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Technical PM @ FuturePath.AI·AI Orchestration·9 Products in Production·Enterprise IT Automation·GenAI Integration·Product Strategy·B2B SaaS·Autonomous AI Agents·Technical PM @ FuturePath.AI·AI Orchestration·9 Products in Production·Enterprise IT Automation·GenAI Integration·Product Strategy·B2B SaaS·Autonomous AI Agents·

Product Leader — FuturePath.AI

The best systems don't just
process the world —
they understand it.

I build the ones that do.

I'm Surya Prakash — Technical PM at FuturePath.AI, owning 9 AI products and the orchestration platform they run on. I turn messy enterprise data into autonomous IT operations.

↯ Click anywhere to change the vibe

Service as a Software, AI Agent Orchestration, Product Strategy, MCP & RAG Systems, ITSM Automation, Data Quality, Enterprise SaaS, B2B Products

9 Products Owned, 96% Diagnostic Reduction, 90%+ Noise Elimination, 30-50% Auto-Resolution, 10-Engine CMDB System, 12 AI Agents Shipped

Featured Projects & Case Studies

Products and platforms I've built and contributed to

AI Architecture

CMDB Intelligence Engine

Conceived and architected a 10-engine system that cross-references CMDB data against live traffic, monitoring telemetry, and incident patterns — fixing the data foundation that makes enterprise AI trustworthy.

  • 10-engine system auto-discovering CMDB relationships from live traffic
  • Entity Resolution across 15-20+ monitoring tools
  • Fixes why 30% of enterprise AI projects fail after PoC
  • Confidence scoring from 60% → 99% per finding
Read Case Study
AI Architecture

Reality Correlation Engine

Conceived and architected an 11-engine system that validates ticket data against infrastructure reality — fixing the garbage data that prevents AI from auto-resolving tickets at scale.

  • 11-engine system validating ticket data against infrastructure reality
  • Fixes 20-40% miscategorized tickets and 50-60% empty resolution fields
  • Enables 60%+ AI auto-resolution at scale
  • Only end-to-end data quality pipeline in the market (paired with CMDB IE)
Read Case Study
AI Agents

Solutions Assist

Translated CEO's vision into a working AI deal intelligence platform — 12 specialized agents, 14 automated triggers, full Salesforce integration, and 7 IT tower organization.

  • 12 specialized AI agents across 7 IT towers
  • 14 automated triggers — zero behavior change for sales adoption
  • Salesforce bidirectional sync for real-time deal intelligence
  • Automates RFP responses, competitor analysis, and win/loss insights
Read Case Study
AI Agents

TechOps & AI Orchestration Platform

A multi-tenant enterprise platform that deploys autonomous AI agents for IT operations — with MCP-based tooling, RAG knowledge, dual governance, and a self-improving feedback loop.

  • 9 enterprise products on a single orchestration platform
  • 5 agent types, 7 modules, MCP-based tooling
  • 8,900+ automation executions across 100+ agents
  • Dual governance: guardrails + human-in-the-loop approvals
Read Case Study
GenAI

GenAI-Powered Lending Platform

Integrated GenAI into real estate lending workflows, achieving 30% improvement in loan closure rates and 25% revenue growth through personalized financial recommendations.

  • 30% improvement in loan closure rates via GenAI recommendations
  • 25% revenue growth through personalized financial product matching
  • $59M+ enterprise client onboarding enabled
  • 95% of application workflows automated (up from 60%)
B2B SaaS

NetOxygen Launchpad Optimization

Streamlined the NetOxygen platform launch process, improving developer efficiency by 20% and reducing time-to-market from 21 days to 4 days.

  • 20% developer efficiency improvement
  • Time-to-market reduced from 21 days to 4 days
  • 750+ B2B SaaS screens designed and shipped
  • Streamlined multi-team launch coordination process
React

OVIS Fitness CRM

Co-founded a fitness CRM platform for Indian coaches — client management, diet planning, workout tracking, and monetization in one unified platform.

  • 50+ fitness coaches onboarded at launch
  • Client management, diet planning, and workout tracking in one platform
  • Subscription monetization model (₹3,999–₹7,000/month)
  • Co-founded at NIT Jalandhar — 0 to product in final year
Read Case Study
Product Design

ChessGambit Gaming Platform

End-to-end product design for a real-money chess platform — 10+ jurisdictions, 320% player growth, and two pioneering chess variants.

  • 320% player growth through retention-focused game design
  • 10+ jurisdictions with full compliance and KYC architecture
  • Two pioneering chess variants — Fog of War & Blitz Bounty
  • Real-money platform with tournament, leaderboard, and wallet systems
Read Case Study

About me

I think from first principles —
because every great system is
discovered, not designed.

I'm a Technical PM at FuturePath AI owning 9 enterprise products on a single orchestration platform — a Service as a Software model where autonomous AI agents execute IT operations end-to-end.

Every product I've built starts from the same question: what does this really need to work? At FuturePath, the answer was trustworthy data. At Wipro, it was a lending pipeline that actually made decisions. At OVIS, it was a team that believed in something bigger than a paycheck.

I bring a strong entrepreneurial foundation from co-founding OVIS at NIT Jalandhar, where I served as President of the Robotics Society and was part of the award-winning ESVC 2019 Electric Vehicle team.

Surya Prakash Dhar Dwivedi
“Problem Solver, Storyteller, Thinker and a Newbie martial artist who enjoys being challenged and accepts his mistakes and usually loves exploring why a mistake happened in the first place.”

— Surya Prakash Dhar Dwivedi

Three companies. Three chapters. One through-line — fix what's broken beneath before you build above it.

2019 – 2021

Veefitt Ventures — OVIS

Conviction

Co-founder & Product Manager

Leadership Without Leverage

You can't pay people to care. You have to make them believe. I registered the company, burned savings on compliance, and spent two years learning that leadership without financial incentive is the purest test of vision. No salary. No equity. Just the idea.

2021 – 2025

Wipro Gallagher Solutions

Enterprise Mastery

Full Stack Developer → API Owner → Product Manager → AI PM

Four Years, Four Unlocks

Wipro wasn't one job — it was four distinct phases inside one company. Each year unlocked a different layer of how enterprise products actually work.

2021 – 2022

The Machine

Full Stack Developer

Before owning a product, I learned the machine underneath — APIs, auth, servers, front-end and back-end contracts. Every abstraction I build now, I know what's beneath it. Most PMs don't.

2022 – 2023

The Domain

API Product Owner — Lending

I owned the API contract between systems — consumer lending, mortgage origination, HMDA compliance. Knowing a domain from the inside changes how you build for it. I stopped building features and started building decisions.

2023 – 2024

The Build

Product Manager — Credit Card Origination

+83% approval rate. −93% decision time. 428% ROI. Real learning: constraints aren't limitations — they're the brief. The best decisions came from what we couldn't do.

2024 – 2025

The AI Reckoning

AI PM — Underwriting Automation

Built AI guidance for the 5% of loans that couldn't be auto-approved. AI doesn't replace human judgment — it amplifies it. But only if the data underneath is trustworthy. This is where my data-quality obsession was born.

2025 – Present

FuturePath.AI

Platform Thinking

Technical PM & Product Leader

Platforms Generate Products

9 products. One orchestration layer. Service as a Software. The insight that rewired how I think: don't build a product — build a platform that generates products for different personas. The best platform disappears. The product feels inevitable, not engineered.

What Drives Me

Three tensions I haven't resolved.

Probably never will.

⬛

The Foundation Obsession

I cannot build on broken ground. Before any feature, I need to know the data underneath is trustworthy. It's why I conceived CMDB IE and RCE before anything visible at FuturePath.

◈

Leadership Without Leverage

OVIS taught me: you can't buy belief. No salary, no equity, no authority — just vision. This shapes every cross-functional relationship I have. Influence through clarity, not hierarchy.

◎

The Invisible Machine

My best work is when users don't notice it. Loan closes. Ticket resolves. Alert silent. Engineering that feels inevitable — that's the standard I hold everything to.

The Human Side

When I'm not thinking about data pipelines.

This is who I am off-screen.

🥋

Martial Arts

Newbie. Still learning to fall properly.

♟️

Chess Thinking

Strategy over tactics. Always.

🤖

Robotics

Built an electric vehicle in college. ESVC 2019.

🔍

Post-Mortem Obsessive

I reverse-engineer failure for fun.

📖

Storyteller

Products are stories. I write both.

🏗️

System Sketcher

Architecture before syntax. Always.

Technical Skills

AI Agent OrchestrationService as a SoftwareData Quality ArchitectureProduct StrategyCMDB & ITSM SystemsMCP & RAG SystemsEntity ResolutionEnterprise SaaSAutonomous Agent DesignAgile & Scrum

Tools & Frameworks

LLMs & LangChainServiceNow & SolarWindsCisco DNAC & Palo AltoSalesforce IntegrationFigma & BalsamiqPython & SQLAzure & AWS
Live

What I'm Building Now

Active builds, pilots, and the ideas I can't stop thinking about.

Updated March 2026

Active Builds

SHIPPINGFuturePath.AI

TechOps CoResolve Suite

6 domain-specific AI products covering NOC operations, network troubleshooting, compute fleet management, hybrid cloud diagnostics, and major incident management — all on one orchestration platform.

MCPAI AgentsITSMServiceNow
SHIPPINGFuturePath.AI

CMDB Intelligence Engine + Reality Correlation Engine

The data quality foundation that makes enterprise AI trustworthy. 10-engine CMDB system + 11-engine ticket validation pipeline. The only end-to-end data quality layer in the market.

Data QualityEntity ResolutionNetFlowCMDB
PILOTINGSide Project

WhatsApp Persona Bot Creator

Building a platform that lets anyone create persona-oriented WhatsApp bots — different bots for different use cases, densities, and audiences. One creator interface, many bot personalities. Vibe coded using Claude + VS Code.

Next.jsPythonWhatsApp APIClaudePersona AI

On My Mind

Service as a Software is the right model.

The market education is 2 years behind. Enterprises want autonomous operations — they just don't know how to procure it yet. We're building the category, not just the product.

Vibe coding changed how I prototype.

I built the WhatsApp bot platform using Claude + VS Code from scratch. Front-end deployed engineers are real. As a PM who can build, I'm starting to question what 'technical PM' even means anymore.

The platform beats the product every time.

One platform that generates 9 products for different personas is worth more than 9 separately built products. I'm betting my entire career on this thesis right now.

What's Next

Building the platform that makes “Service as a Software” a category enterprises can actually buy — not just a thesis I believe in.

Let's Connect

Interested in collaborating or just want to say hello?

Email Call LinkedIn GitHub