Your competitors are shipping AI. You're still debating where to start.
Our AI Strategy & Diagnostic gives you a scored, ranked map of every AI opportunity in your business, with projected ROI, implementation timelines, and a clear recommendation on what to build first.
AI enthusiasm without AI clarity is expensive.
Everyone has an opinion, nobody has data
Your engineering team wants a chatbot. Your COO wants to automate approvals. Your CEO read about agentic workflows on LinkedIn. Nobody has done the math on which initiative will actually move the P&L.
Strategy decks that collect dust
You've already paid a Big 4 firm or a niche consultancy for an 'AI strategy.' What you got was 80 slides about industry trends and a recommendation to 'explore AI-driven customer insights.' No specificity. No business case. No roadmap anyone can actually execute. That deck is on a shared drive somewhere, unread since the executive presentation.
Pilot projects that never reach production
Gartner reports that over 80% of AI projects fail to reach production. The most common reason is not technical failure. It is picking the wrong problem. When you pick an AI use case based on what's trendy rather than what's valuable, you end up with a proof-of-concept that impresses in a demo and dies in procurement.
The cost of waiting is compounding
Every month you spend in analysis paralysis, a competitor ships something that raises customer expectations in your market. The operational savings you could be capturing are bleeding out as manual labor costs instead.
14 days. Four phases. One clear answer.
A rigorous diagnostic that produces a scored, prioritized roadmap your team can act on the day we leave the room.
Discovery & Immersion
Days 1-3
We embed with your leadership, operations, and technical teams. We conduct structured interviews with 6-10 key stakeholders, audit your data infrastructure and tech stack, map your core workflows end to end, and review how competitors are using AI. We are looking for three things: where you bleed time, where you bleed money, and where your data is rich enough to train or power an AI system.
Deliverable: Process audit document with annotated workflow maps and data readiness assessment
Analysis & AI Opportunity Matrix
Days 4-8
This is the analytical core of the engagement. We take every potential AI use case identified in Discovery and score it across three dimensions: business impact (revenue uplift or cost savings), technical feasibility (data availability, integration complexity, model maturity), and time to value (how quickly it can reach production and start delivering ROI). The output is our AI Opportunity Matrix: a scoring framework that replaces opinion with structured evaluation.
Deliverable: AI Opportunity Matrix: scored and ranked opportunities with detailed evaluation criteria
Recommendation & ROI Quantification
Days 9-12
We build the business case for your top 3-5 opportunities. This includes projected cost savings or revenue impact across three scenarios, estimated implementation cost and timeline, resource requirements (internal and external), risk factors and mitigation strategies, and a phased implementation roadmap that sequences initiatives so each one builds on the last. Every number is backed by methodology, not optimism.
Deliverable: Business case document with financial projections, implementation roadmap (phased), and risk assessment
Presentation & Handoff
Days 13-14
We present findings to your executive team in a session designed for decision-making, not information transfer. The deck is structured to answer one question: 'What do we build first, and why?' We walk through the Opportunity Matrix, defend our ranking, and present the business case. You leave with everything you need to brief your board, secure budget, and start, whether with us or on your own.
Deliverable: Executive presentation deck, complete documentation package, and proposal for build engagement (if applicable)
Discovery & Immersion
Days 1-3
We embed with your leadership, operations, and technical teams. We conduct structured interviews with 6-10 key stakeholders, audit your data infrastructure and tech stack, map your core workflows end to end, and review how competitors are using AI. We are looking for three things: where you bleed time, where you bleed money, and where your data is rich enough to train or power an AI system.
Deliverable: Process audit document with annotated workflow maps and data readiness assessment
Analysis & AI Opportunity Matrix
Days 4-8
This is the analytical core of the engagement. We take every potential AI use case identified in Discovery and score it across three dimensions: business impact (revenue uplift or cost savings), technical feasibility (data availability, integration complexity, model maturity), and time to value (how quickly it can reach production and start delivering ROI). The output is our AI Opportunity Matrix: a scoring framework that replaces opinion with structured evaluation.
Deliverable: AI Opportunity Matrix: scored and ranked opportunities with detailed evaluation criteria
Recommendation & ROI Quantification
Days 9-12
We build the business case for your top 3-5 opportunities. This includes projected cost savings or revenue impact across three scenarios, estimated implementation cost and timeline, resource requirements (internal and external), risk factors and mitigation strategies, and a phased implementation roadmap that sequences initiatives so each one builds on the last. Every number is backed by methodology, not optimism.
Deliverable: Business case document with financial projections, implementation roadmap (phased), and risk assessment
Presentation & Handoff
Days 13-14
We present findings to your executive team in a session designed for decision-making, not information transfer. The deck is structured to answer one question: 'What do we build first, and why?' We walk through the Opportunity Matrix, defend our ranking, and present the business case. You leave with everything you need to brief your board, secure budget, and start, whether with us or on your own.
Deliverable: Executive presentation deck, complete documentation package, and proposal for build engagement (if applicable)
Six deliverables. Zero filler.
Discovery & Analysis (Days 1-8)
- Process audit document with end-to-end workflow maps for every department assessed
- Data readiness assessment covering infrastructure, quality, accessibility, and governance gaps
- AI Opportunity Matrix with every use case scored across impact, feasibility, and time-to-value
Recommendation & Handoff (Days 9-14)
- Business case with projected savings/revenue for top 3-5 opportunities (three scenarios each)
- Phased implementation roadmap with sequencing, dependencies, resource requirements, and milestones
- Executive presentation deck built for board-level decision making
Bonus (if proceeding to build)
- Proposal for build engagement with fixed scope, timeline, and pricing based on diagnostic findings
This engagement is diagnostic. Here's what comes next.
We scope tightly so you pay only for what you need at this stage.
Building or deploying any AI tools or software
The diagnostic tells you what to build. The building itself is a separate engagement with its own scope, timeline, and team allocation.
Custom AI Tool DevelopmentGo-to-market strategy or demand generation
If your AI opportunity is customer-facing, you will eventually need a growth engine behind it. We handle that separately.
Growth & MarketingOngoing operational automation or workflow buildout
The diagnostic may surface automation opportunities that don't require AI at all. Those are scoped separately.
Operations AutomationIs this the right fit?
Right for you if
- You're a mid-market company (50-500 employees, INR 10Cr+ revenue) that knows AI matters but hasn't committed to a specific initiative yet, and you want a structured, data-driven way to decide.
- You've attempted an AI project before that stalled or underdelivered, and you want to understand why before investing again.
- You need internal alignment. Your board, CTO, and operations lead all have different AI priorities, and you need an outside assessment to settle the question.
Not right if
- You already know exactly what you want to build and just need a development team, go directly to our Custom AI Tool Development service.
- You're looking for a free or low-cost AI 'audit' with no commitment. We invest significant senior time in every diagnostic, and our pricing reflects that.
What this looks like in practice.
Problem
A mid-market NBFC with 300+ employees was evaluating AI across five departments simultaneously: underwriting, collections, customer service, compliance, and marketing. Each department head had a different priority. The CTO was fielding vendor pitches weekly and had no framework for comparing them.
What we did
Ran the full diagnostic. Interviewed 12 stakeholders, audited data across all five departments, and scored 18 potential AI use cases through our Opportunity Matrix. Found that underwriting automation had 4x the ROI of the next-best option and could be deployed in 8 weeks using existing data.
Outcome
The executive team aligned on underwriting automation as the first initiative within a week of our presentation. The build engagement began 10 days later. Estimated annual savings: INR 1.8 Cr.
Problem
A SaaS company serving the logistics sector had plateauing growth and rising support costs. The CEO wanted to 'add AI to the product' to justify a pricing increase and reduce churn. No clear idea of what that meant in practice.
What we did
Conducted discovery focused on the product roadmap, customer support ticket analysis, and competitor positioning. The Opportunity Matrix revealed that the highest-impact use case wasn't product-facing at all. It was an internal AI-powered support triage system that could reduce first-response time by 70% and free up the support team to focus on expansion revenue.
Outcome
Client pivoted from a vague 'AI product feature' plan to a focused support automation initiative. Implementation cost was one-third of the original product AI estimate, with faster time to value.
Problem
A diagnostic chain with 50+ centres was losing operational efficiency as it scaled. Report turnaround times were increasing, radiologist utilization was suboptimal, and patient communication was entirely manual.
What we did
Mapped the full patient flow from booking through report delivery. Identified six AI-applicable touchpoints. The Opportunity Matrix ranked AI-assisted preliminary report generation and automated patient communication as the top two initiatives, both high-impact and both feasible with existing data.
Outcome
The chain greenlit both initiatives in sequence. Combined projected impact: 35% reduction in report turnaround time and INR 90L annual savings in patient communication costs.
What a diagnostic engagement looks like end to end.
INR 1.8 Cr projected annual savings identified in 14 days
A lending platform with 200+ employees and INR 400 Cr in annual loan disbursements engaged us because they were paralyzed by choice: five departments, eighteen potential AI use cases, and a board that wanted to see a clear investment thesis before committing budget. We ran the full diagnostic in 14 days. The Opportunity Matrix scored underwriting document automation as the clear leader: high data readiness, proven model availability, 85% of the workflow automatable, and a projected INR 1.8 Cr in annual savings from reduced manual processing. The executive presentation aligned the board in a single session. The build engagement started within two weeks of diagnostic completion.