I build production AI.
Now I operate AI inside yours.
Most AI transformation programmes are run by people who have never built a production AI system. They deliver frameworks, not outcomes. I have spent the last decade building two AI companies from scratch, both live, both with full P&L accountability. When I engage with an organisation, I bring a builder's perspective, not a consultant's.
What problem are you actually trying to solve?
Most AI engagements start with the wrong question, "what tool should we buy" instead of "what's actually broken." Before anything else, here's what I'm listening for in the first conversation. Recognise any of these?
Your AI is only as smart as the data under it, and everyone on the team already knows it needs cleanup.
You started with a list of every possible AI use case. The list is where most AI projects quietly die.
You bought the licence. The seats are paid for. A handful of people log in, and half of them are on the implementation team. The actual users are not using it.
Every AI demo your team has sat through has been flawless. None of them have shipped to production.
The model works fine. Nothing shipped anyway, because the problem was never the model. It was coordination.
If one or two of those landed, that's the conversation worth having.
Three things I do differently.
I build
Five production AI systems shipped at getBeyond AI: voice AI, account intelligence, personalisation, workflow orchestration, and real-time conversational AI.
I operate
As an AI Operating Partner, I build the intelligence layer inside the systems you already run, not a new platform you have to adopt around.
I scale with AI
Every system I build runs inside the GTM motion itself: sales simulation, account intelligence, personalised outreach, workflow orchestration. AI that moves revenue, not a lab demo.
The AI Operating Partner model.
I do not hand you a deck and leave. Through getBeyond AI, I run the same four-phase model for enterprise clients that I describe below. I am accountable for whether the metric moves, not for whether a slide looks good in a steering committee meeting.
I map the operational bottleneck before proposing anything.
A system design with defined success metrics, agreed before a line of code ships.
Built inside your existing stack, in phases, so the organisation adopts it instead of working around it.
Outcomes are measured against the metrics in the blueprint, and the engagement expands only where the numbers justify it.
What I have built.
getBeyond AI
Founder & CEO · 2022 to present
A production multi-agent AI platform serving enterprise clients across the US and international markets. The architecture spans four layers: voice AI, contextual intelligence, workflow execution, and output evaluation. Also works as an AI Operating Partner, building production AI inside other enterprises' existing systems.
Relatas
Founder & CEO · 2015 to 2025
AI-driven revenue forecasting and CRM SaaS. Built the engineering organisation from zero. ML forecasting with retraining cadence and model versioning, MLOps on AWS and GCP, VAPT exercises, and a GDPR compliance programme for enterprise deployments.
The AI work did not start with AI.
It started at Infosys, leading a large-scale global sales enablement programme across distributed teams. At Sourcebits, a Sequoia Capital and IDG-backed company, owning delivery governance for enterprise clients with 20,000+ employees. At Persistent Systems, scaling a flagship enterprise account across the US, India, and China. 25+ years of delivery accountability. Not advisory. Delivery.
What I bring.
Run the Discovery Audit to Measure and Compound model as an embedded AI Operating Partner.
Build and scale AI delivery organisations from zero.
Convert AI capabilities into production-grade, governed enterprise systems.
Own P&L and delivery outcomes across complex, matrixed programmes.
Bridge technical AI teams and enterprise business stakeholders.
Lead LLM platform decisions and build-vs-buy evaluations.
Identify high-value workflows for agentic automation and production deployment.
Frequently asked questions.
What does an AI transformation executive do?
An AI transformation executive builds and governs production AI systems at enterprise scale, leads the organisations that deliver them, and owns P&L and outcome accountability throughout. Sudip Dutta has done this across two AI companies and 25+ years of enterprise delivery.
What is an AI Operating Partner?
An AI Operating Partner builds an AI layer inside an organisation's existing systems rather than replacing them, runs a structured engagement (Discovery Audit, AI Blueprint, Deploy and Integrate, Measure and Compound), and is accountable for the metric moving, not for a recommendation. Sudip Dutta runs this model through getBeyond AI for enterprise clients.
What AI companies has Sudip Dutta built?
Sudip is Founder and CEO of getBeyond AI, a production multi-agent AI platform serving enterprise clients in the US and international markets, and Relatas, an AI-driven revenue forecasting and CRM SaaS platform with a decade of enterprise deployments and 100% YoY growth.
What is the difference between Sudip Dutta and an AI consultant?
Sudip has built two production AI companies and owns P&L across all client engagements. He delivers running systems with SLA accountability, not frameworks and recommendations. Built, not advised.
How can I engage Sudip Dutta for AI transformation?
Contact Sudip directly at me@sudipdutta.com.