The 10–40 Hour Problem
At Pingalaa LLC, our Naperville-based SAP consulting firm, our team had been producing the same types of documents for years — Software Requirements Specifications, Functional Specs, Technical Architecture Documents, Test Plans, API Documentation for SAP ecosystem implementations.
Each document took between 10 and 40 hours to produce. We had templates, but they were empty Word files with placeholder text. Every new engagement meant copying an old document, spending hours stripping irrelevant content, and manually filling in new details. The process was error-prone, mind-numbing, and a massive drain on our most experienced people.
"Each document took anywhere from 10 to 40 hours to produce. After watching one of our senior architects spend days creating a technical specification for a client's SAP S/4HANA migration, we knew something had to change."
— Bharath Rangashamaiah, Founder
The "Why Not AI?" Moment
In late September 2025, we asked ourselves a simple but powerful question: "Why are we still doing this manually?" AI can write code, generate images, have conversations — why can't it help us produce professional business documents with the same precision?
But the real insight went deeper than just saving time. AI didn't just make existing processes faster — it unlocked solutions that were previously out of reach. Building a tool that could semantically understand a project brief, infer the right context, and populate a complex technical document with accuracy — that would have required months of custom NLP research, large specialist teams, and significant infrastructure investment just a few years ago. AI made it something a small team could build and ship in weeks.
The same was true for Drift Guard. Real-time semantic analysis of meeting conversations — understanding not just the words but the meaning and relevance to an agenda — was the kind of capability that once demanded specialized ML expertise and purpose-built infrastructure. Today, AI puts that in reach for any team willing to build thoughtfully.
That's the philosophy behind chiti.ai: use AI to build what wasn't buildable before — not to replicate old tools with a chatbot layer on top, but to solve problems that genuinely required this technology to exist.
