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Project Intelligence
AI for project managers and PMO

Project status you do not have to double-check

Agents work with project data, remember decision history, and build reports from facts. Locally, in your environment, with confirmation for every action.

Request demo accessCapabilities
Status report · week 32Generated by the agent
Actual readiness61%
Claimed in the plan74%
Detected deviations
CRITAcceptance tests block the critical path: 9-day slip
MEDThree tasks outside agreed scope, no owner assigned
INFOMinutes of 28.07 are not reflected in the work plan
14 sources · all with linksRequires confirmation
100%Changes only after confirmation
On-premDeployed in your environment
MemoryDecision history is retained
FactsEvery reference is verifiable
Four agents

Specialized intelligence for each job

Management expertise encoded in software. Agents attach independently and work on the same project data.

Administrator

Digital administrator

Task breakdown, monitoring and control of project scope, plan updates, and routine project administration.

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Auditor

Reporting auditor

Honest status from actual progress: plan-vs-actual gaps and hidden deviations shown as they are.

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Risk manager

Risk manager

Blockers, critical-path analysis, and risk warnings before they hit the dates.

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Critical path

See where the schedule is slipping

The agent treats the schedule as linked work, not a picture: it recalculates how each delay moves the finish date.

Schedule · segment 3WEEKS 30—41
303132333435363738394041Stand delivery
Equipment installation
Acceptance tests
Staff training
Handover to operations
PLANCRITICAL PATHACTUAL DELAYSLIP FORECAST
FOUND BY AGENT · 06.08Schedule slip: 9 daysStand delivery closed a week later than planned; acceptance tests have not started. Handover moves from 06.10 to 15.10.
SOURCESTICKETS 4812, 4877, 4903MINUTES 28.07 · PLAN v14
Step 01Connecting sourcesTrackers, documents, correspondence, and ledgers inside the perimeter.
Step 02One project modelTasks, decisions, and agreements are linked into one picture with history.
Step 03Breakdown and scope boundariesReports, scope checks, and risk search — on a schedule or on demand.
Step 04A human makes the callChanges are applied only after the owner confirms them.
Working surfaces

Works where your data already lives

Jira, Confluence, BeOnTime schedules, web pages, documents, and reports. The agent works inside the systems you already know — and every change goes through your approval.

Jira

Work items and statuses

A new item starts as a prefilled form from the agent's proposal: adjust any field, then create or reject it.

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Confluence

Pages and knowledge

The agent marks changes in a page draft: accept or reject them block by block, publish only what you approved.

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BeOnTime

Schedules and Gantt

Durations, dependencies, constraints, and resources. Agent edits land on the live chart as review marks.

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Web pages

Collaborative browser

A live browser session: the agent works the page while you watch and take over at any moment.

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Documents

Working files

Session and project files (MD, TXT, ADF) open in the same editor: agent and human work on one live document.

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PowerPoint

PPTX reports

Update text and tables in an existing report deck for a new period — structure and design are preserved.

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Works with

Jira · Confluence · Bitrix24 (tasks and knowledge base) · Yandex Tracker · Yandex Wiki · MS Project (BeOnTime-compatible schedule editor) · web browser

One rule for every surface: you and the agent work on the same live document, and every change goes through review — proposal, approval, publish.

Security and sovereignty

Your data stays yours

The system runs on your own hardware — including AI servers for local inference. Data stays local and sovereign; when needed, compute runs on the resources of the Russian provider Cloud.ru.

Your own hardwareDeployed on your server estate — from corporate servers to dedicated AI servers. You control the hardware and its configuration.
Data sovereigntyIn a fully local installation, documents, correspondence, and project metadata are stored and processed only inside your perimeter — no byte leaves it.
Optionally — Cloud.ruCompute of the Russian provider Cloud.ru — directly, on the company's own terms and pricing.
Products and services

We support a successful rollout at every stage

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Implementation servicesRoadmap, setup, data migration, staged rollout.
Operational supportDedicated channels, release management, post-go-live optimization.
Hardware supplyServer capacity for running models in a closed environment — including AI servers for local inference.
PILOT ON ONE PROJECT

We will show the system on your project data

The demo test environment is deployed on your own equipment. Model inference runs on Cloud.ru resources or on your own hardware.

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