AI meeting assistants are getting really good at recording conversations. They generate meeting transcripts, action items, and summaries in seconds.
People don't need another transcript, set of meeting notes, or AI-generated summary. They need someone to explain the engineering terminology. Not another document they have to copy paste into a different AI tool to understand what happened.
The problem isn't remembering the meeting. It's understanding it.
If you're a product manager, consultant, or executive, you've probably experienced moments like these.
Product Manager
An engineer says:
"The frontend release is blocked until the backend team finishes the API changes and we pass regression."
The meeting moves on.
Everyone else nods.
You're wondering...
- Does this delay our launch?
- Is this a major risk or just routine work?
- What should I tell stakeholders?
The transcript captures every word.
It doesn't answer any of those questions.
Consultant
Your client says:
"We're decomposing the monolith into services and exposing everything through APIs before we migrate workloads."
Sounds important.
But what does it actually mean for the client?
You need to quickly understand:
- Why are they making this change?
- How does it affect cost and timelines?
- What business outcome are they trying to achieve?
Without that context, it's difficult to guide the conversation or make recommendations.
Executive
The engineering lead reports:
"Latency increased after the deployment because the new caching layer isn't invalidating correctly."
You don't need to understand every technical detail.
You need to know:
- Is the customer experience affected?
- Is revenue at risk?
- Is this an incident or expected during rollout?
- Should leadership be concerned?
That's the information executives actually make decisions on.
AI should translate, not just summarize. Ask smarter questions and move faster with the right AI tool.
Imagine seeing those same updates in easily readable terms that you understand in real time. It would make the meeting feel less overwhelming, giving everyone the ability to ask informed questions and problem-solve faster.
For a Product Manager
Plain English
"The team is completing technical work required before the product can be released safely."
Business Impact
"The release timeline may shift depending on testing results."
Questions to Ask
- Is the launch date changing?
- Are there customer-facing impacts?
- What's the contingency plan?
For a Consultant
Plain English
"The client is modernizing its application so it can scale more easily and integrate with other systems."
Business Impact
"This investment improves flexibility and future development, but requires upfront engineering effort."
Questions to Ask
- What's driving this initiative?
- How will success be measured?
- What risks could delay implementation?
For an Executive
Plain English
"A technical issue after deployment is slowing part of the application."
Business Impact
"Customers may experience slower performance while engineering resolves the issue."
Leadership Summary
- Customer impact: Moderate
- Revenue risk: Low (currently)
- Recommended action: Continue monitoring; no executive escalation needed unless performance worsens.
Better meetings start with better understanding.
Every team and company speaks their own language.
Engineers use technical terminology.
Product teams think about customer outcomes.
Consultants think about business transformation.
Executives think about strategic impact.
Everyone is talking about the same work.
One conversation. Different roles. Different questions.
That's why meeting AI shouldn't stop at a summary and search later.
It should help every attendee understand the conversation in the context of their role.
Where hmm fits
That's exactly what we're building at hmm.
Instead of producing another transcript after the meeting, hmm translates engineering language into role-specific insights for product managers, consultants, executives, and anyone else in the room.
Because the goal isn't better meeting notes.
It's making every meeting understandable.
When people understand what's being discussed, they ask better questions, make more informed and faster decisions, and teams are aligned faster.