--- title: "Enterprise AI Consulting and AI Operating Partner | Sudip Dutta" description: "Enterprise AI consulting that ships production systems, not slideware. Sudip Dutta builds and governs AI inside your existing stack as an AI Operating Partner, with full outcome accountability." url: "https://sudipdutta.com/enterprise-ai-consulting" type: Person entity: "Sudip Dutta" job_title: "Enterprise AI Executive and 3X Founder" works_for: "getBeyond AI" last_updated: "2026-06-27" source_of_truth: "site/enterprise-ai-consulting/index.html" keywords: ["enterprise AI consulting", "AI consultant", "AI Operating Partner", "how to implement AI", "why AI projects fail", "multi-agent AI", "production AI systems", "getBeyond AI", "Relatas", "agentic AI"] sameAs: - "https://www.linkedin.com/in/sudipdutta" contact: email: "me@sudipdutta.com" --- # Enterprise AI Consulting and AI Operating Partner 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. Sudip has spent the last decade building two AI companies from scratch, both with full P&L accountability. When he engages with an organisation, he brings 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 is actually broken." These are the patterns worth a conversation: - 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 and the seats are paid for, but 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. ## 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. I am accountable for whether the metric moves. 1. **Discovery Audit.** Map the operational bottleneck before proposing anything. 2. **AI Blueprint.** A system design with defined success metrics, agreed before a line of code ships. 3. **Deploy and Integrate.** Built inside your existing stack, in phases, so the organisation adopts it instead of working around it. 4. **Measure and Compound.** Outcomes are measured against the metrics in the blueprint, and the engagement expands only where the numbers justify it. ## What I have built: two AI companies ### getBeyond AI Founder and CEO, 2022 to present. https://getbeyond.ai 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. - 5 production systems - Multi-agent AI platform ### Relatas Founder and CEO, 2015 to 2025. https://relatas.com 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. - 100% YoY growth - 5 awards, 3 continents ## Before the companies 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. - 3,000+ sales professionals on a single enterprise platform built at Infosys. - $3M to $12M revenue grown in three years at Sourcebits, a Sequoia-backed company. - $200K to $2M enterprise account grown at Persistent Systems in under two years. - 25+ years of delivery accountability across enterprise, sales, and AI. ## 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 **Q: What is enterprise AI consulting?** A: Enterprise AI consulting helps large organisations identify, build, and govern AI inside their existing systems and operations. It covers finding the high-value use case, designing the system, deploying it in production, and measuring the outcome, rather than handing over a strategy deck. Sudip Dutta delivers this as an AI Operating Partner through getBeyond AI, accountable for the metric moving, not for a recommendation. **Q: Why do most enterprise AI projects fail?** A: Industry research, including a widely cited Gartner estimate, has put the failure rate of enterprise AI projects as high as 85%, and the reasons usually have nothing to do with the model. The data underneath is not ready. The team starts with a list of every possible use case instead of the one that matters. Licences get bought but the actual users never adopt the tool. Demos look flawless but nothing ships to production. And often the model works fine, yet nothing ships anyway because the real problem was coordination, not technology. Sudip Dutta starts every engagement with a Discovery Audit precisely to find which of these is the real bottleneck before proposing anything. **Q: How can a business implement AI?** A: A business implements AI most reliably by starting with the problem, not the tool. Start with a Discovery Audit to map the real operational bottleneck before proposing any technology. Follow with an AI Blueprint that defines success metrics before any code ships. Then deploy inside the organisation's existing stack in phases, so adoption happens rather than workaround. Finally, measure outcomes against the agreed metrics and expand only where the numbers justify it. Sudip Dutta runs this four-phase model through getBeyond AI for enterprise clients across the US and internationally. **Q: What is multi-agent AI for enterprise?** A: Multi-agent AI for enterprise refers to production systems where multiple AI agents handle distinct tasks in a coordinated workflow, such as voice interaction, account intelligence, personalised outreach, and workflow orchestration, passing results between agents to complete end-to-end business processes. Unlike single-model tools, enterprise multi-agent systems are governed, measurable, and built to integrate with an organisation's existing stack. getBeyond AI, founded by Sudip Dutta, runs five production multi-agent systems serving enterprise clients across the US and international markets. **Q: How much does an AI consultant cost?** A: AI consulting and AI Operating Partner engagements vary widely by scope. Sudip Dutta begins every engagement with a Discovery Audit, which starts at USD 50,000 and is scoped to the complexity of the organisation. It runs two to eight weeks, maps the real operational bottleneck, and produces an AI Blueprint with agreed success metrics. The cost and timeline of the full transformation are determined from there, based on what the audit finds and what the organisation decides to prioritise. **Q: What is an AI Operating Partner?** A: 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. **Q: What is the difference between an AI Operating Partner and an AI consultant?** A: An AI consultant delivers a strategy or framework and leaves. An AI Operating Partner builds the AI inside your existing systems and stays accountable for the outcome. Sudip Dutta runs a four-phase engagement through getBeyond AI (Discovery Audit, AI Blueprint, Deploy and Integrate, Measure and Compound) and is measured on whether the metric moves, not on whether a deck lands. **Q: Should a company build an internal AI team or hire an AI Operating Partner?** A: Building an internal AI team takes time to hire, ramp, and learn what production AI actually requires, and many organisations do not yet have the volume of work to justify a permanent team. An AI Operating Partner brings that capability immediately, builds inside your existing systems, and is accountable for the outcome from day one. Sudip Dutta works as an AI Operating Partner through getBeyond AI, and helps leadership teams make build-vs-buy decisions across the AI stack rather than defaulting to either. **Q: How long does an AI transformation take?** A: The timeline depends on the complexity of the organisation and the scope of the transformation. The first step is always a Discovery Audit, which runs for two to eight weeks and maps the real operational bottleneck before anything is proposed. The full engagement timeline is determined after the Discovery Audit, based on what is found and what the organisation decides to prioritise next. There is no fixed duration imposed upfront because the Discovery Audit is specifically designed to determine what the right next step is. **Q: What does an AI transformation executive do?** A: 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. **Q: What AI companies has Sudip Dutta built?** A: 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. **Q: How can I engage Sudip Dutta for AI transformation?** A: Contact Sudip directly at me@sudipdutta.com. ## Contact - Email: me@sudipdutta.com - LinkedIn: https://www.linkedin.com/in/sudipdutta