Use case library
What agents answer from one telemetry record
43 enterprise scenarios, each with the telemetry it draws on, the questions an agent answers, and the business outcome it moves. Filter by capability, outcome, or the role that owns the result.
43 of 43 use cases
Customer growth
Identify customers ready to expand
Account teams often do not know which customers are reaching the limits of their current plan or are showing signs that they are ready to adopt more products, users, or capacity.
AI-driven decisions · Chief Information Officer / Chief Revenue Officer
Read the use case →Customer growth
Accelerate customer onboarding
New customers become delayed or disengaged when onboarding steps, integrations, data imports, approvals, or training activities fail without early intervention.
Root cause analysis · Chief Information Officer / Chief Customer Officer
Read the use case →Customer growth
Find underpenetrated customer segments
The business may not know which customer segments could achieve stronger adoption, retention, or expansion if they were guided toward the right features or workflows.
AI-driven decisions · Chief Information Officer / Chief Revenue Officer
Read the use case →Customer retention
Detect customers becoming disengaged
Customer disengagement is often recognized only after usage has materially declined or a renewal is already at risk.
Root cause analysis · Chief Information Officer / Chief Customer Officer
Read the use case →Customer retention
Recommend the next best customer action
Customers are often given generic guidance even though their product history and current behavior indicate a specific next action that would improve adoption.
AI-driven decisions · Chief Information Officer / Chief Customer Officer
Read the use case →Customer retention
Provide proactive customer support
Customers frequently experience repeated errors or failed workflows before they open a support case, creating avoidable frustration and support cost.
Root cause analysis · Chief Information Officer / Chief Customer Officer
Read the use case →Customer retention
Explain customer-impacting failures
A customer journey can fail even when individual systems appear healthy, making it difficult to determine why customers abandon applications, purchases, or digital workflows.
Root cause analysis · Chief Information Officer / Chief Customer Officer
Read the use case →Operational efficiency
Detect and resolve stuck business processes
Orders, claims, loans, invoices, onboarding cases, and approvals can stop progressing across multiple systems without clear ownership or explanation.
Root cause analysis · Chief Information Officer / Chief Operating Officer
Read the use case →Operational efficiency
Optimize large business processes
Leaders often know that a process is slow but cannot see which steps, teams, regions, systems, or process variants create the delay.
Root cause analysis · Chief Information Officer / Chief Operating Officer
Read the use case →Operational efficiency
Eliminate avoidable manual work
Employees repeatedly re-enter data, reassign cases, correct the same errors, perform predictable approvals, and reconcile failed workflows that should be automated.
AI-driven decisions · Chief Information Officer / Chief Operating Officer
Read the use case →Operational efficiency
Prioritize technology problems by business impact
Technology teams often prioritize incidents using technical severity without understanding the customers, revenue, transactions, or obligations affected.
AI-driven decisions · Chief Information Officer
Read the use case →Operational efficiency
Investigate a critical production incident
During a P1 incident, evidence is fragmented across applications, databases, infrastructure, deployments, networks, identities, and transactions.
Root cause analysis · Chief Information Officer
Read the use case →Technology optimization
Reclaim unused software licenses
Premium software licenses remain assigned to employees who rarely or never use the application.
AI-driven decisions · Chief Information Officer
Read the use case →Technology optimization
Right-size software license tiers
Employees may hold premium licenses even though their actual usage only requires a lower-cost tier.
AI-driven decisions · Chief Information Officer
Read the use case →Technology optimization
Consolidate duplicate software
Different business units purchase overlapping applications, creating unnecessary cost, fragmented workflows, and inconsistent governance.
AI-driven decisions · Chief Information Officer
Read the use case →Technology optimization
Remove stale employee and contractor licenses
Software access remains assigned to former employees, inactive contractors, or transferred users after their business need has ended.
Compliance and audit history · Chief Information Officer / Chief Information Security Officer
Read the use case →Technology optimization
Identify software shelfware
The enterprise purchases a large number of licenses for strategic platforms, but adoption remains too low to justify the investment.
AI-driven decisions · Chief Information Officer
Read the use case →Customer growth
Optimize how customers use the company's software
Product roadmaps are often shaped by anecdotal feedback rather than evidence showing which features improve retention, create frustration, or drive revenue.
AI-driven decisions · Chief Information Officer / Chief Revenue Officer
Read the use case →Revenue protection
Detect orders delivered but not billed
Goods or services can be delivered successfully while integration or billing failures prevent invoices from being generated.
Root cause analysis · Chief Information Officer / Chief Financial Officer
Read the use case →Revenue protection
Detect unauthorized discounts and pricing leakage
Discounts, pricing overrides, and contract exceptions can reduce margin when they exceed policy or are applied without proper approval.
Investigations and forensics · Chief Information Officer / Chief Financial Officer / Chief Revenue Officer
Read the use case →Revenue protection
Recover invalid deductions and write-offs
Customers may take deductions, discounts, credits, or write-offs that are not contractually valid, and high-value recovery opportunities can remain buried in transaction histories.
Investigations and forensics · Chief Information Officer / Chief Financial Officer
Read the use case →Revenue protection
Reduce failed renewals and subscription leakage
Renewals fail because of payment errors, inconsistent contract dates, missed notices, incomplete retries, or incorrect account status.
Root cause analysis · Chief Information Officer / Chief Financial Officer / Chief Revenue Officer
Read the use case →Revenue protection
Prevent revenue loss from operational failures
Inventory, checkout, promotion, payment, delivery, and mobile-application failures can interrupt customer purchases and silently reduce revenue.
Root cause analysis · Chief Information Officer / Chief Revenue Officer
Read the use case →Operational efficiency
Shorten order-to-cash
Credit blocks, delivery blocks, missing approvals, invoice errors, disputes, and payment-application failures delay cash collection.
Root cause analysis · Chief Information Officer / Chief Financial Officer / Chief Operating Officer
Read the use case →Risk reduction
Detect fraud and transaction abuse
Refund abuse, promotion abuse, account takeover, and coordinated fraud can appear legitimate when each transaction is examined in isolation.
Investigations and forensics · Chief Financial Officer / Chief Information Security Officer
Read the use case →Risk reduction
Identify attack paths before attackers use them
Isolated vulnerabilities, identity weaknesses, network paths, and control gaps can combine into a realistic route to a critical system.
Security detection · Chief Information Security Officer
Read the use case →Risk reduction
Detect early signs of compromise
Early attack activity often appears as a set of weak signals that do not individually cross an alert threshold.
Security detection · Chief Information Security Officer
Read the use case →Risk reduction
Find threats that individual tools miss
Identity, endpoint, network, email, cloud, application, and data tools each see only part of a multi-stage attack.
Security detection · Chief Information Security Officer
Read the use case →Risk reduction
Detect new and unknown attack behavior
Static rules and known signatures may not detect a new attack technique or an unusual sequence of individually permitted actions.
Security detection · Chief Information Security Officer
Read the use case →Security efficiency
Reconstruct a complete cyber incident
Investigators must manually collect and correlate evidence across many systems to determine how an attacker entered, moved, persisted, and accessed data.
Investigations and forensics · Chief Information Security Officer
Read the use case →Risk reduction
Quantify the business impact of a security incident
Technical alerts do not tell executives whether revenue, customers, sensitive data, or critical operations were materially affected.
Investigations and forensics · Chief Information Security Officer
Read the use case →Security efficiency
Recommend the safest security response
Containment decisions can protect the enterprise but also create unnecessary business disruption when the scope of compromise is not understood.
AI-driven decisions · Chief Information Security Officer
Read the use case →Risk reduction
Detect identity compromise and privilege abuse
Valid credentials and approved tools can be misused by external attackers, insiders, or overprivileged users without triggering traditional malware controls.
Security detection · Chief Information Security Officer
Read the use case →Risk reduction
Detect sensitive-data exposure
Sensitive information can be viewed, exported, shared, or exposed through configuration changes without a clear, complete record of the resulting impact.
Investigations and forensics · Chief Information Security Officer
Read the use case →Risk reduction
Monitor cloud and application drift
Production environments drift from approved security baselines as controls, logging, encryption, network restrictions, and deployment practices change.
Compliance and audit history · Chief Information Security Officer
Read the use case →Security efficiency
Reduce security false positives
Analysts spend significant time reviewing alerts that lack the user, asset, change, threat, and business context required to determine whether they are dangerous.
AI-driven decisions · Chief Information Security Officer
Read the use case →Security efficiency
Automate repetitive investigation work
Analysts repeatedly gather the same identity, device, threat, asset, and timeline evidence before they can make an initial decision.
Investigations and forensics · Chief Information Security Officer
Read the use case →Security efficiency
Continuously improve detections
Detection rules become noisy, incomplete, or outdated as threats, infrastructure, and normal business behavior change.
Security detection · Chief Information Security Officer
Read the use case →Technology optimization
Identify security controls that are not being used effectively
Enterprises may own advanced security capabilities that are disabled, incompletely deployed, or duplicated across multiple tools.
AI-driven decisions · Chief Information Security Officer
Read the use case →Risk reduction
Prioritize security spending by risk reduction
Security investments are often prioritized by vendor pressure, isolated technical findings, or perceived urgency rather than measurable reduction of business risk.
AI-driven decisions · Chief Information Security Officer
Read the use case →Risk reduction
Generate audit and compliance evidence automatically
Audit evidence is fragmented across access systems, applications, approvals, security controls, configuration histories, and incident records.
Compliance and audit history · Chief Information Security Officer
Read the use case →Risk reduction
Detect when security and compliance controls stop working
A control can pass an annual audit but later fail because logging, agents, approvals, access reviews, certificates, backups, or recovery processes stop operating correctly.
Compliance and audit history · Chief Information Security Officer
Read the use case →AI governance
Govern what AI agents access and do
As AI agents access enterprise data and take actions, the organization needs a complete record of what each agent saw, decided, approved, and changed.
Compliance and audit history · Chief Information Security Officer / Chief Information Officer
Read the use case →See your own scenario on your telemetry.
Walk through the use cases that matter to your team, grounded in the record Bloo would build from your environment.