Chat With Your Database Using AI Data Analytics

Build AI-driven analytics with m-Power, in minutes. Your users get a way to interact with their data, discover trends, and generate charts and graphs. You control the data they can query, which model to use, and what data (if any) gets sent to the LLM.

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Video demo: how to build AI data analytics over your database with m-Power Watch: Build AI Analytics · 4 min
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Answers From Live Data, Charts on Request

An analyst built with m-Power queries only the tables you give it, under the same security model as the rest of your applications. Your users see a chat window over the data they already work with. Build it yourself, or have our consultants build it for you. Either way, it runs in your environment.

An m-Power AI analyst charting monthly revenue by region and explaining the trend
01

Type a question, get an answer

Users type a question and the analyst answers it, straight from live tables. Ask followup questions to dig deeper into your data and discover trends.

Show me revenue by region
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Charts without a report request

Let your users generate charts and graphs on demand, without needing to make a request to IT.

Make this a bar chart
03

Find trends in your data

Unlike a prebuilt report, this approach lets users explore their data from any angle and uncover trends they wouldn't have seen.

What stands out i August is still in progress
04

Control your data

You control if your data gets sent to the LLM, and if so, what fields to include. It also runs over the same security you already use, so you manage user and role access.

Orders & Inventory Customer Records Payroll
05

Choose any model

Connect the LLM your company has approved, open or self-hosted, and swap it later without rebuilding the analyst.

Approved LLM Self-hosted
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“

Easily the best technology investment I've made in my 20+ year career.

John Perrin, CIO, Farner-Bocken

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I can now do five projects in the time that I would have done one project. I like having the freedom to quickly build and design solutions that work well for the business.

Roisin Bowen, Systems Developer, Autochair

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Now, we can actually build applications in hours instead of weeks.

Hayes Howard, CEO, ComPair Data

Watch One Get Built

This video shows an AI analyst being set up over a live order database with m-Power, then answering questions and charting the results.

Video · AI Data Analytics

Build AI Data Analytics Over Your Database

Point an AI analyst at your order data and let users ask for revenue by region, month-over-month trends, and the chart to go with them. The build runs over your existing tables, so there's nothing to migrate first.

  • Set up over existing database tables
  • Questions answered from live data, charts on request
  • Data access defined by IT before anyone asks a question
Video demo: build AI data analytics over your database with m-Power Watch: Build AI Analytics · 4 min

Where Teams Use It

A few common places an AI analyst over your database gets put to work:

Sales questions on the spot

Revenue by region, rep, or product, answered during the meeting instead of after it.

Order and shipment lookups

Open orders, late shipments, and backlog questions answered from the system of record.

Inventory trends

What's moving, what's sitting, and what's about to run short, from live inventory data.

Budget vs. actual

Finance asks how a line item is tracking and gets the current numbers and the trend.

Customer account lookups

Reps pull up a customer's history and order status while the customer is still on the phone.

Answers for people who skip BI tools

Managers who won't build their own reports can still ask a question and act on the answer.

Need traditional reporting too? m-Power builds web reports and dashboards over the same data.

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Frequently asked questions

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What is an AI data analytics assistant in m-Power?

m-Power is a low-code development platform from mrc that builds web applications and AI tools over your existing databases. Its AI analytics assistants answer questions from live database data, build charts on request, and summarize trends, inside applications your IT team controls. They're one part of m-Power's AI toolset, alongside chatbots, agents, and AI workflows.

From your database. The assistant queries the live tables you've given it access to and answers from those results, so the numbers reflect what's in your system right now. The commentary around the numbers comes from the AI model, so give it the same second look you'd give an analyst's summary before a big decision.

m-Power is database-agnostic. It runs over major SQL databases such as Db2, SQL Server, Oracle, MySQL, and PostgreSQL, on-premise or in the cloud, with no data migration.

No. Users type the question and the assistant runs the query for them. IT decides which tables and columns those questions can reach.

Yes. Assistants use the same security model as your other m-Power applications: Role-based access, row-level data rules, and your own authentication (SAML, OAuth2, or Active Directory).

Any major model, open, closed, or self-hosted, and you can swap later without rebuilding. One note on data: If you connect a third-party LLM, the data you allow into prompts goes to that provider. Choose a self-hosted model if everything needs to stay internal.

m-Power uses perpetual licensing with no per-user fees, so you can roll an assistant out to a whole department without watching a seat count. Model usage fees from your LLM provider are separate. See the pricing page for how licensing works.

Yes. Build assistants in-house with m-Power's low-code tools, or have our developers build them with you or for you. 96% of first-time services clients come back for another project.

Last updated: August 2026

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We'll build over your data and your use case live, and answer the questions your team actually has.

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