The YUKTAAI
Journal
Practical writing on building agentic AI, automating real businesses, and extracting measurable ROI from the tools that actually work.
How we built a lead qualification agent that works around the clock
A deep dive into the architecture, tooling, and decision logic behind an agent that processes 2,000+ inbound leads per week without human review.
Read article ↗The difference between RPA, workflow automation, and agentic AI
Why the tools your team used five years ago can't solve today's problems — and what to use instead.
35% faster lead response: how BIMA automated their sales triage
We rebuilt their inbound process from scratch using a multi-agent system. Here's exactly what we changed and why.
Where to start with AI automation: a framework for growing businesses
The most common mistake is automating the wrong thing first. This is the prioritisation framework we use with every new client.
Tool-calling, memory, and planning: how LLM agents actually work
A technical breakdown of how modern AI agents are structured — and the design decisions that separate reliable agents from unreliable ones.
Why most AI demos don't work in production — and how to fix that
The gap between a working prototype and a production agent is larger than most people expect. These are the edge cases that matter.
Measuring ROI on agentic AI: the metrics that actually matter
Beyond hours saved: how to build a business case for autonomous AI that your CFO will take seriously.