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Every deal is different. The same use case might resonate as “Accelerate Sales Cycles” for one buyer and “Increase Revenue per Rep” for another—even though they’re calculating the same value. Automations use AI to rewrite your business case content to match your specific buyer’s context, language, and priorities. Instead of manually editing use case names and descriptions for every deal, let AI tailor them automatically.
Automations are in Beta. We’re starting with use case customization and expanding to input suggestions, CFO reviews, and discovery call analysis soon.

Why Automations Matter

Your Value Framework provides standardized use cases that work across many deals. But the most effective business cases speak directly to each buyer’s unique situation. Without Automations:
  • Generic use case names like “Reduce Manual Data Entry”
  • Standard descriptions that don’t reference buyer-specific context
  • Time spent manually rewriting content for each deal
With Automations:
  • Context-aware names like “Eliminate Manual Reporting for Finance Team”
  • Descriptions that reference your buyer’s specific challenges
  • Tailored content in seconds, not hours
Automations analyze your deal context—discovery notes, call transcripts, CRM data—to generate suggestions that sound like you wrote them specifically for this buyer.

Accessing Automations

Automations live in the Copilot panel, your AI assistant within every business case.
1

Open the Copilot panel

Look for the Copilot icon on the right side of your business case. Click it to open the Copilot panel.
2

Navigate to Automations

In the Copilot panel, select “Automations” from the menu. You’ll see available automation options.
3

Choose an automation

Currently, “Customize Use Cases” is available. Additional automations are coming soon.

Customize Use Cases

The Customize Use Cases automation rewrites your use case names and descriptions to match your specific buyer’s context.

How It Works

When you run this automation:
  1. AI analyzes your deal context – Discovery notes, call transcripts, stakeholder information, industry, and company details
  2. Generates tailored suggestions – AI rewrites each use case name and description to resonate with this specific buyer
  3. You review and accept – Navigate through suggestions, accepting the ones that improve your business case
  4. Changes apply instantly – Accepted suggestions update your business case immediately
The more deal context you provide (discovery notes, call transcripts), the better your suggestions will be. Quality inputs lead to quality outputs.

Running the Automation

1

Open Automations in Copilot

In your business case, open the Copilot panel and navigate to “Automations”.
2

Click 'Customize Use Cases'

Select the “Customize Use Cases” card. AI begins analyzing your deal context and generating suggestions.
3

Wait for suggestions to generate

AI generates customized names and descriptions for each use case in your business case. This typically takes 10-30 seconds depending on the number of use cases.You’ll see a spinner while suggestions are being generated, and a counter showing how many suggestions are ready.
4

Review suggestions

The Copilot panel displays suggested changes for your use cases. The business case automatically highlights the use case being reviewed, making it easy to see the suggestion in context.

Reviewing Suggestions

Once suggestions are generated, you’ll see:
  • Suggestion counter – Number of pending name and description suggestions
  • Navigation arrows – Move between use cases to review each suggestion
  • Accept All button – Apply all suggestions at once
  • Cancel option – Discard all suggestions and return to the automations menu
Use the arrow buttons to move between use cases. As you navigate:
  • The business case automatically scrolls to highlight the current use case
  • You can see the original name/description alongside the AI suggestion
  • The interface shows which use case you’re reviewing and how many remain

Accepting Suggestions

You have two ways to accept suggestions: Accept All – Click “Accept All” to apply every suggestion at once. This is fast and works well when AI suggestions are consistently good. Accept Individually – Navigate to each use case and accept or reject suggestions one by one. Each accepted suggestion updates the business case immediately.
Accepting a suggestion permanently replaces the original text. If you want to keep the original, reject the suggestion and move to the next one.

Canceling the Automation

If you decide not to use any suggestions:
  1. Click “Cancel Automation” at the top of the panel
  2. All pending suggestions are discarded
  3. Your business case remains unchanged
  4. You return to the main Automations menu
Canceling discards all suggestions, even ones you haven’t reviewed yet. Make sure you don’t want any of the suggestions before canceling.

Understanding the Suggestions

What Makes a Good Suggestion
AI-generated suggestions improve your business case when they:
  • Reference specific buyer context – “Reduce time spent on quarterly compliance reports” instead of “Reduce manual reporting time”
  • Match buyer language – Use terms your buyer used in discovery calls
  • Align with stakeholder priorities – Emphasize aspects that matter to the buying team
  • Stay accurate – Maintain the underlying value calculation while improving clarity
What to Watch For
Not every suggestion will be perfect. Review carefully for:
  • Accuracy – Does the suggestion correctly describe what this use case calculates?
  • Relevance – Does it align with what you learned in discovery?
  • Tone – Does it match how your buyer talks about their challenges?
  • Specificity – Is it appropriately specific without overpromising?
If suggestions miss the mark, add more deal context to your business case (discovery notes, stakeholder details) and run the automation again. Better context leads to better suggestions.

Examples of Customization

Original Use Case Name:
“Improve Sales Team Efficiency”
AI-Customized Name (for a healthcare deal):
“Reduce Time Spent on Patient Data Entry for Clinical Staff”

Original Description:
“Our solution automates repetitive tasks, allowing your team to focus on high-value activities.”
AI-Customized Description:
“By automating patient data entry across your 15 clinics, your clinical staff can redirect 8 hours per week toward direct patient care, improving both efficiency and patient satisfaction.”
Notice how the customized version references specific buyer details (15 clinics, clinical staff, patient care) that make the value story more concrete and compelling.

Best Practices

The automation uses your discovery notes, call transcripts, and deal details to generate suggestions. The more context you provide, the better your suggestions will be.
AI suggestions are good starting points, but you know your buyer best. Don’t blindly accept everything—verify that suggestions align with your understanding of the deal.
Wait until you have substantive deal context from discovery calls. Running automations without context produces generic suggestions that won’t improve your business case.
If you’re seeing consistently good suggestions, use “Accept All” to save time. But spot-check a few first to build confidence in the quality.
If you learn new information about your buyer’s priorities or challenges, run the automation again. Fresh context produces fresh suggestions.
Automations handle the heavy lifting, but you can still manually refine use case content afterward. Use both for the best results.

Coming Soon: Additional Automations

We’re expanding automations beyond use case customization. Here’s what’s coming:

Suggest Input Values

AI will analyze your deal context and suggest appropriate input values for your use case calculations—team sizes, hourly rates, time spent on tasks—based on what you’ve learned in discovery.

AI CFO Review

Get AI-powered feedback on your business case from a finance perspective. This automation will identify potential weak spots, suggest areas for stronger justification, and help you prepare for CFO-level scrutiny.

Discovery Call Analysis

Automatically extract key insights from call transcripts and discovery notes to populate your business case context. This automation will identify pain points, stakeholder priorities, and value drivers mentioned in conversations.
These automations are in development. We’re launching them as they’re ready, with each one appearing in your Automations panel when available.

Troubleshooting

This usually means AI doesn’t have enough deal context. Add more discovery notes, stakeholder information, or call transcript summaries to your business case, then run the automation again.
Check that you have visible use cases in your business case. If all use cases are hidden, the automation has nothing to customize. Unhide use cases and try again.
Generation time depends on the number of use cases and the complexity of your deal context. Most complete in 10-30 seconds. If it exceeds a minute, refresh your browser and try again.
You can manually edit the use case name or description to revert it or make adjustments. Click into the use case and update the text as needed.
Make sure you have at least one visible use case in your business case. If you still don’t see the automation, you may not have access to Beta features yet.

Providing Feedback

Automations are in Beta, and your feedback shapes how they evolve. If you encounter issues or have suggestions for improvement:
  • Note which suggestions worked well and which didn’t
  • Identify patterns in suggestion quality
  • Share feature requests for new automations
Your input helps us make automations more valuable for everyone.
With automations, you can deliver buyer-specific business cases without spending hours customizing content manually. Let AI handle the tailoring so you can focus on conversations that matter.