Services
Inventory, cost, risk and governance for all your enterprise agents.
A managed service that gives you one place to see every agent, how each one is performing, and what to change next.
On track, 6 Watch, 1 At risk, 3 Circle size is weekly cost
10
Agents monitored
92%
Average accuracy
$29.2K
Weekly AI spend
3
Agents flagged
The problem
Custom agents built by internal teams. Agents embedded inside Salesforce, SAP, ServiceNow and Microsoft. Point solutions stood up by individual departments.
No one can list every agent in production today, custom-built or vendor-embedded, let alone who owns each one.
Accuracy, cost and latency are never measured consistently, so quality degradation goes unnoticed until it becomes a customer complaint.
PII exposure, hallucination, drift and unauthorized actions carry real regulatory and brand risk, invisible until something breaks.
Reporting starts in week one. The infrastructure grows only as fast as you need it.
Complete register of every AI agent in use, custom-developed and third-party.
Accuracy, cost, latency, risk, drift and business outcome measured consistently for every agent, on day one.
A recurring report to CEO, CFO and CTO on risk exposure, agent performance and recommended changes.
As maturity grows, move from weekly reporting to live dashboards refreshed daily, then hourly.
Model right-sizing, workflow fixes, guardrails and performance improvements.
Agent inventory
We build a single, living register of every agent in your enterprise.
Internal LLM and agent workflows (Azure, LangGraph, OpenAI, Bedrock and more)Team- or department-built copilots and automationsClient-facing agents built by Wizr or other partnersSalesforce Agentforce, SAP Joule, ServiceNow Now AssistMicrosoft Copilot, Workday, Adobe and other SaaS-native agentsAny AI capability turned on inside a licensed platform, whether IT approved it or notDiscover
Structured discovery across IT, procurement and department leads
Audit
System and license audit across vendor platforms in use
Attribute
Attribution of each agent to a department, client or product
Monitor
Gaps flagged and closed as new agents are discovered
Baseline metrics
Performance and risk become comparable across the enterprise.
| Metric | Measurement approach |
|---|---|
| Accuracy | Human review, golden dataset, LLM-as-judge, business rule validation |
| Spend and cost | Platform consumption, model usage, infrastructure and license cost |
| Latency and reliability | Response and resolution time against SLA |
| Risk and compliance | PII exposure, policy violation, hallucination, unauthorized action |
| Business outcome | Time and effort saved, tickets resolved, invoices processed, cases closed, orders completed |
| Drift and change | Change in answer quality or behavior over time |
Weekly executive report
All 10 monitored agents, week of Jun 29 to Jul 5. Three are flagged, each for a different reason.
| Agent | Platform | Accuracy | Latency | Cost / wk | AI features live | Risk factor |
|---|---|---|---|---|---|---|
| Claims Intake | Custom | 96% | 4,200 ms | $3.1K | On track | — |
| Customer Service Bot | Custom | 95% | 3,800 ms | $2.8K | On track | — |
| Policy Renewal Assistant | Custom | 93% | 5,100 ms | $2.2K | On track | — |
| Document Extraction | ServiceNow | 97% | 2,900 ms | $1.9K | On track | — |
| Agent Performance Coach | Custom | 92% | 3,400 ms | $1.4K | On track | — |
| Billing Inquiry Bot | Custom | 94% | 3,600 ms | $2.0K | On track | — |
| Underwriting Support | Agentforce | 91% | 6,100 ms | $4.2K | Watch | Accuracy drifting toward threshold |
| Claims Fraud Triage | Custom | 88% | 7,200 ms | $5.6K | At risk | Accuracy below threshold |
| Vendor Invoice Matching | SAP Joule | 79% | 5,400 ms | $3.4K | At risk | PII exposure flagged in 3 sessions |
| Dealer / Partner Support | Agentforce | 90% | 4,800 ms | $2.6K | At risk | Attempted unauthorized system action |
Real-time analytics
Once the connectors are in, the weekly document becomes a live console. Every figure below traces back to an agent in the register, so a cost spike always has an owner.
Actual spend
Projected with right-sizing applied
$29.2K
per weekVendor-embedded platforms carry $12.1K a week, 41% of total spend, across four agents nobody built in-house.
Claims Fraud Triage
Route low-confidence cases to human review, move classification to a mid-tier model
Underwriting Support
Cache retrieval results and cut redundant tool calls per session
Vendor Invoice Matching
Mask PII upstream and batch document requests
Customer Service Bot
Enable prompt caching across the twenty most common intents
Optimize
The service should not only report metrics. It should trigger ownership and change.
| Metric | Measurement approach |
|---|---|
| Accuracy issue | Update prompt and RAG source, add a golden test, route low-confidence cases to human review |
| Cost anomaly | Right-size the model, cache, batch, throttle, remove duplicated agent calls |
| Latency issue | Simplify the workflow, reduce tool calls, move heavy evaluation async |
| Risk exception | Limit privileges, add approvals, mask PII, enforce policy guardrails |
| Poor adoption | Improve workflow fit, UI triggers, training and process ownership |
Weekly cadence creates accountability. Analytics infrastructure creates continuous control.
90-day rollout
A low-friction, services-led entry that can mature into a managed assurance platform.
0 to 30 days
Identify agents and ownersBuild the agent registerSample key transactionsDefine metrics and risk tiers31 to 60 days
Publish the weekly reportRun accuracy, cost and risk reviewsCreate the remediation backlogValidate savings and value hypotheses61 to 90 days
Connect high-priority data sourcesCreate the data store and dashboardsAutomate recurring metricsAdd alerts and budget guardrailsAfter 90 days
Drift and regression testingModel and vendor optimizationProcess redesignGovernance committee supportExplore our case studies to see how Wizr is helping enterprises drive measurable
transformation with AI.
AI-powered, human-driven. Inventory, cost, risk and governance for all your enterprise agents.
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