We build company brains.
We help companies organize what they know, make it useful to their people and AI, and build on what they learn - so the organization can move faster from a shared reality.
Avery is a specialist consulting and engineering partner. We work with you from the first assessment to a working prototype and implementation.
References
"...solving it together is the best possible way to navigate this once in a lifetime transformation. That quote stuck with me after our Product Management team offsite - and it came from someone who knows what he's talking about. We were joined by Avery Intelligence for a conversation on what it really takes to be an AI-native PM team. His concept of proactive company intelligence hit home: for product orgs going AI-native, having decisions and context automatically connected isn't a nice-to-have - it's the foundation everything else is built on. For our newly formed PM team at SAP Signavio, this was more than inspiration. It's the direction we're committed to."
Three ways to put AI to work.
AI becomes part of what your product does for its users.
AI changes how your team builds the product.
This is Avery's specialty.
All three matter. We focus on the shared understanding that helps the company work better as a whole.
Your company knows more than it can put to use.
Sales knows what a customer was promised. Support knows where they are struggling. Product knows why a feature was postponed. Leadership knows which priorities have changed.
Bringing those perspectives together takes effort. People chase updates, repeat explanations, and arrange meetings to reconstruct context that already exists somewhere in the business.
AI needs that context too. To contribute meaningfully, it needs to understand your goals, your customers, your decisions, and the reasons behind them.
A company brain makes that understanding available to the people and AI doing the work.
It connects information in your systems with knowledge held by your people. It helps the company keep track of what matters, what has been decided, what remains uncertain, and what is changing.
Structure your context
We organize the knowledge that matters to how your company operates: goals, customer needs, decisions, responsibilities, commitments, and lessons from previous work.
That means connecting relevant information across your tools and capturing reasoning that otherwise stays in someone's head. Sources, ownership, and uncertainty remain visible so people can check and improve the picture.
Make it accessible
We make that context useful where people and AI already work.
A colleague can understand why a decision was made. A customer team can find what was promised. An AI agent can work against the company's actual priorities rather than relying on a partial briefing.
People get the context they need, with access appropriate to their role.
Make it compound
We connect decisions to what happened next.
What did the team try? What worked? Which assumptions turned out to be wrong? What should change because of it?
Those lessons become part of the context for future work. The next person, project, or agent starts with what the company has already learned.
What this looks like
An illustrative customer-feedback workflow:
Several customers raise the same problem in separate meetings and support conversations. Each interaction looks minor on its own.
A company brain connects those signals, relates them to a current business goal, and brings the issue to the responsible team with the supporting evidence and relevant earlier decisions.
The team decides what to do. That decision becomes part of the shared context. When the result becomes available, it informs the next decision.
The company gets better at using what it learns.
You decide which actions AI can take independently and where a person needs to review or approve the next step.
From first assessment to a working company brain.
You leave with: a practical assessment, a prioritized starting point, and a clear scope for a prototype - including how you will judge whether it helps.
You leave with: a working prototype of your company brain, findings from testing it with your team, and an implementation proposal grounded in what you learned.
You leave with: an implemented company brain, agreed workflows, and clear ownership for its continued use and development.
Each stage has an agreed scope and price before work begins. You can assess the prototype before committing to implementation.
We are building this ourselves.
Avery is the lab behind Humfrid, our own company-brain platform.
It is where we develop and test how people and AI can share company context, investigate what matters, and learn from the work they do.
That work informs our consulting: how to capture useful context, how to keep it relevant, when AI should bring something forward, and where human judgment needs to remain in charge.
We combine that systems work with product discovery and hands-on implementation. We help you decide what is worth building, then work with your team to build it.
Where would better shared context change the work?
Start with a workflow where people spend too much time catching up, important information gets lost, or decisions are difficult to follow through.
We'll discuss where a company brain could help and whether an audit is the right next step.