STROKIX is an AI operating system for business operations. It connects company systems, answers questions across business data, and helps teams turn approved decisions into action.

Who is STROKIX built for?

STROKIX is built for founders, operators, revenue teams, customer-success teams, and admin teams that work across CRM, Slack, billing, support, documents, and databases.

How is STROKIX different from a chatbot?

STROKIX is designed as an operating layer across company systems, not just a chat interface. It grounds answers in connected business data and keeps risky actions behind human approval.

Can STROKIX take actions in business tools?

STROKIX is designed to support read and write workflows. Risky writes pause for human approval and important actions are recorded in an audit history.

Does STROKIX use Weaviate?

The current production retrieval path uses Supabase/Postgres pgvector. Weaviate is optional paid or legacy infrastructure and is not required for the current production setup.

Blog

Use Cases

STROKIX for Engineering Teams: Ship Context, Not Meetings

Your engineering org runs on Jira, GitHub, Slack, and a monitoring stack. Context about any given project is scattered across all four. Standup takes 30 minutes because people are narrating what is already recorded in tickets and PRs. STROKIX connects all of it through one-click OAuth and lets anyone on the team query the full picture instantly.

6 min read

Sprint Health at a Glance

Type: 'sprint health for Team Alpha, current sprint.' STROKIX queries Jira for ticket status, story points completed versus committed, blocked items, and scope changes since sprint start. It cross-references with GitHub for PR merge rates and review turnaround.

Engineering managers who run this daily replace their need for synchronous standup check-ins on healthy sprints.

Blocker Detection Across Systems

Type: 'what is blocking the Q3 release?' STROKIX pulls blocked tickets from Jira, PRs awaiting review for more than 48 hours from GitHub, and threads flagged with blocked in Slack engineering channels. The result is a single list of everything standing between your team and the ship date.

Proactive agents monitor for blockers continuously. Configure a daily morning briefing that surfaces: tickets moved to blocked status overnight, PRs with review requests older than your SLA, and deployment pipelines in failed state.

Deployment Context and Release Readiness

Type: 'what shipped in the last release?' STROKIX queries GitHub for merged PRs between the last two tags, maps them to Jira tickets for business context, and returns a structured changelog.

Transactional rollback applies here too. If STROKIX is configured to update Jira ticket statuses and post release notes to Slack on deploy, and the deploy fails, those status updates and announcements revert.

Incident Response With Full Context

Type: 'what changed in the payments service in the last 24 hours?' During an incident, STROKIX returns: commits merged, deploys completed, config changes, and any related Jira tickets or Slack discussions.

HITL approval gates protect against accidental automation during incidents. If STROKIX recommends a rollback or a config change, it presents the action and waits for engineer approval.

Connecting Your Engineering Stack

Connect Jira, GitHub, Slack, and your monitoring tools with one-click OAuth. The engineering-relevant subset connects in under five minutes total.

Permissions inherit from your source systems. Engineers see tickets for their projects. Managers see their team. Directors see the org.