Nilai Partners helps owner-led companies of roughly 10 to 200 people make AI part of daily work, inside the workflows your team already runs. We measure where you start, make one change, and show you what moved.
or write to sibi@nilaipartners.com
Most companies did the sensible thing. They bought licenses, ran a pilot, and sent a note asking everyone to try it. A year later, it is hard to point to a single workflow that runs differently.
That is not a technology problem, and it is not your people. Adoption was never designed or measured, so it never became part of the work.
This works best when the person who signs off also sees the slow handoffs, the rework, and the late nights. It does not work as a box to tick.
Six weeks, one workflow, three phases. You see the starting point, the change, and the result side by side, and then you decide.
We pick one workflow together and measure how it runs today. How long it takes, where it stalls, and who carries the load.
We make one bounded human-plus-AI change inside the real workflow, with the people who do the work. Not a sandbox, and not a side project.
Results against the baseline. You decide whether to scale, adjust, or stop.
Stopping is a real option. You keep the baseline and everything learned, either way.
These results come from Sibi's work at Assent. Each one names who did what, because adoption is a team effort and the credit should land where it belongs.
ChatGPT Enterprise grew from 150 licenses in Q1 2024, at about 70% weekly active use, to 226 users by July 2024.
The workflow went from 275 to 300 hours down to 12 to 15 hours, protecting a client relationship worth about $200K ARR.
The Data Services team grew from 36 to 55 people, and eNPS rose 43 points. Growth that people actually wanted to stay for.
Cornerstone grew from 5 to 25 people, part of $2M in offerings revenue across multiple offerings.
Client work is underway with owner-led firms. It stays anonymous here. Results will be shared when they are measured and the client is comfortable with it, not before.
If we do not know how the work runs today, we cannot tell you whether anything improved. So we measure before we change.
A license is a purchase. Adoption is your team choosing the new way on a busy Tuesday. We track the second one.
One change at a time, with a clear end date and a clear choice. You are never locked into a program you cannot judge.
Most teams already pay for capable AI. We start there, and only suggest something new if the baseline shows a real gap.
I founded Nilai Partners in Ottawa. Before that, I was Consulting Director at Assent, where I helped define and establish the AI strategy role and led a global team of 55+ people.
What I learned there is simple. AI sticks when it lives inside the work people already do, when someone measures what changed, and when the owner gets a straight answer about whether it was worth it. That is the whole practice.
Tell me about the workflow that frustrates you most. We can meet in Ottawa or talk on a call. No pitch deck, just a conversation about whether a six week proof makes sense for you.