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AI DevelopmentConsulting & Strategy

Your AI Strategy
Before the First
Line of Code

We work with your leadership team to identify the highest-ROI AI opportunities, build a phased implementation roadmap, and ensure you avoid the six most expensive AI mistakes — before you commit a single rupee to development.

50+AI Strategies delivered across sectors
380%Average ROI clients see in year 1
6 weeksFrom engagement start to board-ready strategy
More AI projects succeed with upfront strategy vs ad-hoc
See AI Products We Built
50+
AI Strategies delivered across sectors
380%
Average ROI clients see in year 1
6 weeks
From engagement start to board-ready strategy
More AI projects succeed with upfront strategy vs ad-hoc
AI Maturity Model

Where Does Your Organisation Sit Today?

Every business is somewhere on this 5-stage AI maturity spectrum. Knowing your stage determines which moves give you the most leverage — and which mistakes to avoid.

Stage 1
Ad-hoc

"Using AI tools individually, no strategy"

You're here if…
Teams using ChatGPT personally, not systematically
No AI policy or governance in place
Leadership unsure where AI fits in the business
No measurement of AI impact or ROI
Risk at This Stage

Competitors building AI advantages while you experiment randomly

Path to Next Stage
AI mentioned in strategy documents and OKRs
One or two ad-hoc AI pilots underway
Budget discussions started but not committed
How We Help at This Stage

Full AI strategy from scratch — opportunity mapping + roadmap

Recommended Engagement

AI Strategy Sprint — 2 weeks to a complete roadmap and prioritised use case list.

Common Mistakes

The 6 Most Expensive AI Mistakes We See — and How We Prevent Them

These are not hypothetical. Each pattern below cost a real company millions and months — and is entirely avoidable with upfront strategy.

Mistake #1
Starting with technology, not the problem

Companies announce "we're implementing AI" before identifying what business problem they're solving — then discover the technology was the answer looking for a question.

Typical Cost

Average: 6–12 months and ₹50L–₹2Cr sunk before pivot

How We Prevent It

Every engagement starts with a business problem audit. We refuse to recommend a technology until we understand the measurable outcome you need.

Starting with technology, not the problem
Underestimating data readiness
Building what you should buy (or vice versa)
No AI governance or ethics framework
Treating AI as a one-time project
Ignoring change management
The Pattern We See
Month 1–2
Excitement — leadership announces AI initiative
Month 3–5
Friction — unexpected blockers emerge mid-build
Month 6–9
Crisis — costly pivots or full restart required
With strategy
Blockers identified and planned for before build starts
What You Receive

6 Concrete Deliverables — Not Slides, Real Documents

Every engagement ends with documents you can act on — present to your board, hand to your engineering team, or use to justify your AI budget.

AI Opportunity Matrix
Structured spreadsheet + narrative20–30 rows

Every viable AI use case for your business scored across four dimensions: business value (1–10), implementation complexity (1–10), data readiness (1–10), and strategic fit (1–10). Prioritised into a 4-quadrant "Quick Wins vs Strategic Bets" view.

Used For

Board presentations, budget allocation, team prioritisation, roadmap input

Complete Deliverable Set
AI Opportunity Matrix
Structured spreadsheet + narrative · 20–30 rows
12-Month AI Roadmap
Visual roadmap + milestone doc · 15–25 pages
Data Readiness Report
Audit report + action plan · 10–20 pages
Build vs Buy Assessment
Decision framework + recommendation · 8–12 pages
AI Governance Framework
Policy document + process guidelines · 12–18 pages
ROI Projection Model
Financial model (Excel/Sheets) · Live model
Who This Is For

Built for the People Responsible for AI Decisions

Different roles have different AI challenges. Here is how we add value specific to your position.

CTO / VP Engineering
Your Challenge

"The board is asking "what's our AI strategy?" and you need a credible, costed answer — fast."

How We Help

We give you a defensible technical roadmap, vendor assessment, and ROI model you can present to the board with confidence — without months of internal research.

Typical Asks from CTO / VP Engineering
Architecture decisions for AI infrastructure
Build vs buy framework for AI capabilities
Team upskilling roadmap
AI governance and security policy
Engagement Fit
AI Strategy Sprint
2 weeks
Comprehensive AI Audit
4–6 weeks
Fractional AI Officer
Ongoing — 3–12 months
The Workshop

What Happens in the 2-Day Discovery Workshop

The workshop is the foundation of every engagement — four structured sessions that move from business context to a draft AI roadmap in 48 hours.

01
Morning, Day 1
Business Context & Goals
Business model, revenue drivers, and cost structure review
Top 5 strategic priorities for the next 18 months
Current technology stack and data landscape
Competitive positioning and differentiation
Session Output
Business context document — the foundation for every AI decision that follows
02
Afternoon, Day 1
Pain Point & Opportunity Mapping
Department heads present top 3 operational bottlenecks
Customer experience friction points inventory
Revenue opportunities currently missed due to capacity
Data assets currently underutilised
Session Output
Raw opportunity list — 20–40 candidate AI use cases before prioritisation
03
Morning, Day 2
AI Literacy Calibration
What AI can and cannot do — honest capability overview
Competitor AI landscape (what your industry is actually doing)
Review of 3–5 case studies from similar businesses
Common pitfalls and failure modes — the mistakes workshop
Session Output
Aligned, realistic understanding of AI potential across the leadership team
04
Afternoon, Day 2
Prioritisation & Roadmap Draft
Score each use case on the 4-dimension matrix (live)
Classify into Quick Wins, Strategic Bets, Explore Later, Skip
Sequencing based on dependencies and resource constraints
First draft of 12-month roadmap timeline
Session Output
Prioritised use case shortlist + draft roadmap — refined post-workshop into final deliverables
Engagement Formats

Three Ways to Work With Us

From a focused 2-week sprint to ongoing fractional AI leadership — choose the depth that matches your need.

AI Strategy Sprint
2 weeks
Remote + 1 on-site workshop
Best For

Companies that need a complete AI strategy quickly — board deadline, funding round, or competitive pressure

How It Runs
Day 1–2: Discovery workshop (leadership team)
Day 3–7: Research, benchmarking, use case mapping
Day 8–12: Roadmap, deliverables, financial model draft
Day 13–14: Presentation, Q&A, revision
Deliverables
AI Opportunity Matrix12-Month RoadmapROI Projection ModelExecutive Presentation
Team involved: CEO/CTO + 3–4 functional heads
Most Chosen
Comprehensive AI Audit
4–6 weeks
Hybrid — workshops + async research
Best For

Enterprises that want a thorough, board-ready AI strategy with full governance and vendor assessments

How It Runs
Week 1: Executive discovery + department interviews
Week 2: Data audit + technical assessment
Week 3: Use case deep-dives + vendor research
Week 4–5: All 6 deliverables drafted
Week 6: Review, revisions, final presentation
Deliverables
All 6 deliverablesGovernance frameworkData readiness reportBuild vs buy assessment
Team involved: Full leadership team + technical leads + data owners
Fractional AI Officer
Ongoing — 3–12 months
Weekly calls + Slack access + monthly on-site
Best For

Companies that want ongoing AI leadership without hiring a full-time Chief AI Officer

How It Runs
Weekly 60-min strategy call with founding team
Unlimited async questions (Slack/email)
Monthly on-site workshop (1 day)
Quarterly AI strategy review and roadmap update
Vendor negotiation support
Team AI training sessions (quarterly)
Deliverables
Living AI roadmapMonthly strategy memoVendor shortlistsTeam training materials
Team involved: Embedded alongside your leadership team
Free Discovery Call — 45 Minutes

Tell Us Where You Are.
We'll Map Where to Go.

A free 45-minute call where we assess your current AI maturity, identify your highest-ROI opportunity, and give you an honest recommendation on which engagement makes sense — or whether you need us at all.

Explore Generative AI
FAQs

Frequently Asked Questions

Questions about AI strategy, consulting process, deliverables, and how we work — answered directly.

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