By Ming-Chieh Lee, Founder & CEO of truley.AI
It Started With a Simple Observation
Over a career spanning more than three decades, I kept seeing the same thing: organizations holding meeting after meeting, with almost nothing to show for it. The same topics resurfaced. The same questions were asked again. And when each meeting ended, the decisions made, the context built, the insights surfaced — gone. The next meeting started from zero.
I watched smart, capable people burn hours digging through past meeting content, re-answering questions that had already been answered, or switching between tools just to confirm a decision that was made weeks ago. None of that should be human work. But in most organizations, that's exactly what the workday looks like — energy consumed by process, while the work that actually requires judgment gets pushed to the margins.
That's when I started asking: If AI could take over these repetitive, low-value tasks and give people's energy back to the work that actually matters — what would enterprise work look like? That question is where truley.AI began. And it's the reason Truley Companion exists.
We Were Our Own Harshest Testers
Having the idea was one thing. Building something genuinely useful — not just something that looked useful — was another. We ran Truley Companion on every internal meeting from day one. It was the most honest testing environment possible: we knew exactly where it fell short, and we knew exactly what "actually solving the problem" felt like.
Through repeated cycles of design, use, and refinement, the core capabilities took shape — real-time transcription, speaker identification, automated summaries and action items, and cross-meeting keyword search. Every feature exists because our own team hit that exact pain point first.
Early Users Gave Us the Honest Answers
Once we had something to show, we invited a handful of companies to test it in real working environments. Their feedback confirmed what we believed — and pushed us further.
A few moments stood out. One team turned a half-day search through past meeting records into a seconds-long keyword query. Another adopted the tool without changing a single existing workflow, simply by connecting it to Microsoft Teams. A third told us that speaker identification transformed their records from "what was said" to "who said what, and what was decided." And a fourth found that clear, structured communication records meaningfully shortened their internal collaboration cycles.
What this reinforced: enterprises don't need more features. They need a tool that actually gets used.
Where Enterprise AI Is Getting Stuck
Why have so many enterprises adopted AI without seeing the change they expected? McKinsey's 2025 research shows that 88% of companies are already using AI — but most remain in the experimentation phase, with only about a third scaling real applications. Deloitte found that while 66% of enterprises have seen productivity gains from AI, only 34% have used it to meaningfully reshape their business processes. MIT research points to the root cause: most AI systems can't retain context, adapt over time, or build on what came before. Every interaction starts from scratch. They don't know your organization. They don't understand how you work.
This isn't a technology problem — it's an adoption strategy problem. What enterprises actually need is an AI that integrates into daily workflows and continuously builds organizational context. That's precisely what we're building.
Where We're Headed
In the near term, our priority is reliability. AI entering the enterprise cannot yet operate without human judgment — and we're not pretending otherwise. Our focus is making AI behavior more controllable and predictable, so organizations can trust what they're handing off.
In the medium term, we'll continue deepening Truley Companion's three core capabilities: meeting intelligence, enterprise knowledge management, and cross-system AI workflow automation — so knowledge isn't just recorded, but genuinely circulates and compounds within the organization.
Long term, I want truley.AI to be the AI partner enterprises actually trust — not just a tool, but a system that grows alongside the organization and understands it more deeply over time.
I spent thirty years in the U.S. software industry. Taiwan's hardware capabilities speak for themselves — but the potential of Taiwan's software industry is still vastly underutilized. I want to take thirty years of accumulated experience, and build with a team that shares this vision: AI products that global enterprises can genuinely rely on.
Starting from Taiwan. Built for the world. Eyes on the horizon, feet on the ground. That's the standard I hold myself to — and the path truley.AI is on.