Integris has launched CORE, a
managed services offering designed to help small and midsize businesses adopt AI while managing the security, data, and operational complexities that come with it. The offering brings managed IT, cybersecurity, automation, data governance, employee training, and AI support under one service, and is aimed at businesses that have begun testing AI but still need the policies, technical setup, and internal expertise to use it more widely.
Integris focuses CORE pricing on predictability
Adel Strauss, Integris’ vice president of product and portfolio, said the service is structured around ongoing management rather than individual AI tools or usage-based add-ons.
“CORE is designed as a managed operating model, not simply a collection of AI licenses or add-on services,” Strauss said. “Rather than positioning the conversation around individual technologies, we focus on delivering a broader set of capabilities that help clients improve productivity, strengthen governance, reduce risk, and adopt AI more effectively.”
AI usage can make monthly costs harder to predict as employees use more models, agents, and automated workflows. Strauss said Integris will manage those costs through usage policies, clear priorities, and closer oversight of AI deployments.
“From a customer perspective, predictability is important,” he said. “Businesses do not want surprise invoices tied to experimentation with AI. Our approach is to help clients establish governance, usage policies, prioritization, and operational discipline around AI technologies so that adoption remains aligned to business objectives.”
The company’s position is that AI spending should be tied to defined business needs rather than open-ended consumption.
“The conversation we have with clients is ultimately about outcomes, not tokens, prompts or model consumption,” Strauss said. “We help organizations determine where AI and automation create meaningful business value and then govern those initiatives responsibly.”
Measuring productivity will depend on the customer
Integris will measure CORE against each customer’s business and operational goals rather than use a single ROI target or timetable.
“The specific metrics will vary by customer because every organization starts from a different place,” Strauss said. “Some of our customers are focused on reducing manual effort, some on improving service levels, some on strengthening governance, and others on accelerating growth without adding headcount.”
Potential measures include reductions in repetitive work, improvements in security posture, and better use of existing technology investments. The results will depend on factors including data quality, process maturity, employee adoption, and support from business leaders.
“We’re careful not to promise a universal ROI timeframe because meaningful results depend on various factors, including leadership engagement, data readiness, process maturity, and adoption,” Strauss said.
AI is changing the economics of managed services
AI services have also introduced a margin challenge for MSPs. Model usage, data processing, and automated agent activity have created or can create unpredictable delivery costs, especially when customer demand increases faster than expected.
Strauss said Integris is addressing that issue by embedding AI into its wider service delivery model instead of treating it as a separate product.
“AI can’t be something bolted onto managed services as a standalone offering,” he said. “It has to be embedded across the entire service delivery model, which is exactly why we built CORE.”
Integris expects human oversight to remain part of the service as customers use AI in more sensitive workflows. That includes decisions involving security, compliance, data access and business operations.
“As AI agents, automation and data services become more common, the differentiator won’t be which MSP automates the most,” Strauss said. “It will be the MSP that combines AI with human expertise to deliver better, more secure business outcomes.”
Integration and governance are fundamental
Other MSPs can buy many of the same AI, security, and automation tools. Strauss said the harder part is combining them into a service that customers can adopt, manage, and keep using over time.
“Any provider can acquire AI tools, security products, or automation platforms,” he said. “Technology itself is rarely the differentiator. The harder challenge is bringing those capabilities together into a single operating model that clients can actually adopt and sustain over time.”
Integris sees governance as a key part of CORE. That includes setting rules for data access, deciding who can use specific AI tools, and defining where human approval is required. It also means fitting AI use into existing security, compliance and information management programs.
“CORE was built around the idea that successful AI adoption requires governed data, clear policies, user enablement, and executive alignment, not just access to a model or platform,” Strauss said.
