QBRs built on what the numbers mean
The QBR Prepper reads the account before it builds a slide: it finds the story inside the usage data, stress-tests the headline, and drafts the deck with a recommendation attached.
QBR in 5 days · Ridgeline
QBR PrepperRidgeline’s QBR is Thursday. Looking for the story before I touch a slide.
Segmenting usage by team and feature4sUsage is up 24%, but nearly all of it is the operations team. Product and finance barely log in.
Reviewing goals from the order form2sThey bought for all three teams. The gap between the goal and the adoption is the QBR story.
Drafting the deck9s
How it works
QBR in 5 daysQBR scheduled · Ridgeline
CSM requests a deckExec review booked
Deck draftedRecommendation attachedCSM notified for reviewQBR record updatedTriggered by the QBR calendar
When a QBR lands within five days on the calendar, or a CSM requests one in Slack, the agent starts the prep. No deck gets built the night before.
Stress-tests the story before telling it
It segments usage by team, user and feature, checks the headline against the drill-down, and reframes honestly when the flattering number will not hold.
Drafts the deck in your tools
The finished draft lands in Notion with the narrative, the charts, and a recommendation slide, ready for the CSM to review and present.
Without Relevance
With Relevance
The CSM spends the night before pasting screenshots of dashboards into last quarter’s template.
The deck arrives drafted five days out, built from the account’s actual data, ready for the CSM to edit rather than assemble.
The deck recites metrics. The customer already has the same dashboard.
The agent segments the numbers until they say something: where adoption is concentrated, what changed since last quarter, and what to do about it.
A flattering topline goes on slide two, and falls apart the moment the customer drills in.
Every headline is stress-tested first. If the growth is one power user or one team, the deck says so and reframes around it.
Strategic accounts get a real narrative. Everyone else gets the template with the logo swapped.
Every QBR on the calendar gets a deck built from its own data, whether the account is the largest or the fiftieth.
The deck ends on a thank-you slide, and the meeting ends without a next step.
Every deck closes with a recommendation the evidence supports: an enablement plan, an expansion case, or the honest ask for more data.
Six weeks of usage gets drawn as a trend line because the template has a trend slide.
Thin history is presented as a baseline, not a trajectory. The agent will not extrapolate a story the data cannot carry.
Held to a quality bar, on every run
Every deck is checked against eval test cases written for this exact job before a CSM presents it. If a run fails the bar, it never ships.
QBR PrepperPass rate · last 14 days
Sampling 2% of live runs · 95% passing this week
Train your agent like an employee
Onboard it with your playbooks and correct it in plain English. It learns the lesson for good, and nothing changes until you approve it.
Built for enterprise teams
Run agents on your real data with the access controls, audit trails, and residency guarantees enterprises require all built in.
Monitoring
Real-time visibility into every agent’s activity, performance, and cost.
RBAC
Control who can use, build, edit, and deploy agents.
Data residency
Multi-region deployment keeps your data within your required geography.
Version control
Full version history on every agent. Roll back to any previous state.
Audit logs
Every action, every decision, every tool call logged and exportable.
Human-in-the-loop
Set approval gates on any action or allow agents to ask questions.
SSO / SAML
Enterprise single sign-on with SAML 2.0. Centralize identity & access.
PII masking
Detect and redact personally identifiable information.
"The ability to be vendor agnostic and the ability to scale across a breadth of functions is a really key feature."
Levi Watters
Partner, KPMG Australia
"The key for us was how we can modularize industry knowledge and the best playbooks, and apply it."
Allen Roh
Senior Marketing Manager, Autodesk
"We're looking for every place where AI can allow sellers and customer success reps to be more engaged with customers."
Rob Giglio
Chief Customer Officer, Canva
"The ability to be vendor agnostic and the ability to scale across a breadth of functions is a really key feature."
Levi Watters
Partner, KPMG Australia
Team it up with more customer success agents
Deal won- 1Handoff brief sent
- 2Intro email sent
- Kickoff booked
Customer Transitioner
Hands new customers off from sales to success.
Onboarding Guide
Drives new customers through every setup step.
UpsellUpsell & Cross-Sell
Spots upsell and cross-sell potential per account.
Ticket resolvedSupport Triage
Classifies, prioritizes and routes inbound tickets.
Every agent you add shares one stack
These agents all run on one platform: one gateway, one router, one eval suite, one audit trail. Every agent after the first ships faster.
- Triggered by key events or signalslike Zapier
- Given access to contextlike Zep
- Connected to your appslike Composio
- Access to all LLMslike OpenRouter
- Performance evaluatedlike Braintrust
- No-code agent builderlike Dust.tt
- Coordinated into teamslike CrewAI
- Chained into multi-step processeslike n8n
- Kept alive through long-running worklike Temporal
- Traced at every step of every runlike Langfuse
Put the QBR Prepper to work this quarter
We partner with enterprise teams to take this work off their plate. An agent built with you, proven against your quality bar, and live in weeks.