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What is the system uptime and reliability?

A
Written by Axel May Rivera
Updated over a week ago

Direct Answer (TL;DR)

What is the system uptime and reliability? Brilo AI’s platform target is generally 99.9% availability (uptime), with monitoring, redundancy, and incident reporting to support reliable AI business phone call system handling. For contract-level service commitments (service-level agreement), historical uptime data, capacity limits, or formal support response times, contact your Brilo AI account manager or Support to request an SLA, incident reports, and a capacity review.

Why This Question Comes Up

Platform administrators, technical leads, and procurement teams need to confirm whether AI voice agent deployments will meet operational requirements for inbound call solutions. Stakeholders ask about availability, scheduled maintenance, and how the platform behaves under peak concurrency because downtime or degraded performance directly affects customer experience and campaign outcomes.

How It Works (High-Level)

System uptime is measured as the percentage of time the platform is reachable and able to handle calls (uptime). Brilo AI monitors voice infrastructure with automated health checks, telemetry, and alerting to detect failures and trigger incident response.

Reliability is delivered through multiple mechanisms: redundancy across availability zones or regions (redundancy), automatic failover for services, and scaling to handle concurrent calls (concurrency). The platform produces incident reports and aggregates metrics such as mean time to repair (MTTR) to track operational performance over time.

Guardrails & Boundaries

Brilo AI uptime targets reflect platform-level availability and dependence on the underlying cloud provider (availability). Customer contracts or statements of work override general targets—if a contract includes a formal SLA (service-level agreement), that SLA governs remedies and response obligations.

Brilo AI does not assume responsibility for external factors beyond platform control, such as customer network outages, carrier/SIP trunk failures, or customer-side firewall misconfiguration. For voice routes using PSTN or third-party carriers, customers must validate carrier uptime and connectivity.

Applied Examples

  • A contact center needs guaranteed morning coverage: request a customer-specific SLA and a capacity review to confirm concurrency and bandwidth for peak calls.

  • A campaign observes intermittent call drops: collect call IDs and timestamps and request an incident report so Support can correlate platform telemetry with reported failures.

  • A compliance team requires historical availability: request historical uptime metrics and incident reports for a defined date range.

Human Handoff & Escalation

For operational incidents, open a Support ticket and include time of incident (UTC), sample call IDs, and logs. Brilo AI escalates severe platform problems to engineering and provides incident reports once the event is resolved.

Operationally indicated response behavior shows most tickets addressed within a business day and urgent patches delivered in hours; however, contractual support response times vary. If guaranteed response windows are required, request a documented support SLA from your account manager.

Setup Requirements

To obtain formal SLA terms, historical uptime, or a capacity review, provide:

  • Your Brilo AI account owner or admin contact information

  • Contract or statement of work (if in place)

  • Date ranges and sample call IDs or logs for historical incident requests

  • Expected peak calls per minute and concurrency numbers for capacity planning

  • Network and SIP/PSTN configuration details for troubleshooting

Run a small representative test of AI business phone call handling and capture system logs before escalation.

Business Outcomes

Confirming system uptime and reliability enables predictable AI voice agent call handling features and reduces operational risk. Outcomes include:

  • Fewer missed or dropped calls during campaigns

  • Predictable capacity planning for high-concurrency events

  • Faster incident resolution supported by incident reports and MTTR tracking

  • Clear contractual remedies and response expectations when an SLA is in place

Next Step

To confirm the exact uptime target, request historical availability data, or start a capacity review, contact Brilo AI Support or your account manager. Ask specifically for the customer-specific SLA (service-level agreement), incident reports for your date range. To guide you on peak provisioning for your AI business phone system, book a call with us today!

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