Product / AZAI Hub

Paste a ticket. Get a cited diagnosis.

An AI workspace for support and engineering teams. It reads the ticket, searches the code, past tickets, and release notes, and hands support a brief they can act on. A person approves anything that touches a customer or a database.

18 mo
Running this pattern on a live support queue
Daily
Used by a working support team, not a demo
0
Database writes without a human approving them
Ticket triage · ACME-4182Brief ready
BugHigh confidence

Invoices stuck in pending after a mid-cycle plan change

In plain English

When a customer upgrades mid-cycle, the proration step skips the final status update. The invoice is correct but never leaves pending.

What support should do now
  1. 01Tell the customer the amount is right and nothing was double-charged.
  2. 02Re-run finalization for the three affected invoices.
  3. 03Escalate the root cause to billing engineering.
Evidence
  • [1] billing/proration.py:212
  • [2] billing/invoice_state.py:88
  • [3] release-notes/4.12.md
Mutation draft
Human review required
UPDATE invoices SET status = 'finalized'
WHERE id IN (8812, 8815, 8820)
  AND status = 'pending';
How a ticket moves

From pasted key to support-ready brief in under a minute.

  1. 01

    Classify

    A fast model reads the ticket and sorts it: bug, how-to, or admin request. How-tos get an answer. Bugs get an investigation.

  2. 02

    Investigate

    An agent searches similar past tickets, the codebase, docs, and release notes, inside a fixed tool budget so it always finishes.

  3. 03

    Brief

    Support gets plain English, what to do now, workarounds, and evidence with file and line citations. Engineering gets root cause and a fix plan.

  4. 04

    Approve

    Customer replies and database changes arrive as drafts. A person reads, edits, and sends. The Hub never writes on its own.

InvestigationDone in 41s
  1. 00:02Classified as bug
    high confidence
  2. 00:09Pulled the ticket
    and 3 similar past tickets
  3. 00:21Searched the code
    proration.py, invoice_state.py
  4. 00:34Checked release notes
    4.12 changed proration
  5. 00:41Drafted the brief
    3 sources cited
What's inside

One workspace for the whole support loop.

Ticket triage

Paste a ticket key. It classifies, investigates, and drafts a support-ready brief with a copy-ready escalation note when the ticket needs engineering.

Escalation investigation

For tickets that reach engineering: likely root cause, where to look, recommended fix, validation plan, and regression risk. Run it quick, exhaustive, or let it decide.

Chat with tools

One chat that can look up tickets, search code and past tickets, read release notes, run code, and search the web. Every claim cites its source.

Morning queue

The day's tickets, already sorted. Each one gets a one-line summary and a next action: investigate, waiting on customer, or close.

Checked SQL

Queries written against the real schema and validated before anyone runs them. Reads stay read-only. Writes come with preview, verification, and rollback.

Team and adoption analytics

SLA breaches, stuck tickets, and backlog depth for leads. Who uses the Hub, how often they come back, and which tools earn their keep.

Guardrails

Built for teams that answer to customers.

Evidence before claims

A finding in today's code is not called the cause until it ties to what is actually deployed. Low confidence says so out loud.

Humans approve writes

Database changes ship as drafts with rollback. Nothing reaches a customer without a person.

Bounded agents

Every investigation has a tool budget and a defined stop. No runaway loops, no surprise bills.

See security
Under the hood

The right model for each step.

Each step uses the model that fits it. Today that is Claude Sonnet for investigations and Claude Code for deep code reviews.

Connects to
  • Jira
  • Microsoft Entra SSO
  • Git repositories
  • SQL databases
  • Release notes
  • Web search
Models
Claude, on your own Anthropic or AWS Bedrock account. Small, fast models handle classification and summaries.

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FAQ

Frequently Asked Questions