Product Overview
AI is advancing faster than the controls around it. New models arrive every month, and autonomous agents now carry out tasks across business applications with less human oversight. More than 75% of organizations say AI adoption is outpacing their governance capabilities. 1
Native AI cost tools report on one provider at a time, creating a fragmented picture of AI spend usage. With TokenOps, FinOps teams can quickly onboard providers and services to gain a unified view of their AI estate, confidently attribute spend across users, agents, teams, and business units, and enforce guardrails to control which models and services their teams use. Identify which AI investments are returning value, retire those that aren’t, and defend ongoing AI commitments to executive stakeholders and board members.
Govern AI with the same attribution, policies, and evidence trail you already use for cloud.
See spend across providers and services in one view, down to the model, agent, and user, to identify savings opportunities.
Approve which models teams can call and screen prompts for sensitive data before requests run.
Capabilities
Onboard the AI providers, services, and agents your teams already use along with any additional configurations. TokenOps maps where spend comes from, ties it to business outcomes, and keeps usage within approved boundaries.
Map spend at the user, agent, team, and business unit (BU) level, as well as for each AI workload to ensure charges are correctly attributed to the teams that drive them.
Unit economics including cost per user, agent, application, session, or pull request, tie ongoing AI investments to business outcomes, enabling teams to measure which investments pay off.
Set model allow-lists, screen prompts for PII, and track progress with a single governance score.
Recognition

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Resources
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