CFO, CIO and CTO offices
Spend & ROI
Portfolio spend, a spend forecast, cost per outcome and budget against actual. Used now and then, and clear at a glance.
XTrace is one core platform, configured to your KPIs and outcomes. Each surface is built for the people who use it, and all four share the same data.
Surfaces
Results at a glance, a place to run the program, and help inside the tools people already use.
CFO, CIO and CTO offices
Portfolio spend, a spend forecast, cost per outcome and budget against actual. Used now and then, and clear at a glance.
FinOps, platform and AI enablement teams
Where the work gets done: tagging and allocation rules, budgets, policies, anomaly alerts, routing configuration and recommendations to approve. Its adoption and coaching view shows where teams get stuck, what good practice looks like and which standards to roll out.
Everyone who uses AI tools
Works with the AI tools and coding agents your teams already use. It suggests the right model in the moment, trims prompts and context, keeps budgets in view and reuses what the team already knows. It enforces company policies and stops known mistakes inside the session, and each new fix XTrace finds reaches it automatically. Nearly invisible when everything is fine.
Runs in the background
Sits in the request path for agents and apps and runs the routing, caps and caching your team has set. It analyzes traffic and recommends changes, and a person approves each one in XTrace. It makes no change on its own.
Inside the platform
A high-level look at the views teams use most. Every one reads the same data.
Spend & ROI
Total AI spend at a glance for the CFO, CIO and CTO offices: where it goes, budget against actual, and a forecast from real usage.
From
AI providers, tools and billing
XTrace
One view of spend and budgets
You see
The forecast, and the forecast with suggested optimizations
Spend & ROI
Spend next to the outcome data your program tracks, so each team’s cost per outcome is plain to see.
From
Spend, and the outcome data your program tracks
XTrace
Matches cost to outcomes, by team
You see
Cost per outcome, against the KPIs you report on
Policies & recommendations
Where AI work goes wrong, team by team: failing tools, loops and missing context. Every finding is tracked until the fix is verified.
From
AI sessions, at team level
XTrace
Finds repeat mistakes and policy violations
Result
Fixes the XTrace plugin enforces automatically
Policies & recommendations
Changes that would lower cost or lift quality, such as a model or skill change, with estimated savings where XTrace can calculate them.
From
Usage, spend and work quality
XTrace
Suggests what to change
You decide
Approve the changes you want
Policies & recommendations
Shows which shared skills earn their keep, and suggests improvements for the ones that don’t.
From
The skills your teams share
XTrace
Compares how each one performs
You see
Suggested improvements
AI gateway
Routing, caps and caching for every team, set in one place. The AI gateway runs them on every call and recommends changes; a person approves each one.
From
Every model call
AI gateway
Runs your routing, caps and caching
You decide
Recommended changes wait for your approval
And more
Automatic anomaly alerts, budgets, adoption and coaching, and reports in the app or on a schedule.
How they fit together
The AI gateway sees every call and recommends changes, and a person approves each one in XTrace. Rules and policies reach the XTrace plugin automatically, and it enforces them inside each AI tool.
Request path. Every model call from AI tools, agents and apps passes through the gateway.
Recommends. The gateway analyzes traffic and surfaces routing, caching and budget changes. A person approves them in XTrace.
Enforces. Rules and policies go to the XTrace plugin, which applies them automatically inside each tool.
Where each surface sits. Gateway recommendations go up to a person; rules and policies go down to the plugin in each tool, automatically.
We’ll walk you through each surface, set up around the KPIs you already report on.