Slack Bots
AI for every channel, governed by your org
Ship Slack bots that route to specialist Quant cloud agents — security review, debugging, supply-chain audit, autonomous code changes. Every conversation stays inside your sovereign Quant org, with a full audit trail.
quantcdn/portal uses lodash 4.17.21 in package.json:42, but the affected code path (template compilation) is not invoked. CVE confirmed against the version; reachability NOT AFFECTED.For platform & security leaders
AI that earns its place in a regulated org
Quant is the first company through Australia's new ISM controls for AI. A Slack bot powered by Quant gives your team productive AI without the compliance and data-residency headaches.
Sovereign by default
Every prompt, response, and tool call stays inside Quant's Australian AI infrastructure (Melbourne / Sydney). No third-party providers, no data leakage.
Audit every conversation
Slack threads, the agent that answered, the tools it called, and every artefact it produced are captured in your org's audit log. Compliance-ready out of the box.
One bot, the whole org
Deploy once at the org level; route per-channel by topic. Permissions and rate limits sit with your Quant org, not in scattered Slack app settings.
No customer-facing keys
Bots authenticate against Quant's portal, never directly against backend APIs. Rotate centrally; nothing to redeploy.
Every Slack interaction with a Quant bot is processed by AWS Bedrock in Melbourne or Sydney through Quant's IRAP-backed, ISM-aligned platform. No prompts leave Australia.
For developers
One bot, every specialist
Bind a Slack bot to an orchestrator agent and the built-in call_agent tool delegates each question to the matching specialist. No glue code, no per-channel rewiring.
Multi-agent routing
Bind a bot to a router agent and list its sub-agents. The router uses the built-in call_agent tool to dispatch each question to the right specialist.
Specialists out of the box
Every org ships with code, plan, review, security, debug, and supply-chain agents — all callable from Slack via the orchestrator.
Live progress in-thread
A single Slack message updates in place — "thinking", "routing to supply-chain", tool-by-tool status — replaced by the final answer when done.
Bring your own knowledge
Attach vector-database collections per agent — internal docs, runbooks, ticket history — and the bot answers from your sources, with citations.
How a question reaches the right agent
quantcdn/foo
call_agentThe bot's progress message updates live as the router dispatches and the specialist works — the final answer replaces it in place.
What teams ask their Quant bot
Four common patterns. Every one runs against your repos, your knowledge bases, and your audit log.
Triage incidents
Router → debug agent → systematic root-cause analysis posted as a thread reply.
On-demand security review
Router → security agent → severity-classified findings (Blocker / Warning / Nit) with cited authorities.
Supply-chain on tap
Router → supply-chain agent → direct verdict with file:line evidence and CVE / GHSA / OSV citations.
Dispatch a fix
Router → quant_autonomous_start → containerised QuantCode agent edits, tests, and opens the PR.
Three steps from zero to in-channel
Create the bot in the Quant dashboard
Pick a router agent (or build one). Add the specialists you want it to delegate to.
Install the Slack app and pick channels
OAuth into Slack from the dashboard. The bot answers DMs and any channel it's invited to.
@mention from any thread
Ask in plain language. The router picks the specialist, the bot reports progress live, and you get a cited answer.
Bring your team's AI inside your org
Slack bots in minutes, sovereign infrastructure by default, audit trail built in.