For enterprise buyers negotiating Dedicated Enterprise Account Management - V3, require a written service level agreement (SLA) that specifies Brilo AI response time windows, mapped incident severity levels, and escalation targets for each severity. The SLA should define what constitutes Severity 1–4 incidents, expected acknowledgement and triage windows, and how Brilo AI will route incidents to the dedicated account team or engineering. Also require clear handoff triggers for human escalation and measurable incident reporting (uptime, incident logs, and MTTR). These commitments can be scoped in a statement of work or appendix to your master support agreement.

How soon will my issue be acknowledged? — Typically within the SLA acknowledgement window you negotiate; require written times for each severity.

What are the severity levels? — Define Severity 1–4 in the agreement with examples and targeted response and resolution steps.

How does Brilo AI escalate? — Require documented escalation paths to a dedicated account manager and engineering on-call.

Enterprise buyers ask about response times and severity commitments because AI voice agent incidents can directly affect customer experience, regulatory risk, and operational continuity. Buyers need predictable windows for acknowledgement, triage, and escalation so they can plan staffing, communications, and backup routing. Dedicated Enterprise Account Management - V3 buyers want contractual clarity so that SLAs align with peak call volumes, concurrency, and downstream systems (CRM, telephony) that Brilo AI integrates with.

Brilo AI supports formal SLA commitments by documenting incident definitions and response expectations in the account’s support agreement or statement of work. In practice, an SLA for Dedicated Enterprise Account Management - V3 typically lists:

In Brilo AI, service level agreement (SLA) is the written commitment that maps severity to acknowledgement and escalation targets. For configuration details and uptime context, see the Brilo AI system uptime and reliability article: Brilo AI system uptime and reliability article.

Brilo AI’s support agreement should include guardrails that limit scope, avoid unrealistic guarantees, and define operational boundaries. Typical guardrails:

Issue severity is the classification used to prioritize incidents and determine the SLA path; the agreement must include concrete examples for each level. In Brilo AI, mean time to recovery (MTTR) is the metric used for measuring typical repair timeframes and should be reported in post-incident summaries.

Healthcare: A hospital contact center using Brilo AI experiences a failure where clinical call routing drops to voicemail during business hours. Define this as a Severity 1 (critical) in the Dedicated Enterprise Account Management - V3 agreement so Brilo AI must acknowledge immediately and begin an emergency escalation to network and engineering with priority routing to a human operator.

Banking (retail bank): If a Brilo AI voice agent misroutes loan-application calls to an incorrect queue during a high-volume window, classify it as Severity 2 (major) and require Brilo AI to provide a mitigation plan within the agreed triage window and a timeline for full resolution.

Insurance: For an insurer using Brilo AI for claims intake, intermittent transcript failures that impede verification should have a clear Severity 3 definition with required daily updates until resolved, and documented handoff steps to human agents when transcript quality falls below agreed thresholds.

Brilo AI voice agent workflows can be configured to hand off to live agents, a designated account operations team, or alternate IVR routing when an incident or escalation trigger occurs. Buyers should require:

When enabled, Brilo AI can route calls to your fallback queue or invoke a webhook to your contact center for immediate human takeover. The support agreement should define responsibilities for testing and validating those handoffs.

Refer to the Brilo AI system uptime and reliability article for supporting uptime and reporting expectations: Brilo AI system uptime and reliability article.

When Brilo AI response time and severity commitments are clearly defined, buyers gain predictable incident behavior, faster time-to-triage for critical failures, and documented escalation paths that reduce customer-facing disruption. Realistic SLAs enable better capacity planning, clearer responsibility boundaries between Brilo AI and your infrastructure teams, and measurable incident reporting that supports compliance and audit readiness.

What should a Severity 1 incident include?

A Severity 1 incident is typically a production outage or functional failure causing total loss of core Brilo AI voice agent capabilities for critical business flows. The SLA should require immediate acknowledgement and escalation to on-call engineering plus frequent status updates.

Can Brilo AI guarantee resolution times for third-party telephony outages?

Brilo AI can document response and investigation times, but resolution of third-party telephony or customer-owned network failures is outside Brilo AI’s direct control unless specifically managed by Brilo AI under the agreement. The SLA should explicitly state what is in-scope versus out-of-scope.

How are updates and post-incident reports delivered?

Require the support agreement to specify the cadence and format of updates (eg, live incident channel, emailed post-incident report) and the required artifacts (logs, call IDs, timeline, root cause analysis).

Do I need a separate support addendum for peak events?

Yes—buyers commonly add event-specific commitments (extended staffing, priority routing, or advance capacity testing) to the Dedicated Enterprise Account Management - V3 statement of work to cover peak campaigns or regulatory filing deadlines.

How do I test the SLA before go-live?

Include a small acceptance test plan in the setup steps (see Setup Requirements) where Brilo AI and your team run representative calls, capture logs, and validate escalation paths and reporting.