Cyclotron launched Orbit on June 16, 2026, an AI-native platform that transforms enterprise migration data into real-time operational intelligence for mergers, acquisitions, and divestitures. The platform is already in production on engagements involving more than 25,000 user identities, pulling live signals from migration tools and Microsoft 365 to give executives answers that spreadsheets and weekly status decks cannot provide.
"Every enterprise transformation generates massive amounts of data, but very little intelligence," said Amber Bahl, CEO of Cyclotron. "Our AI Engineering strategy is focused on changing that. Orbit transforms years of delivery experience, migration telemetry, and operational knowledge into a living system that helps organizations make better decisions in real time."
The M&A intelligence gap
M&A integrations are among the most time-sensitive and executive-visible programs an enterprise runs. Yet the standard tooling - vendor consoles, spreadsheets, and slide decks - leaves leadership without timely answers to basic questions: where are we, what's at risk, and will we hit the target completion date. Every migration generates data, but until now, none of that data was organized into an intelligence layer that leadership could act on directly.
Orbit closes that gap by pulling real-time signals from Quest, BitTitan, ShareGate, and Microsoft into a single executive view. The platform validates every migrated identity against litigation hold, license, and access policy requirements, then produces wave-by-wave reporting that does not require an analyst to translate.
How Orbit works
Orbit was designed from the ground up as an AI-native platform, combining large language models, workflow orchestration, domain-specific intelligence, and operational telemetry. The system continuously analyzes migration data, identity signals, project events, and operational telemetry to identify risk, validate assumptions, and surface issues before they become incidents.
The platform anchors on three components critical to M&A integrations:
- Detection and observability across Quest, BitTitan, ShareGate, and Microsoft, providing engineers with granular data and executives with ready-to-use reporting.
- Identity and access validation, including litigation hold checks, license verification, and conditional access posture review - catching the issues that drive most M&A disruption.
- Wave planning and executive reporting using structured sequencing that keeps time-sensitive work on track and produces reporting leadership can understand at a glance.
Bahl said the company believes every major transformation program will eventually require an operational intelligence layer. "Orbit is our first step toward that vision."
What comes next
While Orbit's initial release targets M&A, Cyclotron plans to expand the platform into a broader enterprise transformation intelligence system. Future releases will introduce AI-powered risk analysis, predictive timeline forecasting, automated remediation recommendations, and executive copilots. The roadmap also includes cross-platform visibility spanning Microsoft Security, Identity, Compliance, Data Governance, and AI initiatives.
"What we've developed isn't a dashboard," said Hart. "It's the intelligence layer that critical business decisions run on, providing clarity, speed, and confidence for executives throughout every enterprise transformation initiative."
Why this matters for Executives and Strategy
Orbit represents a shift in how enterprise transformation programs get managed - moving from reactive reporting to real-time intelligence. For executives overseeing M&A integrations, the platform removes the lag between when a problem surfaces in migration data and when leadership learns about it. The operational intelligence approach Cyclotron is building applies directly to the AI for Executives & Strategy challenge: turning raw operational data into decisions without waiting on analyst translation. For organizations running complex, multi-thousand-user consolidations, that speed translates into lower integration risk and fewer post-close surprises.
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