For Release Captains

Run your releases like a train.

BoltOps is the sprint management platform built for CTOs and engineering leads who orchestrate AI-first teams. Coordinate Release Trains, govern CLAUDE.md, and ship Bolts on a predictable cadence โ€” without losing a day to standups.

The Problem

Sprint tools were built before AI agents existed

Jira and Linear were designed for a world where humans wrote every line of code. Now your engineers ship code with Claude Code, Cursor, and Paperclip โ€” but their sprint board has no idea any of that is happening.

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30% Time Lost to Ceremonies

Standups, sprint planning, grooming, retros. The average engineer spends nearly a third of their week in process overhead โ€” process designed for pre-AI delivery cadences.

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CLAUDE.md drift kills agent quality

Your team has a CLAUDE.md per repo. Nobody owns it. Half are out of date. The $2,000/month you spend on Claude Code subscriptions produces inconsistent output because the spec is always stale.

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No visibility into what AI is actually shipping

Tickets move when humans drag them. You have no signal on which Bolts are progressing through agents, which are stuck, and what each session is costing you per Bolt.

The Solution

The Bolt Lifecycle: 6 stages, AI-native, governed

A Bolt is a 4โ€“8 hour AI development work cycle. Six stages take it from intent to ship, with AI-powered transitions and human gates where they matter.

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Intent โ†’ Generate โ†’ Verify

PMs author Intent Documents. Claude Code auto-dispatches on Generate. Paperclip QA agents verify against your CLAUDE.md standards before any human review.

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Review โ†’ Iterate โ†’ Ship

Magic Links share Bolt artifacts with stakeholders for severity-rated feedback. Iterate runs another agent loop. Release Captains coordinate shipped Bolts into Release Trains with scope gates.

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CLAUDE.md as a managed primitive

BoltOps treats CLAUDE.md as a versioned, governed first-class primitive. Section ownership, sync to repo, policy enforcement. Your AI tools finally produce consistent output because the spec is always current.

ROI for a 10-dev team

Pro tier pays for itself in under 24 hours

A 10-developer team on Pro at $20/seat/mo annual is $200/month. Status quo is ~$360/month for Jira Standard plus GitHub Actions plus a workflow you outgrew. Net of velocity gains, payback is the first day.

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$200/mo for the workflow infrastructure

Thatโ€™s less than your teamโ€™s monthly Claude Code subscription. BoltOps is the workflow layer that makes your $2,500/mo in AI tooling actually pay off.

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~100 hrs/month saved on context setup

30 minutes per dev per day saved when CLAUDE.md is managed and Intent Documents replace ambiguous tickets. At blended $60/hr thatโ€™s $6,000 of recovered engineering time.

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Fewer bad AI sessions, faster shipping

Approval gates and budget caps catch runaway agent spend. Verify-stage checks prevent a bad Generate from ever reaching review. Estimated value: ~$2,400/mo in rework prevention alone.

33ร—
ROI on Pro tier (10 devs)
73%
Faster than Jira
<24h
Payback period

Ready to ship at Bolt speed?

Join engineering teams that have replaced sprint ceremonies with AI-orchestrated workflows.

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