C5i Launches Agent5i Platform for Enterprise-Scale AI Agents

Jan 27, 2026
C5i has introduced Agent5i, an enterprise-grade platform designed to help organizations operationalize and scale agentic AI systems across their business environments, offering governance, integration, and observability features.

C5i has launched Agent5i, an enterprise-grade platform designed to help organizations deploy and scale agentic AI systems across business operations, announced in a press release. The platform provides tools for planning, integrating, and governing autonomous agents in enterprise environments.

Agent5i unifies planning, intelligence, governance, and systems integration to automate critical workflows and decisions. It includes more than 150 connectors for integration with ERP, CRM, and data warehouse systems, allowing agents to operate within existing business platforms. The platform also supports cloud, hybrid, and on-premise deployments.

C5i said Agent5i offers full observability into agent behavior, performance, and cost drivers, along with automated tuning for improved reliability. It also includes predefined agent libraries and workflows tailored to specific industries, built from C5i’s work with global enterprise clients. Each agentic process can be audited and validated, ensuring compliance and operational control.

According to C5i, the platform enables enterprises to move from pilot projects to full-scale operational AI by converting business goals into governed workflows with built-in context, oversight, and regulatory alignment.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Enterprise AI Brief or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.