An autonomous AI agent that plugs into your Jira, Azure DevOps, GitHub and codebase — investigates tickets, writes code, ships pull requests and resolves defects end-to-end. Development, ticket triage, bug fixing, feature implementation — handled.
Autonomous engineering across every industry · click a domain to explore
Induktiv AI doesn't just fix bugs. It investigates, writes code, implements features and ships — autonomously.
Reads tickets, fetches logs of any type, analyzes code and correlates across Jira, Confluence, DOORS and Git — without a human in the loop.
Implements fixes, new features and refactors inside your repo. Creates branches, writes tests, opens pull requests with full reasoning and evidence.
Jira, Azure DevOps, ServiceNow, GitHub, GitLab, Confluence, SharePoint, DOORS, Polarion, CodeBeamer, Grafana, Jenkins. Plugs into what you already run.
Multi-turn agentic loop with hypothesis testing, evidence accumulation and confidence scoring. 5–30 tool calls per ticket until the real root cause is locked down.
17+ structured sections per investigation. Evidence timelines, recommendations, traceability — exported to Jira, Word or PDF for compliance.
TLS 1.3 + AES-256. TISAX / ISO-ready. Zero-trust local AI option on-prem, SSO/LDAP/RBAC, full audit trail. Built for regulated industries.
An event-driven pipeline built on six modular layers — from ticket trigger to merged pull request.
Ticket created, label added, @mention or scheduled scan. Induktiv listens on Jira, ADO, ServiceNow, GitHub.
Router pre-screens, fetches metadata, attachments, logs, linked tickets and code changes from every source.
Agentic loop: builds context, dispatches tools, evaluates evidence, iterates with confidence scoring.
Writes code, generates tests, creates a branch and commits the change directly inside your repository.
Structured markdown with 17+ sections, evidence timeline, root cause, confidence score — in Jira, Word, PDF.
Opens a pull request. Your team reviews and merges. 2–15 min end-to-end vs. 8–40h manual work.
From hypercar firmware to heavy-industry control systems — Induktiv AI is designed for regulated, mission-critical software where reliability is non-negotiable.
Every engineering defect costs ~€510 in manual investigation (6h × €85/h fully loaded). Induktiv AI takes it down to €84 — a saving of €426 per ticket.
Book a 30-min discovery call and see Induktiv AI resolve a real ticket in your environment.