AI should learn how your organization works.
The models are good and getting better, and they still do not know how your company prices a renewal, which customer is an exception, or how you like a follow-up written. That gap is the whole reason HexaHQ exists.
Generic capability is not the same as knowing your work
An AI that has read the whole internet still starts every task at your company knowing nothing about it. So people compensate. They paste the same background into every chat, explain the same rule again next week, and quietly accept that the AI will make the same mistake a third time. The work gets done, but none of what it took to get it right is kept.
The leverage is in taking on part of a person's job
The interesting thing is not an AI that answers questions well. It is an AI that can carry a specialized piece of someone's actual job, using the accumulated context that person relies on to do it. That means their preferences and their role, and it also means what the company has decided, what it has changed its mind about, and where the exceptions are.
The future of work is not one AI employee for every role. It is people working through specialized AI extensions that know how they and their organization work. Each one inherits the personal and organizational context that makes its decisions right.
Knowing the right thing is what makes reliable action possible
Much of the industry is racing to make AI know more about your company. That is worth doing, and on its own it is not enough: an AI with more retrieved documents is not the same as an AI that knows which rule is current, who set it, and whether it applies here. Get that part right and taking a real action stops being reckless. Get it wrong and access is just a faster way to be wrong in your CRM.
The context belongs to your company
The AI products your team uses today keep their own memory and context. That context does not move continuously between competing products. HexaHQ gives your organization a place for the durable knowledge, corrections, preferences, and working rules that should survive a change in AI client.
So the rules, corrections, approved facts, and saved processes live in HexaHQ, and they improve every time somebody corrects the AI while doing real work.
Once AI acts, control stops being optional
The moment an AI can write, send, update, or delete in a real system, an organization needs to say what it is allowed to do, have people act as themselves, and be able to show afterwards what happened. HexaHQ provides that, and it comes after the value rather than in front of it.
Why we work across AI apps
HexaHQ works with ChatGPT, Codex, Claude Chat, Claude Code, and Claude Cowork. Companies tend to pick one AI and go deep, so a tool has to be built deep into the one you chose. But teams rarely stay on one: the engineers end up somewhere different from the sales team, and whoever you standardize on today may not be the answer in a year. HexaHQ isn't tied to any of them, so the context your company builds stays yours as that changes.
Where we are
HexaHQ is early and shipping fast. If you want your team's AI to work the way your team works, in your real apps, we would love to have you try it, and to hear what breaks. Get in touch or start free.
Give your AI a real piece of your job.
Start with work you already need to do, and correct what it gets wrong. Free to start.