CBTS launched Forge Agents, a new platform that enables organizations to create enterprise-grade AI agents within days using plain-language descriptions of tasks and securely deploy them for operation.
A practical path to AI agents for the mid-market
Ungoverned agents and open-source models will be the biggest disruption to corporate and government cybersecurity. Governance and risk management, not the technology, are becoming critical bottlenecks to AI value. Cost, cybersecurity, and trust all must hold, or an AI risk gap emerges.
According to Forrester Research, 54% of enterprise AI decision-makers say the technology organization is leading their AI efforts, yet governance responsibility is split across seven or more roles, with no single function owning more than 28%. [1] That fragmentation is where AI pilots outrun organizational readiness. Mid-market organizations face the same security and governance requirements as large enterprises — with far fewer resources to meet them. CBTS Forge Agents give mid-market companies the same capability, so they can compete at scale and grow.
Mark Giles, Chief Technology Officer at CBTS, said: “Mid-market organizations need one partner that can deliver and manage the entire AI agent stack across infrastructure and software. Most companies already have powerful platforms. What they lack is the engineering to run agents securely, connect data to workflows, and prove ROI. We bring those pieces together, so AI becomes part of how the business runs.”
A secure place to experiment, a clear path to scale
As AI regulations tighten, responsible AI and compliance are coming to the forefront. CBTS Forge Agents give clients a defined path from use case to live operations, starting with a proven operating model defining who builds the agents, who runs them, and who is accountable when something goes wrong. Clients can start small, pay for what they use, and build once they know what works.
Buyers gain a secure place to test models against their own data as well as third party data, compare how each performs, and see real results before scaling. For cost-sensitive or regulated buyers, that path can stay entirely in your own tenancy, allowing data to be contained within that tenant and organizational governance.
CBTS clients across North America, including Fortune 500s and government agencies, helped shape our Forge AI advisory practice. Forge Agents apply that experience, allowing mid-market organizations to move on AI quickly. Key differentiators include:
- Board-level defensibility, built in: Access controls, intake gates, auditable decision trails, and explainable outputs build trust. Sensitive workloads can run in your tenancy backed by CBTS managed hosting and network security.
- No ecosystem to buy into: Agents run on the model and tenancy already in use, across Anthropic, Google, AWS, Cisco, or on-prem. Nothing to rip out or replace.
- In production within days:187 pre-built artifacts and 34 cross-industry blueprints get agents live fast. Describe the work in plain language, and CBTS Forge Agent builds it.
- Enterprise capability, mid-market reality: No $200K embedded engineers on a bench. CBTS Forge Agents deliver the same outcome at a price and speed mid-market buyers can act on. After go-live, CBTS can handle monitoring, accuracy reporting, improvement, and a human-in-the-loop supervisor layer.
CBTS now runs internal agents across customer experience, finance, operations, and workforce functions, with adoption across 2,300+ employees. CBTS built Forge AI based on these learnings. Security policy, metered spend, and usage analytics sit in one view tracked down to every user, skill, and token. CBTS reached full ROI within 4 months.
CBTS Forge Agents proven in highly regulated industries
CBTS built Forge Agents for organizations that can’t risk exposing sensitive data or intellectual property. CBTS delivers:
- Private or sovereign AI deployment models: Your AI workloads operate within infrastructure you control, ensuring sensitive data, intellectual property, and regulated content are never exposed to uncontrolled environments.
- Model flexibility: Choose between proprietary, third-party, open-source large language models based on performance, cost, and residency needs.
- Cloud tenancy control: Achieve security and operational control including encryption key management, audit trails, and data lineage governance.
- Sector-specific governance: Private and in-country deployments allow you to embed your sector-specific compliance, risk, and ethical standards.
For more information about CBTS Forge Agents, visit CBTS AI at Scale here.
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Citations
1 Forrester: “The CIO’s Responsibilities For AI Transformation Burst The Boundaries Of IT,” Ted Schadler with Mark Moccia, Callie Smith, Frank Harris; Jun 22, 2026
