Read the record
Brings the opportunity, account, stage, value, activity, and follow-ups into one grounded view.
AI Agent feature demo / CRM workflow
CRM context, turned into a next action.
This 36-second demo shows an AI Agent reading the context around a stalled deal, surfacing the important signals, preparing a manager update, and creating a follow-up task from an explicit user request.
Demonstration only. The CRM workspace and data shown are illustrative; this is not a live product or customer deployment.
- Format
- Feature demonstration
- Surface
- CRM dashboard + AI Assistant
- Flow
- Signal → update → follow-up
- Status
- Demonstration only
01 / The feature
Let the agent do the context gathering.
The agent begins with the CRM record rather than a blank chat. It brings together the opportunity, account, stage, value, activity, and open follow-ups so the user can see why a deal needs attention without manually stitching the context together.
The demo flow
A clear path from a stalled signal to follow-through.
- 01Inspect the deal→
- 02Surface risk→
- 03Prepare an update→
- 04Request follow-up→
- 05Create the task
02 / Watch the feature
A concise, end-to-end interaction.
The video uses demonstration data to show the interaction as a product flow, from opportunity signal to a scheduled follow-up task.
03 / Capabilities demonstrated
Useful AI needs a path to action.
Surface the risk
Calls out why the opportunity needs attention, including stalled progress and overdue action.
Prepare the update
Drafts a concise manager update from the CRM context instead of asking the user to recreate it.
Create follow-through
Creates a scheduled follow-up task only after the user explicitly asks for the next action.
04 / Product decision
Keep analysis and action in the same conversation.
The agent earns trust by making its reasoning inspectable and keeping action tied to a direct user instruction. The result is a workflow that shortens the distance between understanding a problem and taking the next responsible step.
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01
Ground the response
Start from the CRM record so the assistant can explain the signals behind its recommendation.
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02
Make risk legible
Turn scattered status, activity, and follow-up information into a useful view of deal health.
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03
Offer a next step
Move beyond summary with a concrete, context-aware action the user can ask the agent to take.
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04
Respect user intent
Create the follow-up only after the user explicitly requests it, then report the resulting task.
CRM AI Agent / Feature demo