Project KnowledgeAsk for the insight you need, in the form you need—without a fixed management template.
AIKNOW Project brings information from your management tools, documents, email, chat and meetings into a shared knowledge layer. Explore project status and the reasoning behind decisions through conversation, with supporting evidence. Connected tasks, owners and deadlines can be created or updated within granted permissions; your team chooses how to manage the work.
Tasks, documents, email, chat and meeting records hold different parts of the project story. Understanding the current position and the reasons for a change often requires checking several sources.
The reasons behind decisions may be known only to a few people. When they are unavailable or leave the team, others can struggle to recover that context.
Teams may then repeat research or revisit questions that have already been resolved.
Deciding what to do next means understanding not only progress, but also issues, changes, risks, client requests, decisions and open items across the whole project.
Connecting information with its project context helps teams assess the evidence behind a decision and identify what still needs clarification.
AIKNOW Project organizes information from connected sources into a project knowledge layer: the relationships between goals, people, tasks, decisions, changes and deliverables. Its coverage and freshness depend on the connected sources and configured integrations.
Goals / Team / Progress / Risks / Open items
Decisions / Reasons / Specification changes / Agreements
Problems / Analysis / Responses / Lessons learned
Meetings / Email / Chat / Drawings / Specifications / Deliverables
Collects project information from configured sources, including meeting records, email, chat, documents, tasks and work logs, within the permitted access scope.
Connects people, documents, issues, decisions, changes and deliverables within their project context.
AI summarizes available records and traces discussions, recorded reasons for decisions and the history of changes. Its conclusions depend on the evidence available in connected sources.
Uses project knowledge to propose next steps and, through configured integrations, create or update tasks, assignees and deadlines automatically within granted permissions.
Automatically incorporates new records, decisions, resolutions and AI-synthesized lessons into project knowledge for subsequent use, without requiring review before each update.
Knowledge updates become part of daily work. AI-synthesized conclusions may contain errors; teams should check supporting records when relying on them for consequential decisions.
Retrieve relevant records and decision history to support everyday work and help new members get up to speed.
Review progress alongside recorded decisions, risks and open actions to decide what needs attention.
At the regular meeting on August 12, the client requested an additional heat-resistance requirement, and the team decided to change the housing material from Material A to Material B.
The updated schedule records a one-week extension for the prototype.
Supporting sources help users check an answer. Recorded reasons show the team’s stated rationale; AI-inferred explanations need assessment against the source records. Missing or conflicting records may require clarification.
Bring relevant records and decision history together to reduce repeated searches and support informed decisions within each user’s access scope.
Make recorded experience and decision history accessible to authorized team members, supporting handovers and continuity when roles change.
Retrieve previous resolutions, decisions and lessons as references for later projects. Teams assess their relevance to the new project’s conditions.
Connect specifications, design records, prototype results, quality issues and change history to assess related decisions.
Link design records, site issues, changes and client agreements to help site teams and managers check the same project context.
Connect requirements, design decisions, issues, changes, test results and incident records to support delivery and troubleshooting.
Bring hypotheses, analysis, decisions and results together so teams can revisit assumptions and assess the next step.
Other potential applications include trading and sales projects, equipment installation and factory improvement. Data sources and operating rules are configured for each deployment.
The systems below are examples of potential integration targets. Each integration requires assessment of APIs and access rights, followed by project-specific development and configuration.
Private deployment is available; the hosting environment and configuration are agreed for each project.
Configure knowledge access and integration permissions to match authorized users and operations.
Supporting source references help users inspect the evidence behind answers.
Audit logs support review of access and AI use; logging scope and retention are configured for the deployment.
Your team defines how projects are managed. Connected knowledge supports that approach, and granted permissions define which actions AI can perform.
Discuss your project information, management approach and integration needs.
We can help define the knowledge scope, access controls and permitted actions.
