Cutovers fail in coordination, not in planning.
Cut-over runs your cutover plan as an operation. Automated stakeholder comms, real-time timing math, decision gates with audit trail, and agentic execution for the runbook steps your AI agents already own.
Plan
- Tailored runbook
- Phases + RACI
- Rollback triggers
Run
- Automated comms
- Live timing math
- Decision gates
Execute
- Human owners
- AI agent handoffs
- Audit trail
The free generator covers Plan. The platform covers Run + Execute.
A cutover plan is not the same as a cutover.
Most cutovers fail in the same places. Not because the plan was wrong — because nobody was running it.
A 400-row spreadsheet nobody opens during the cutover window
Comms scattered across Slack, Teams, email — late and incomplete
Time drift not caught until the rollback window has already closed
Go/no-go decisions made on fatigue, not on data
DevOps agents sitting idle while humans manually run "switch DNS"
A debrief that never gets written because the team is too tired
The orchestration layer your cutover plan was missing.
Automated stakeholder messaging
Right comm, right owner, right step. Slack, Teams, and email integrations fire on phase transitions, gate decisions, and incident triage — without anyone holding a stopwatch.
Live timing budget
Real-time math against the cutover window: time elapsed per phase, remaining buffer, projected end. If the migration phase is trending past budget at 02:00, the lead knows at 02:00 — not at 04:00.
Rollback-window calculation
Each phase declares a rollback condition. The platform computes when the rollback option closes given the current pace, and surfaces that boundary to the cutover lead as a live countdown.
Single-tap go/no-go gates
Decision gates between phases are explicit, in-platform actions with named approvers. Every gate decision is logged with timestamp, context, and the data that informed it.
Agentic execution
Runbook items declare structured actions ("switch DNS", "drain queue", "validate row counts"). Configured AI agents — Claude agents, MCP servers, internal DevOps bots — pick the work up, execute within your constraints, and report back to the runbook.
Auto-generated postmortem
Every cutover produces a structured retrospective: timing per phase vs plan, gate decisions, incident triage, and the action list for the next program. Replaces the post-cutover write-up nobody has time for.
We're not what you might think we are.
Not a runbook generator.
LLMs already generate runbooks. We give you a free one to start with. The product runs the runbook — that's the part nobody's solved.
Not PagerDuty.
PagerDuty handles unplanned incidents. Cutovers are planned, time-boxed operations with explicit gates — a fundamentally different shape.
Not a project management tool.
Jira is for the months before the cutover. The cutover window itself is a different operating mode — real-time, time-boxed, high-stakes.
Not a DevOps automation tool.
Argo, GitHub Actions, and your DevOps agents execute one thing. Cut-over orchestrates the whole cutover and hands work off to those tools at the right moment.
Built for cutovers that can't afford to slip.
SAP S/4HANA cutover
Transport queue sync, weekend window, business sign-off, hypercare — orchestrated end-to-end.
Multi-tenant SaaS migration
Per-tenant cutover sequencing with shared infrastructure gates and tenant-specific comms.
Regulated data platform
Compliance gates, immutable audit trail, decision logging for downstream audit review.
See the platform in 30 minutes.
Tell us what you're migrating. We'll run a tailored walkthrough against a representative cutover scenario.
Frequently asked questions
- Is this a runbook generator?
- No. Runbook generation is a commoditized capability — every LLM can do it. We give you the free interactive generator (cut-over.net/cutover-plan-template) to start, but the platform is what runs the runbook: comms, timing, gates, agentic execution.
- How is this different from PagerDuty or a status page?
- PagerDuty is for unplanned incidents. A status page is for communicating to end users. Cut-over orchestrates planned, time-boxed cutover operations — coordinated comms to internal actors, live timing math against the cutover window, and decision gates with audit trail.
- What does "agentic execution" mean?
- Runbook items can declare a structured action — e.g. "switch DNS record api.example.com to point at the new cluster." Cut-over surfaces that action to a configured AI agent (Claude agent, DevOps bot, custom MCP server, internal automation), the agent executes within constraints you set, and the result returns to the runbook. Humans still own go/no-go; agents own execution where appropriate.
- Who is this for?
- Integration firms and consultancies running multiple cutovers per year, enterprise IT teams orchestrating SAP / ERP / data-platform migrations, and DevOps teams formalizing their cutover process. It is not for one-off, small-scale platform replacements — the free plan generator covers those.
- How does pricing work?
- Two paths: a per-cutover-event tier for project-based use, and an annual platform tier for organizations running multiple cutovers a year. Book a demo and we will scope to your program.
- Does Cut-over train on our cutover data?
- No. Cutover plans, comms, and execution logs stay in your tenant. We do not use customer data to train models. The AI components use third-party model APIs that have no-train data terms.
Stop running cutovers from a spreadsheet.
Book a 30-minute demo and we'll show you how the platform runs against your specific cutover scenario.
Book a demo →