Omega Systems, a managed IT and cybersecurity services provider, has announced a managed AI suite built for healthcare and financial services organizations to help them adopt AI, protect sensitive data, and automate business workflows.
The suite brings together industry-specific guidance on AI adoption and governance to help customers address considerations such as HIPAA privacy and security requirements and SEC and FINRA recordkeeping obligations.
Omega Systems targets AI security and governance risks
Omega Systems said it designed the suite to address risks associated with AI tools connecting to business data, excessive permissions, and oversharing that can extend sensitive information beyond its intended audience.
The suite features four connected areas including:
- Omega AI Ready | AI Posture Assessment: Evaluates Microsoft 365 or Google Workspace environments to uncover sensitive data exposure, excessive sharing, identity and access risks, governance gaps, and connected AI applications. Customers gain an AI posture score, concrete findings, a prioritized remediation roadmap, and a leadership briefing to inform decisions about new AI adoption or tools already in use.
- Omega AI Workspace | Managed AI Workspace and Guided Adoption: Helps organizations select, configure, and manage AI platforms that align with their data and business requirements. Training, adoption guidance, and visibility into usage and consumption help employees apply AI to everyday work while giving leaders greater oversight of their investment.
- Omega AI Secure | Managed AI Security and Governance: Provides ongoing monitoring and management of AI security and the underlying data environment, with Omega’s 24×7 SOC team supporting. The service addresses unauthorized AI use, sensitive data exposure, and changes in permissions and configurations, with logging and reporting to support customers’ compliance and audit requirements.
- Omega AI Automate | AI Workflow Automation: Focuses on identifying and implementing opportunities to reduce repetitive work, improve handoffs, and connect business processes, starting with understanding the workflow and determining where AI, conventional automation, or a combination can deliver meaningful value.
“In regulated industries, ‘move fast and figure it out later’ is a risky AI strategy. But standing still carries consequences of its own,” said Bill Wosilius, CEO of Omega Systems. “Buying a tool is the easy part. Making it valuable takes sustained attention to how people use it, what it can access, and how it supports the business.”
“We built this suite to bring that guidance and management to AI adoption. It’s a natural extension of the trust customers place in Omega to manage and protect their operations,” Wosilius adds.
Chris Knotts, who recently took on the role of Vice President of Product and Technology, will lead Omega’s AI and automation strategy.
“A healthcare practice and a financial services firm both want the benefits of AI, but the data they protect and the rules they answer to are very different,” said Knotts. “Whether it’s protecting patient records under HIPAA or preserving financial communications under SEC and FINRA rules, those obligations shape how AI should be selected, deployed, and governed.”
Knotts previously founded PEAKE Technology Partners, a healthcare-focused MSP acquired by Omega in October 2025.
Managed AI creates new opportunities for MSPs
For MSPs, Omega’s expansion reflects a broader opportunity to move beyond implementing AI tools and into managing how those tools operate across customer environments. AI adoption introduces ongoing requirements around data access, employee usage, security monitoring, and governance, potentially creating new recurring service opportunities for providers with established customer relationships.
The emphasis on healthcare and financial services also highlights the potential value of industry specialization. MSPs that already understand customers’ infrastructure, compliance obligations, and operational workflows may be better positioned to support AI deployments than providers focused primarily on technology procurement and implementation.
“Because we manage these environments every day, we understand where sensitive data lives, which applications depend on it, and how organizations in these industries are approaching AI,” Knotts continued. “That knowledge helps us guide customers toward practical uses for AI that fit their workflows and account for their industry obligations.”
READ MORE: MSP owners across the channel are building service offerings that enable customers to move beyond AI pilots into production-ready systems.