Geordie AI Adds Financial Tracking to Agent Management Platform

Geordie AI Ltd., which focuses on agent security, unveiled Cost Intelligence today—a new feature designed to map enterprise AI spending directly to the agents and workflows driving those expenses. The announcement marks an expansion of the company's agent risk management offering, moving beyond security concerns into the realm of financial oversight.

Typically, organizations track AI costs through consumption metrics alone. Billing statements reveal which models were used, the volume of tokens processed, and the associated charges. However, this approach provides no visibility into which agent initiated the spending or accounts for the variability in token consumption across different runs of the same agent.

Geordie quantified the financial impact of this blind spot. A retail company was hemorrhaging $1 million monthly by routing tasks to unnecessarily expensive models. At a financial institution, a single agent trapped in a tool loop consumed half the organization's entire monthly AI budget in just one day.

The platform's architecture positions it to capture this economic data. Because Geordie already monitors agents closely for security and governance compliance, it has direct visibility into agent behavior, token usage, model selection, and task execution. Operations teams can now follow spending fluctuations back to their source: the specific agent, the work it performed, and the responsible owner.

The system tracks spending across distributed environments—cloud services, code repositories, and endpoints—providing a more comprehensive view than solutions limited to a single gateway or model router.

Five Core Features

The release includes five distinct capabilities:

• Consolidation of spending from all connected platforms into one unified view, with costs attributed to the underlying work
• Drill-down analysis enabling teams to navigate from organization-wide totals down to specific platforms, teams, users, models, individual agents, or workflows
• Per-agent caching efficiency tracking that identifies which agents are underutilizing cache and quantifies the cost impact
• Token-efficiency mapping that compares spending against volume, preventing high-activity agents performing critical functions from being misclassified as wasteful
• Anomaly detection that flags agents caught in infinite loops, tasks assigned to oversized models, and sessions consuming tokens without meaningful output

Leadership Perspective

Tokens and invoices tell you what you consumed; they do not tell you what work drove that consumption. When you can see what an agent costs alongside the work it performed, you have the foundation for understanding agentic ROI, and that is exactly what Cost Intelligence delivers.

Henry Comfort, co-founder and chief executive of Geordie

Jacob Sweat, vice president of technology at customer Wood Partners LLC, described cost visibility as a major obstacle his organization had faced. Once the company gained insight into agent costs and whether those expenditures were producing tangible value, the conversation shifted from spending levels to spending justification. Co-founder and chief AI officer Hanah-Marie Darley emphasized that the risks posed by autonomous agents extend beyond security matters alone.

Company Background

Geordie is a venture-backed firm that has accumulated $36.5 million in funding since launching in September 2025. Balderton Capital led the $30 million Series A round completed in May. The $6.5 million seed round that preceded it was co-led by Ten Eleven Ventures and General Catalyst Group Management.