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Turn real client conversations into Linkedin content that builds authority and attracts the right clients.
Turn real client conversations into Linkedin content that builds authority and attracts the right clients.
A lot of people have been asking what we're building.
Most assume it's a company brain. That's part of it. But only part.
Here's what we actually believe.
Every serious service firm will have one. That isn't a prediction anymore, it's a schedule.
McKinsey already built Lilli, an internal AI platform trained on close to a century of the firm's own knowledge, case work and expert interviews. The Big Four are running versions of the same thing. And the cost of building it drops every quarter, which means the 30-person boutique will soon have what only the 30,000-person firm could afford two years ago.
So the moat isn't the brain. Once everyone has one, having one stops being a differentiator. It becomes the cost of being taken seriously.
Right now almost every company brain points inward. It makes your team faster. It stops knowledge from walking out the door when a senior person leaves. Good. Necessary. Still table stakes.
Our bet is this: the firms that win will take their institutional knowledge and deploy it directly to clients.
Imagine being able to say to a prospect, we have 30 years of experience as a firm, and you get the benefit of everything we've learned solving this exact problem for companies exactly like yours. Not in a deck. Not on Thursday's call. Right now, whenever you need it.
Just think about what that changes.
A client hires you and gets access to your expertise during scheduled touchpoints. Calls, deliverables, check-ins.
Between those moments, they're on their own. They hit a question on a Tuesday afternoon and either it waits until the next call, or someone internal guesses at the answer.
Most of the value you sold them sits idle most of the time.
What if they weren't on their own?
The client opens a tool with your name on it. They ask the question they would have saved for Thursday. They get your firm's answer, grounded in your frameworks, your past engagements, the way you actually think about the problem.
You're not in the room. Your expertise is.
That changes the shape of the relationship. It changes what you can charge for. And it changes what happens when the engagement ends, because the thing they rely on daily has your logo on it.
We don't think so. The questions clients ask between calls are mostly not the ones you want to be billing for anyway. They're the small unblocking questions, the ones that get skipped entirely because nobody wants to book a meeting over them.
Answering those doesn't replace the engagement. It makes the engagement stickier, and it gives you a second thing to sell alongside it.
This is where we think most firms will get it wrong.
They'll build the internal brain, declare victory, and book the efficiency gain. Faster research. Fewer hours lost to searching. Real value, and easy to measure. Even McKinsey describes Lilli as having grown into an orchestration layer rather than a product. That’s a pretty big tell. For them, its just plumbing at this point.
But the industry is already moving off the model where efficiency is the win. As AI compresses delivery time, clients stop wanting to pay for the hours you saved, which is pushing firms toward productized and subscription-based advisory. If your only AI story is that your team works faster, you've handed the client an argument for a smaller invoice.
Deploying your knowledge to clients is a different story. It's a new thing to sell, not a cheaper way to sell the old thing.
The company brain is the infrastructure. Deploying it to clients is the product.
We're building for a future that looks different from reality today. As a startup, that's our job. You build for where it's going, not where it is.
Your job, is to test whether your knowledge, expertise and IP is valuable enough for your clients to pull it out of your hands. Pre-project, post, and during. If you want to test the waters, grab a time with our founders.
