AI delivery control plane · Azure DevOps native

Turn every signal into shipped work.

Delivery Loop collects feedback from Teams, email and docs, turns it into scored, estimated stories, and forecasts delivery and cost — across every org and project you run.

📥 Feedback — Teams · email · docs 🧠 AI — scored, estimated stories 📊 Forecast — dates & cost 🔁 Loop — on a schedule
Everything, connected

One control plane for delivery

📥

Feedback avenues

Connect a Teams channel, monitor a support inbox, drop in transcripts and docs, capture in-app feedback. New sources plug in as you grow.

🧠

AI writes the backlog

Signals become Epic → Feature → Story with complexity factors, estimates, and open questions flagged — no more manual triage.

📊

Forecast & cost

A learning estimation model gives P50/P85 completion dates and running cost at your rate — a real key driver for what's left.

🏢

Multi-org, your keys

Run many orgs, each with its own projects. Use org-level master credentials or give a project its own API keys for isolated spend.

⚙️

Configurable structure

Standard states, board columns, and maturity stages applied automatically — or tune the process per org and project.

🔁

Runs itself

Hosted and scheduled — ingest, analyze, refit, and refresh dashboards on a cadence, without your machine in the loop.

How it works

From signal to shipped

Connect

Add your org and a feedback source — a Teams channel, a support inbox, or a docs folder. Bring your own keys.

Analyze

AI turns everything into scored, estimated stories, asks questions on the fuzzy ones, and skips work you've already shipped.

Forecast & ship

Live dashboards show progress, remaining cost, and completion dates. Coding agents pull Ready work and report back.

See your delivery, end to end.

Sign in, connect an org, and watch feedback become a forecasted backlog.