Salespeople live in conversations. Discovery calls, demos, negotiations, it’s all about listening, asking the right questions, and moving the deal forward. But the reality is, every call also generates homework: notes to clean up, CRM fields to fill, next steps to capture, and insights to share with the team.

That’s where AI note-takers have stepped in. Tools like Microsoft Copilot, Zoom’s AI Companion, Google Gemini, Fireflies, and Otter.ai will happily give you a transcript, maybe even a neat generic summary.

And that’s helpful, until you realize those summaries all look the same: who spoke, a few key points, and some action items.

The problem? Sales isn’t one-size-fits-all.

A SaaS discovery call, a complex enterprise negotiation, and a boardroom update all require different outcomes. Yet generic AI note-takers aren’t built to understand those nuances.

Why Generic AI Notes Fall Short

Imagine running a discovery call for a SaaS product. The AI tool spits out a neat recap: who attended, key discussion points, and some action items.

But what you really needed was:

• A quick MEDDIC breakdown: Metrics, Decision Makers, Pain Points.

• Buying timeline and budget signals.

• Competitive landscape cues dropped in passing.

• Concise next steps for your pipeline review.

That’s not in the generic summary. It’s not designed to capture the nuances of your sales methodology. So you’re back to re-listening, re-reading, and re-writing, defeating the purpose of automation.

Enter Custom AI Summaries

This is where the story shifts. Instead of generic recaps, what if you had a way to design your own AI playbook? One that listens to the transcript through the lens of your sales goals and outputs exactly what your CRM (and your manager) needs?

That’s the core idea behind Optiverse’s approach: custom protocols, templates that map directly to the outcomes you want from a call.

How It Works in Practice

With Optiverse, you don’t just get a “summary.” You get structured outputs tailored for sales:

• Ready-made sales protocols: Start with pre-built templates like MEDDIC, SPICED, or BANT.

• Custom sections: Create fields for metrics, objections, buying signals, or anything else you track.

• Adaptable prompts: Refine the AI instructions so the summary reflects your industry, your sales cycle, your buyer persona. You can even start the protocol template from scratch.

• CRM integration: Push the results straight into HubSpot, Salesforce, or wherever your pipeline lives.

Instead of generic bullets, you get deal-ready insights aligned with how your team actually sells.

The Role of AI Prompt Engineering

Of course, building a great protocol requires some prompt design skills. The AI needs to be told what to look for and how to format the output. For some teams, that’s a learning curve.

That’s why Optiverse offers support: the team can take your existing sales templates, whether it’s a qualification checklist, a discovery guide, or a deal review doc, and adapt them into prompt-engineered versions. That means your team opens Optiverse and finds a ready-to-use AI template that mirrors your workflow from day one.

No guesswork. No reinventing the wheel. Just summaries in your language, delivered directly where you need them.

Why This Matters

At the end of the day, the point of AI in sales isn’t to wow you with transcripts. It’s to remove friction, capture context, and give you back the hours you’d otherwise lose in admin.

• For the rep: Less time typing, more time selling.

• For the manager: Deal reviews with clean, structured insights.

• For the org: A CRM that actually reflects what’s happening in calls, automatically.

That’s the leap from “generic AI notes” to custom, outcome-driven sales intelligence.

Takeaway

If you’ve tried AI note-takers and found them helpful but not game-changing, you’re not alone. The real power lies in custom summaries that reflect your sales process, not a generic one.

When every call flows seamlessly into your CRM with the right data already captured, tracking deals becomes less about admin and more about momentum.

And that’s how AI stops being a novelty and starts being a true growth driver.