Service Level Agreement

Platform Availability, Performance, and Support Commitments

Last Updated: May 19, 2026

Policy Owner: AI Bizlutions, LLC
Contact: support@aibizlutions.com

1. Overview

This Service Level Agreement ("SLA") defines the availability commitments, performance targets, support response times, and customer remedies for the AI Bizlutions platform. This SLA applies to all customers on paid plans (Professional, Agency, Enterprise).

Sandbox and free-trial accounts are not covered by this SLA.


2. Service Availability

2.1 Uptime Commitment

AI Bizlutions commits to 99.9% monthly uptime for the core platform services, measured as:

Monthly Uptime % = ((Total Minutes in Month - Downtime Minutes) / Total Minutes in Month) x 100

2.2 Core Platform Services

The following services are covered by the 99.9% uptime SLA:

2.3 Excluded from Uptime Calculation

The following are NOT counted as downtime:


3. Performance Targets

Metric Target Measurement
API response time (p95) < 3 seconds Measured at API Gateway
API response time (p50) < 500ms Measured at API Gateway
Frontend load time < 3 seconds Time to interactive (CloudFront edge)
Email delivery < 60 seconds Time from API call to SES acceptance
Scheduled jobs Within 5 minutes of schedule EventBridge trigger to Lambda execution

Performance targets are best-effort goals, not SLA commitments with remedies.


4. Support Response Times

Priority Description First Response Resolution Target
Critical (P1) Platform completely unavailable 1 hour 4 hours
High (P2) Major feature unavailable, no workaround 4 hours 24 hours
Medium (P3) Feature degraded, workaround available 8 business hours 72 hours
Low (P4) Minor issue, cosmetic, feature request 24 business hours Best effort

Business hours: Monday-Friday, 9:00 AM - 6:00 PM Eastern Time (US), excluding federal holidays.

Critical and High priority issues are monitored 24/7.


5. Service Credits

5.1 Credit Schedule

If monthly uptime falls below the 99.9% commitment, affected customers are eligible for service credits:

Monthly Uptime Service Credit (% of monthly fee)
99.0% - 99.9% 10%
95.0% - 99.0% 25%
90.0% - 95.0% 50%
Below 90.0% 100%

5.2 Credit Request Process

  1. Customer must request credits within 30 days of the incident
  2. Request submitted via support ticket with incident date/time
  3. AI Bizlutions will verify downtime against internal monitoring
  4. Approved credits applied to the next billing cycle
  5. Credits do not exceed 100% of the monthly fee for the affected month
  6. Credits are the sole and exclusive remedy for SLA failures

5.3 Credit Exclusions

Service credits do not apply when downtime results from:


6. Incident Communication

6.1 Notification Timelines

Event Notification
Unplanned outage detected Within 30 minutes via status page
Outage ongoing > 1 hour Email to affected customers
Outage resolved Resolution notice within 1 hour of recovery
Post-incident report Within 5 business days of resolution
Scheduled maintenance 72 hours advance notice via email

6.2 Communication Channels


7. Data Durability and Backup

Component Durability Backup Method RPO
DynamoDB tables 99.999999999% (11 nines) Point-in-Time Recovery (PITR) Near-zero (continuous)
S3 objects 99.999999999% (11 nines) Versioning enabled Near-zero (versioned)
Application code N/A Git version control Zero (immutable deploys)

Recovery Time Objective (RTO): 15-30 minutes for full service restoration from backup.


8. Security SLA


9. Plan-Specific Commitments

Feature Professional Agency Enterprise
Uptime SLA 99.9% 99.9% 99.9%
Support hours Business hours Business hours 24/7
First response (P1) 1 hour 1 hour 30 minutes
Dedicated account manager No No Yes
Custom SLA terms No No Negotiable
Status page access Yes Yes Yes

10. SLA Monitoring and Reporting

AI Bizlutions monitors service availability using:

Monthly availability reports are available upon customer request.


11. SLA Modifications

This SLA may be updated with 30 days advance notice. Changes that reduce service commitments require 90 days notice. Customers who do not accept modified terms may terminate without penalty within the notice period.


12. Governing Terms

This SLA is incorporated by reference into the Terms of Service. In the event of conflict between this SLA and the Terms of Service, the Terms of Service shall govern except for uptime percentages and credit amounts specified herein.


13. Business Continuity & Disaster Recovery Plan

This section documents the formal Business Continuity and Disaster Recovery (BC/DR) plan for the AI Bizlutions platform, satisfying SOC 2 A1.2, ISO 22301, and ISO/IEC 27001 Annex A.5.29/A.5.30 requirements.

13.1 Recovery Objectives

Metric Target Mechanism
Recovery Point Objective (RPO) Near-zero (< 1 minute) DynamoDB PITR (continuous), S3 versioning
Recovery Time Objective (RTO) ≤ 30 minutes Infrastructure-as-Code redeploy (Serverless Framework)
Maximum Tolerable Downtime (MTD) 4 hours Aligned with P1 incident resolution target

13.2 Infrastructure Resilience

Component Resilience Strategy Failover
Compute (AWS Lambda) Stateless, multi-AZ by default Automatic (AWS-managed)
Database (DynamoDB) Multi-AZ replication, 11-nine durability Automatic (AWS-managed)
Object Storage (S3) Multi-AZ, versioning, 11-nine durability Automatic (AWS-managed)
API Gateway Multi-AZ, edge-optimized Automatic (AWS-managed)
CDN (CloudFront) Global edge network, origin failover Automatic (AWS-managed)
DNS (Route 53) 100% availability SLA, global anycast Automatic (AWS-managed)
Email (SES) Multi-AZ within region Regional — secondary region via manual config

13.3 Disaster Scenarios & Recovery Procedures

Scenario Impact Recovery Procedure Expected RTO
Single Lambda failure Partial service degradation Automatic retry + redeploy from main branch < 5 minutes
DynamoDB table corruption Data loss for affected table PITR restore to pre-corruption timestamp 15-30 minutes
S3 bucket object deletion Media/document loss Restore from S3 versioning (object-level recovery) 5-15 minutes
Full region outage (us-east-2) Complete service unavailable Cross-region redeploy: (1) Deploy stack to us-east-1 via Serverless Framework, (2) Restore DynamoDB from on-demand backups, (3) Update DNS via Route 53 2-4 hours
Compromised deployment Security breach via malicious code Git revert to last-known-good commit, force redeploy, rotate secrets 15-30 minutes
Third-party API outage (Gemini, Replicate) AI features degraded Model fan-out with fallback candidates, graceful feature degradation Automatic (0 minutes)

13.4 Backup Strategy

13.5 DR Testing Schedule

Test Type Frequency Scope
DynamoDB PITR restore validation Quarterly Restore single table to verify data integrity
Full stack redeploy (staging) Monthly Deploy from clean state to verify IaC completeness
Secret rotation drill Semi-annually Rotate all API keys, verify service continuity
Cross-region failover tabletop Annually Walk through regional failover procedure with team

13.6 Roles and Responsibilities

Role Responsibility
Incident Commander Declares disaster, coordinates recovery, communicates with stakeholders
Platform Engineering Executes recovery procedures, validates service restoration
Security Lead Assesses compromise scope, manages credential rotation
Customer Support Manages customer communication per §6 notification timelines

13.7 Plan Maintenance