AI spreads across the employee journey
Talent, HR operations, learning, communications, managers, and employees can adopt different tools and assistants.
HR + workforce
AI is already inside workforce operations. Can you account for it?
Proxon gives HR, talent, learning, legal, privacy, security, IT, and finance teams one shared record of observed and registered AI systems, attributable adoption where identity is available, registered workflows, and available spend context.
Trusted by
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The control gap
AI adoption is moving faster than the workforce operating model.
AI enters people operations through writing, research, service delivery, learning, talent acquisition operations, analytics, and enterprise tools. The systems and responsibilities around that work can remain fragmented.
Sensitive decisions retain human owners
HR, legal, privacy, security, IT, and business leaders each own different controls and decisions around workforce work.
Spend and enablement separate
Enterprise licenses, embedded AI, and team tools create cost trails that do not automatically show where attributable adoption exists.
The management layer
One operating view of observed and registered AI
Proxon brings the records behind observed AI adoption, registered systems and workflows, and captured or provider-reported spend into one product. Each function can use the view its responsibilities require.
AI tools, models, agents, and connected services
Bring observed activity and registered systems into a shared inventory, with providers and data sources recorded alongside them when that context exists.
Attributable usage across the organization
Where identity is available, compare observed adoption across people, teams, and departments without turning presence into a performance judgment.
AI spend with organizational context
Review captured and provider-reported spend by provider, model, department, team, and registered workflow when that context is available.
Registered use cases and outcome signals
Keep registered workflows and their curated or reported outcome signals alongside the systems and teams involved in the work.
Shared workforce model
One AI record across people and business teams
Give HR, workforce enablement, legal, privacy, security, IT, and finance a common evidence layer while keeping employment decisions with accountable people.
HR and people operations
Understand which observed and registered AI systems support policy, service, communications, and administrative work.
Learning, talent, and workforce teams
Review attributable adoption and registered workflows across enablement, talent acquisition operations, and manager support.
Legal, privacy, security, and IT
Bring current evidence into privacy, information-security, vendor, and employment-process reviews.
Finance and procurement
Review available provider, seat, model, team, and workflow spend context before commitments are set.
Where AI enters workforce operations
One workforce, many AI-assisted workflows
Proxon keeps observed systems, attributable adoption, registered workflows, and available spend context together around HR and workforce work.
Policy and knowledge
Policy search, knowledge retrieval, summaries, and employee guidance preparation
HR service delivery
Case preparation, response drafting, handoffs, and service-quality support
Learning and enablement
Learning materials, skills support, manager resources, and program preparation
Talent acquisition operations
Job-description drafts, scheduling support, interview-guide preparation, and process summaries
Employee communications
Briefing, drafting, translation preparation, summaries, and campaign support
Workforce planning support
Research, analysis preparation, scenario materials, and reporting support
Proxon manages the layer around this work: observed and registered AI systems, attributable adoption where identity exists, registered workflows, and spend where context is available. HR, legal, and business owners remain responsible for hiring, promotion, compensation, performance, and other employment decisions. Proxon is not an employment decision system and is not intended to be used to infer protected traits. Highly sensitive identifiers require explicit written agreement.
The operating view
Answer the questions behind workforce reviews
Connect observed adoption, available spend context, and registered workflow signals without treating activity as evidence of employee performance or as input to an employment decision.
Adoption
See where AI is becoming part of workforce operations
Where identity exists, compare observed adoption across people, teams, and departments for enablement planning, not individual performance judgment.
Cost intelligence
Give HR, IT, and finance shared spend context
Review captured and provider-reported spend by provider, seat, model, team, and registered workflow when those dimensions are available.
Workflow outcomes
Review reported workforce signals beside registered work
Keep curated or reported outcome signals connected to adoption and cost while HR and business owners retain employment decision responsibility.
Bring workforce AI into view
Bring one AI operating record to the next workforce, privacy, or budget review.
See observed and registered systems, attributable adoption, registered workflows, and available spend context across HR and workforce teams.
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