Software delivery, converted into a governed AI factory.
EngynOS turns business intent into structured goals, missions, agent work, evidence, approvals, and outcomes — across the full delivery lifecycle, with humans in the loop where it matters.
EngynOS turns business intent into structured goals, missions, agent work, evidence, approvals, and outcomes — across the full delivery lifecycle, with humans in the loop where it matters.
Teams stitch together IDE agents, tickets, repos, docs, chats, tests, and incidents by hand.
AI coding tools work inside a file, not across the lifecycle — no governance, no evidence, no release decision.
Decisions live in DMs. Requirements in PDFs. Tests in YAML. Production in dashboards. Agents start blind.
Leadership reads weekly slides instead of seeing real-time mission state, cost, and risk.
Goals, missions, agents, context, QA, releases, and reporting live on one control plane.
Approvals at plan, scope change, merge, QA evidence, and release. Breakglass paths logged separately.
Every prompt, retrieval, tool call, and decision hash-pinned in a tamper-evident ledger.
Operator writes business intent. EngynOS parses and queues planning agents.
A goal is opened with owner, scope, risk, acceptance criteria, and policy bindings.
Planner agents decompose the goal into missions with dependencies and estimates.
Specialised agents — requirements, coding, QA, research, ops — receive scoped missions.
EngynGrid hydrates each agent with code, docs, prior decisions, and customer signal.
Agents synthesise PRDs, code, tests, and configurations under tool allow-lists.
EngynQA generates test matrices, sandbox runs, and a signed evidence pack.
Operator reviews evidence, hardware-token gates the release, mission attests in the ledger.
EngynInsights computes cost-per-task, velocity, risk surface, and ROI.
EngynGrid absorbs production reality so the next mission inherits it automatically.
Build more products without losing control.
Govern AI-assisted delivery across teams and repos.
Convert intent into evidence-backed delivery.
Run missions, dependencies, and risks without status meetings.
Stitch quality into every mission, not the end of every release.
Work with agents without surrendering review discipline.
Adopt AI delivery with governance, audit, and standardisation.
The operating cockpit.
VIEWFrom outcomes to executable units.
VIEWHow specialised agents coordinate.
VIEWQuality built into every mission.
VIEWDelivery intelligence for execs.
VIEWConnect one repository, one ticketing tool, and one mission. See evidence in days, not quarters.
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