How Enterprise Healthcare SLAs Should Measure Uptime, Resolution, Escalation, Vendor Accountability, and Business Impact

A managed services provider can report 99.9% uptime while clinicians cannot retrieve laboratory results, interfaces stop delivering orders, revenue cycle teams cannot submit claims, or EHR response times make patient care impractical.

The SLA remains green. The healthcare operation does not. This disconnect occurs when service agreements measure infrastructure availability instead of workflow usability, ticket acknowledgment instead of service restoration, and vendor activity instead of business outcomes.

An enterprise healthcare IT SLA must answer a more important question:

Can the organization continue delivering safe, timely, compliant, and financially sustainable care when a technology service degrades or fails?

This guide explains the healthcare IT SLA metrics that integrated delivery networks, health systems, large provider groups, and other enterprise healthcare organizations should use to govern uptime, incident resolution, escalation, vendor accountability, and business impact.

What Is an Enterprise Healthcare IT SLA?

A healthcare IT service-level agreement is a contractual framework that defines which technology services a vendor will provide, how performance will be measured, how incidents will be managed, and what consequences apply when agreed commitments are not met.

A mature SLA works with three related concepts:

• A service-level indicator, or SLI, is the measurement itself. Examples include successful EHR logins, order-interface delivery time, application response time, or time to restore a failed service.
• A service-level objective, or SLO, is the target applied to that measurement. An example is completing 99.95% of eligible clinical transactions successfully during a calendar month.
• A service-level agreement, or SLA, makes selected commitments contractual and defines the consequences of meeting or missing them.

Google’s Site Reliability Engineering guidance defines an SLI as a quantitative service measure, an SLO as the target applied to it, and an SLA as an agreement containing consequences when service objectives are missed. 

It also recommends selecting indicators that represent what users actually experience rather than collecting every available technical metric. A healthcare IT SLA does not replace:

• The master services agreement
• The statement of work
• A business associate agreement
• Internal operational-level agreements
• The cybersecurity incident-response plan
• The disaster recovery and business continuity plans
• Clinical downtime procedures
• Vendor risk-management policies

These documents serve different purposes. The SLA turns selected operational expectations into observable, time-bound, reportable, and enforceable commitments.

Why Conventional IT SLAs Fail in Healthcare

Most standard IT SLAs focus on a familiar set of measures:

• Application uptime
• First-response time
• Average resolution time
• Ticket volume
• Customer satisfaction
• Service credits

These measures can support service management, but they do not prove that a clinical or business workflow remained usable.

A laboratory interface can fail while the EHR application remains online. A patient portal can load while appointment scheduling is unavailable. A database server can pass a health check while users wait long enough for every order, result review, or medication workflow to become operationally unsafe.

The ASTP/ONC SAFER Contingency Planning Guide recognizes functional downtime caused by unacceptably slow response times. It recommends proactive monitoring of system performance and comprehensive testing, monitoring, and auditing to detect and manage EHR downtime. 

The guide is patient-safety guidance, not a federal contractual standard, and healthcare organizations must establish local thresholds based on their systems, users, and operational risks.

The correct design principle is therefore:

Measure whether the service supported care delivery, not merely whether the technology returned a successful monitoring response.

How to Build an Enterprise Healthcare IT SLA That Measures Real Service Risk 

1. Define the Service Boundary Before Setting SLA Targets

An SLA becomes difficult to enforce when the parties have not agreed on what constitutes the service.

Each managed service should have a documented boundary identifying:

• Applications, databases, cloud resources, networks, interfaces, endpoints, and supporting tools
• Production, disaster recovery, test, training, and other environments
• Covered facilities, departments, user populations, and service hours
• Monitoring, maintenance, backup, support, security, and change-management responsibilities
• Customer-managed components
• Subcontractors and downstream service providers
• Dependencies outside the provider’s direct technical control
• Data sources used to calculate performance
• Permitted exclusions and assumptions
• Ownership of incident and service records

Consider an EHR managed service. The clinical workflow may depend on identity management, network connectivity, domain name services, cloud infrastructure, an interface engine, laboratory systems, radiology systems, e-prescribing services, clearinghouses, and external APIs.

The EHR vendor may claim that its application remained available when one of those dependencies failed. That statement may be technically accurate at the component level but irrelevant to the clinician who could not complete the workflow.

The agreement should therefore establish two connected views:

• Component-level accountability identifies the technical layer that failed and the party responsible for correcting it.
• End-to-end service accountability measures whether the supported user or business process remained operational.

In a multi-vendor environment, the healthcare organization should also establish a service integration owner. That function maintains dependency maps, coordinates incident bridges, tracks cross-vendor actions, and prevents vendors from transferring an unresolved incident between queues.

2. Measure Uptime as Workflow Availability

Define the Calculation Precisely

A basic availability formula is:

Availability percentage = Eligible service time minus unavailable service time ÷ eligible service time × 100

That formula is useful only when every term is defined. A defensible healthcare IT SLA should specify:

• The measurement period
• The service calendar and applicable time zone
• What starts and ends an outage
• The monitoring location
• The measurement frequency
• The transaction used to test availability
• The success and failure criteria
• How degraded or partially available services are treated
• How planned maintenance is handled
• Which exclusions are permitted
• Who controls the source data
• How disputed calculations will be resolved

Without these definitions, the healthcare organization and vendor can calculate different results from the same incident.

Understand What an Availability Percentage Permits

For a 30-day month, excluding no planned downtime:

Availability Commitment	Maximum Unavailability
99.9%	43 minutes, 12 seconds
99.95%	21 minutes, 36 seconds
99.99%	4 minutes, 19 seconds
99.999%	Approximately 26 seconds

Google’s availability model shows that the permitted outage window changes significantly with each additional nine and with the chosen measurement period.

An annual target can also conceal a severe monthly failure. A vendor may offset one poor month with stronger performance during the rest of the year.

Critical healthcare services may therefore require a combination of:

• Monthly availability targets
• Maximum consecutive outage duration
• Maximum number of material incidents
• Workflow-specific availability
• Business-hours and after-hours reporting
• Limits on error-budget consumption
• Separate disaster recovery objectives

The percentage should follow service criticality and business-impact analysis. There is no universal federal requirement that every healthcare application maintain the same uptime percentage.

Use a Layered Availability Model

Enterprise healthcare organizations should not depend on a single uptime metric.

Infrastructure availability measures the underlying compute, storage, network, database, and cloud resources. It supports technical diagnosis but does not establish that the user-facing service worked.

Application availability measures whether users can access the application and execute selected functions. Monitoring should test representative transactions rather than relying only on server reachability or a successful login page. Clinical workflow availability measures whether the user can complete an end-to-end process. Depending on the service, this can include:

• Patient registration
• Medication reconciliation
• Order entry
• Results review
• Electronic prescribing
• Clinical documentation
• Referral processing
• Discharge
• Charge capture
• Claims submission

Interface and data-exchange availability measures whether information moves between systems correctly and within the required timeframe. Useful indicators include:

• Successful HL7 acknowledgment rate
• Interface queue depth
• Age of the oldest unprocessed message
• FHIR API transaction success
• Delivery latency
• Duplicate-message rate
• Mapping and transformation failures
• Reconciliation backlog

The SAFER guide specifically recommends procedures for stopping and restarting data exchange across interfaces after downtime. Improper recovery can leave messages delayed, duplicated, lost, or inconsistent even after the applications appear available. Performance availability measures whether the service is fast enough to use. Suitable indicators may include:

• 95th-percentile response time
• 99th-percentile response time
• Transaction completion time
• Timeout rate
• Error rate
• Concurrent-user performance

Percentiles are usually more informative than averages. An acceptable average can hide a long tail of clinicians experiencing severe delays. Google’s SRE guidance similarly warns that average latency may conceal a smaller group of requests that perform much worse.

Data availability and freshness apply to analytics, registries, population health platforms, operational dashboards, and data warehouses. A dashboard can load successfully but remain functionally unavailable if its data is incomplete or stale. Relevant measures include:

• Data delivered by the agreed deadline
• Source-to-target record reconciliation
• Dataset completeness
• Data freshness
• Failed-record percentage
• Duplicate rate
• Schema and mapping errors
• Late-arriving data
• Correction turnaround time

Control Maintenance and Exclusions

Planned maintenance should not become an unrestricted method for removing outages from the calculation. The contract should define:

• Approved maintenance windows
• Required notice
• Maximum frequency and duration
• Emergency-maintenance rules
• Clinical blackout periods
• Customer approval requirements
• Rollback expectations
• Whether degraded service counts as downtime
• Whether failed maintenance remains excluded
• How canceled or extended maintenance is reported

Exclusions should be narrow, documented, and agreed before the reporting period closes. Vendors should not be able to create a new exclusion after an incident solely to protect their SLA result.

Link Availability to RTO and RPO

Availability and disaster recovery are related, but they measure different conditions.

NIST defines the recovery time objective, or RTO, as the maximum time system components can remain in recovery before they negatively affect the organization’s mission or business processes. NIST defines the recovery point objective, or RPO, as the point in time to which data must be recovered after an outage.

The SLA should establish service-specific requirements for:

• RTO
• RPO
• Backup completion
• Backup failure remediation
• Restore-test frequency
• Restore-test success
• Failover activation
• Data-integrity verification
• Interface reconciliation
• Return from recovery operations
• Unresolved data loss

The current HIPAA Security Rule requires regulated entities to protect the confidentiality, integrity, and availability of ePHI and to select reasonable and appropriate safeguards based on their size, capabilities, infrastructure, costs, and risks. It does not prescribe one universal RTO or RPO for every healthcare organization. A backup-success report is not sufficient evidence of recoverability. Restore processes and restored data must be tested and validated.

3. Separate Response, Restoration, and Resolution

One of the most common problems in IT vendor SLA management is using “resolution time” to describe several different events. These events should have separate definitions and clocks:

Metric	Required Measurement
Time to detect	Impact begins to monitoring or user detection
Time to acknowledge	Detection or ticket creation to confirmed ownership
Time to respond	Acknowledgment to substantive technical action
Time to engage	Time required to involve the correct resolver group
Time to communicate	Time until the first meaningful stakeholder update
Time to workaround	Time until an accepted temporary operating method is available
Time to restore	Time until the affected service becomes usable
Time to resolve	Time until the permanent correction is implemented and validated
Time to close	Time until documentation and customer acceptance are complete
Time to post-incident analysis	Time until the required analysis is delivered
Time to corrective action	Time until preventive actions are completed and validated

Atlassian and Freshworks distinguish response and resolution targets in standard ITSM practice, but enterprise healthcare agreements should go further by separating service restoration, permanent correction, communication, and closure.

An automated acknowledgment does not demonstrate that technical work has started. 

A ticket status of “resolved” does not prove that the user can complete the workflow. A workaround should count only when it is:

• Operationally usable
• Clinically acceptable
• Documented
• Communicated to affected users
• Approved by the designated customer authority
• Capable of supporting later data reconciliation
• Consistent with privacy and security requirements

Govern SLA Clock Pauses

A provider may need to pause a clock while awaiting customer access, information, testing, or approval. Uncontrolled pauses, however, can make the commitment meaningless.

The agreement should identify:

• Permitted pause reasons
• Evidence required for each pause
• Who can approve it
• Which clocks may be paused
• Which clocks continue running
• Required customer notification
• Dependency ownership
• Conditions that restart the clock
• How pause time appears in monthly reports

A vendor should not automatically pause a customer-facing restoration commitment because it is waiting for its own subcontractor or platform provider.

4. Build Incident Severity Around Healthcare Impact

Ticket count alone should not determine severity. A single failed function can justify the highest priority when it poses a credible patient-safety, security, or enterprise operational risk.

Severity assessment should consider:

• Actual or potential patient-safety impact
• Criticality of the affected workflow
• Number of facilities, departments, or users affected
• Availability and safety of a workaround
• ePHI confidentiality, integrity, or availability
• Cybersecurity and privacy exposure
• Revenue cycle and financial impact
• Duration and expected escalation
• Patient-facing or public impact
• Regulatory and contractual obligations

An illustrative model is:

Priority	Healthcare Impact Definition
P1 Critical	Actual or credible patient-safety risk, widespread loss of a critical workflow, material cybersecurity incident, major ePHI impact, no safe workaround, or enterprise-wide disruption
P2 High	Significant service degradation or unavailable core function affecting a facility, department, or large user group, with a limited or costly workaround
P3 Medium	Limited operational impact involving a noncritical function, with a stable workaround available
P4 Low	Minor defect, routine request, cosmetic issue, or enhancement with no immediate clinical or material business impact

The SLA should permit designated healthcare leaders to raise the severity when local operational context supports the decision. A vendor should need documented evidence and customer agreement before reducing a critical incident’s priority.

Security, privacy, patient-safety, and business continuity teams should also have direct escalation paths. Their involvement should not depend entirely on the service desk’s ticket classification.

5. Turn Escalation Into a Decision System

An escalation matrix is more than a contact list. Each escalation level should define:

• The triggering condition
• The elapsed time or impact threshold
• The required recipient
• The information that must be provided
• The decision or authority required
• The communication owner
• The update cadence
• The alternate contact
• The record of the escalation
• The condition for de-escalation

Healthcare organizations commonly need coordinated escalation routes for:

• Technical service disruption
• Patient-safety risk
• Cybersecurity incidents
• Privacy and breach assessment
• Clinical operations
• Business continuity
• Vendor and subcontractor dependency failures
• Contractual disputes
• Executive crisis management

A major incident record should maintain a single authoritative timeline covering the affected workflows, locations, users, current impact, workarounds, unresolved risks, vendors engaged, actions completed, current owners, next decisions, and next communication time.

NIST SP 800-61 Revision 3 treats incident response as part of enterprise cybersecurity risk management. It notes that asset owners and business process owners can inform recovery priorities and that responsibilities assigned to MSSPs, cloud providers, and other service providers should be clearly defined in contracts, including information flow, coordination, and authority.

6. Establish Enforceable Vendor Accountability

Align the SLA With the BAA

When a vendor creates, receives, maintains, or transmits PHI on behalf of a covered entity or another business associate, the relationship may require a business associate agreement.

HHS states that a BAA must establish permitted and required uses and disclosures, require appropriate safeguards, address reporting obligations, impose applicable requirements on subcontractors, and authorize termination for a material contractual violation. Business associates also have direct liability for certain HIPAA requirements.

The BAA and SLA should therefore have distinct but coordinated roles. The BAA documents the parties’ PHI-related obligations. The SLA can add measurable operational commitments, including:

• Initial security-incident notification
• Escalation to privacy and security leaders
• Evidence preservation
• Investigation cooperation
• Status update cadence
• Restoration priorities
• Subcontractor coordination
• Preliminary incident reporting
• Final incident reporting

The SLA does not replace the BAA or either party’s direct HIPAA obligations.

Separate a Security Incident From a Confirmed Breach

The HIPAA Breach Notification Rule applies following a breach of unsecured PHI. A business associate must notify the covered entity when a breach occurs at or by the business associate.

A managed-services contract should distinguish among:

1. A suspected cybersecurity event
2. A confirmed security incident
3. An impermissible use or disclosure requiring assessment
4. A confirmed breach of unsecured PHI

The HIPAA breach-notification timeframe should not be used as the operational target for reporting every suspected event. The SLA should establish much faster initial notification and escalation periods so the organization can begin containment, investigation, continuity actions, and legal or privacy review.

HHS’s sample BAA language expressly notes that the parties may add a stricter timeframe for a business associate to report a potential breach.

2026 HIPAA Security Rule Status

HHS has proposed substantial changes intended to strengthen the HIPAA Security Rule. 

However, as of July 2026, the proposal has not replaced the current rule, and HHS states that the current Security Rule remains in effect.

Healthcare organizations should comply with current requirements while monitoring the rulemaking and avoiding contractual language that incorrectly presents proposed requirements as current law.

Control the Vendor Chain

A healthcare service may rely on cloud providers, telecommunications carriers, software companies, data processors, interface vendors, and other subcontractors.

The agreement should distinguish:

• Cause ownership: Which component or control failed?
• Remediation responsibility: Who must repair or correct it?
• Coordination ownership: Who drives the cross-vendor response?
• Commercial accountability: Which party remains answerable to the healthcare organization?

NIST CSF 2.0 recommends defining supplier roles, integrating cybersecurity requirements into contracts, monitoring supplier risk throughout the relationship, involving relevant suppliers in incident response and recovery, and planning for obligations after the service relationship ends.

The prime provider’s responsibility for end-to-end coordination should be stated explicitly. It should not be assumed merely because the vendor is the primary commercial contact.

Require Verifiable Evidence

Monthly reports should not depend solely on vendor-prepared summaries. The agreement should establish access to appropriate evidence, including:

• Monitoring records
• Synthetic transaction results
• ITSM timestamps
• Alert histories
• Application and infrastructure logs
• Interface records
• Incident bridge notes
• Change records
• Vendor escalation records
• Excluded-time calculations
• Customer acceptance timestamps
• Corrected-report history

The parties should also agree on:

• The authoritative time source
• Time zone
• Monitoring points
• Ticketing system of record
• Calculation method
• Data-retention period
• Correction procedure
• Dispute process

Require Defensible Post-Incident Analysis

Not every complex failure has one simple root cause.

The contract should require a post-incident analysis that documents:

• The confirmed cause, where determinable
• Contributing factors
• Failed or missing controls
• Detection gaps
• Response and recovery weaknesses
• Impacted dependencies
• Corrective and preventive actions
• Responsible owners
• Due dates
• Validation evidence

A provider should not satisfy the requirement with an unsupported root-cause statement or close the corrective action before its effectiveness is verified.

Go Beyond Service Credits

Service credits may provide financial recognition of a missed commitment, but they do not restore clinical capacity or prevent recurrence.

Depending on the negotiated contract, accountability mechanisms may include:

• Automatic service credits
• Corrective action plans
• Increased reporting frequency
• Executive performance reviews
• Mandatory problem-management activity
• Independent technical assessments
• Recovery or resilience testing
• Fee holdbacks
• Transition assistance
• Step-in rights
• Termination rights for repeated or material failures
• Data return and secure destruction requirements

These are contractual options, not automatic legal entitlements. Legal, procurement, privacy, security, clinical, and operational stakeholders should review the final agreement.

7. Connect Technical Performance to Business Impact

A meaningful healthcare IT SLA should report both what happened to the technology and what the failure did to the organization.

Clinical Impact

Track:

• Clinical workflows unavailable
• Patients affected
• Orders delayed
• Results inaccessible
• Medication processes disrupted
• Procedures delayed or rescheduled
• Time spent in downtime workflows
• Safety events or near misses requiring review

The SAFER guidance identifies EHR unavailability as a patient-safety concern and associates it with risks such as medication errors, unavailable images, delayed test follow-up, and canceled procedures.

Operational Impact

Track:

• Facilities and departments affected
• Staff unable to work normally
• Manual transactions created
• Interface backlog
• Contact-center disruption
• Recovery and reconciliation hours
• Overtime or redeployment
• Tickets reopened
• Repeated incidents
• Backlog aging

Financial Impact

Where reliable data exists, measure:

• Visits, procedures, or admissions delayed
• Claims submission delays
• Cash posting delays
• Staff overtime
• External recovery expense
• Lost productivity
• Service credits
• Deferred or lost revenue

Not every patient-safety, compliance, privacy, or reputational effect should be reduced to a dollar value. Report those outcomes separately when financial estimation would be unreliable or misleading.

Compliance and Cybersecurity Impact

Track:

• ePHI affected
• Security controls unavailable or bypassed
• Audit evidence unavailable
• Incident notification performance
• Vulnerability remediation delays
• Unpatched critical exposure
• Recovery from an untrusted state
• Open corrective actions
• Backup and restoration integrity

HHS’s healthcare-specific Cybersecurity Performance Goals are voluntary priorities intended to help healthcare organizations implement high-impact cybersecurity practices. 

They include incident planning, vendor and supplier cybersecurity requirements, and other foundational safeguards, but they do not replace the HIPAA risk analysis or organization-specific contractual requirements.

Patient and Workforce Impact

Track:

• Portal disruption
• Contact-center delays
• Patient complaints
• Abandoned calls
• Staff workaround burden
• Documentation backlog
• User confidence after restoration
• Training or support required

This is where an infrastructure incident becomes an enterprise operating issue.

8. Use a Balanced Vendor Governance Scorecard

A monthly report stating that “97% of tickets met SLA” does not provide enough information for healthcare IT vendor management. It can conceal:

• A single severe enterprise outage
• Recurring low-volume failures
• Excessive clock pauses
• Premature closure
• Long-running outliers
• Declining performance
• Unsafe workarounds
• Excluded incidents
• Open corrective actions

A stronger scorecard combines multiple SLA metrics for IT vendors:

Category	Measures
Availability	Workflow availability, transaction success, performance percentiles, downtime duration
Incident management	Detection, acknowledgment, engagement, communication, workaround, restoration, resolution
Service quality	Reopen rate, recurrence, backlog age, failed changes, rollback rate
Escalation	On-time escalation, missed updates, decision delays, executive engagement
Security	Incident notification, vulnerability remediation, control exceptions, evidence delivery
Resilience	Backup completion, restore tests, RTO and RPO results, downtime exercise findings
Vendor chain	Dependency delays, subcontractor performance, cross-vendor coordination
Business impact	Clinical disruption, staff hours, delayed claims, patients and facilities affected

Review Performance at Three Levels

Operational reviews should address active critical incidents, at-risk clocks, blocked work, dependency failures, queue age, upcoming changes, and immediate decisions.

Monthly service reviews should address SLA performance, breaches, near misses, recurrence, exclusions, data quality, post-incident analyses, corrective actions, and business impact.

Executive governance reviews should address material service risk, repeated failures, security posture, resilience investment, vendor capacity, contract changes, commercial remedies, renewal, remediation, and exit readiness.

Healthcare IT Vendor SLA Evaluation Checklist

Before signing or renewing a managed services agreement, ask:

1. Which clinical, operational, and financial workflows are covered?
2. How does the agreement define functional downtime?
3. Which systems and dependencies are inside the service boundary?
4. Who owns end-to-end monitoring?
5. What data source controls the calculation?
6. How are partial failures and degraded performance counted?
7. What starts and stops each incident clock?
8. When can a vendor pause a clock?
9. Who validates restoration?
10. How are patient-safety, cybersecurity, and privacy concerns escalated?
11. Who coordinates subcontractors and downstream vendors?
12. What evidence must accompany a post-incident analysis?
13. What happens after repeated SLA breaches?
14. How are recovery capabilities tested?
15. How will data, access, documentation, and open incidents be transferred at contract exit?

Build the SLA Around Care Delivery

A healthcare IT SLA should not reward a provider for answering a ticket while clinicians, patients, interfaces, or revenue cycle teams remain affected.

The agreement should measure whether critical services are usable, whether recovery occurs within acceptable limits, whether the right leaders are engaged, whether vendors coordinate their dependencies, and whether failures result in verified corrective action.

CapMinds helps enterprise healthcare organizations strengthen managed services governance across cloud infrastructure, cybersecurity, interoperability, EHR environments, enterprise applications, IT operations, and multi-vendor support.

Our teams can help you:

• Map critical services and technical dependencies
• Define SLIs, SLOs, and contractual SLA metrics
• Build incident severity and escalation models
• Align ITSM workflows with clinical operations
• Establish vendor scorecards and governance dashboards
• Review backup, recovery, and downtime readiness
• Improve incident, problem, change, and service-management processes

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Frequently Asked Questions

What are the most important healthcare IT SLA metrics?

The core measures include clinical workflow availability, application and interface availability, performance percentiles, time to detect, time to acknowledge, time to restore, time to resolve, escalation compliance, recurrence rate, RTO and RPO achievement, security-incident notification, corrective action completion, and documented business impact.

What uptime percentage should a healthcare organization require?

There is no universal percentage for every healthcare system. The target should reflect service criticality, operating hours, architecture, business-impact analysis, safe workaround availability, recovery capability, and potential patient-safety consequences. Critical clinical workflows may require tighter commitments than nonproduction systems or lower-impact administrative functions.

What is the difference between response time and restoration time?

Response time measures how quickly the vendor accepts ownership and begins substantive work. Restoration time measures how long it takes to return the affected service to usable operation. Permanent resolution may occur later, after the provider identifies and validates the underlying correction.

Should cybersecurity incidents use the normal service desk SLA?

Not by themselves. Cybersecurity events need dedicated notification, containment, evidence-preservation, privacy, legal, business continuity, and executive escalation paths. A security incident can be critical even when the application remains available. The operational SLA should coordinate with the incident-response plan and BAA.

Can a vendor exclude planned maintenance from uptime?

Planned maintenance may be excluded when the contract clearly defines the permitted window, notice, duration, approval process, blackout periods, and treatment of failed or extended maintenance. The vendor should not be able to create or reinterpret exclusions after an outage has occurred.

Are service credits enough to enforce an SLA?

Usually not. Credits may offset part of the service fee but do not address recurring technical failure or operational disruption. Stronger governance can include corrective action, executive review, increased reporting, resilience testing, independent assessment, repeated-breach provisions, and transition or termination rights.