AskEnola Embedded:for Your Platform
Let your customers talk to their data
AskEnola embeds a conversational AI layer directly inside your product so your customers can ask questions in plain English and get instant, trusted answers from their own data.
No SQL. No analyst queues. No tab-switching.
Deploy in 1 week. Fully white-labeled. Built to scale with your customer base.
Leading Companies Love Our Proprietary Framework
Your platform’s problem
isn’t data, it’s access
You already do great data collection and presentation. But your users still click through endless dashboards for one number, file tickets asking analysts for basic reports, export to spreadsheets to figure things out, and give up when answers take too long.
You show what happened. Users need to know why it happened and what to do next.
The data sits there. Unused. Underutilized. Ignored. This is the last-mile problem of analytics.
So, what can you do?
The agents that power
enterprise-grade insights
I work through a set of specialized agents that orchestrate analytical rigor, business context, forecasting depth, and conversational clarity.
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The agents that power
enterprise-grade insights
A suite of specialized agents orchestrating logic, context, and clarity.
Add a plug-n-play conversational analytics layer to your product
AskEnola sits on top of your existing tech and data stack.
Users can simply ask:
- "What's driving churn?"
- "Why did engagement drop last week?"
- "Which campaigns are actually working?"
and get:
- Direct answers
- Clear explanations
- Relevant charts or breakdowns
All inside your product.
No rebuild. No new dashboards. No behavior change required.
Why can’t you build
this in-house?
Sure, you could try assembling the pieces in-house. But creating a reliable (zero-hallucination), user-friendly solution for both technical and non-technical teams demands 2-4 years and a full data science, ML, and engineering squad. That's rarely practical. AskEnola delivers all this in one seamless platform, blending:
- A pre-built analytics engine with heuristics, anomaly detection, and driver analysis.
- An automatic semantic layer fusing Enola's expertise (metric definitions, business logic, analytic patterns) with your custom context.
- A workflow layer that automates repetitive daily tasks.
So skip the build hassle, and get enterprise-grade insights today.
Everyone loves BADIR™
Enola's responses and reports put business goals first because her Framework Agent is
powered by BADIR™, our proprietary framework that puts business logic front and center.
Enola's responses and reports put business goals first because her Framework Agent is powered by BADIR™, our proprietary framework that puts business logic front and center.
What this means for
your business
This isn’t about nicer analytics.
It’s about what your users already expect from your solution.
Better retention
When users get value faster, they stay longer. You become a true operating system for your users
Faster decisions
Answers in seconds instead of hours or days
Higher product engagement
Users actually use the data already inside your platform
Stronger differentiation
Your product becomes AI-native, not dashboard-heavy The gap between "data available" and "data used" is where you win or lose customers.
The moment is now
Your users are already trained by ChatGPT, Siri, and Alexa to ask instead of investigate.
Products that stay dashboard-first feel outdated. Your competitors are evaluating this right now. The question is not whether conversational analytics becomes table stakes. It is whether you lead or follow.
Get started immediately
Questions?
Everything you need to know about AskEnola Embedded.
What is AskEnola Embedded?
AskEnola Embedded is a conversational analytics layer that SaaS platforms can add to their own product, letting their end users ask questions about their data in plain English and get instant, trusted answers without SQL or a data analyst.
How long does it take to deploy AskEnola Embedded?
AskEnola Embedded is designed to deploy in about one week. It's fully white-labeled, so it appears as a native part of your platform rather than a bolted-on third-party tool.
Why can't we just build this ourselves?
Building a reliable, low-hallucination conversational analytics layer that works for both technical and non-technical users typically takes two to four years and a full data science, ML, and engineering team. AskEnola packages a pre-built analytics engine, semantic layer, and workflow automation into one platform, so you skip that build cycle entirely.
What can users actually ask once it's embedded?
Users can ask questions like "What's driving churn?" or "Why did engagement drop last week?" and get a direct answer, a clear explanation of the cause, and relevant charts or breakdowns, all inside your existing product interface.
Does embedding AskEnola require rebuilding our product?
No. AskEnola sits on top of your existing tech and data stack. There's no rebuild, no new dashboards to design, and no change in user behavior required to start getting value from it.
What is the semantic layer AskEnola provides?
It's an automatic layer that fuses AskEnola's built-in expertise, including metric definitions, business logic, and common analytic patterns, with your platform's custom context, so answers are accurate to your specific business rather than generic.
What problem is AskEnola Embedded actually solving?
It solves the last-mile problem of analytics: platforms already collect and present data, but users still click through dashboards, file tickets for basic reports, or export to spreadsheets because getting an answer takes too long. AskEnola closes that gap by letting users just ask.
What's the business case for adding this to our platform?
Teams that embed AskEnola typically see better retention, since users get value faster and stay longer, along with faster decisions, higher product engagement, and stronger differentiation as an AI-native product rather than a dashboard-heavy one.