From Context to Close: The New Business Case Builder
Learn how Minoa's redesigned Business Case Builder uses AI to recommend the right value stories and help sales teams build compelling ROI cases in minutes, not days.
Business cases shouldn't be bottlenecks.
But for most B2B sales teams, they are. A rep discovers the perfect opportunity. The champion is engaged. The timing is right. And then... they wait. Three days for the Value Engineering team to build a business case. Five days to get customer inputs. A week for revisions.
By the time the business case is ready, the deal momentum is gone.
We built Minoa to solve this problem—to give every seller the ability to create credible, customized business cases without waiting for scarce VE resources. Today, we're taking that vision further with a completely redesigned Business Case Builder.
The new experience is faster, smarter, and more intentional. Let's walk through what changed and why it matters.
The Problem: Cognitive Overload in the Old Flow
Here's what we learned from watching thousands of business cases get created:
The original builder tried to do everything at once. Context gathering, use case selection, input management, and customization all happened in a single, sprawling interface. It worked—our customers have created tens of thousands of business cases with it—but it created unnecessary friction.
The cognitive load problem: Users had to think about three different things simultaneously. What context should I provide? Which use cases apply? What inputs need customization? Each question fought for attention.
The decision paralysis problem: When faced with 15+ use cases to choose from, most AEs defaulted to the same familiar options or skipped use cases entirely. They weren't being lazy—they genuinely didn't know which value stories would resonate with their specific buyer.
The lost context problem: Important details from discovery calls, Salesforce notes, or uploaded documents often got overlooked because there was no structured way to feed them into the system.
One VP of Value Engineering told us: "My team loves the tool, but onboarding new sellers takes longer than it should. There's too much to explain at once."
We knew we could do better.
The Solution: Three Steps, One Clear Path
The new Business Case Builder separates the workflow into three distinct steps—each with a single job to do.
Step 1: Provide Context
The old way: Start with a blank slate and try to remember everything relevant about the deal.
The new way: Dump everything you know—call transcripts, Salesforce opportunity data, uploaded files, free-text notes—and let the system do the organizing.
This step is pure input. No decisions required yet. Just give the system the raw material it needs to understand your deal.
Why this matters: AEs are great at gathering context through discovery. They're less great at structuring it for value calculations. By separating "provide information" from "make decisions," we let them focus on what they do best.
Pro tip: The more context you provide here, the better the recommendations in Step 2. Paste in your discovery notes. Upload that competitive battle card. Add the customer's annual report. The AI reads all of it.
Step 2: Select Use Cases (Powered by AI Recommendations)
This is where the magic happens.
Based on the context you provided, Minoa's recommendation engine analyzes your entire use case library—every calculation, every value driver, every framework your Value Engineering team has built—and surfaces the ones most likely to resonate with this specific buyer.
What the AI considers:
- Industry and company size from Salesforce
- Pain points and priorities mentioned in call transcripts
- Stakeholder titles and buying committee composition
- Competitive signals and incumbent solutions
- Deal stage and value
- Historical patterns from similar won deals
You see 4-6 recommended use cases, each with an explanation of why it was suggested.
The interface: We designed this like a shopping cart because that's a pattern everyone understands. You can:
- Review the AI's recommendations
- Add use cases with one click
- Browse the full library to find alternatives
- Compare multiple options side by side
- Remove items that don't fit
The AI does the thinking. You stay in control.
Why this matters: Your Value Engineers have built sophisticated frameworks capturing years of institutional knowledge. This step ensures that expertise reaches every seller on every deal—even when the VE team isn't in the room.
Early results from beta testing: 3x more use case diversity across deals. AEs are discovering value stories they never would have selected on their own, and they're working.
Step 3: Review and Tailor Inputs
The final step shows you every input pulled from the selected calculations in one clean, scannable list.
No more hunting: Previously, inputs were scattered across different sections. Now they're all in one place.
Fast refinement: Use Tab to move through inputs quickly. Adjust assumptions, add customer-specific data, or leave the defaults if they're accurate.
Full transparency: Every calculation shows its logic. If a customer or CFO asks "where did this number come from?" you can explain it confidently.
Why this matters: This step is where generic becomes specific. The framework is your starting point, but you're tailoring it to this exact customer, this exact deal, this exact buying committee.
Pro tip: Focus on the inputs marked as "high impact." These are the variables that move the ROI needle most dramatically.
Who Benefits and How
Account Executives: Speed Without Sacrifice
Before: Wait 3-5 days for Value Engineering support, or skip the business case entirely.
After: Create a credible, customized business case in under 15 minutes.
The unlock: You're no longer bottlenecked by VE capacity. You can iterate on business cases as the deal evolves. You can test different value angles before customer meetings. You can respond same-day when a champion asks "what's the ROI?"
Value Engineers: Scale Your Expertise
Before: Personally build 60-80% of business cases. Miss strategic opportunities because you're swamped with tactical requests.
After: Your frameworks do the work. You focus on the complex deals, the executive presentations, the methodology refinement.
The unlock: The AI recommendations are powered by your use case library and internal notes. Your judgment on "when to use this value story" now guides every seller. You've gone from doing the work to architecting the system.
Sales Leaders: Visibility and Consistency
Before: Wide variance in value messaging. No idea which reps are building business cases. ROI claims that vary wildly across the team.
After: Standardized frameworks. Adoption visibility. Consistent value narratives that withstand procurement scrutiny.
The unlock: You can finally answer the question: "Are we systematically proving value, or just winging it?"
Real-World Impact: What We're Seeing
We've been beta testing the new builder with select customers over the past six weeks. Here's what's changed:
- 47% faster business case creation—from first click to shareable output
- 3x more use case diversity—sellers exploring value angles they previously ignored
- Higher survey response rates—business cases built with AI recommendations see 15% higher customer engagement with input surveys
- Reduced VE support requests—40% fewer "help me build this" Slack messages
One AE told us: "I used to dread building business cases. Now I actually look forward to it. It's like having our best Value Engineer whispering in my ear on every deal."
Getting Started
The new Business Case Builder is available now for all Minoa customers.
To use it:
- Navigate to Business Cases → Create New
- You'll see the new three-step flow automatically
- No training required—the interface guides you through
For Value Engineering teams:
Your existing use case libraries work seamlessly with the new builder. The AI recommendations pull from your current framework.
Want to improve recommendations? Add "internal notes" to your use cases explaining when they work best. These notes are invisible to customers but help the AI make smarter suggestions.
Need help? Our team is running live walkthroughs all week. Book a 15-minute session.
What's Next
This release is the foundation for where we're headed with intelligent business case creation.
On our roadmap:
- Learning recommendations: The AI will improve over time based on which use cases correlate with won deals
- Persona-specific suggestions: Different recommendations for CFO-led deals vs. Legal Ops vs. IT
- Automatic input suggestions: Pre-populate inputs based on conversation data and historical benchmarks
- Multi-stakeholder business cases: One click to generate different versions for different buyers
We'd love your feedback as we build. What would make this even better for your team?
The Bigger Picture
Business cases exist for one reason: to help customers make confident buying decisions.
But too often, they become internal bottlenecks instead of customer enablement tools. Sellers avoid them because they're hard. Value Engineers become bottlenecks because they can't scale. Customers receive them late or not at all.
The new Business Case Builder changes that equation.
Your Value Engineering team builds the framework once. The AI recommendations ensure it gets applied correctly. Your sellers execute independently. And your customers get the ROI justification they need to buy with confidence.
Fast, smart, and intentional.
That's what value selling should feel like.
Ready to see the new Business Case Builder in action? Book a demo for a personalized walkthrough.