Review packets built from the whole quarter
Managers write reviews from what they can remember, which is mostly the recent stuff. The Review Prepper builds each packet from goals, peer feedback and the quarter’s real work.
Cycle opens Monday. Chasing gaps now, not after the deadline.
Four reviewers have not submitted, and two reports have no peer feedback requested at all.
How it works
Triggered by the review cycle
The cycle opening in your HR system starts the packet build, weeks before the deadline instead of the night before.
Assembles, weighs and chases
The agent compiles goals, feedback and shipped work for each report, weighs outlier ratings in context, chases what is missing, and refuses to pad thin packets with filler.
Delivers packets to managers
Each manager gets their packets in Notion with talking points attached, and a Slack note on anything that needs their attention first.
Without Relevance
With Relevance
The review reflects the last three weeks, because that is what the manager remembers at the deadline.
Packets pull goals, feedback and shipped work from the entire cycle, so March counts as much as June.
Missing peer reviews surface the night before calibration, when it is too late to fix.
The agent audits submissions when the cycle opens and chases late reviewers while there is still time.
Each report costs an evening of digging through docs, tickets and old Slack threads.
The manager starts from an assembled packet with suggested talking points, and spends the time on judgment instead.
One harsh outlier review lands in the packet with the same weight as everything else, unexamined.
The agent notes when a rating diverges from every other signal and shows the context, so the manager weighs it rather than averaging it away.
A report with no feedback gets generic filler, and nobody notices until the meeting goes badly.
Gaps are flagged as gaps. The agent requests the missing input instead of writing around it.
Packet quality depends on which manager your report happens to have.
Every report in every org gets a packet built the same way, which is what makes calibration fair.
Held to a quality bar, on every run
Every packet is checked against eval test cases written for this exact job before a manager sees it. If a run fails the bar, it never ships.
Pass rate · last 14 days
Sampling 2% of live runs · 96% 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 human resources agents
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 Review 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.


