
CBTS launched Forge Agents to build custom AI agents in days. Midmarket companies are the target.
The platform runs on existing models and cloud tenancy. It includes enterprise security controls and governance features.
CBTS says internal payback came within three months.
What happened
CBTS Technology Solutions LLC launched Forge Agents, a platform that turns a plain-language job description into a working AI agent under enterprise security controls. It is available now.
Why it matters
The platform targets midmarket companies that face the same regulations and security reviews as large enterprises but lack the engineering staff. CBTS cites a Forrester report finding governance responsibility split across seven or more roles, with no single function owning more than 28%.
What to watch
CBTS says agents get into production in days, built from 187 prebuilt artifacts and 34 cross-industry blueprints. The platform runs on models and cloud tenancy clients already pay for, spanning Anthropic, Google, Amazon Web Services, Cisco, or on-premises hardware.
Ask the AI about this article →
CBTS is positioning Forge Agents as a solution for midmarket companies that must meet enterprise-grade governance demands without a large engineering team. The company argues these firms face the same regulatory and security reviews as larger enterprises, but lack the resources to address them. The Forrester report cited in the announcement, which shows governance responsibility split across seven or more roles with no single function owning more than 28%, underscores the scattered accountability CBTS aims to consolidate.
The platform extends Forge AI, the advisory and infrastructure practice CBTS introduced in March. By allowing agents to run on infrastructure clients already pay for, CBTS avoids the need for rip-and-replace deployments. The company has also tested the software internally, with more than 2,300 employees working alongside agents across customer experience, finance, operations, and workforce functions, reporting payback within three months. This internal rollout serves as a reference point for what midmarket buyers might expect, though results may vary by use case.
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