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AI FOR DISTRIBUTED TEAMS
Bring Field Updates Into One Clear View.
When information comes from people across locations and teams, bringing it together can take time. Fluid AI's Ground Pulse workflow helps collect responses and files, then summarise the conversation so teams can review what has come in.
Illustrative workflow. People review outputs and make decisions.
FLUID AI / WORKSPACEILLUSTRATIVE
Regional project check-in
Responses and files · Working summary
TEAM THREADProject check-in
WORKING SUMMARYReview with source replies
01
CompletedSite visits are reported as complete.
02
Open questionAccess details need confirmation.
Based on thread replies and attached note
WORKING REQUEST
Bring the submitted updates and attached field note into one summary while keeping each response available.
THE WORK BEHIND THE WORK
Field Information Arrives in Different Forms
When a team works across locations, the full picture rarely arrives in one message. Updates come in at different times, with replies and supporting files that need to be brought together before a central team can understand what is happening.
A summary is useful only when people can check the context behind it. Keeping original responses and attachments available helps colleagues examine recurring observations, clarify open questions and agree what needs a follow-up rather than relying on an isolated headline.
From Distributed Responses to a Working Summary
Collect responses
Gather replies and supporting files through the workflow.
Summarise the thread
Use AI to organise submitted information into a summary.
Review the findings
Check responses and source material before deciding on follow-up actions.
Available sources, integrations and output options depend on configuration. Review work before relying on it.
Bring responses together with context.
A shared thread can bring questions, replies and supporting files together, while leaving the original submissions available for review.
UPDATES ACROSS LOCATIONS
Separate messages and files
Teams often need to gather updates from people working in different places before they can see what needs attention.
- Responses arrive in different formats and at different times.
- Supporting files can become detached from the update they explain.
- Recurring themes are harder to spot without reading the original submissions.
FLUID AI GROUND PULSE
A collected thread and working summary
The demonstrated workflow gathers group replies and files in a thread, then uses AI to organise the submitted information.
- Post a focused question and collect responses in one place.
- Keep submitted text and supporting files available alongside the summary.
- Review the underlying updates before deciding what to follow up.
Workflow fit, available sources and controls depend on configuration. Compare the approach against your task and review outputs before relying on them.
See Field Collaboration in Action
Ground Pulse
Post a question to a group, collect replies and files, and use AI to summarise the thread.
Collect and Organise Team Updates
Group questions
Ask a focused question and collect responses in the thread.
Replies and files
Gather text responses and supporting material together.
AI-assisted summaries
Organise submitted information into a thread summary.
Distributed-team review
Use the collected responses as a starting point for follow-up discussions.
No output is guaranteed to be complete or accurate. Check relevant source material and results.
Bring Multiple Team Updates Together
A central team asks colleagues in several locations for an activity update. The thread keeps replies and supporting files together; a working summary helps surface topics for the next team discussion.
Set a focused question
Invite the group to share a progress update or report a specific observation.
Bring replies and files together
Submitted responses and supporting material remain part of the conversation.
Use the summary as a starting point
Check the original submissions and context before agreeing follow-up.
Illustrative only. A person checks the relevant source, output and next step before it is used.
Your work. Your requirements.
Every organisation has its own security and governance requirements. Evaluate them against the proposed deployment and configuration.
Deployment shaped around your needs
Discuss hosting and deployment requirements with the Fluid AI team. Options depend on your environment and use case.
Access configured for the workflow
Review who can participate, what information may be shared in a thread, and how submitted files are handled in the configured deployment.
Reviewable work and context
Check the original submissions and supporting material before relying on a generated summary. The summary does not replace review of underlying updates.
Security review with your team
Review architecture, data handling and security requirements with Fluid AI during evaluation.
FAQ
Frequently Asked Questions
Answers about ai field reporting & team collaboration.
START A CONVERSATION
Make Distributed Updates Easier to Review
See how Fluid AI can help bring responses and supporting information together for your team.
FLUID AI / AI FIELD REPORTING & TEAM COLLABORATION