Ankit B.

🎯 Outcomes, not decks I help AI & B2B software teams go from "we have an idea" to a shipped product with measurable impact. My difference: I don't hand engineering a requirements doc and wait. I write the BRD, run it through a multi-model AI review to catch the gaps, and put a working prototype in your hands in days — so stakeholders click through the real thing instead of reading slide 14. 🏆 How I help 1. AI-native prototyping — BRD → validated spec → clickable working product. Recent example: a 50-requirement field workflow prototyped in ~1.5 hours, faster than the Figma mockup would have taken. 2. Strategic planning & execution — business goals turned into a focused roadmap with clear priorities and milestones. 3. Product management & Agile — clean backlogs, clear requirements, and a cadence where engineering always knows what "good" looks like. 4. Data-driven decisions — analytics, funnels, and experiments (A/B tests, cohorts) decide what gets built next. 5. Ownership end-to-end — ambiguous problems broken down, teams unblocked, outcomes owned — not tickets delivered. 📈 Outcomes in numbers • 0 → v1.0 in 3 months for an AI menu-intelligence platform, with 3 customers using it in production. • ~98% F1 across 100+ labels shipping legal AI — six-figure ARR per enterprise customer. • 78% increase in onboarding completion through analytics review and A/B testing. • 21% increase in ARR by introducing smart linkages between products in a B2B organization. • 57% improvement in project acceptance rate and 45% reduction in deliverable delays. • 7 product managers trained and mentored, from freshers to BAs to developers. 💼 Products I've shipped From B2C mobile to complex enterprise systems: AI/document intelligence (legal tech, menu intelligence), construction & field management (pipeline tracking, inventory, mobile field tools), social/matching apps, expense automation, and hardware-software products (smart displays, connected devices). The common thread: data-heavy workflows, multiple stakeholders, and a need for clear product thinking. 🔧 Tools & ways of working • AI building: Claude / Claude Code, Cursor, multi-model spec review (ChatGPT, Claude, Gemini, Perplexity), Vercel, Make • Delivery: Jira, Asana, Confluence, Productboard, Agile & Kanban • Everything I ship is validated with analytics and experiments, not opinions. If you have an AI or B2B software product and a specific metric you want to move (activation, MAU, ARR, or costs), send me a short note. I'll reply with 1–2 concrete ways I can help.