Give AI your
company’s judgment.
Tribety turns generic AI into company-specific AI through a Judgment Filter that makes your company’s judgment usable across the tools you already use.
The filter carries your direction, priorities, memory, and way of working into everyday AI.
A new employee gets answers that understand how the company thinks. A CEO drafts in language that reflects the company’s principles. An agent knows what fits, what to decline, and when to escalate.
Do we shape AI,
or does AI shape us?
As more people use the same generic AI systems, companies start to drift. Internally, work fragments as people use agents, tools, and workflows with different assumptions. Externally, the company’s voice and thinking begin to sound like everyone else.
The advantage is no longer the model alone. Models are becoming part of larger systems: agents, workflows, memory, interfaces, tools, and automation. That is where work will increasingly happen, and where company judgment needs to live.
The advantage is what the system carries: your company’s judgment, priorities, memory, and way of working.
Tribety helps companies give AI systems direction and stay in control of how AI shapes their work.
Customer journey.
Document intake
Before Tribety calibrates the filter, we collect company material that already carries its judgment.
Declared material shows what the company says it is: strategy, values, brand guidelines, CEO letters, onboarding material, and public communication.
Lived material shows how the company actually decides and acts: board minutes, budgets, investment priorities, post mortems, customer communication, compliance material, and real campaigns.
The most valuable material is where tradeoffs become visible: growth against quality, speed against caution, autonomy against control, or brand against commercial reality.
That is where company judgment can be found.
Tacit Grounding
Much of what a company runs on is never fully written down. It lives in experience, instincts, judgment, taste, timing, exceptions, and leadership intuition.
Tribety uses AI-guided interviews with the CEO and selected key people to surface knowledge that may not exist in documents.
When experienced people leave, the company can lose judgment, memory, shortcuts, and undocumented ways of reading situations.
Tribety helps preserve that knowledge before it disappears.
It can also turn tacit knowledge into narratives: examples, anecdotes, and situations that show how the company has acted before.
A company knows more than it can tell. Tribety makes that knowledge usable.
Calibration of the Judgment Filter
The Judgment Filter is not a prompt, a tone of voice setting, or another AI assistant with a different personality.
It is a coded layer of company judgment: the principles, behaviours, tradeoffs, relationships, memory, and tacit knowledge that guide how your company thinks and acts. The Judgment Filter consists of three parts.
ValuesFilters™
Capture the principles, priorities, tensions, and tradeoffs the company decides by.
InteractionFilters™
Guide how the company behaves across roles, audiences, relationships, and situations.
MemoryFilters™
Define what should be remembered, carried forward, made available again, and eventually forgotten.
The Tribety Equalizer is the calibration mechanism. It turns a core leadership question into a structured process: where are we today, and where do we want to go?
Leadership calibrates the company across 57 value pairs, organised across seven organisational layers. Each pair captures a real tension in how a company thinks and acts, such as tradition and renewal, caution and risk, autonomy and control, or expertise and accessibility.
The gap between today and the desired direction turns ambition into operational direction.
This is where identity becomes usable: not as slogans, but as calibrated tensions AI can act on.
The model is built on several years of combined experience in behaviour, communication, organisational psychology, strategy, and leadership. It is informed by thinkers such as Georg Simmel, Edgar Schein, Michael Polanyi, Gary Klein, Erving Goffman, George Herbert Mead, Anthony Giddens, and John Dewey.
The result is not a language layer, but a structured way to turn organisational judgment into something AI can use.
Adding the
normative layer.
Most AI systems can retrieve, summarise, automate, or imitate what a company has already said and done.
Tribety includes that descriptive layer, but adds a normative layer: the Judgment Filter helps AI understand how the company should judge, prioritise, escalate, explain, and act in new situations, when no written rule exists.
One judgment layer
across every tool.
Tribety does not force the company to replace the AI tools it already uses. With the filter in place, the company’s judgment can follow the work across the tools you already run:
The point is not the tool. The point is that every interface where people ask, write, decide, analyse, support, sell, plan, or explain can be guided by the same company judgment.
What becomes possible.
A real-time steering tool for leadership
For the CEO and leadership team, Tribety becomes a way to carry vision through the company as work happens.
When the world changes, the company can adjust. A market shift, acquisition, new strategy, crisis, regulation, repositioning, or leadership decision can be reflected in the calibration. That direction can then move through employees, agents, workflows, memory, context, and tools without weeks of meetings, repeated explanations, or lost momentum.
The Judgment Filter becomes a tireless AI coach inside the organisation, helping people and agents stay aligned with the company’s direction, priorities, behaviours, and decisions from the first prompt in the morning to the last decision at night.
Better output in daily work
AI output comes back closer to how the company thinks. Decisions reflect leadership logic. Customer answers carry the right priorities. New employees understand the company faster. Agents inherit direction instead of only executing tasks.
The memory cycle also makes work more continuous. Meetings, projects, decisions, and customer situations do not have to be reconstructed from scratch every time.
Easier to find. Easier to recommend.
Search is changing.
For years, companies have optimised for keywords. But as people increasingly ask AI systems, agents, and language models for advice, the question is no longer only which words a company uses. It is what story the company clearly represents.
AI does not only look for keywords. It looks for meaning, context, patterns, positions, and reasons to recommend one answer over another.
Through the Judgment Filter, the company’s direction, priorities, values, tradeoffs, memory, and way of working become more explicit and easier for AI to understand.
That can matter commercially. A company with a sharper story is easier for AI systems to recognise and recommend in the right situation.
If a customer asks for “a sauce that makes a €150 entrecôte feel justified”, the best answer is not just the sauce with the right keyword. It is the brand with the clearest story, the strongest position, and the most relevant meaning.
And an AI recommendation can be far more valuable than appearing as one option in a long search result. When ChatGPT, Claude, or another AI system recommends a company, the user often experiences it less like an ad and more like trusted advice. That can create stronger intent, higher trust, and better conversion.
Not only easier to find. Easier to recommend.
We make AI company-specific.
What this means financially.
Tribety makes the company more aligned and more efficient.
It improves AI economics by giving AI structured judgment, memory, and context, so the company does not rebuild its background in every prompt, workflow, or agent.
It reduces alignment waste by turning strategy, values, brand, leadership direction, and tacit knowledge into a living filter instead of another PDF, workshop, or consultant deck.
It lowers restart cost by helping people, agents, workflows, and teams continue from what the company already knows.
The result is less repetition, fewer loops, faster execution, better AI output, stronger recommendations, and a company that moves with more coherence and less friction.
It can also improve AI visibility and conversion. A clearer company story makes the company easier for AI systems to understand, recommend, and convert into high-intent customer interest.
Built to be trusted.
The filter lives with Tribety. Your operational data stays with you.
Tribety is platform agnostic, so the filter can work across the tools a company already runs while staying open to better tools as they arrive.
Because the company’s direction is calibrated and explicit, AI-supported decisions become easier to explain to a board, regulator, new employee, or the organisation itself.
MemoryFilters™ make memory intentional: what should be remembered, what should become longer-term knowledge, what should remain temporary, and what should not be carried forward.
Simple, by company size.
No lock in. No compromise. Tribety earns its place through performance.
Closing
The models will keep getting better. So will your competitors. What they will not carry is your company’s judgment: calibrated, grounded in tacit knowledge, preserved through memory, and present in every tool your people use. Company-specific AI, grounded in your judgment.
Questions
about the filters.
What are Judgment Filters?
Judgment Filters are the coded layers of your organization’s judgment that sit between your AI and the work it does. They’re not prompts, not policies, not rulebooks. They’re the narrative version of how your company actually thinks. Built so an AI model can use them as context when it acts on your behalf.
What’s the difference between ValuesFilters™, InteractionFilters™, and MemoryFilters™?
Three filters, one system. ValuesFilters™ encodes who you are: identity and judgment. InteractionFilters™ encodes how you relate to everything outside the company: clients, regulators, markets. MemoryFilters™ defines what the AI is allowed to remember and carry across conversations. Together they make a generic model behave like your company.
How are the filters built?
We start with three to five hour-long video sessions with leadership, then run a live Equalizer workshop that calibrates fifty-seven dimensions of how your organization thinks.
What is Tacit Grounding?
Tacit Grounding is the method we use to surface what your organization knows but hasn’t written down. Most of the judgment that runs a company lives in patterns nobody articulates: how meetings end, how exceptions get handled, how the experienced ones read a room. Tacit Grounding makes that ground visible and codable.
Does Tribety replace the AI tools we already use?
No. The filters sit between your existing AI (Claude, ChatGPT, Gemini, in-house models) and the work it does. Tribety is model-agnostic. The same filter files work across providers, which means you keep your stack and your contracts. We give the model your judgment, not a new model.
Why judgment and not rules or governance?
Rules produce rule-following. Judgment produces decisions that fit situations rules can’t anticipate. Governance frameworks tell an AI what not to do; filters tell it how your company actually thinks. The first is a fence. The second is character. Applied across industries, character travels further than fences.
How is our data handled?
The filters are yours. We code them; you own them. MemoryFilters™ defines what the AI is allowed to remember across sessions, by role and by topic. Designed against GDPR and the EU AI Act from the first line. Nothing leaves your environment unless your filters say they can.
Two ways
to start a conversation.
Request early access.
Tell us a little about your company and we will be in touch about getting started with Tribety.
Get in touch.
Questions about Tribety, the filter, or how it would work for your company? Send us a message.