Rivac AI LabsTiered Monthly Retainers (Core/Growth/Enterprise)
This is the ongoing support structure sized to how many AI systems and workflows you actually have running, not a one-size package everyone gets pushed into. Core covers a single system with baseline monitoring and support; Growth adds more systems, faster response windows, and proactive tuning; Enterprise covers a full AI portfolio with dedicated capacity and priority handling. Most clients who reach this stage have moved past a single pilot and now carry real production dependencies, and need a support relationship that scales with system count rather than forcing a renegotiation every time they add a workflow. The tier is picked based on your actual footprint and can move up or down as that footprint changes, so you're never paying for support capacity you don't need.
This is a capability we deliver for you as a service, not a role we’re hiring for.
How We’d Approach This
A clear, staged plan, not a black box
These are the service-specific steps inside our six-step process.
- 1
Diagnose your current AI system count, usage volume, and support needs to recommend the right starting tier
- 2
Pilot the recommended tier for one billing cycle against real ticket and monitoring volume to confirm it fits
- 3
Review actual usage against the tier's included hours and response times at each renewal to confirm it still fits
- 4
Adjust the tier up or down as your AI footprint grows or consolidates, with pricing tied transparently to what's covered
What You Get
Deliverables from this engagement
- A documented tier agreement listing exactly what systems, hours, and response times are covered
- Monthly usage tracking against included support hours
- A defined path to upgrade or downgrade tiers as your footprint changes
- Direct access to the monitoring and support systems for whichever tier you're on
Six Ways We Could Architect This
Different engagement, different build, pick the shape that fits
There’s more than one way to deliver on this service. Browse a few of the ways we’d structure the work, depending on your speed, budget, and integration needs.
Read all 6 architectures as text
Lean Fast-Start Architecture
Tier Diagnosis
- Client AI System Count Review
- Usage Volume Assessment
- Recommended Starting Tier
Basic Monitoring
- Single System Health Check
- Basic Ticket Inbox
Support
- Manual Triage
- Issue Resolved or Escalated
Reporting
- Manual Monthly Check In
- Usage Against Tier Reviewed
- Tier Confirmed or Adjusted
- Renewal Discussion
- Next Cycle Started
Cloud-Native / Managed Services Architecture
Managed Monitoring Layer
- Client AI Systems
- Managed Observability Platform
- Managed Alerting Service
Managed Ticketing Layer
- Managed Ticketing SaaS
- Tier Based Routing Rules
Status Layer
- Managed Status Page
- Client Facing Uptime Dashboard
Operations Layer
- Support Hours Tracking Service
- Monthly Usage Report Generator
- Tier Upgrade Downgrade Workflow
- Escalation Contact Directory
- Billing System Sync
Event-Driven & Automation-First Architecture
Triggers
- System Health Check Runs
- Anomaly Detected
- Auto Ticket Created
Automation Layer
- Tiered Severity Classification
- Severity Level
Routing Gate
- Immediate Escalation to On Call
- Routed to Support Queue
- SLA Response Time Met
- Auto Escalation Triggered
Automated Reporting
- Ticket Resolved and Logged
- Auto Usage Report at Cycle End
- Report Delivered to Client
Enterprise-Grade & Compliance-Ready Architecture
Governance Layer
- Tier Agreement Document
- Covered Systems and Hours Defined
- Access Control per Client System
Secure Support Layer
- Access Controlled Monitoring Access
- Redundant On Call Coverage
- Disaster Recovery Plan for Covered Systems
Auditable Support
- Every Support Activity Logged
- Response Time Compliance Tracking
- Compliance Reporting Export
Compliance Review
- Quarterly Tier Compliance Review
- Signed Off Service Report
- Tier Renewal Decision
AI-Augmented, Human-in-the-Loop Architecture
Ticket Ingestion
- Incoming Support Ticket
- AI Triage Engine
AI Triage Layer
- AI Drafted Diagnosis
- Confidence Score Check
Human in the Loop
- Support Engineer Review Queue
- Diagnosis Correct
- Correction Sent Back to Model
- Human Approved Resolution
Delivery
- Resolution Shipped to Client
- Ticket Closed and Logged
- Feedback Improves Triage Model
- Monthly Report Reflects Resolution
Integration-Heavy / Ecosystem-Connected Architecture
Client Systems
- Client Monitoring Stack
- Client CRM
- Client Ticketing System
Support Core
- Unified Support Connector
- Tiered Support Engine
- Ticket and Health Data Store
Two Way Sync Layer
- Slack or Teams Notification Channel
- Billing System Sync for Tier Usage
- Client Operations Team
- Account Management Team
Shared Governance
- Joint Monthly Review
- Published Tier Usage Report
More in Managed AI Support & Retainers
- SLA-Backed Incident Support
Defined, honest response-time commitments (for example same-day response for critical issues) for AI systems running in production.
- Monthly Performance & Optimization Reporting
A recurring one-page report showing what changed, what improved, and what's next.
- Continuous Model & Prompt Refresh Cycles
Scheduled reviews that catch model drift, provider changes, and stale prompts before they hurt quality.
- Dedicated Strategist / Account Ownership
A named point of contact accountable for outcomes, not just ticket resolution.
Ready to get started?
Tell us what you’re trying to get done and we’ll help you find the highest-leverage place to start, scoped small enough to prove itself before you commit to anything bigger.
Talk to us about Tiered Monthly Retainers (Core/Growth/Enterprise)Retainers run $1,500–$12,000+/mo from Core to Enterprise, month to month, see full pricing.