AI Support for Project Workflows

Within Agile, users can use the AI Assistant to get guidance on day-to-day project management activities.

The AI Assistant can help explain steps, summarise project information, and guide users through connected workflows.

Users can ask:

• What is the best way to track open RFIs from the project workspace?
• How can I prepare a project update based on the latest correspondence?
• Create a list of outstanding actions from these meeting notes.

This helps users reduce manual review time and keep project information easier to manage.

AI for Document Organisation

Agile is used to store and manage project documents, drawings, files, and project records.

The AI Assistant can help users understand how to organise information so it remains easy to find and use later.

Users can ask AI to help with:

1. Summarising project documents.
2. Finding relevant project records.
3. Preparing action lists.
4. Explaining document workflows.
5. Reviewing information before meetings.
6. Identifying where a document should be stored.

Example prompts:

• Summarise the key actions from this project document.
• Create a list of open items from these meeting notes.
• Help me prepare a short project update from the latest uploaded documents.

Cross-Module Assistance

Methvin AI can support questions that involve more than one application.

This is useful because construction workflows often move between Takeoff, Estimating, Gantt, Job Costing, BIM, Correspondence, and Agile.

For example:

• How do I use quantities from Takeoff inside Estimating?
• How can I connect a project communication to a document stored in Agile?
• How do I use project information from Agile when preparing a correspondence reply?
• How can I track a cost-related issue from Correspondence into Job Costing?

This makes the AI Assistant useful for onboarding, training, and helping users understand how Methvin modules work together.

AI for Task and Action Tracking

Project teams often need to track actions across documents, meetings, correspondence, and internal discussions.

The AI Assistant can help users turn project information into clear action items.

For example, users can ask:

• List the open actions from this project update.
• Summarise which tasks need follow-up this week.
• Create a short action list from this correspondence thread.

The AI Assistant can help users identify:

1. Pending tasks.
2. Open issues.
3. Follow-up items.
4. Responsible team members mentioned in records.
5. Dates or deadlines mentioned in project communication.
6. Items that may need to be moved into a task or workflow.

Users should still verify the final action list before assigning work or making decisions.

AI Onboarding and User Support

New users can use Methvin AI as an interactive guide while learning Agile and other Methvin applications.

Instead of searching through separate user guides, users can ask the AI Assistant direct questions about the workflow they are using.

For example:

• How do I create a new Agile workspace?
• How do I add project documents to Agile?
• How do I attach a project file to a correspondence message?
• How do I move from project documentation to formal correspondence?

This is useful for training new team members and helping existing users complete unfamiliar workflows faster.

AI for Project Decision Support

Methvin AI can help users prepare better project decisions by organising information and highlighting important project records.

The AI Assistant can summarise data, surface relevant documents, and provide a clearer view of what has already happened in the project.

This may help with:

1. Preparing for project meetings.
2. Reviewing outstanding actions.
3. Checking related communications.
4. Understanding project history.
5. Supporting internal discussions.
6. Preparing summaries for managers or stakeholders.

AI should be used as a support tool only. Final decisions should remain with the responsible team members, project managers, engineers, contract administrators, or other qualified professionals.

AI and Agile Documentation

The Agile workspace helps teams keep project documents organised in one central location. AI can support this by helping users understand, summarise, and locate documents more efficiently.

For example:

• Find documents related to the latest design revision.
• Summarise the uploaded document for the project team.
• What information from this document should be included in a correspondence reply?

This helps maintain a stronger link between project documentation and project communication.