shape the first high-value initiatives so they graduate from proof-of-value into workflows that finance can defend.
04
Enterprise Rollout
Scale proven wins across the organisation — reusable patterns, enablement waves and governance woven into everyday operations.
05
Continuous Advisory
An ongoing advisory partnership at the top table — thinking partner, external challenge and independent lens as the agenda evolves.
Fit call
Design your next twelve months of enterprise AI.
A focused 20-minute fit call with Prashant to see whether a Readiness Review or Sprint fits your situation, and what to do next if neither does. No pitch decks.
Direct channels
Typical response within one business day. For enterprise engagements, we'll follow up to schedule a scoping conversation.