Enterprise AI & Data Consulting
Decision Intelligence, Engineered for Trust.
Decelligent designs and ships agentic AI, data platforms, and fraud & risk intelligence for banks, regulators, and Fortune 500 enterprises — where deterministic outcomes, auditability, and scale matter more than demos. Built on two decades of enterprise AI and data leadership, now available as a dedicated consulting practice.
The experience behind Decelligent
Home / Approach
How We Work
Most AI initiatives stall between pilot and production. Our engagement model is designed to close that gap — with auditability and governance built in from day one, not bolted on afterward.
Assess the real decision or workflow bottleneck, the data foundation underneath it, and the compliance constraints it has to survive.
Design the system — deterministic, hybrid, or LLM-driven — matched to the risk tolerance of the environment, not the hype cycle.
Ship production-grade platforms with observability, guardrails, and rollback paths from the first release, not the fifth.
Institutionalize the platform: governance frameworks, cost/latency tuning, and the operating model that lets it outlive the engagement.
Home / Services
What We Do
Deterministic multi-agent systems, RAG & NL2SQL, and hybrid LLM + rule-engine architectures. Multi-tenant workflow orchestration (Temporal, durable-rules), SME-configurable DSLs, and zero-trust design for banking-grade compliance.
Lakehouse architecture, ETL/ELT pipelines, and real-time & batch processing at transaction scale. Cloud-native builds on AWS/Azure from prototype to production.
Document fraud & tampering detection, OCR/NLP-driven document AI, and continuous audit & risk monitoring for procurement, vendor, and compliance use cases.
Fractional VP-level leadership across AI strategy, product management, project delivery, engineering, and development. We can also assemble and lead the delivery team needed to turn a roadmap into a working product.
CI/CD, model lifecycle management, observability, and cost optimization. SRE practices and SLA/SLO-driven operations for AI systems running at production scale.
GDPR/PII frameworks, SOX controls, RBAC/RLS, data lineage and stewardship — the audit-readiness layer regulated enterprises can't skip.
Home / Industries
Who We Serve
Deterministic agentic reconciliation, air-gapped and zero-trust architectures for regulated, LLM-free banking environments.
Enterprise audit and compliance platforms integrating dozens of ERP systems to detect fraud and antitrust risk at global scale.
Commercial AI analytics products, multi-agent RAG platforms, and document intelligence for Fortune 500 SaaS clients.
Continuous auditing, digital risk assessment engines, and document fraud detection built for regulator and board-level scrutiny.
Home / Expertise
Depth, Not Buzzwords
Agentic AI · Multi-Agent Systems · RAG / GraphRAG · NL2SQL · LLMOps · Prompt Engineering & Fine-Tuning · Vector Databases · Guardrails & AI Governance
Databricks · Snowflake · Spark · Kafka · Azure Data Factory & Synapse · Real-time & Batch Processing · SQL/NoSQL · Vector Databases
Azure Document Intelligence · Tesseract OCR · OpenCV · Layout-Aware Parsing · Metadata Forensics · Semantic Search · Duplicate & AI-Content Detection
GDPR & PII · SOX Controls · SOC2 · ISO 27001 · Zero Trust Architecture · RBAC/RLS · Data Lineage & Stewardship · Audit Readiness
AWS · Azure · Kubernetes · Docker · CI/CD · SRE Practices · Observability · Incident & Root-Cause Response · Event-Driven Architecture
Temporal · durable-rules · DSL Design · Deterministic Agentic Systems · Multi-tenant Orchestration · Fault-tolerant, Auditable Workflows
Home / Work
Platforms Delivered
Deterministic, LLM-free agentic orchestration for UPI transaction reconciliation across Indian banks — durable-rules, custom DSL, and Temporal-based multi-tenancy for air-gapped, banking-grade environments.
Integrated 13 ERP systems to analyze multi-billion-dollar cash flows, detecting fraud and antitrust risk at ~85% accuracy. Recognized by Harvard Business School, Financial Times, American Lawyer, and New York Law Journal.
Processes $1.2T+ in transactions annually with real-time inference and monitoring. 88% fraud detection precision, 35% fewer false positives, serving Fortune 500 B2B SaaS clients.
Production-grade multi-agent orchestration with RAG, embeddings, and vector retrieval — hybrid LLM + deterministic architecture with guardrails built in from day one.
Metadata forensics, duplicate detection, and AI-generated content identification protecting five Fortune 500 clients across regulated industries.
Self-service analytics marketplace that reduced BI dependency for a $1B client and democratized data access across global IT operations.
Home / Insights
Perspectives
A structured framework for the evolving AI talent landscape across seven role clusters — AI Engineering & Architecture, AI Strategy & Transformation, and Responsible AI & Research — based on systematic analysis of senior-level AI job descriptions using a custom-built agentic pipeline.
Read the PaperRecognition
Platform work built and led by Decelligent's founder has been featured or recognized by the above.
Home / Company
Leadership
Founder & Principal Consultant · HBS · 20+ Years in Enterprise Data & AI
Roopak is a senior technology executive with two decades building enterprise-scale data, AI, and platform systems — most recently as Vice President of Engineering and AI at Covasant (Kona AI), and before that Global Director of Advanced Analytics at AB InBev.
He has built and led global engineering teams of 100+ across multiple countries, architected platforms processing $1.2T+ in transactions, and delivered $80M+ in measurable cost savings and risk mitigation. His work has been recognized by Harvard Business School, the Financial Times, American Lawyer, and the New York Law Journal.
Decelligent exists because most "AI transformation" work stalls at the proof-of-concept stage. Our practice is the opposite: platforms that pass audit, survive regulators, and run in production at scale.
View LinkedIn ProfileHome / Advisors
Advisory Board
Director, Software Engineering (Data & AI) · Visa
Kireeti is Director of Software Engineering (Data & AI) at Visa, where he builds systems for payments risk, identity, and fraud prevention at global transaction scale. Over 20+ years, he has led enterprise data and AI product organizations at Visa, Intel, and IBM, turning strategy into shipped, revenue-generating platforms.
His domain depth spans payments, fintech, and supply chain, backed by 2 patent filings and 15+ technical innovation awards for work in enterprise analytics and AI-driven risk systems. He is also the author of a book on the Metaverse, and has personally trained 4,000+ students and IT professionals in business intelligence, generative AI, data product design, and data modeling.
Kireeti is an executive alumnus of IIM Kozhikode and ISB. At Decelligent, he advises on payments risk, fraud prevention architecture, and enterprise AI product strategy.
View LinkedIn ProfileHome / Contact
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