For customer success teams

Your clients ask what is possible. Then they ask what changed.

Customer success sits between the client and engineering. ProdE tells your team whether a client's request can be done and how big it is, explains what is happening in the product, and when a feature ships, finds every customer who asked for it.

Before ProdE

Every client conversation needs an engineer behind it.

01

A client asks for something

Can it do this? Can you add that? Each request goes to engineering to find out whether it is already possible, a setting, or months of work. The client waits for a reply.

02

Updates get lost on the way

Release notes are written for engineers, if they are written at all. Your team hears what changed from the client.

03

Requests are forgotten

A client asked for a feature six months ago. It shipped last week. Nobody remembered to tell them.

What your team can do

Know what is possible, what changed, and who to tell.

Check a request before you reply

Is it already possible, a configuration change, or new work? ProdE answers from the code and shows what the change would touch, so your reply is right the first time.

Explain what is happening, in the client's terms

Why did this change? Why does it work this way for this account? Answers come from the code and your tickets, with the source attached.

Know what shipped

ProdE writes release notes from what was actually merged, in language your team and your clients can read.

Tell the customers who asked

When a feature ships, ProdE matches it to the requests in your tickets, lists the customers who asked for it, and drafts the update for each one.

One answer for every team

Customer success, support, sales and engineering read from the same source, so a client never hears two different answers.

Ask where you already work

Ask in Slack, in a DM or a thread. Nobody needs access to the code.

A question a CSM can ask before the renewal call

“The client wants approvals routed by region. Can we do that today, or is it new work?”

In practice

How Attentive AI and Leena AI use it.

01

Attentive AI: asking in plain English

Many of Attentive's customer success people are civil, mechanical and electrical engineers. They do not write SQL. With ProdE behind their Slack bot, they ask in plain English and the answer shows up in Slack.

02

Leena AI: client questions, same day

Technical questions from enterprise clients used to take 2 to 3 days of coordinating with engineers. Now the team answers them in 15 to 30 minutes.

Leena AI

15 to 30 min to answer a client's technical question. It used to take 2 to 3 days.

Leena AI

93% of 166 people use it, across seven teams

Attentive AI

82% of Attentive's team uses it

"Our customer success and sales teams come from civil and mechanical engineering, not SQL. With ProdE behind our Slack bot, they ask a question in plain English and the answer shows up in Slack."

Shubham Agrawal · Senior Engineering Manager, Attentive AI
For your engineering team

Send this part to your head of engineering.

ProdE needs read-only access to the repos you choose. Nothing else.

It only reads your code

ProdE cannot change, commit, merge or push anything.

It never trains on your code

Your code is never used to train any model.

It never touches your running systems

ProdE reads the code. It does not connect to your application or your production data.

ISO 27001 certified

It runs in ProdE's cloud or on your own servers.

Kept current

Answers stay current with your code on a scheduled sync, as often as daily.

Works with your coding agents

Claude Code, Cursor, Codex, Copilot and any MCP client connect to it.

See it on your own codebase.

Connect your repositories to ProdE. Your team and your coding agents get the same map of the system.