Explainable recommendations
Turn explicit industry, technology and stage context into relevant activities with confidence, provenance and inclusion reasons.
CutoverCenter recommends an explainable starting plan from application or infrastructure context, then governs rehearsal, verified execution, operational proof, business activation, stabilisation and formal transition to BAU. Approved plans become controlled live work with personal queues and deterministic Mission Control roll-up—with a governed Excel round-trip for teams that still need offline review.
Capture industry, systems, environments, interfaces and programme characteristics as explicit context—not assumptions buried in a spreadsheet.
Turn explicit industry, technology and stage context into relevant activities with confidence, provenance and inclusion reasons.
Compose versioned Retail, SAP and MuleSoft knowledge with organisation-specific capabilities instead of copying a static template.
Accept, reject and adjust recommendations, then connect owners, dependencies, gates, validation and rollback in one draft.
Promote through SIT, UAT, Dress Rehearsal and Production while completed runs inform future planning within the organisation.
Help planners understand recommendations without giving AI authority to generate, modify, approve, publish or promote.
Invoke each team’s approved delivery workflow only when dependencies and gates permit, verify its outcome, and preserve repository, commit, artifact and environment evidence.
Approve a runtime snapshot, release only eligible work and govern checklists, evidence, validation, approval and blockers through role-aware operational queues.
Compile vendor-neutral infrastructure domains, actions, sites and operational roles through the same governed architecture-to-BAU lifecycle.
Export architecture and complete plans for offline review, then validate imported ownership, timings, dependencies and planning changes before they re-enter governance.
Prove business processes, integrations, external partners, monitoring, support readiness and production smoke tests before activation is accepted.
Govern activation, hypercare stability, service transition, business acceptance and accountable handover through explicit capability states.
Ground Control does not replace GitHub, Azure DevOps or your deployment platform. It coordinates when each workflow is eligible to run, verifies the exact release that moved, and controls what becomes available next.
Readiness is grounded in the plan, controls, risks, validation evidence and open decisions. Ground Control explains the score, freezes the evidence and preserves the human decision.
High-confidence evidence
Low operational risk
Readiness, exposure, decisions and forecast impact—without operational noise.
Live, permission-aware viewThe complete command view: now, next, blocked, gates, exceptions, ownership and deterministic programme roll-up.
Live, permission-aware viewA focused My Work queue with eligible actions, operational checklists, required evidence and the next permissible step.
Live, permission-aware view