Adoption
Go all-in on AI
Measure adoption to build proficiency, help every team move faster, and make the strongest AI workflows standard practice across the company.
Explore adoptionThe managementlayer for yourAI workforce
Turn AI from scattered experiments into a managed
system for performance and growth.
Trusted by
- Embrace
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- Edge Surgical
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The problem
AI adoption is exploding.
AI management doesn't exist.
AI is spreading across every function before leadership can see the full picture. Tools appear without approval, agents outlive their owners, costs lose context, and sensitive data can reach third-party models. The same blind spots make strong work hard to recognize and repeat.
01
AI activity stays hidden
Leadership lacks a complete inventory of the tools, agents, workflows, and data sources already in use.
02
Accountability breaks down
Owners, policies, and review schedules disappear as AI systems move from experiments into daily operations.
03
Value remains hard to prove
Usage and spend rise without a clear connection to business results.
The management layer
AI is already in the building. Proxon is how you get it under management.
Proxon creates one operating record for the AI systems already at work across the company. Leadership can see what exists, set ownership and policy, connect spend to outcomes, and help effective workflows reach more teams.
- 01
Discover
Build a current inventory of AI activity.
- 02
Govern
Attach ownership, policy, and review.
- 03
Attribute
Connect spend to the work behind it.
- 04
Measure
Track adoption, performance, and outcomes.
- 05
Propagate
Help effective workflows reach more teams.
The operating view
Manage AI like a workforce, not a pile of tools
Every leader sees the same AI organization from the angle their work requires. Adoption, cost, outcomes, ownership, and policy stay connected as people, agents, and workflows change.
Cost intelligence
Find out where the token budget is really going
Attribute spend to vendors, models, teams, workflows, and owners, then compare the investment with the work and results it supports.
Explore cost intelligenceOutcomes
Reveal the results AI is driving
Connect AI activity to business outcomes so leaders can invest in effective work and step in when performance drifts.
Explore outcomesOwnership, policy, lineage, and review history stay attached to the work throughout.
The result
From scattered experiments to a coherent AI organization
Proxon helps the whole company get better at using AI. Leaders can address risk earlier, direct budget with more confidence, and make successful ways of working easier to repeat.
See how Proxon can bring your AI workforce under management.
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Frequently asked questions
What does Proxon do?
Proxon is the management layer for your AI workforce. It maps the AI systems already running across the company, assigns ownership and policy, ties spend to teams and outcomes, measures adoption and performance, and helps effective workflows spread.
How does Proxon discover AI activity across the company?
Proxon combines integrations with configurable proxy, browser, and desktop collection. It normalizes those signals into an inventory of approved and shadow AI activity, including the systems, users, teams, workflows, costs, and policy context around it.
Does Proxon replace our AI tools or observability stack?
Proxon works across the tools and models your teams already use. It gives the company one management layer for inventory, ownership, policy, cost, adoption, and outcomes, while technical observability tools can continue tracing individual model calls.
What data does Proxon collect, and how is it protected?
Collection scope can be configured for each deployment and may include AI tools, agents, prompts, workflows, costs, policies, and outcomes. Proxon uses TLS in transit, encryption at rest where supported, tenant isolation, role-based access, and least-privilege controls. Security teams can review collection scope, retention, and integration boundaries before rollout.
Who is Proxon for?
Proxon is built for AI-forward organizations with 10 to 5,000 employees, where AI already spans teams and leadership needs a shared view of usage, risk, cost, ownership, and results. It supports Heads of AI and leaders in technology, operations, finance, security, legal, and enablement.
How does Proxon connect AI spend to business value?
Proxon connects vendor bills and model usage with the teams, workflows, owners, and outcomes behind them. Finance can see where the budget goes, while business leaders can see which activity is improving adoption, performance, or results.