NewRocket launches Maestro to manage enterprise AI
NewRocket on June 29 launched Maestro, an AI orchestration and governance offering built with ServiceNow AI Control Tower. The product is designed to help enterprises move from AI experimentation to measurable business outcomes with visibility, controls, and value tracking across the AI lifecycle.
Why it matters: - Enterprises are scaling AI faster than they can govern and measure it. - Maestro is designed to give companies a single operating model for AI, reducing fragmentation, risk, and wasted investment. - The offering aims to connect AI projects directly to business KPIs so leaders can prove impact, not just deploy tools.
What happened: - NewRocket announced Maestro, an AI orchestration and governance offering, on June 29, 2026. - Maestro combines ServiceNow AI Control Tower with NewRocket advisory and delivery services. - The launch is aimed at organizations that want to move beyond AI experimentation and operationalize AI across the enterprise.
The details: - Maestro is built to coordinate AI across the full lifecycle, from intake and governance through adoption, optimization, and ongoing value measurement. - The offering includes a centralized AI inventory. - Maestro includes embedded governance, risk and compliance controls. - The offering supports frameworks including the EU AI Act and the NIST AI RMF. - Maestro measures and tracks value against business KPIs. - NewRocket delivers Maestro through advisory, implementation, and managed services. - Capabilities include orchestration and management of the full AI enterprise across ServiceNow AI and other enterprise AI products. - The offering includes lifecycle workflows from intake to monitoring and renewal. - Maestro provides maturity-based engagement tailored to where an organization is in its AI journey. - Entry points include AI asset inventory, lifecycle management, and value realization.
Between the lines: - ServiceNow AI Control Tower provides visibility and governance, but NewRocket says enterprises still need operating-model design, process definition, and business-outcome alignment. - Melissa Cohoe, Global Strategist for Security, Risk and Resilience at NewRocket, said AI without structure can create fragmented outcomes and increased risk. - The strategy behind Maestro is to make governance a growth enabler rather than a brake on innovation.
What's next: - NewRocket will use Maestro to help customers establish accountability for AI and continuously optimize results. - Organizations adopting Maestro can start with one area, then expand toward a fully orchestrated and governed AI program. - NewRocket is positioning the offering as a path to faster adoption with more control, compliance, and confidence.
The bottom line: - Maestro is NewRocket’s bid to turn enterprise AI from scattered experiments into a managed business system.
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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