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ASK for Engineering

The history behind every decision, one question away.

Engineers ask in plain words and get answers from code reviews, tickets, design docs and chat, linked to the exact passage and limited to what each person may open.

ASK

Ask anything about your company…

Your team asks

  • What changed in the payment service last week?
  • Who knows the most about our search indexing?
  • Summarise incident INC-2231 with sources.

Answers come from

  • GitHub
  • GitLab
  • Bitbucket
  • Jira
  • Confluence
  • Slack
Illustration with sample data.

Permission-aware by design. Every answer for engineering teams comes only from what each person may open in the source systems, checked inside every search, before anything reaches the AI.

See how

What slows engineering teams down

  • Why a decision was made is buried in old pull requests, tickets and design docs.
  • New engineers wait for busy colleagues to explain how a system grew.
  • During an incident, context is split across chat, tickets and runbooks.
  • Status updates mean copying the same facts from three tools.
  • The same questions reach the same senior people every week.

How ASK helps

An incident, summed up from every tool

Ask about an incident and ASK reads the ticket, the pull requests and the channel you can open, then writes the timeline with a source for every point.

  • Ticket, code changes and chat in one summary
  • Each line links to its source
  • Only what the asker may open
ASK

Summarise yesterday's checkout incident.

AI-generated answer, with sources

Checkout errors started at 14:05 after the payment client update 1. The change was rolled back at 14:40 2, and the on-call team confirmed recovery in the incident channel 3.

  1. 1JiraINC-2231 Checkout errors
  2. 2GitHubRevert payment client 4.2
  3. 3Slack#inc-checkout
Illustration with sample data.

Onboarding without the waiting

New engineers ask how a service works and get the answer from your own docs and past decisions, with the people who wrote them.

  • Answers from design docs and reviews
  • Who worked on it, where your company switches it on
  • Ask in Slack or Teams
Slack

Why do we queue invoice exports instead of sending them directly?

AI-generated answer, with sources

Direct exports timed out for large customers, so the team moved them to a queue 1. The design doc lists retries and the nightly limit 2.

  1. 1ConfluenceInvoice export design
  2. 2GitHubMove exports to queue (#812)
Illustration with sample data.

The morning digest, prepared for you

A scheduled agent lists yesterday's incidents, your open reviews and the tickets waiting for you, every working morning.

  • Runs on your schedule
  • Delivered to your ASK inbox, Slack or Teams
  • Reads and reports only
ASK inbox

Your engineering morning

Scheduled agent

  • 2 incidents closed overnight, none open 1
  • 3 reviews waiting for you, oldest from Monday 2
  • Sprint board: 4 tickets blocked on API review 3
  1. 1JiraIncidents, last 24 hours
  2. 2GitHubReview requests
  3. 3JiraSprint 41 board
Illustration with sample data.

Questions your team can ask

  • What changed in the payment service last week?
  • Who knows the most about our search indexing?
  • Summarise incident INC-2231 with sources.
  • Which runbook covers a database failover?
  • Draft a Jira ticket from this thread.

Agents, Buddies and workflows to start with

Ready-made templates come with ASK; the examples are built in minutes with the no-code builder. Anything that changes another system asks first.

  • AgentReady-made template

    Incident summary

    Summarises an incident from its ticket and the channel messages you can read.

  • BuddyReady-made template

    My assigned incidents

    Each working morning lists incidents assigned to you with their priority and age.

  • BuddyReady-made template

    Change calendar digest

    Every Monday lists the planned changes for the week.

  • WorkflowExample to build

    Thread to ticket

    Turns a Slack thread into a Jira ticket draft; creating it waits for your approval.

Works with the tools you use

ASK connects to 72 connector types, each with its permissions. These are the ones engineering teams use most.

  • GitHub
  • GitLab
  • Bitbucket
  • Jira
  • Confluence
  • Slack
  • Microsoft Teams
  • Linear
  • Notion

Safe for every team

  • Permission-awareEach person sees only what they may open in the source.
  • Chats stay privateNo admin and no operator browses employees' chats.
  • Approvals firstChanges in other systems wait for approval.
  • Audit logSign-ins, admin changes and agent actions, append-only.
  • Labelled as AIEvery answer says it is AI and shows its sources.
How ASK handles security

See ASK for engineering teams

We walk through ASK with the questions your team asks, the tools you use, and what your admins control.

Book a demo for Engineering

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