Binu Babu
AI Product Consultant
Advising CEOs, Founders, and Product Leaders on building defensible, production-grade AI systems. The AI landscape is moving from chat to orchestrators. Are you ready?
Expert Consulting
From LLM Wrappers to Agentic Workflows
Proven track record of delivering AI products that create defensible moats, drive sustainable growth, and establish market leadership through strategic product development and data-driven decision making.
Available for Consulting
Ready to help transform your AI product development approach.
Strategic AI Insights
Building successful AI products requires strategic thinking about defensibility, disruption, and value creation in an era of rapid technological change.
Agentic Strategic Moats
For CEOs & Founders: In the era of commoditized LLMs, defensibility shifts from the model to the orchestration. True moats are built through agentic workflows that integrate deeply with your proprietary data and business logic.
Orchestrate multi-step reasoning that competitors can't easily replicate
Build agents that resolve ambiguity through proprietary internal data
Create feedback loops where execution data compounds your advantage
Increase customer switching costs by embedding agents into core operations
Leverage RAG and Agentic Memory for persistent domain expertise
The Shift to Agentic SaaS
For Product Leaders: Traditional SaaS is being replaced by Agentic systems that move from 'point and click' to 'instruct and execute'. The winners will be those who reimagine workflows where the software is the primary actor.
Transform linear UIs into intent-driven autonomous agents
Build systems that proactively manage tasks instead of reacting to inputs
Focus on outcome-based value rather than seat-based licensing
Reduce operational friction by automating end-to-step decision logic
Reimagine high-value workflows through the lens of agentic autonomy
ROI-Driven AI Engineering
For Technical Leaders: Building production-ready agents requires more than a prompt. It demands rigorous engineering around reliability, observability, and safety guardrails to ensure predictable business outcomes.
Implement robust error handling and self-correction in agent loops
Develop specialized evaluation frameworks for business performance
Build scalable infrastructure for long-running agentic tasks
Establish guardrails to prevent agent drift and recursive hallucination
Optimize Latency and Cost through strategic model orchestration
AI-Native Strategic Architecture
Building the Foundation: Success in modern AI requires a fundamental rethink of the tech stack. It's not about adding AI as a feature, but building architectures that prioritize data flow and agentic autonomy.
Design modular architectures for rapid LLM model swapping
Prioritize structured data output for reliable system integration
Build for agentic observability and trace-based debugging
Develop strategic data pipelines for fine-tuning and steering
Create defensible systems through integrated agent-tool ecosystems
Comprehensive AI Product Development Framework
Get the complete strategic framework for building defensible AI products from concept to scale. Detailed playbook covering strategy, execution, launch, and growth phases.
View Complete PlaybookProfessional Journey
Building impactful solutions and leading innovative teams across different roles and challenges.
Featured Work
Innovative solutions driving real-world impact through advanced technology and thoughtful design.
Agentic Support Orchestrator
A multi-agent system that autonomously handles Tier 1 & 2 support tickets by coordinating between RAG, CRM tools, and self-correction loops.
75% Resolution Rate
85% Operational ROI
Sub-30s Avg Response
92% Hallucination-Free
Autonomous Engineering Agent
An AI agent engineered to perform complex codebase refactoring and documentation generation by understanding cross-file dependencies and logic.
60% Faster Refactoring
100% Doc Coverage
Zero Logic Regressions
95% Engineer Approval
Hybrid RAG Knowledge Graph
A production-grade RAG system that combines vector search with GraphDB to enable complex reasoning over structured and unstructured data.
40% Accuracy Lift
Complex Query Support
Zero-Shot Success
Real-time Updates
Gen AI Performance Engine
A specialized middleware for LLM orchestration that handles load balancing, semantic caching, and dynamic model routing to optimize cost and latency.
65% Cost Reduction
40% Latency Drop
99.9% Uptime
3M+ Tokens/Day
Looking for an AI Strategy Partner?
Helping CEOs, Founders, and Product Leaders architect the next generation of AI-native products. Secure your strategy consultation below.