AI Product Strategist · CBAP® · CCBA® · Creator of Business-First AI™
Vikrant Chauhan — AI Product Strategist, CBAP® & CCBA® certified. Creator of Business-First AI™.
I'm Vikrant Chauhan — AI Product Strategist and creator of Business-First AI™, the methodology for building AI products that start with business problems, not technology. CBAP® & CCBA® certified · 6+ years across healthcare, SaaS, and fintech.
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The Real Problem
Sound familiar?
These aren't technology problems. They're alignment, clarity, and structure problems — and they compound every quarter you don't address them.
Technology chosen before the problem is defined
The team selects an LLM or automation tool in week one. Six months later, nobody can explain which business problem it was supposed to solve — or whether it solved it.
AI pilots that never reach production
A successful proof of concept sits in a spreadsheet for six months. Nobody can agree on scope, ownership, or what production-ready actually means for an AI system.
Requirements that keep changing after build starts
Stakeholders say one thing in discovery and another in review. Engineering builds the wrong thing. Sprints slip. Nobody knows whose version of the truth is correct.
No structured way to measure AI product value
The AI feature shipped. But three months later, nobody can show a business outcome. Impressions, model accuracy, and demo videos — none of it maps to revenue or cost.
These are not technology problems. They are methodology problems — and Business-First AI™ is built to solve them.
The Methodology
Business-First AI™
A 7-stage framework for building AI products from validated business problem to measured business outcome. Every stage produces a defined deliverable. No stage is skipped.
Featured Case Studies
Result
Reduced projected database workload by 80%, improved critical processing workflows by up to 100x , and significantly lowered infrastructure scaling costs. Enabled support for 50,000+ organizations and 1B+ task events, while improving dashboard, risk detection, and escalation processing performance by 90–99%.
Campaign Sentinel – SaaS Database Scalability & AI Readiness Transformation
Result
Reduced operational risk by 35% and improved early detection rates by 50%.
AI Healthcare Risk Platform
Result
Increased conversion rates by reducing price-related drop-offs. Improved customer retention through personalized deal experiences. Enhanced customer satisfaction and engagement. Reduced cart abandonment and customer churn. Created a unique competitive advantage in the e-commerce market.
Revolutionising E-Commerce Through Real-Time Negotiation
Client Testimonials
“Vikrant Chauhan has done an exceptional job as an AI strategist. He helped us overcome critical business challenges and identified key areas of revenue leakage that were directly impacting our growth. His targeted and forward-thinking approach enabled us to streamline our processes and move in a more sustainable direction.”
Akshay Kumar
Co-Founder & CEO · Spillmate Innovations Pvt. Ltd.
“Google workspace migration to Microsoft 365 done by Vanixqbit for OTBL”
Vir Bahadur Singh
Sr. System Administrator · The Energy and Resources Institute
“Vikrant provided exactly the kind of high-level product insight I was missing. He helped me shift my perspective from just writing code to understanding the business problems we are actually solving. No YouTube video or article compares to the clarity he provides. A truly great mentor”
Sanchit Bajaj
Software Engineer · Infozech Solutions Private Limited
Worked with me? Share your experience →
How We Work Together
Choose the right engagement model
From validated business problem to shipped AI product — using the Business-First AI™ methodology.
AI Readiness Audit
1–2 weeks
A structured assessment of your data maturity, process readiness, and team capability for AI adoption. You get a clear, prioritised roadmap — not a pitch deck.
- 2-hour structured discovery session
- AI Readiness Score across 5 dimensions
- Gap analysis and risk register
- Prioritised opportunity backlog (3–5 use cases)
- Written report with 90-day quick-win plan
Ideal for: Companies exploring AI for the first time, or after a failed initiative
Book Discovery CallAI Strategy Sprint
4 weeks
A focused 4-week engagement to define your AI product strategy, select and validate use cases, and build a business-aligned implementation roadmap your team can execute immediately.
- Stakeholder interviews (up to 6 sessions)
- Requirements documentation (BRD + FRS)
- AI use case scoring matrix
- Implementation roadmap with milestones
- KPI framework and success metrics
- Handoff-ready documentation
Ideal for: Product teams with AI budget but no clear strategy or execution plan
Book Discovery CallTransformation Retainer
3-month minimum
Ongoing embedded consulting — I work as your fractional AI Strategy + Business Analysis lead, attending standups, reviewing deliverables, and keeping your product on track through the full build cycle.
- Dedicated async support (Slack/email)
- Weekly strategy session (60 min)
- Continuous requirements management
- Vendor and tool evaluation
- Stakeholder communication support
- Monthly impact review and re-prioritisation
Ideal for: Scale-ups building AI products who need a strategic partner, not just a contractor
Book Discovery CallGuarantee: If the first session doesn't give you at least one actionable insight you can implement this week, you don't pay.
Free Resources
Get the frameworks used in real client engagements
These aren't generic templates from a Google search. They're the exact tools used to run AI readiness assessments, structure requirements, and prioritise backlogs for healthcare, SaaS, and fintech teams. Free, no paywall.
Score your organisation across 5 dimensions before any AI investment.
Measure completeness and traceability before handing off to engineering.
RICE + MoSCoW + impact-effort scoring in one structured template.
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View Frameworks LibraryBusiness-First AI™ — the weekly dispatch
Frameworks, methodology notes, and AI product strategy from the creator of Business-First AI™. For product teams and strategists who build AI that actually ships.
Where to Start
AI Use Cases by Industry
Practical AI strategy for your sector — from readiness to implementation.
Tools & Tech Stack
Expertise Pyramid
Built around AI Product Strategy
Every secondary and supporting skill exists to serve the primary expertise. AI Product Strategy is where all the work converges.
AI Product Strategy
Defining what AI to build, why, and in what order — using Business-First AI™ to validate opportunities before committing resources.
Business Analysis for AI
CBAP® & CCBA® certified requirements engineering applied to AI product development — translating business problems into structured specifications.
AI Product Engineering
End-to-end AI product build across the D4–D5 stages: model selection, data pipelines, integration architecture, and quality gates.
Product Discovery
Structured customer research, assumption mapping, and opportunity validation before a single line of code is written.
AI Transformation
Guiding organisations from AI readiness assessment through to scaled deployment — with governance, change management, and outcome tracking.
Requirements Engineering
BRDs, PRDs, FRS documents, and user story maps — structured to the IIBA BABOK® v3 standard across Agile and Waterfall delivery.
Stakeholder Management
Structured discovery workshops, RACI alignment, and consensus-building across conflicting priorities in complex multi-team programmes.
Product Operations
KPI frameworks, dashboard design, and continuous measurement systems that connect AI product metrics to business outcomes.
All expertise is applied through the Business-First AI™ methodology — not as isolated skills.
Ready to build AI products the right way?
Book a free discovery call to discuss how Business-First AI™ applies to your organisation, product, or challenge.