Core metrics applicable across all sectors and engagement types
| KPI | Definition | Target Range | Measurement |
|---|---|---|---|
| Process Automation Rate | % of tasks handled end-to-end by agents without human intervention | 60–85% | Automated tasks / Total tasks |
| Exception / Escalation Rate | % of transactions requiring human review or override | <15% | Escalated items / Total processed |
| Average Time to Resolution | Mean time from task initiation to completed outcome | Sector-dependent | Timestamp delta (start to close) |
| Audit Trail Completeness | % of decisions with full logged rationale and data lineage | 100% | Logged decisions / Total decisions |
| Compliance Score | Weighted score of regulatory requirement adherence | ≥95% | Passed checks / Total checks |
| Cost per Transaction | Fully loaded cost to process one unit of work (before vs. after) | 30–70% reduction | Total cost / Transaction volume |
| Return on Investment (ROI) | Net cost savings divided by total investment in agent governance | ≥200% (Year 1) | (Savings - Investment) / Investment |
| KPI | Definition | Target |
|---|---|---|
| False Positive Rate | % of content incorrectly flagged as violating policy | <10% |
| Missed Violation Rate | % of actual violations that were not detected | <2% |
| Time to Human | Average time from AI flag to human moderator review | <5 min |
| Content Throughput | Posts processed per agent per hour | ≥500/hr |
| KPI | Definition | Target |
|---|---|---|
| KYC Processing Time | Average time to complete one KYC review | <12 min |
| Compliance Gap Count | Number of regulatory requirements not fully met | 0 |
| Fraud Detection Rate | % of fraudulent transactions correctly identified | ≥98% |
| Customer Satisfaction | Post-interaction NPS / CSAT score for AI-assisted interactions | ≥4.2/5 |
| KPI | Definition | Target |
|---|---|---|
| Process Cycle Time Reduction | % decrease in end-to-end process duration after agent deployment | ≥40% |
| Document Processing Accuracy | % of documents processed without error | ≥97% |
| Knowledge Base Coverage | % of organizational knowledge captured and searchable by agents | ≥80% |
How we measure and project return on investment for AI agent governance engagements
ROI = (Value of time saved + Cost of errors avoided + Compliance penalty prevention) / Total K0nsult investment
Projected 12-month ROI with break-even point. Year 2-3 projections include 15% annual maintenance cost and 10% efficiency improvement compounding.
Interactive tool to estimate projected savings, payback period, and multi-year ROI for your AI agent governance engagement
| Metric | Year 1 | Year 2 | Year 3 | Cumulative |
|---|---|---|---|---|
| Cost Savings | -- | -- | -- | -- |
| Investment | -- | -- | -- | -- |
| Net Benefit | -- | -- | -- | -- |
| ROI | -- | -- | -- | -- |
Projections are estimates based on typical engagement outcomes. Actual results depend on process complexity, data quality, and organizational readiness. Year 2–3 include 15% annual maintenance cost and 10% efficiency improvement compounding.