Varun Singla

Technology Consultant & Agentic AI Researcher ·

Agentic AI Enterprise AI Salesforce Telecommunications AI FinOps Singapore

01 — Who I Am

I'm Varun Singla, a technology consultant and agentic AI researcher. My work sits at the intersection of enterprise AI strategy, agentic AI architecture, Tech platform implementation, and digital transformation.

I started this daily research journal in March 2026 to document my deep dives into the rapidly evolving agentic AI landscape — covering everything from LLM token economics to multi-agent orchestration frameworks, agent memory systems, governance frameworks, and production deployment patterns.

With a background in telecommunications infrastructure (OSS/BSS), contact center platforms, and Tech Platforms, I bring an enterprise practitioner's lens to AI research — focused on what actually works at scale, not just what's theoretically interesting.

02 — Expertise Areas

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Agentic AI Architecture

Multi-agent orchestration (LangGraph, CrewAI, AutoGen), MCP & A2A protocols, agent memory systems, tool design, evaluation frameworks, and production deployment.

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Enterprise AI Transformation

AI CoE strategy, Shadow AI governance, TCO/ROI frameworks, change management, Agentic AI implementation, and stakeholder alignment at the C-suite level.

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AI FinOps & Token Economics

Token cost optimisation (prompt caching, model routing, RAG compression), AI infrastructure TCO modelling, build vs buy analysis, and token governance frameworks.

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Telco & Platforms

OSS/BSS systems, contact center AI, TMF APIs, and telco digital transformation.

03 — Research Journal Topics

Since March 2026, I've documented 20+ deep-dive research sessions covering:

Agent Orchestration Frameworks 2026 — LangGraph vs CrewAI vs AutoGen vs OpenAI Agents SDK vs Google ADK

Production Agent Memory Systems — 6 memory types, Mem0, Zep/Graphiti, Cognee, vector databases, GDPR patterns

AI FinOps & Tokenomics — Prompt caching (90% reduction), semantic caching, model routing, RAG compression, AI factory TCO

Agent Governance & EU AI Act — NIST CAISI framework, Kill Switch architecture, 90-day compliance roadmap

MCP Protocol Deep Dive — Host/Client/Server, JSON-RPC, 97M installs, enterprise governance

A2A Protocol & Agent Economy — Agent Cards, Task Lifecycle, Machine Payments Protocol, Visa Agentic Ready

Enterprise Agentic AI Strategy — CoE 5-layer architecture, Salesforce Agentforce, ServiceNow Autonomous Workforce

Agentic RAG Systems — ReAct loop, CRAG, Hierarchical RAG, Speculative RAG, multi-modal agents

04 — Skills & Technologies

Agentic AI LangGraph CrewAI AutoGen MCP Protocol A2A Protocol AI FinOps Token Optimisation Prompt Engineering RAG Systems Salesforce Communications Cloud Salesforce Agentforce Salesforce Marketing Cloud OSS/BSS TMF APIs Google Cloud / Vertex AI Microsoft Azure OpenAI Anthropic Claude OpenAI GPT JavaScript / Node.js Python Digital Transformation Enterprise Architecture AI Governance Change Management

Follow the Research

I publish new AI research every day. Topics range from agentic AI architecture to token economics, enterprise AI governance, and production deployment patterns.

Read the Journal → AI Tokenomics Guide