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Feature · QBR automation

QBR automation software.
Eight hours, thirty seconds.

A typical CSM spends six to ten hours per QBR — pulling data, stitching slides, writing narrative, double-checking numbers. Exeechain's QBR generator does all four in roughly thirty seconds, then hands you a draft to edit. Eight industry templates, grounded in your actual customer data.

See pricing ›

What it is

An AI QBR generator that writes the narrative, not just the template.

Most CS platforms ship QBR templates — pre-formatted slide layouts with merge fields. They speed up the assembly, but the actual writing still falls to the CSM. Exeechain's QBR automation ingests every quantitative signal Exeechain has on the customer (MRR history, feature adoption curves, support volume and sentiment, NPS trend, goal progress, renewal timing, expansion opportunities) and uses AI to write the entire narrative — the executive summary, the key wins, the challenges, the next-quarter plan, the renewal case.

The result is a finished draft, not a fill-in-the-blanks template. The CSM's job becomes review-and-edit, not author-from-scratch. Eight industry templates ship out of the box — SaaS, fintech, health-tech, dev-tools, e-commerce, marketplaces, agencies, and enterprise — each with the language and metrics that fit the vertical.

How it works

Three steps to a finished QBR.

  1. Step 01

    Pick a customer + template.

    Choose the customer and the industry template. Exeechain pulls everything it knows about the account: 90 days of MRR history, feature adoption curves, support tickets and sentiment, NPS responses, recent champion changes, renewal timing.

  2. Step 02

    AI drafts the narrative.

    30 seconds later, you have a finished QBR document — executive summary, key wins this quarter, challenges and risks, recommended plan for next quarter, renewal case, and an appendix of supporting metrics. All grounded in the actual customer data.

  3. Step 03

    Review, edit, send.

    Edit inline like a Google Doc. One-click export to PDF or Notion. The whole loop — pull data, write narrative, finalize doc — drops from 6-10 hours per QBR to roughly 20 minutes of review time.

Why it matters for NRR

QBRs are where renewals are pre-decided.

More QBRs, not fewer.

When QBRs take 8 hours, teams quietly skip the smaller customers. When they take 20 minutes, every customer gets one. Coverage drives retention.

QBR quality compounds.

AI-generated narratives are factually grounded — every claim ties back to a metric. Customers respect QBRs that pass the smell test, and respected QBRs anchor renewal conversations.

CSM time goes to relationships.

Time saved on QBR drafting is time spent in actual customer conversations. The same CS headcount covers more accounts without dropping quality.

Evaluating QBR automation against other platforms? See how Exeechain compares head-to-head with Gainsight, ChurnZero, Vitally, and Planhat.

Related features

The full platform.

Churn prediction

30 days early, 0–100 score, daily refresh

Customer health score

AI score with the three drivers explained

Retention playbooks

Twelve sequences, AI-drafted per customer

AI Copilot

Plain-English Q&A grounded in your data

Revenue forecast

Renewal cohorts you can defend

Eight hours of QBR writing.
Or thirty seconds.

Live in fifteen minutes. From $299/mo. AI-written QBRs across eight industry templates.

See pricing ›
From $299/mo·Live in 15 minutes·Cancel any time
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