Mind AI

The copilot that knows your strategy.

Mind lives in every MindPPM screen, fed by your institution’s context — strategic plan, OKRs, projects, capacity, budgets. It reveals, orients, prepares. You decide.

Try it

Ask a question. Watch where the answer comes from.

A scripted demonstration — the answers below are prepared. What is real is the mechanism: every sentence rests on identified context levels, and cites what fed it.

Mind Scripted demonstration

Context used

  • L1 Structured context OKRs, conventions, scoring
  • L2 Vector RAG Strategic plan, history — filtered by your rights
  • L3 Targeted adaptation Your scoring logic, once stable

The model is never retrained on your data.

The modalities

Four ways to work with Mind.

Text

Conversation anchored in your context

Rephrase an intuition, analyze a project, draft an OKR, prepare a committee brief. Every answer cites its sources — you trace back to the original data in one click.

Explore → Voice

Dictate, or converse hands-free

Dictation transcribes your voice on the spot; conversation mode lets you talk without hands, Mind answering out loud. Transcription and speech synthesis run on your infrastructure — no audio stream leaves.

Explore → Clip

Capture the screen, the voice, the meeting

A recorder right in the browser: narrated screen capture, voice note, team sync. Every clip is transcribed and summarized automatically, then shareable through a password-protected link.

Explore → Document

From first draft to a document in your own template

Mind writes the narrative sections of a business case or scoping note from the entity’s data. The .docx or .pptx file is produced by a deterministic engine — logo, colors and layouts inherited straight from your corporate template. Nothing is published without your approval.

Explore →

What Mind does for you

Rephrase an idea

An intuition becomes a structured proposal: problem, value, alignment with the strategic plan.

Analyze a project

Risks, dependencies, budget drift, weak signals — the analysis cites its sources, line by line.

Draft an OKR

Objective and Key Results calibrated on the strategy’s real priorities, not generic criteria.

Prepare a committee brief

The week’s executive summary: pending arbitrations, projects at risk, decisions to make.

The context

Three levels, zero retraining.

PPM data changes at three speeds: timesheets move daily, requests weekly, the strategic plan yearly. Retraining a model handles none of the three. Mind injects your context at every call, in three layers.

The base model is never retrained on your data. We re-index what changes, when it changes.

  1. Level 1

    Structured context

    Active OKRs, tenant conventions, scoring configuration, resource overview — small, always relevant, injected directly.

  2. Level 2

    Vector RAG

    Strategic plan, past requests, delivered projects, committee minutes. Semantic search: only relevant items surface, and never a document you are not allowed to read — access rights are propagated into the index itself.

  3. Level 3

    Targeted adaptation

    Once your scoring logic has settled, a light adaptation can internalize it. A late and optional step, never the foundation.

Sovereign by construction

Mind runs on your infrastructure. Each tenant picks its engine, no steering data leaves, and every analysis cites its sources.

AI & Sovereignty

See your blind spots.

A demonstration on your use cases, not a generic product tour.

Request a demo