Analytics for every
agent and bot.
Measure ROI, monitor reliability, govern risk, and unify data across AI agents, RPA bots, workflow automations, and autonomous business processes.
Updated
Automation is becoming agentic.
Visibility has not caught up.
Enterprises now run a mix of AI agents, RPA bots, workflow automations, custom scripts, APIs, orchestration tools, and human approvals. Traditional dashboards show siloed technical logs, not business value, operational reliability, or governance risk.
Fragmented visibility across tools and platforms
Bots, agents, APIs, and orchestration tools each produce siloed data that never adds up to a coherent picture.
No clear view of ROI or business outcomes
Activity metrics don't translate into cost savings, capacity gains, or revenue increases.
Hard to monitor agent reliability
AI agents make decisions, call tools, and hand off work. Traditional monitoring wasn't built for this.
Exceptions and handoffs buried across systems
Failures, retries, and human escalations live in logs no one reads until something breaks.
Governance gaps widen with autonomy
As agents take on more decisions, ownership, audit trails, and policy adherence become harder to track.
Integration data scattered across logs and APIs
Connecting signals from a dozen platforms requires custom engineering that never stays current.
Leaders lack one source of truth
No single view of automation performance, ROI, risk, and coverage means decisions are made blind.
One analytics layer for the
agentic automation stack.
AutomationAnalytics.ai is a unified intelligence layer for measuring, monitoring, governing, and connecting automation across the enterprise.
ROI and value realization analytics
Connect bot runs, agent actions, and workflow completions to cost savings, FTE capacity released, and measurable business outcomes.
Agent and bot observability
Monitor performance, success rates, latency, tool calls, exceptions, and reliability across every automation type.
Workflow reliability tracking
Track completion rates, failure hotspots, retry loops, SLA breaches, and operational bottlenecks end to end.
Exception and human handoff monitoring
Surface escalations, approval checkpoints, human interventions, and override patterns across all workflows.
Governance and risk signals
Track ownership, policy adherence, audit trails, control failures, and risk events across autonomous workflows.
Cross-platform integration intelligence
Unify automation data from AI-agent platforms, RPA tools, workflow engines, APIs, and enterprise systems.
Automation portfolio view
Understand the health, coverage, value, and risk profile of your full automation estate in one place.
Business outcome tracking
Map automation activity to process-level outcomes, department targets, and enterprise KPIs.
One platform. Four questions answered.
What business value are we creating?
Connect automation activity to cost savings, productivity gains, SLA improvements, capacity released, revenue protected, and measurable outcomes.
Explore ROIWhat is happening across our automation estate?
Monitor agents, bots, workflows, APIs, tool calls, latency, failures, retries, handoffs, and performance across the full automation lifecycle.
Explore ObservabilityCan we scale autonomy safely?
Track ownership, controls, policy adherence, audit trails, risk events, approvals, escalation paths, and human-in-the-loop oversight.
Explore GovernanceCan we connect the platforms behind our automation ecosystem?
Unify signals from AI-agent platforms, RPA suites, workflow engines, iPaaS tools, logs, APIs, enterprise applications, and data platforms.
Explore IntegrationBuilt for the agentic AI era.
From bots that follow rules to agents that make decisions. New analytics must track outcomes, decisions, interventions, failure modes, data movement, and business impact — not just uptime.
- Bot runs
- Success / failure
- Queue status
- Processing time
- Basic exception logs
- Siloed platform reports
- Goal completion
- Tool-call performance
- Reasoning path visibility
- Human intervention rate
- Outcome quality
- Policy and governance adherence
- ROI by workflow
- Risk and escalation signals
- Cross-platform integration health
- Business impact tracking
Who it is for.
Automation CoEs
One view of portfolio performance, ROI, and operational health across every automation type and platform.
AI Transformation Teams
Measure the impact of AI-agent deployments and multi-agent workflows as they move into production.
CIO & Technology Leaders
A single source of truth for automation value, coverage, risk, and strategic priorities.
Operations Leaders
Monitor reliability, exceptions, handoffs, and process outcomes across shared services and back-office operations.
Shared Services Teams
Track automation adoption, quality, and business impact across finance, HR, procurement, and customer operations.
AI Agent Platform Companies
Demonstrate measurable ROI, reliability, and governance to enterprise buyers evaluating agentic platforms.
Automation Consultants & SIs
Deliver analytics-backed evidence of automation value to clients and build differentiated service offerings.
GRC Teams
Ensure bots and agents operate within policy, maintain audit trails, and support compliance reporting.
Metrics that matter.
Purpose-built measures for every dimension of automation performance.
Ready to measure the next generation of automation?
Build one source of truth for ROI, observability, governance, and integration across every bot, agent, and workflow.
Request access