TableAI · Embedded AI

TableAI makes your reports answer questions.

TableAI adds natural language query and conversational analytics directly inside the tables and reports your users already rely on. Return answers, charts, and drill-down context without a data warehouse migration or a brand new workflow.

Embedded AI analytics Natural language query Privacy modes
Embedded Answer

Ask directly on the report your users already know.

TableAI answers inside the current table, filters, and view state.

01
Live question
"Which region has the highest renewal risk this quarter?"
West is highest at 28% projected churn risk, with chart and drill-down context.
SurfaceRenewal forecast table
Answer modeHybrid privacy
Next stepDrill into West accounts
Works In Place

Ship conversational analytics without rebuilding the stack.

Add AI to the reporting workflow customers already use.

02
Deployment path
Layer on top of existing reports and tables.
No warehouse migration and no separate dashboard surface.
Integration pointExisting report view
Data pathCurrent table layer
RolloutPer module or plan
Privacy Modes

Match execution to customer privacy expectations.

Choose full AI, masked, hybrid, or local execution per customer profile.

03
Execution profile
EU enterprise workspace running in masked mode.
The experience stays consistent while policy and privacy mode adapt behind the scenes.
Default modeHybrid privacy
FallbackLocal execution
AccessAdmin + analyst
Answer Payload

Return the next useful action, not just a text reply.

TableAI answers with the next chart or drill-down users actually need.

04
Answer payload
Top churn risk = West enterprise accounts.
Returned with the renewal-risk chart and the filtered drill-down view to inspect next.
ChartRenewal risk trend
Drill-downWest account slice
ExportNot needed
Key Benefits

Give users answers where they already work — with TableAI embedded in your product.

🧾

Stay inside the table

Users keep the table, report, and filters they already understand instead of switching to a separate BI workflow.

💬

Ask in natural language

Users ask the next question they actually have instead of learning new report controls, SQL, or export flows.

🛡️

Choose the right privacy mode

Support full AI, masked, hybrid, or local execution depending on the customer, data sensitivity, and deployment posture.

Data In. Answers Out.

Any source plugs in. TableAI runs the magic.

CSV uploads, Excel files, live APIs, and embedded widgets keep sending data into TableAI. The engine reasons over the current report context and returns on-demand answers, charts, and drill-down links inline.

CSV / Excel files
API live feed
Widget embedded
Raw Reports exports
TableAI
Answer West enterprise churn ↑ 18%
Chart
Drill-down 42 accounts · Q2
Feature Stack

TableAI: conversational analytics without a rebuild.

Embedded experience

Put AI inside the report instead of next to it.

TableAI works on top of the tables and reports already present in your product, so users stay in the same analytics workflow.

  • Embed directly in the report or table context.
  • Respect current filters, tenant boundaries, and view state.
  • Return answers without sending users to another analytics or BI tool.
Current viewAccounts > Renewals
Filters appliedEnterprise · Q2
Answer targetInline panel
Answer quality

Return answers, visuals, and drill-down context.

The product does more than output text. It can return the next chart, comparison, or drill-down users need to keep moving in the same report.

  • Answer natural-language questions on the current dataset and filtered view.
  • Show a chart when the question needs a visual comparison.
  • Link the answer back to the rows or slice that matters.
Answer payload
Top churn risk = West enterprise accounts.
Returned with a trend chart and the exact subset to inspect next.
Privacy and control

Match answer behavior to customer privacy expectations.

Some deployments need full AI. Others need masked, hybrid, or local execution. TableAI supports multiple operational postures for privacy-sensitive analytics.

  • Choose the right execution mode per customer profile or region.
  • Control access by account, user, or plan tier.
  • Expand intelligence without splitting the product into separate editions.
Execution modeMasked
Customer policyEU enterprise
AccessAdmin + analyst
Use Cases

Built for B2B products where tables already matter.

Product Analytics

Reduce export-and-analyze behavior

Answer the next user question before it turns into a spreadsheet export or BI detour.

Customer Success

Cut routine reporting tickets

Let customers self-serve inside the reporting surfaces they already pay for and already trust.

Enterprise Products

Respect privacy constraints

Offer conversational analytics with a deployment mode that matches each customer’s risk profile.

How It Works

See how TableAI turns a report into an answer flow.

TableAI captures the live report context, processes it, runs the AI layer, and returns a usable answer inside the same reporting workflow.

Stage 01
Input

Report captured

TableAI reads the live table, selected report, filters, and visible rows already on screen.

Current report context
Stage 02
Preparation

Processed

The active dataset is structured, scoped, and prepared so the answer stays tied to the visible report state.

Scoped data + filters
Stage 03
Reasoning

AI Engine

The AI layer interprets the question against the processed report context and decides the right answer format.

Answer logic + chart intent
Stage 04
Output

Questions / Answers

Users ask in natural language and get an inline answer, chart, and drill-down context in the same report.

Answer card + follow-up
Pricing

Pick the plan that fits your TableAI rollout.

Build a plan that matches your seat count, query volume, and privacy posture. Adjust the options below to see live pricing.

Make reporting conversational inside your product.

TableAI helps users get answers where the data already lives, without another dashboard migration or warehouse project.

FAQ

TableAI questions.

TableAI is Teptro's embedded AI analytics product that lets users ask questions of the tables and reports already present in a B2B SaaS product.
No. TableAI is designed to work with the reporting surfaces you already expose, rather than requiring a new warehouse or a separate reporting workflow.
Yes. Users can ask in plain language, and TableAI can return an answer plus a chart, comparison, or follow-up context when the question needs it.
TableAI supports full AI, masked, hybrid, and local execution modes so teams can choose the right privacy and performance tradeoff for each customer profile.
Yes. Query access and usage can be controlled by customer, plan, or user role depending on the product strategy you want to run.
It is built for B2B SaaS products that already rely on tables and reports and want to make those surfaces more useful without rebuilding the analytics stack.