LoopIQ Pro for AI-Native SDLC Teams
LoopIQ Pro is AI project management software that unifies planning, workflow automation, and audit-ready release evidence in one connected SDLC system. It is built for VPs and directors at mid-market and enterprise engineering teams who want AI to accelerate delivery without leaving governance behind. LoopIQ manages the work and captures the compliance evidence from the same flow, so speed and audit readiness advance together rather than trading off.
The problem
Most AI project management tools optimize planning and throughput but treat compliance as someone else's problem. Regulated engineering teams end up with a fast planning layer and a separate, manual evidence process bolted on afterward. The disconnect means AI-assisted work moves quickly while the record of who decided what, and whether it was tested and approved, still gets reconstructed by hand — costing roughly two days per release and leaving AI-driven actions poorly documented.
How LoopIQ handles it
LoopIQ is AI-native across the lifecycle and keeps every action traceable, structuring evidence around the five auditor questions:
Change authorization — approvals and change requests recorded and linked, including AI-assisted changes.
Access governance — who or what could act on the work captured in context.
Test and validation — test results tied to the requirements and changes they cover.
Release certification — a signed record that each release met its gates.
Monitoring and response — deployment and post-release signals connected to the release.
AI speeds the work; the governance trail forms automatically alongside it.
Key capabilities
AI project management — planning, prioritization, and workflow automation across the SDLC.
Conversational execution layer — teams drive work through natural language while actions stay recorded.
Agentic AI orchestration — routine steps automate, and every AI action is traceable and auditable.
Automated evidence capture — approvals, tests, and deployments recorded from GitHub and CI/CD.
Release certification — audit-ready proof accompanies each release.
Unified workspace — planning, delivery, and compliance evidence in one connected system.
How it fits your stack
LoopIQ complements rather than replaces the tools around it. It integrates with GitHub and CI/CD to capture delivery signals and imports existing project data via CSV or a full database dump with intelligent mapping (there is no native Jira integration), so teams can adopt AI-native project management without abandoning current pipelines. It also feeds verified upstream SDLC evidence to GRC platforms such as Vanta, Drata, and Secureframe, which continue to manage the broader compliance program.
Common questions
How is this different from a general AI project management tool? Most tools stop at planning and throughput. LoopIQ manages the work and captures audit-ready release evidence from the same flow, and it keeps AI and agentic actions traceable — which matters for regulated teams.
Are AI-driven actions auditable? Yes. LoopIQ's agentic AI and conversational execution layer record actions with the context needed to review them, so AI-assisted work is documented rather than opaque.
Can we use it without switching issue trackers? Yes. LoopIQ integrates with GitHub and CI/CD, and existing project data imports via CSV or a full database dump with intelligent mapping, so you can start without a native Jira integration.
Start free at loopiq.com or book a live demo.
