When we started building Wolfia, we thought the hard part would be getting AI to answer security questions accurately. That turned out to be hard, but something else surprised us more: the teams using Wolfia had no way to see what was actually happening.
A head of security told us she knew Wolfia was saving her team time. She could feel it. But when her CFO asked for numbers, she had nothing. How many questions came through last quarter? What's the actual dollar value? She was guessing.
We kept hearing variations of this. "I need to justify this to leadership." "I want to understand what customers are actually asking us."
Today we're launching Advanced Analytics.
Here's what you see when you open the dashboard
The first thing you notice is the conversation history. Every question that's flowed through Wolfia, who asked it, when, and how it was answered. You can scroll through and watch patterns emerge. Questions in Korean at 2am from your APAC team. The same compliance question coming up over and over, which tells you something's missing from your documentation.
For most organizations, more than half of questions happen outside business hours. That's value that was invisible before.
The executive summary gives you the headline numbers. Total conversations, unique users, questions per session. But the number that matters most is the estimated value delivered, broken down by who saved time and how.
Prove ROI to leadership
This is the job we heard about most. Security, GRC, legal, and sales ops teams know they're delivering value. Proving it is another story.
The traditional approach is to count questionnaires completed or tickets closed. Those numbers don't mean much to a CFO. What matters is whether this helped close deals and whether it's scaling.
We built a two-sided cost model that captures something most tools miss. When someone asks Wolfia a question, two people potentially save time: the person asking gets an instant answer, and the SME who would have been interrupted stays focused. The dashboard calculates both sides.
You can see which trust center documents correlate with closed revenue. You can see acceptance rates on questionnaires, which tells you whether AI is doing the work or your team is rewriting everything.
When you present to leadership, you're showing real impact in terms they care about.
Find where to invest next
Fill rate tells you where your knowledge base has gaps. If Wolfia can't answer a question, that's documentation you need to write. Track it over time and you can see if your coverage is improving.
Acceptance rate tells you about quality. If your team is editing most AI answers before sending them, something's off. Maybe the tone is wrong. Maybe the sources are outdated. Either way, you know where to focus.
Top approvers and contributors show you workload distribution. Is one person doing all the reviews? Is the load balanced across the team? Use this for capacity planning.
Understand what customers actually care about
This job surprised us. Teams wanted to see the actual questions being asked. The raw questions, with full context.
One customer told us they discovered that prospects kept asking about their incident response process. The questions weren't coming through official channels. They were showing up in Slack DMs to sales reps, who were pinging the security team for answers. Once they saw the pattern, they added a detailed incident response section to their trust center. The questions dropped off.
That's the kind of insight that's hard to get any other way.
Connect security work to revenue
Sales teams have a different job. They want to know which security assets actually help close deals.
The Revenue tab shows total deal value flowing through your trust center. More importantly, it shows which documents matter. Your SOC 2 report might be tied to your largest opportunities. Your pen test summary might be downloaded by every serious prospect.
When a deal closes and you can see they accessed specific documents beforehand, you can tell that story. This is how security stops being seen as a cost center.
Maintain accountability and audit trails
Legal and compliance teams care about risk. They need to know who said what, when, and to whom.
Every question and answer is logged with full attribution. When someone asks what was communicated to a customer six months ago, you can find it.
Customize everything to your organization
Every organization has different costs and workflows. Your SMEs might cost more than our defaults. The percentage of questions that would have interrupted someone varies by team.
We let you adjust all the assumptions. Move the sliders and watch the calculations update. Click "how we calculate this" on any metric and you see the full methodology.
We spent a lot of time making this transparent. If you're going to present these numbers to leadership, you should be able to explain where they came from.
How this compares to what you're doing now
Without analytics, you're operating blind. You know Wolfia is working because things feel faster. But you can't quantify it. When budget season comes around, you need data.
Some teams try to build their own dashboards by exporting data and building spreadsheets. That works for a while, but it's manual and the methodology is inconsistent. You end up spending meetings explaining your calculations.
We built analytics so you can skip that work.
Looking forward
We've been thinking a lot about what it means to build tools for enterprise teams. The theme that keeps coming up is visibility.
Once you can see what's happening, you can optimize it and invest more.
We're excited to see what teams do with this.