AI that works for Outcomes

What did we decide about the auth refactor, and who decided it?

Every answer is tied to your company data, context, and knowledge, so nothing arrives as a confident guess.

What’s the latest decision on pricing changes?

Product, analytics, engineering, and the exec team all read from the same context instead of keeping private versions.

SlackNotionJira

Grounded in your company context

Why did we decide not to build this feature?

Surface the context behind past decisions, trade-offs, and customer feedback, so teams can move forward without reopening old debates.

ConfluenceGoogle DocsSlack

Grounded in your company context

Bring me up to speed on the billing migration

Give a new hire the background on a project without someone senior rewriting it from memory.

NotionConfluenceSlack

Grounded in your company context

How many teams that signed up in July are still active?

Ask a data question in plain English. The agent writes the query, runs it, and explains what the answer means.

Define active team once, and show me which dashboards disagree

Codify definitions once so the whole company speaks one number, instead of three dashboards disagreeing about revenue.

Turn last week’s retention query into a note I can send the CEO

Turn raw queries into a narrative someone can read and act on, rather than a table they still have to interpret.

Google DocsSlack

Grounded in your warehouse

Every morning, tell me what moved more than 10% and why

Get fresh findings delivered on a schedule, so a shift in the numbers reaches you before someone asks about it.

SlackMicrosoft TeamsLooker

Grounded in your warehouse

Checkout latency crosses the threshold. The agent is already running the runbook.

Nobody has to ask. The agent watches your alerts, executes the runbook, keeps the comms thread updated, and hands over a timeline instead of a scrollback.

PagerDutyDatadogSlack

Grounded in your runbooks

What changed before the 02:14 alert fired?

Correlate the deploy, the alert, and the change that preceded it, so the investigation starts from a hypothesis.

This page has fired six times this week. Open a ticket with the evidence

Turn a recurring page into a ticket with the evidence attached, rather than another silent acknowledgement.

PagerDutyJiraSlack

Grounded in your runbooks

Write the postmortem for last night’s outage

Draft the timeline, impact, and follow-ups from what actually happened, while it is still fresh.

Solve production issues and escalations in Slack

Bring debugging context directly into Slack so engineers can coordinate around incidents, answer escalations, and keep everyone aligned without digging through multiple systems.

SlackDatadogPagerDuty

Grounded in your runbooks

Which alerts fired most this week, and which ones are noise?

Rank what is actually paging the team and separate real signal from the alerts that should be tuned or retired.

Draft a spec for SSO, using our last three auth decisions

Draft requirements grounded in your own docs, tickets, and past decisions, so the first version is already in your house style.

What are the top customer pain themes this quarter?

Fold tickets, calls, and reviews into a ranked list of what customers actually keep asking for.

Who owns this service and what should I know?

Owner, on-call rotation, last three incidents, recent design decisions: all in one card.

Is the billing revamp ready to ship? What is still open?

Check a release against the specs, docs, and open issues behind it before it ships.

How did we do last quarter against the plan?

Get an answer about the company grounded in live data, instead of commissioning a deck and waiting a week.

SnowflakePostgreSQLSlack

Grounded in live company data

We are considering an enterprise tier. What should I know first?

Surface the risks, context, and precedents that bear on a call before you make it.

NotionSlack

Grounded in live company data

What did agent work cost us last month, by team?

Track the true cost of agent work, agent by agent and task by task, so spend stays legible.

Are we on track to ship the native app this month

Pull the state of product, engineering, and analytics into one view that is current when you open it.

Take ENG-412, ENG-418 and ENG-425 from the backlog and open pull requests

Take tickets from the tracker through to pull requests, with the repo context and conventions already loaded.

Review every PR on this repo for our security conventions

Hold standards and compliance on every pull request, not only the ones a senior engineer had time for.

Update the API docs from the changes merged this week

Keep user and API docs current from the code changes themselves, so they stop rotting between releases.

Replace the deprecated logger across all services

Carry the repetitive change across a codebase the way a person would, and open it for review.

Give me five ways to cut onboarding from six steps to two

Open up an idea, challenge the assumption underneath it, and find the options nobody raised in the room.

We think churn is a pricing problem. Argue the other side with our data

Put a bet against your own data and documents before it becomes a quarter of work.

What does moving to usage-based pricing cost us, not just gain?

Surface what each option costs, not just what it promises, using decisions your team has already made.

Summarize the pricing thread into the options on the table

Take a long thread and come back with the real options on the table and who is arguing for each.

SlackNotion

Grounded in your past decisions

How does the billing service talk to Stripe?

Let a new engineer ask how a service works and get an answer from the current code, not a stale README.

Walk me through what happens when a webhook arrives

Trace a path through code nobody on the team wrote, before changing it.

Update documentation for usage-based billing

Refresh the docs a feature touches when the code changes, so they describe what actually shipped rather than what was planned.

Where is the retry logic for failed webhooks?

Point at the file and function that owns a behaviour, instead of grepping blind across services.

Check every figure in this graph against the warehouse

Every figure is traced back to where it came from before it lands in a slide, so a wrong number does not travel.

Did any metric definition change under us this month?

Flag results that changed for a reason nobody intended, like a definition shifting underneath a metric.

Review this PR against our conventions before a human sees it

Hold output to your conventions across every agent, not just the ones somebody remembered to review.

Add citations to every claim in this summary

Attach the source behind each statement, so a reader can check the work instead of trusting it.