As organizations grapple with the transition from AI experimentation to enterprise-wide implementation, CBTS has announced the launch of Forge AI. This comprehensive solution integrates AI advisory, data readiness, and specialized engineering into a unified framework designed to establish a secure, high-performance foundation for artificial intelligence.
The problem Forge AI is designed to solve is an important one: the inability to transition from pilot programs into scalable, profitable production programs. The solution provides a roadmap to AI maturity, allowing businesses to apply practical AI solutions while keeping costs under control and achieving a strong ROI.
The framework builds upon a proven track record of AI-native services already utilized by major healthcare systems, financial institutions, universities, and public sector entities across North America. With a focus on “security by design,” Forge AI ensures that core technology infrastructure is resilient enough to support real-world AI demands from day one.
Driving Efficiency through Infrastructure Modernization
The move to prioritize infrastructure first is not just a theory but was demonstrated in a recent partnership with the Kentucky Community & Technical College System. On updating its core technology, the college managed to 95% reduce the volume of support tickets within a specified period. This change in operations offered the stability that the school needed to initiate institution-wide AI projects, which in the end led to reduced prices and gave the employees more time to concentrate on the educational goals, which are their main mission.
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Bridging the Gap Between Hype and ROI
Despite the proliferation of AI use cases, many organizations lack the IT maturity required for safe or profitable deployment. A 2026 report from Forrester Research highlights this challenge, noting that “more than 90% of companies have made limited progress in their data journey, falling further behind each year. AI models now demand accurate, contextual, and real-time data that is continuously maintained to produce reliable and explainable outcomes. Meeting these requirements at scale requires automated data discovery, governance, cleaning, and integration powered by AI-driven agents.”
CBTS Forge AI is designed to overcome the challenges through its five main pillars:
- End-to-End Lifecycle Partnership: From readiness assessments and strategy workshops, through custom agent engineering and 24/7 managed operations.
2. Innovative AI Development Studio: A development studio to fine-tune models, develop APIs, and integrate workflows, along with adoption playbooks to ensure ROI success.
3. Embedded AI-Native Security: Governance and security controls are built in to mitigate the major risk factors associated with the adoption of enterprise AI.
4. Vendor Agnostic Philosophy: Recommendations are made based on the needs of the client, as opposed to recommendations being based on the vendor’s own ecosystem.
5. Proven Methodology: The strategies are “battle-tested” internally by CBTS Forge before they are presented to the client, as opposed to theoretical frameworks.
Real-World Applications of Forge AI
CBTS is already seeing transformative results across various sectors:
• Automotive: A Global 100 manufacturer utilized secure private-LTE and real-time data streaming to eliminate connectivity failures for its autonomous robots, enhancing Industry 4.0 efficiency.
• Finance: A national institution transformed 14 years of transaction data into a secure, governed intelligence platform, enabling data-driven insights into liquidity and risk.
• Retail: A leading retailer across the U.S. and Canada unified fragmented data within a Microsoft Fabric environment, accelerating decision-making through governed AI pipelines.
“AI infrastructure is a critical growth driver for our clients,” said Justin Rice, Chief Product and Technology Officer at CBTS. “Successful AI deployment hinges on mature IT capabilities and data readiness. To cut through the hype and take control, Forge AI delivers the end-to-end strategy, roadmap, engineering, and managed services to safely deploy and capture value from AI. This allows CBTS to solve the foundational problems that stall AI initiatives, while clients focus on growth.”
