Dedicated MLOps, System Maintenance & AI Observability Retainers

Ensure zero downtime, sub-second latency, and consistent accuracy for your live AI models and automated workflows with dedicated ongoing engineering retainers.

✓ 24/7 Pipeline & Model Observability: Real-time tracking of latency, token spend, and error rates.
✓ Proactive Drift & Hallucination Prevention: Continuous prompt tuning, retrieval optimization, and evaluation benchmarks.
✓ Guaranteed SLA Response Times: Priority access to senior engineers for API breaking changes and updates.

Problem & Solution

AI Systems Degrade Over Time Without Active Maintenance

Deploying an AI model is only the starting point. Upstream API deprecations, changing internal documents, and model drift will degrade accuracy and increase response latency over time.

The Problem

When an AI pipeline breaks or hallucinates, internal operations halt and customer trust is damaged.

The Solution

Our ongoing MLOps retainers provide proactive system monitoring, prompt adjustments, vector re-indexing, and bug fixes to keep your AI infrastructure running reliably.

Core Capabilities

Model Drift & Accuracy Monitoring

We run automated evaluation suites to benchmark system accuracy against baseline datasets, catching hallucinations and degradation early.

Prompt & Vector Retrieval Optimization

Regular re-chunking of internal knowledge bases, embedding model updates, and prompt tuning to reduce token costs and improve speed.

API Versioning & Deprecation Maintenance

Proactively update your pipelines when third-party providers (OpenAI, Anthropic, cloud databases) release new API versions or deprecate legacy endpoints.

Cloud Infrastructure & Cost Management

Actively monitor vector database scaling, memory utilization, and caching strategies to minimize monthly cloud compute invoices.

150%

Reduction in Manual Workload

60%

Faster Decision-Making

Improved Workflow Efficiency

40%

Task Automation Rate

Get a Free Demo, Audit & Leads Contact us

Retianer SLA Packages

Features	Growth Opeations	Enterprise Dedicated
Monitoring Coverage	24/7 Automated Error Alerts	24/7 Automated Alets + Dedicated Engineer
Response Time SLA	< 8 Business Hours	< 1 Hour Priority Escalation
Monthly Tuning Hours	15 Dedicated Engineering Hours	40 Dedicated Engineering Hours
Evaluation Benchmarks	Monthly Accuracy Reports	Bi-Weekly Continuous Evaluation
Communication Channel	Shared Slack/Teams Channel	Dedicated Slack/Teams + Bi-Weekly Strategy Call

Your Success Story Starts Here
Let’s Begin!

Frequently Asked Questions

Got questions? We've answered the most common ones about working
with RixDigi — from services to timelines to support.

Can you maintain AI systems that were built by another agency?

Yes. We conduct a preliminary 1-week code and architecture review to audit the existing codebase before onboarding external systems into our retainer SLAs.

What happens if an API provider experiences an outage?

Our monitoring systems trigger instant alerts, automatically rerouting inference requests to fallback models or deploying maintenance notifications according to pre-configured failover rules.

Keep Your ProductionAI Infrastructure Fast & Reliable

Schedule an introductory review to discuss monthly engineering
and MLOps support for your systems.

Ready to Bring Enterprise-Grade AI into Your Operations?

Book a 30-minute discovery session with our engineering team to evaluate your workflows and identify your highest-impact AI opportunities.