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Spyglass MTG Launches AI Navigator

Spyglass MTG launches AI Navigator, a structured framework helping enterprises adopt, govern, and scale AI securely with trusted data and business value.

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Jordan Smith
Jordan Smith
Jan 21, 2026
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Spyglass MTG, a consulting firm delivering data, AI, and security solutions on Microsoft platforms, recently announced the release of AI Navigator, a framework designed to help enterprises adopt, scale, and govern AI with clarity, security, and measurable business value.

Supporting the increased demand for enterprise AI

With the rising demand for enterprise AI adoption, fragmented experimentation has also increased significantly.

This increase in fragmented experimentation also coincides with ambiguous returns on investment, unmanaged shadow AI, disconnected, low-quality data, and rising governance and security risks.

To address these issues, Spyglass MTG developed AI Navigator. This solution provides a clear, structured framework that helps organizations connect trusted enterprise data to AI initiatives, choose the right technologies, and establish a secure, scalable foundation.

“Enterprises don’t need another AI tool,” said Dori Albert, CEO of Spyglass MTG. “What they need is a proven, repeatable way to turn AI into real business impact without adding risk. AI Navigator delivers exactly that. It grounds every initiative in strong data foundations and governance, aligns with business outcomes, and scales responsibly so teams are empowered, not disrupted.”

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AI Navigator provides a framework for AI adoption with governance and compliance embedded

Spyglass MTG’s methodologies, proprietary code accelerators – AI GENIE and Fabric LOOM – and delivery practices are consolidated into AI Navigator. This enables it to meet organizations at any stage of their AI journey.

The AI Navigator framework helps organizations navigate the AI landscape, enabling them to focus on high-impact use cases while embedding governance and compliance.

The three integrated tracks of the AI Navigator solution include:

  • Business and AI journey to value: Aligns AI initiative to business priorities, success criteria, and ROI.
  • Data and AI foundations: Establishes secure, governed platforms with built-in access, lineage, and cost controls.
  • AI delivery: Enables scalable, production-grade AI using repeatable patterns for agents, orchestration, and operations.

“For AI to create value, it must be aligned with clear business goals, and built on secure, well-governed platforms,” said Ian Dickler, CTO of Spyglass MTG. “AI Navigator provides a framework and tools for enterprises to operationalize AI responsibly while ensuring it delivers real, scalable impact across teams.”

The framework enforces role-based access, governed data usage, and ethical guardrails, while emphasizing AI as a tool for empowering enterprise teams to work smarter and faster.

It builds on Spyglass MTG’s enterprise experience across regulated and data-intensive industries, including insurance, healthcare, financial services, manufacturing, retail, and higher education.

Additionally, AI Navigator enables enterprises to move from experimentation to operational AI faster, at lower cost, and with reduced risk.

Organizations are increasingly trying to move AI out of demos and into real-world use. Read more about how MongoDB is attempting to push out production-ready AI in 2026.

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Jordan Smith

Jordan Smith is a news writer who has seven years of experience as a journalist, copywriter, podcaster, and copyeditor. He has worked with both written and audio media formats, contributing to IT publications such as MeriTalk, HCLTech, and Channel Insider, and participating in podcasts and panel moderation for IT events.

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