Objective
This article explains how Outreach Admins can set up the Deal Agent to get AI-generated insights for sales methodology and opportunity fields, reducing manual data entry work for sales reps so they can focus more on selling-related activities.
Applies To
- Outreach Admins
- Outreach Users
Overview
Deal Agent is built for Account Executives who manage opportunities daily in CRM and Outreach. It transforms meeting conversations into accurate, reviewable deal insights and opportunity field recommendations, which you can manually or automatically accept, ensuring critical deal context is never lost.
Benefits:
- Minimizes manual data entry for sellers
- Ensures consistent application of the sales methodology
- Improves data accuracy for forecasting and reporting
Enabling AI Suggested Deal Updates
Sales Methodology
Suggested Deal Updates provide AI-generated insights for Sales Methodology fields, helping sellers reduce manual input and stay aligned with the sales process.
How to Enable
- Navigate to Side panel > AI Agents > Deal Agent > Sales methodology tab.
- Select a sales methodology that is relevant for your organization. Outreach supports MEDDPICC, MEDDIC, and Identify Pain & Champion as standard methodologies, and also gives you the flexibility to configure a custom sales methodology.
If you choose MEDDPICC, you will land on pre-defined fields and prompts.
Map the relevant Outreach fields to the respective methodology fields to complete the setup. You can also set the order of MEDDPICC fields by dragging.
Note: You cannot edit the prompt for standard sales methodology fields like MEDDPICC; however, you can add custom fields with editable prompts.
Adding Custom Fields
You can add custom fields by clicking the Add field button. Define the following for a custom field:
- Name of the field
- Guide the Deal Agent on the information it should look for
- Appearance: One line, two lines, bullet points, short paragraph, or prospect name
- Opportunity field mapping
- Update criteria: Auto update, Auto update if only vacant, or Update only after confirmation
You can also preview the results as shown above before enabling insights for a given field.
For a custom methodology, choose Custom methodology and follow the same process defined above for adding custom fields.
To learn about the Sales methodology field experience in the opportunity list view, click here.
Opportunity Fields
How to Enable
- Navigate to Side panel > AI Agents > Deal Agent > Opportunity fields tab.
- The Next steps field is active by default for Deal Agent insights.
- Follow the same process as defined above to enable insights for custom opportunity fields.
Best Practices for Instructing the Deal Agent
The Deal Agent doesn't just summarize meetings; it acts as a digital sales analyst that monitors your deals across multiple conversations. To get the best recommendations, your instructions should focus on what specific signals to look for.
Because the Deal Agent is "silent by default," it will only provide a recommendation if it finds explicit evidence in the transcripts. Use the following best practices to ensure your team gets high-signal, actionable CRM updates without the noise.
To ensure a quality insight is generated, you should share exactly what evidence the AI should look for.
- Vague: "Tell me about the budget."
- Precise: "Identify the specific dollar amount, budget cycle (e.g., Q3), or the name of the department funding this project."
Here are a few example prompts optimized for the Deal Agent's multi-meeting context:
1. Economic Buyer
The Goal: Identify the person with the "Power" and their specific stance on the deal.
Recommended Prompt: "Identify the individual(s) mentioned as having final budget or signature authority. Beyond just a name and title, summarize their specific criteria for ROI or any personal 'win' they've associated with this project. If multiple stakeholders are involved, synthesize the current consensus on our solution from the person with the highest authority."
2. Competitors
The Goal: Move beyond a "list of names" to understand the threat level and sentiment.
Recommended Prompt: "Extract any mentions of competing vendors, incumbent solutions, or 'do-nothing' internal processes. Focus on the prospect's specific comparison points (e.g., price, features, or ease of use). If the prospect mentions a preference for a competitor, summarize the 'why' behind that preference so the team can adjust the win strategy."
3. Closed Lost Reason
The Goal: A retrospective synthesis of exactly why the deal did not close, identifying the "primary driver" vs. "contributing factors."
Recommended Prompt: "Identify the definitive reason the prospect decided not to move forward. Synthesize the final decision-making criteria mentioned, distinguishing between the Primary Reason (e.g., a specific competitor win, a hard budget cut, or a missing technical requirement) and any Secondary Friction Points that slowed the deal down. Ensure the summary captures the prospect's final stance."
4. Renewal Risk
The Goal: Early detection of "Churn Signals" or declining usage/sentiment.
Recommended Prompt: "Analyze all recent meetings for 'red flag' signals regarding the current partnership. Look for mentions of budget cuts, dissatisfaction with support, or the evaluation of alternative tools. Highlight any instances where the customer mentions a lack of realized value or a change in the internal team that originally championed our product."
AI Insights Listed for Each Field
AI-generated insights help sellers quickly update fields using relevant content from meetings linked to the opportunity.
- For each field that has insights enabled, up to one AI-generated insight may be available.
- Sparkles appear next to the Opportunity name, denoting the number of fields with insights available for that Opportunity.
- Clicking the sparkle will open the slide-out pane > Insights tab, where the user can see the AI-generated deal summary, suggested updates pending acceptance, and auto-updated suggestions.
- Clicking on a field name under suggested updates will open the edit opportunity side panel highlighting the clicked field.
Sellers can:
- Accept an insight
- Dismiss an insight
- Click Copy to insert the insight into the field and then edit it as required
Source Details
Each source includes:
- Meeting title
- Transcript excerpt where the topic was discussed
- Timestamp showing when the topic was mentioned (e.g., 5:39)
- Date of the meeting
- Clicking on a timestamp opens the meeting recording in a new tab and starts playing from that exact moment
Opportunity List View — Sales Methodology Column
- Each field appears as an initial (e.g., M, E, D...).
- If a sparkle appears on an initial, it means AI insights are available for that field in that opportunity.
Opportunity Slide-Out — Methodology Tab
- Sparkles appear on the initials at the top of the Methodology tab.
- This signals that insights are available for those fields below.
Field-Level (Inside Methodology Tab)
- Within each individual Sales Methodology field section, the sparkle is shown near the insight card if suggestions are available.
These visual cues help sellers quickly identify where they can leverage AI to reduce manual effort and improve deal accuracy.
AI-Generated Deal Summary
AI-generated Deal Summary automatically transforms meetings, emails, and CRM data into a clear, structured snapshot of deal health, intent, risks, and next steps — giving sellers instant, trustworthy deal clarity.
You can view the summary under the Insights tab in the opportunity side panel.
Frequently Asked Questions
Are automatic updates available for all sales methodology fields and opportunity fields?
There are three field exceptions to automatic updates: Economic Buyer and Champion fields for sales methodologies. These fields are prospect lookup fields and will require a user to manually select the new prospect record to update the field. In addition, for the Next Steps field, multiple updates will be provided based on different meetings held; users will then need to manually append the updates to their Next Steps field.
When using the "accept update" workflow, will the new update overwrite the existing field value?
Yes.
Will new updates take into account the existing value of a field?
No, the recommended updates are derived from Kaia conversation intelligence and do not take into consideration the current value of a field.
What is the difference between configuring updates for Sales Methodology fields and configuring updates for all other opportunity fields?
Sales Methodology fields show up differently in the opportunity list view. There is a dedicated column for Methodology which will have your standard as well as custom methodology fields.

Are there any key limitations to the field types that can be updated?
Yes, in this release Deal Agent only supports automatic updates for free-text data types. The Deal Agent can recommend updates to other data types but will not be able to automatically update those fields.
Can the new opportunity field updates with Deal Agent be added to the Sales Methodology section?
No, admins would have to create a custom sales methodology if they want to append their sales methodology.
How often is the Deal Summary updated?
It gets refreshed every 24 hours. Outreach checks when the summary was last generated and from that timestamp considers a 24-hour window.
What data inputs are looked at when generating the Deal Summary?
10 Kaia calls, 80 emails, and structured opportunity data like Amount, Close date, Stage, etc.
Can customers customize the prompts used for standard sales methodologies?
No, standard sales methodologies come with predefined prompts. If a customer would like to define their own prompts, they would need to leverage a custom sales methodology.
Are custom sales methodologies also surfaced in the "Methodology" tab of the deal slide-out?
Yes, a customer has only one dedicated "methodology" for their org which would be surfaced in the Methodology tab of the deal slide-out, regardless of whether it is a standard or custom sales methodology. If a customer wants the Deal Agent to provide updates for even more methodology-type fields, then those insights would show with the rest of the opportunity fields rather than in the Methodology tab of the deal slide-out.
Are AI-recommended updates limited to fields that are synced to CRM with bi-directional sync?
No, the Deal Agent can suggest updates for any field.
Is field-level governance considered when AI-recommended updates are suggested?
Yes. If a user's profile has no permission to edit a field, then the user will not be able to accept or edit the field.
Is there an audit log that tracks which field updates were automatically updated by Deal Agent?
Yes. In the Insights tab, we track whether a field was auto-updated by the Deal Agent versus by a user.
If an AI-recommended update gets rejected, does the Deal Agent remember what data was rejected?
No. If a new meeting takes place where "John Smith" is again discussed as being the Economic Buyer, then the Deal Agent would make this AI-recommended update again. This is the intended behavior, so that the Deal Agent can detect changes to your fields, such as your Economic Buyer leaving the company and being replaced by someone else.
Are we showing change indicators for all fields updated by the Deal Agent?
No. Unless Outreach has previously shown a change indicator for a field, like close date, the Deal Agent will not show change indicators for new fields.
Does the AI Deal Summary sync to CRM?
No.
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