AI Consulting & Strategy: From Readiness to Roadmap
Practical AI consulting for Indian businesses: readiness assessments, roadmaps, vendor evaluation, and ROI analysis. Turn AI ambition into a funded, phased implementation plan.
Service Overview
Most Indian businesses know AI matters but stall at the same question: where do we start, and what is it worth? Our AI consulting practice closes that gap. We assess your data maturity, map high-value use cases against effort and risk, evaluate vendors against your real requirements instead of a demo deck, and produce a phased roadmap with budget, timeline, and ROI projections your CFO will accept. No hype, no science experiments, no six-figure slide decks that gather dust. Just a clear, sequenced plan that moves you from AI curiosity to deployed, measurable capability within one to two quarters. We work alongside your team so the knowledge stays in-house, and every recommendation is tied to a business metric you already track.
How We Work — Our Process
A structured, transparent engagement model that ensures delivery quality at every step.
Discovery & Assessment
We interview stakeholders, audit your data infrastructure, review existing workflows, and score your organisation across six maturity dimensions: data, talent, tooling, governance, budget, and culture. The output is a candid readiness scorecard that tells you what is actually possible today versus what needs shoring up first.
Week 1Use Case Identification
Through workshops with business and technical teams, we surface and prioritise 30-50 candidate AI use cases. Each is scored on value, feasibility, data readiness, and time-to-impact. You leave with a ranked backlog, not a wish list.
Week 2Vendor & Tool Evaluation
For the top use cases we evaluate commercial models, open-source options, and build-versus-buy trade-offs. You receive a side-by-side comparison covering capability, cost, integration effort, support, and lock-in risk, with a clear recommendation per use case.
Week 3Roadmap & Architecture Design
We sequence the prioritised use cases into a phased roadmap with dependencies, milestones, budget bands, and resource needs. A reference architecture shows how each initiative connects to your existing systems and data flows.
Week 4ROI & Business Case
Each roadmap phase gets a quantified business case: expected cost, projected savings or revenue, payback period, and sensitivity ranges. This is the document that gets AI funded inside your organisation.
Week 5Handover & Kickoff Support
We brief your leadership and delivery teams, transfer all artefacts, and optionally stay on to support vendor procurement, pilot scoping, and the first 30 days of implementation so the roadmap does not stall at execution.
Week 6Why Choose Us
Our key differentiators that set us apart in the AI services landscape.
Business-First, Not Tech-First
We start from your P&L and workflows, not from a model. Every recommendation traces back to a revenue, cost, or risk metric your board already cares about.
Vendor-Agnostic Evaluation
We do not resell any platform. Our shortlists compare OpenAI, Anthropic, Google, open-source, and Indian providers on your criteria, not our margins.
Quantified ROI, Not Vibes
Every use case carries a business case with cost, benefit, payback, and sensitivity. Your finance team can stress-test the numbers before approving a rupee.
Knowledge Transfer Built In
We work alongside your team and hand over every artefact: scorecards, roadmaps, vendor matrices, architectures. The capability stays in-house after we leave.
Six-Week Engagement, Not Six Months
Our structured sprint delivers a fundable roadmap in six weeks. You are not paying for a consulting relationship that drifts; you are paying for a decision-ready plan.
India-Calibrated Benchmarks
Our maturity scoring, cost bands, and vendor pricing reflect the Indian market: talent costs, data regulations, language needs, and rupee-denominated budgets.
What We Offer
Detailed breakdown of each offering within this service category.
AI Readiness Assessment
A structured audit of your data, talent, tooling, governance, and culture against AI maturity benchmarks. Delivers a scored scorecard, gap analysis, and a prioritised list of foundations to fix before you invest in AI.
- Maturity scorecard across 6 dimensions
- Data infrastructure gap report
- Prioritised remediation backlog
- Executive briefing deck
AI Roadmap Planning
A phased 12-18 month roadmap built from your prioritised use cases, with dependencies, milestones, budget bands, resource needs, and a reference architecture tying it all together.
- Prioritised use case backlog
- Phased roadmap with milestones
- Reference architecture diagram
- Budget and resourcing plan
AI Vendor Evaluation
Side-by-side comparison of commercial models, open-source options, and managed platforms against your real requirements: capability, cost, integration effort, support, compliance, and lock-in risk.
- Weighted vendor comparison matrix
- Total cost of ownership analysis
- Build-vs-buy recommendation per use case
- Procurement-ready shortlist
AI Strategy Workshop
A facilitated one or two day workshop with your leadership and technical leads to align on AI goals, surface and rank use cases, and build shared understanding of what AI can and cannot do for your business right now.
- Pre-read briefing pack
- Facilitated workshop sessions
- Ranked use case canvas
- Post-workshop alignment memo
AI ROI Analysis
A quantified business case for your top AI initiatives, with cost, projected benefit, payback period, and sensitivity ranges, built in a format your finance team can audit and approve.
- Per-use-case ROI model
- Cost and benefit assumptions log
- Sensitivity and risk analysis
- Board-ready business case deck
Technology Stack
The tools, platforms, and frameworks we use to deliver this service.
| OpenAI API | GPT-4o, o-series for reasoning and generation | Advanced |
|---|---|---|
| Anthropic Claude | Claude 3.5 Sonnet for long-context analysis | Advanced |
| Google Gemini | Gemini 1.5 Pro for multimodal and 2M context | Advanced |
| LangChain / LlamaIndex | Orchestration and retrieval scaffolding | Advanced |
| Hugging Face | Open-source model hosting and fine-tuning | Advanced |
| Azure OpenAI | Enterprise-grade OpenAI deployment with compliance | Intermediate |
| AWS Bedrock | Multi-model managed inference | Intermediate |
| Pinecone / Weaviate | Vector databases for retrieval use cases | Advanced |
| MLflow | Experiment tracking and model registry | Intermediate |
| Power BI / Tableau | Business intelligence and dashboard delivery | Advanced |
Use Cases & Industry Applications
Real-world scenarios where this service delivers measurable business impact.
Engagement Timeline & Impact Metrics
Project Timeline
| Phase | Duration | Key Deliverable |
|---|---|---|
| Discovery & Assessment | Week 1 | Readiness scorecard |
| Use Case Identification | Week 2 | Ranked use case backlog |
| Vendor & Tool Evaluation | Week 3 | Comparison matrix |
| Roadmap & Architecture | Week 4 | Phased roadmap |
| ROI & Handover | Weeks 5-6 | Funded business case |
Business Impact
| Metric | Before AI | After AI |
|---|---|---|
| Use case clarity | Ad hoc ideas | Ranked backlog of 30-50 |
| Vendor confidence | Demo-driven | Evidence-based shortlist |
| Budget approval rate | Low | High with ROI case |
| Time to first pilot | 6-12 months | 1-2 months |
| Internal alignment | Fragmented | Shared roadmap |
Our Capabilities
| Capability | Status |
|---|---|
| Readiness scoring | Included |
| Use case prioritisation | Included |
| Vendor comparison | Included |
| Reference architecture | Included |
| ROI business case | Included |
| Pilot kickoff support | Add-on |
Pricing & Packages
Transparent pricing for every engagement size. All packages include post-delivery support.
| Tier | Price | Timeline | Includes |
|---|---|---|---|
| Starter | ₹49,000 | 2 weeks | Readiness assessment + top 5 use case ranking |
| Growth | ₹1,49,000 | 4 weeks | Assessment + roadmap + vendor evaluation |
| Enterprise | ₹3,99,000 | 6 weeks | Full engagement + ROI case + handover support |
| Custom | On request | Flexible | Multi-business-unit or group-level strategy |
What Is Included
- Stakeholder interviews and data audit
- Maturity scorecard across 6 dimensions
- Prioritised use case backlog (30-50 items)
- Vendor comparison matrix
- Phased 12-18 month roadmap
- Reference architecture diagram
- Quantified ROI business case
- Executive briefing and handover
If the engagement does not produce a board-ready roadmap and ROI case by week six, we continue at no additional cost until it does.
Book a Free Consultation
Speak with our AI experts about your specific requirements. We will assess your needs, recommend the right approach, and provide a detailed proposal within 48 hours.
Book Your Free Consultation →Frequently Asked Questions
Do we need to have a specific AI project in mind before engaging?
No. Most clients start with a goal like 'reduce support costs' or 'improve forecasting' rather than a chosen model or vendor. The engagement is designed to take you from a vague ambition to a specific, funded plan.
Are you tied to any AI vendor or platform?
No. We do not resell or take referral fees from any provider. Our vendor evaluations compare commercial models, open-source options, and managed platforms on your criteria, not ours.
What if our data is not ready for AI?
That is exactly what the readiness assessment surfaces. If your data needs work first, the roadmap will sequence those foundations ahead of any AI build so you do not invest in a model that cannot perform.
How is this different from a generic consulting firm?
We are AI specialists, not generalists. Every artefact, benchmark, and comparison reflects current model capabilities and Indian market realities, not a template reused across industries.
Will the roadmap just sit on a shelf?
We design it to be executed. Each phase has an owner, budget band, and dependency map, and we offer optional kickoff support for the first 30 days so momentum does not stall after handover.
Can you work with our existing IT and data team?
Yes. We work alongside your team throughout, and knowledge transfer is built into every phase. The goal is to leave your organisation with the capability, not a dependency on us.
Do you sign NDAs and handle sensitive data?
Yes. We sign mutual NDAs as standard and follow strict data handling protocols. Where needed, assessments can run entirely within your environment without data leaving your perimeter.
What happens after the engagement ends?
You own all artefacts. We offer optional follow-on support for vendor procurement, pilot scoping, and implementation oversight, but there is no obligation to continue with us.
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