Prodapt

Boldest. + MoEngage. Together rewiring the B2C Martech stack.   Across content creation (and re-creation based on performance signals), campaign optimization, customer segmentation, and multi-channel, multi-device shopping experiences.   With a clear, predictable path to business impact.    The team would love to show this to you. Talk to us.    Dilip Keshu, Manish Vyas Keith Pires, Ramy G. Youssef

Our CTO Rajiv Papneja makes 10 predictions about how Enterprise AI will play out in 2026.   Scroll down for a closer look at one set of closely-related predictions from the list, around what Rajiv terms 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐕𝐞𝐥𝐨𝐜𝐢𝐭𝐲.    Read the full piece here: https://lnkd.in/dyrcxX8V   Let this start a conversation - tell us what you think.   𝐎𝐫 𝐞𝐯𝐞𝐧 𝐛𝐞𝐭𝐭𝐞𝐫, you can meet Rajiv (and the rest of the Prodapt leadership team) in-person at Barcelona during the Mobile World Congress.    Meet us at MWC 2026: https://lnkd.in/gQ6pXvWi   —    Prediction Spotlight #1: Intelligence Velocity   AI adoption is assumed in 2026. Enterprise advantage now depends on disciplined 𝐦𝐨𝐯𝐞𝐦𝐞𝐧𝐭 𝐨𝐟 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞. This is the enterprise’s ability to efficiently translate intent into execution, and execution into measurable value with policy driven control intact - i.e. the movement of intelligence through the system.   Three structural shifts are accelerating this transition -    #1 Enterprises are introducing 𝐚𝐠𝐞𝐧𝐭𝐢𝐜 𝐯𝐢𝐫𝐭𝐮𝐚𝐥 𝐰𝐨𝐫𝐤𝐟𝐨𝐫𝐜𝐞𝐬, where autonomous agents execute end-to-end workflows under explicit policy, supervision, and recovery controls.   #2 Software itself is becoming i𝐧𝐭𝐞𝐧𝐭-𝐝𝐫𝐢𝐯𝐞𝐧. Development is moving away from manual, release-based engineering toward continuously synthesized systems that evolve in real time.    #3 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞-𝐬𝐜𝐚𝐥𝐞, 𝐠𝐨𝐯𝐞𝐫𝐧𝐞𝐝 𝐝𝐚𝐭𝐚 and semantics are becoming the substrate for reliable, domain-specific intelligence.     In short, Intelligence velocity will become a core operating discipline for autonomous enterprises.    More here:https://lnkd.in/dyrcxX8V See you in Barcelona. Rajiv Papneja, Manish Vyas, Rajesh Rathod, Jagan N, Dhanashree Bhat Sumit Grover, Vikram Kumar, Mehraj Gulzar, Mukul Gupta, Vivek Rao

AI delivers real value only when it’s engineered for industry-specific outcomes. Nowhere is that more critical than in telecom operations. And that’s exactly what Databricks highlights in its latest partner showcase. Databricks spotlights innovative, ready-to-deploy GenAI solutions built on the Databricks Data Intelligence Platform by leading consulting and SI partners. Leveraging Agent Bricks to accelerate enterprise AI transformation, these solutions address industry-specific use cases across different sectors.  Prodapt is proud to be featured within the Communications, Media, and Entertainment industry for our telco-specific solutions in B2B 𝐎𝐫𝐝𝐞𝐫 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 and 𝐅𝐢𝐞𝐥𝐝 𝐎𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 – The Digital Twins for Operations.  Built on the Databricks Data Intelligence Platform, these Digital Twins deliver a live, governed view of execution across both the last mile and the B2B delivery lifecycle. By unifying real-time signals, predicting risk early, explaining likely causes, and triggering closed-loop actions, these solutions help reduce non-productive dispatches, prevent order fallout, accelerate activation, and protect revenue. At Prodapt, this recognition reflects our platform-led approach to deploying agentic AI where telecom operational complexity is highest. Check out the blogs pinned in the first comment to see how Databricks-powered digital twins are reshaping telecom operations end-to-end. To know more about the GenAI data solutions, visit us at MWC 2026: https://lnkd.in/gQ6pXvWi Manish Vyas, Rajiv Papneja, Roshan M, Satish Billakota, Mandeep S Kwatra, Paul Termijn, Pradeep Kumar D, Meena Krishnan Sumit Grover, Vikram Kumar, Mukul Gupta, Mehraj Gulzar Thirumal Alagu, Sivasubramanian V.

True. Solutions that don’t just keep us busy in the myriad world of tech. But solutions that help our clients MEASURE success in an unambiguous and quantitative way. How we do it? For starters - by not doing too many things. By not saying ‘we do everything/anything’. Ok that’s probably easy (believe me it’s not for most companies in this Industry). Ok…so how else? To discuss specifics and details - let’s catch up with one of us, any of us at #MWC26. Sumit Grover Rajiv Papneja Mukul Gupta Vikram Kumar Mehraj Gulzar Prodapt

Eighteen years at one company often raises eyebrows. But why do people choose to stay?   In this edition, Ramanan GV reflects on his 18-year journey at Prodapt, growing alongside a company that kept evolving, scaling across geographies, customers, and complexity, while he grew with it.   A reflection on trust, mentorship, and why some journeys are worth staying for. #PeopleOfProdapt #LifeAtProdapt Itha Lakshmipathi (LI) Dhanashree Bhat Jagan N Senthil Kumar Jayavel Rampriya Rajendran Muthukumaravel Sakthivel Tom Hoch Sindhu Muthiah

NPS scores don’t drop overnight. They drift when customer signals go unseen and unacted.  Especially when AI isn’t operationalised in the decision-making process. Let’s unpack how a leading network communications provider reimagined its contact centre intelligence stack.  This edition continues our weekly series, where we decode real-world enterprise AI problem statements drawn from the 100+ AI programs Prodapt delivers globally.  𝐂𝐨𝐦𝐩𝐥𝐞𝐱𝐢𝐭𝐲: Customer experience insights were scattered across IVR recordings, surveys, and CRM systems, leaving teams blind to the fundamental drivers of dissatisfaction.  Manual NPS analysis was slow and inconsistent, agent performance varied, and emerging issues often surfaced only after they escalated into churn risks.  Fixes sometimes miss root causes, resulting in inconsistent service quality, delayed resolution, and declining customer confidence.  𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡: Prodapt built an AI-driven voice and feedback intelligence pipeline using SynaptGPT.  Purpose designed to move AI from post-hoc analysis into day-to-day contact centre operations.  IVR conversations were continuously ingested and transcribed with Whisper AI, then enriched through AI-led call categorisation, sentiment analysis, and NPS contribution scoring powered by Azure OpenAI.    Advanced topic modelling clustered recurring drivers and resolution gaps, while anomaly detection flagged emerging risks in near real-time.  Insights were delivered to dashboards and a web application, enabling supervisors to convert feedback directly into targeted coaching and performance actions.  𝐈𝐦𝐩𝐚𝐜𝐭: Reduced feedback and survey analysis time by 50%, delivered a 20% uplift in NPS, strengthened agent performance through insight-backed training, and established a scalable, real-time customer experience.  Join us at MWC 2026 to explore what customer experience built for scale looks like with Practical AI in action. Meet us here: https://lnkd.in/gQ6pXvWi

AI for every enterprise has become non-negotiable. But making it practical, governed, and scalable across the full service lifecycle is where most initiatives stall.    That’s the lens we’re bringing to MWC 2026.  Practical AI - Business Outcomes at Scale    AI engineered into the fabric of TechCo operations. Guard-railed, observable, and ready for autonomy.    At MWC ’26, we’ll showcase our:  • 𝗦𝘆𝗻𝗮𝗽𝘁 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 that power agentic lifecycle management across build, run, and evolve phases  • 𝗧𝗲𝗹𝗰𝗼 𝗔𝗴𝗲𝗻𝘁 𝗛𝘂𝗯, bringing platform-agnostic, production-ready agents into B/OSS stacks  • 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗗𝗮𝘁𝗮 𝗙𝗮𝗰𝘁𝗼𝗿𝘆, accelerating the data-to-value journey through governed, scalable data foundations  • 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝗼𝗻 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝗡𝗼𝘄 𝗮𝗻𝗱 𝗦𝗮𝗹𝗲𝘀𝗳𝗼𝗿𝗰𝗲, driving end-to-end Lead-to-Care journeys through embedded intelligence   Put together, they enable enterprise AI programs to break out of POCs and deliver real, measurable impact across productivity, reliability, cost, and customer experience.     If you’re at MWC 2026, join us to see how Practical AI drives business outcomes at scale. 𝗕𝗼𝗼𝗸 𝗮 𝗺𝗲𝗲𝘁𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝘂𝘀 𝗵𝗲𝗿𝗲: https://lnkd.in/gQ6pXvWi Manish Vyas, Rajiv Papneja, Vikram Kumar, Mukul Gupta, Mehraj Gulzar, Sumit Grover, Vivek Rao, Balamurugan Subbiah

Every successful service activation hides a complex data challenge beneath the surface. Here’s how a leading network communications provider transformed regulatory-grade service address validation and order processing using GenAI-powered automation.   This edition continues our weekly dive into real-world enterprise AI problem statements drawn from the 100+ AI programs Prodapt delivers globally.   𝐂𝐨𝐦𝐩𝐥𝐞𝐱𝐢𝐭𝐲: Fragmented, country-specific address databases and frequent mismatches between service address repositories and E911 systems led to repeated order failures, manual rework, and delayed activations. Agents were stuck validating addresses across multiple systems, with limited real-time visibility, which drove higher operational costs, workforce strain, and inconsistent customer experiences.   𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡: Prodapt engineered an AI-driven regulatory-grade service address validation and order orchestration solution. GenAI models cross-referenced order entry system data with Bing Address APIs to automate validation at scale, while LLMs generated and verified multiple address suggestions against E911 standards to ensure accuracy. An auto-allocation agent interface enabled agents to track, validate, and resolve orders efficiently, supported by a unified order lifecycle system and real-time error-resolution queues, eliminating blind spots from order creation to fulfilment.   𝐈𝐦𝐩𝐚𝐜𝐭: Delivered a 90% reduction in address validation errors, while cutting order processing time by 50% through real-time validation and auto-allocation. This led to a 30% boost in agent productivity with reduced FTE dependency.

There are various layers to the modern AI stack. GPUs and infra. Foundation models. Data engineering. Agent toolkits. Industry application overlays. But what is becoming central to practical, secure, and scalable Enterprise AI stack is the 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 𝐋𝐚𝐲𝐞𝐫. Fine-grained observability, security, guardrail frameworks, risk mitigation - these need to be built in to the AI systems. Frameworks and processes for Responsible AI must be designed, owned, measured, and enforced with 𝐧𝐨 𝐜𝐨𝐦𝐩𝐫𝐨𝐦𝐢𝐬𝐞. This is central to Prodapt's AI approach. And our ISO 42001 certification - the global standard for responsible AI Management Systems - validates that. Why is this important for global enterprises in high-stakes, compliance-heavy contexts? Watch this short video, where our AI & Process Excellence leaders tell us why the governance layer matters. Venkatachalam R., Meena Krishnan, Anitha Radhakrishnan Manish Vyas, Vedant Jhaver Rajiv Papneja, Rajesh Rathod, Jagan N, Dhanashree Bhat

2025 was full of growth, grit and standout moments. Here’s a quick rewind as we sprint into what’s going to be an unstoppable 2026! Manish Vyas, Rajiv Papneja, Dhanashree Bhat, Rajesh Rathod, Ramanathan J, Jagan N,Mehraj Gulzar, Mukul Gupta, Sumit Grover, Vikram Kumar, Meena Krishnan #LifeAtProdapt #Momentsthatmatter #prodapt