Probity handles the full lifecycle of a decision: from the moment someone says something that matters, through the challenge that makes sure it's sound, to the execution that turns it into a result.
Phase 1
Every day, your business generates more: more emails, more meetings, more Slack threads, more AI-generated content. The tools meant to help accumulate without filtering. They store without prioritising. They notify without discriminating.
The bottleneck for knowledge workers isn't information. It's knowing what to pay attention to.
Accept input from any source your team already uses. Email, voice recordings, meeting transcripts, chat messages, web clippings, mobile quick-capture. No new app to learn. No new habit to build. Probity meets your team where they already work.
Quick-capture from any device. Type a thought, paste a URL, forward an email, record a voice note. No forms, no categories, no required fields. Classification happens after capture, not before — because the moment you force structure on someone mid-thought, you lose the thought.
Every input is classified, prioritised, and routed automatically. Decisions are flagged for governance. Tasks are tracked with owners and deadlines. Context updates the relevant project. Noise gets explicitly dismissed — with a reason, not by accident.
Nothing leaves the distillation engine without accountability. Every item produces one of: a tracked task, a decision artifact, a project context update, or an explicit dismiss with reason. No “filed and forgotten.” No items drifting in limbo.
| Signal | What happens |
|---|---|
| A decision | Routed for bias-checking and governance tracking |
| An action | Created as a tracked task with owner, deadline, and priority |
| A commitment | Logged against the right project with follow-up date |
| A risk | Flagged immediately with severity assessment |
| Noise | Discarded explicitly — with a reason, not by accident |
Phase 2
AI agrees with everyone. That is comfortable, but it is not helpful. Probity is designed to do the opposite: challenge every consequential decision with structured rigour before you commit.
A comprehensive library of documented cognitive biases, organised by decision stage — from how you perceive information through to how you learn from outcomes. Confirmation bias, anchoring, sunk cost fallacy, groupthink, availability bias, and dozens more. Integrated directly into every analysis, not bolted on as a checklist.
Two-stage analysis: fast classification identifies the decision type, stakes, and relevant biases. Deep analysis steelmans the alternative position, surfaces hidden assumptions, and returns a clear verdict — CLEAR, CAUTION, or STOP — before you commit. Not advice. A structured challenge.
Every consequential decision goes through a structured challenge. Alternatives are explicitly surfaced. Confidence is scored. If you override a CAUTION or STOP verdict, you state your rationale — and that rationale is captured permanently. The goal is not to slow decisions down. It is to make sure the fast ones are genuinely good.
Every decision recorded with full provenance: what was decided, what alternatives existed, what biases were detected, what evidence was considered, who made the final call, and what happened afterwards. Immutable. Searchable. Built for the moment an auditor asks “why did you decide that?”
Over time, Probity learns how you and your team decide. Which biases appear most frequently. How quickly you commit to a position. Where your outcomes track well — and where they consistently do not. This is the feedback loop that makes judgment improve: measure, reflect, adjust.
Configurable rules that define when a human must review, when the AI can proceed, and what happens when a decision conflicts with your stated principles. Override tracking with rationale capture — every exception is recorded, never silent. Probity is designed to challenge, not to agree.
Every decision that passes through the Think Pipeline receives one of three verdicts:
Phase 3
The gap between a decision and something actually happening is where most organisations lose. Good intentions evaporate. Actions drift from what was agreed. Nobody records whether the outcome matched the decision. Probity closes that gap.
Built around Getting Things Done principles, with AI doing the heavy lifting on prioritisation, context management, and delegation. Actions flow in from distillation or direct input, each carrying the context of the decision that authorised them. Dependencies are tracked. Blockers are surfaced.
Instead of an overflowing backlog that creates anxiety rather than clarity, Probity presents the three to five things that matter most today. What is blocked and needs unblocking. What is overdue and needs attention. What can wait — and why it can wait. Clarity, not volume.
For delegatable work, AI agents handle the execution — drafting emails, scheduling meetings, generating documents, running analyses. The human decides. The AI executes. Every agent action is logged, governed, and reversible.
Every action records its outcome against the original decision. The loop closes: what was decided, what was done, and what happened as a result. Over time, this builds an institutional memory of which decisions led to which outcomes — the foundation for getting better at deciding.
Platform capabilities
Probity is our own technology — not a reskin of someone else's AI. Built because we needed it, refined by using it every day.
Our own memory architecture that solves the stateless problem at the heart of every AI deployment. Project context, decision history, and institutional knowledge — persisted across sessions and searchable. The AI remembers what matters because we engineered it to.
An operational view of every decision in your pipeline — what needs judgment, what's stale, what's blocked, and what's been completed. A decision health monitor that surfaces what you're avoiding.
MCP server for AI development environments. REST API for any application. Probity works inside the tools your team already uses — not as a separate app you have to remember to open.
Instead of checking five apps and twenty notifications, you get a single view: what happened, what it means, what needs doing, and what needs deciding. Prioritised by importance, grouped by project.
Model-agnostic
Probity works with Claude, GPT, DeepSeek, Grok, Gemini, and any future model that follows standard API conventions. AI models come and go. Your decision records and governance infrastructure need to outlast any single vendor's product cycle.
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