Unified agent visibility
Connect every AI agent, bot, and digital worker into one operational view. See task counts, completion rates, and throughput in real time — regardless of platform or provider.
Scale with AI
Digital Workforce Planning
Enterprises deploy dozens of AI agents and digital workers across departments — but without a planning model for digital work, utilization gaps, idle spend, workflow friction, and planning blind spots stay invisible until they compound into real cost.
~18,400
tasks tracked across agents
~22%
friction reduced in 90 days
~6,920 hrs
human effort replaced
The challenge
The Problem
As AI adoption scales, digital workers multiply across teams — each running on different platforms, models, and workflows. The result is a fragmented picture where no one knows which agents are productive, which are idle, where bottlenecks are eroding value, or how digital workforce performance should show up in budgeting, planning, and operating reviews.
AI agents run across silos with no unified visibility into utilization, throughput, or output quality
Friction points — failed tasks, retries, timeouts — accumulate invisibly until they impact delivery timelines
No shared metric exists for digital work across Finance, Ops, and Product teams
Digital workforce outcomes rarely connect to budgeting, capacity planning, or operating reviews
Teams can't distinguish high-performing agents from underperforming ones without manual investigation
Scaling decisions are based on vendor promises, not measured productivity data
The solution
How Econa Helps
Econa AI's Outcomes module captures every task, approval, and completion across all AI agents and maps it to human-equivalent effort. Combined with Foundation's unified data layer and Economics, teams can track digital workforce performance and connect those outcomes to budgeting, planning, and operating decisions by agent, workflow, team, and business unit.
Friction and failure detection
Automatically surface where tasks fail, retry, or stall. Identify the workflows and agents causing the most waste so you can fix bottlenecks before they scale.
Utilization and efficiency scoring
Measure agent utilization rates, output per cost, and idle time by team and workflow. Know which digital workers earn their keep and which need optimization.
Human-effort equivalence mapping
Translate every digital task into the human hours it replaces. Give leadership a metric they understand — not tokens processed, but work delivered.
Planning-system connectivity
Connect digital workforce outcomes to budgeting, capacity planning, and operating reviews so Finance and Operations teams can plan AI labor alongside human labor.
How it works
Three Steps
1
Connect your AI stack
Econa AI ingests data from every AI agent, workflow engine, and automation platform — no code changes required.
2
Map digital work to outcomes
Every task is classified, measured, and tied to a business workflow. Idle agents, failed tasks, friction, and human-equivalent effort are surfaced automatically.
3
Connect outcomes to planning
Use digital workforce outcomes to inform budgeting, capacity planning, and operating reviews so scaling decisions are backed by production data, not guesswork.
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