This year's Domino Enterprise AI Report found something worth sitting with. Even as AI capability climbed across almost every organization, 57% of enterprises say the returns still don't outpace what they're spending on it. Better models, more usage, and for most companies the payoff still isn't there.
We don't think that's a technology problem. The models are extraordinary and getting more so. The gap is what happens around them. The moment everyone has the same AI, the model stops being the advantage. What's left is where you point it, whose judgment shapes it, and whether you can actually trust what it gives you.
That's the gap we built Mallin to close, and we built it on something a model can't produce on its own: fifteen years of hard-won sales knowledge. The intuition, the deal specifics, the patterns you only learn from carrying a number and losing deals you thought you had. That experience is baked into how Mallin reasons.
It has to be, because the alternative is a real risk. Point a raw model at your deal and ask what to do, and it will confidently hand you a theory. It might sound sharp. It might also be wrong. Acting on a convincing, wrong theory doesn't just put the deal at risk, it hardens a rep around a bad assumption and walks them into mistakes that were avoidable. That's what governance is for: keeping the reasoning grounded in what's real, sourced so you can check it, and accountable to how your team actually sells. AI should sharpen a seller's judgment, not manufacture it.
So here's what Mallin does, and doesn't. Give it five fields about a deal and it reasons across the account, the people, and the context, then hands you a brief before the call: who's in the room, what they care about, the one thing that will decide it, and the questions that move it forward. Facts stay separate from hypotheses. Every claim is sourced. It won't invent a narrative to sound smart, because a brief you can't trust is worse than no brief at all.
And because that intelligence lives in the system, held to how your team sells, it doesn't depend on who happens to be at the keyboard, and it doesn't walk out the door when they leave. That's the difference between AI that makes one person faster and AI that makes the whole team better. It's the difference the Domino numbers are pointing at.
The companies that win the next phase of AI won't be the ones with the most of it. Everyone will have that. They'll be the ones who put judgment where it decides outcomes, grounded it in real experience, and made it something the whole organization can trust and build on.
That's the bet behind everything we're building.
Your first brief is free. See what your next call looks like when you already know what's driving it.