Overview
Generative AI is rapidly moving from experimentation to enterprise-scale adoption. However, the challenge is not model innovation but operational readiness. Organizations need secure, governed, and cost-effective systems to move generative AI into production.
Mosaic AI, developed by Databricks, is a comprehensive framework for building, deploying, and governing generative AI applications at enterprise scale. Natively integrated into the Databricks Intelligence Platform, Mosaic AI enables teams to operationalize machine learning and generative AI using a unified environment. It combines pre-built foundation models, flexible customization and deployment options, and built-in monitoring to accelerate time-to-market while maintaining control and compliance.
As organizations transition from isolated proofs of concept to production-grade AI systems, Mosaic AI provides essential capabilities such as secure model serving, version control, traffic management, cost-optimized inference, and end-to-end observability. These capabilities address common operational gaps and support reliable performance, cost visibility, and continuous model improvement.
Built-in components
· Foundation & Open Models Catalog: Production-ready open and commercial models for text generation, summarization, embeddings, and reasoning—balancing quality, cost, and control.
· Production-Grade Model Serving: Secure, scalable endpoints with autoscaling (including scale-to-zero to reduce idle inference costs), version management, traffic splitting, and CI/CD integration for safe rollouts.
· AI Gateway for Governance & Control: Centralized layer for routing inference requests with usage tracking, rate limiting, and policy enforcement; requests and responses can be captured in Unity Catalog tables for audit and monitoring.
· Unified Observability: Dashboards and logs capture latency, throughput, errors, and resource usage to enforce SLAs and accelerate troubleshooting.
· Advanced AI Workflows: Fine-tuning, Retrieval-Augmented Generation (RAG), agent frameworks, fallback routing, model comparison, and built-in evaluation for quality, latency, and cost.
Visual overview
Model Catalog → Serving
[Model Catalog]
|__ GPT / OSS / Claude / Llama / Gemma / GTE / BGE
|
v
[Registered Model] —> [Serving Endpoint]
| autoscale / versions / split traffic
v
[Production API]
Endpoint Deployment Pipeline
[Notebook or Pipeline]
| register
v
[Model Registry] —> [Create Endpoint]
| compute: CPU/GPU | scale-out | scale-to-zero
v v
[Tracing] [Traffic Split]
| |
+----> [AI Gateway Policies] ----> [Prod]
AI Gateway Governance Flow
[Incoming Requests]
|
[AI Gateway]
| |-- Rate Limits
| |-- Access Rules
| |-- Usage Tracking
|
+--> [Inference Tables in Unity Catalog]
|
+--> [Dashboards / Audits / Monitoring]
End-to-End RAG / Agent Workflow
[User Query]
|
[Retrieve Docs / Vector Search] --> [LLM Reasoning / Agent Steps]
| |-- tool calls
| |-- fallback routing
+-------------------------------> [Final Answer with Citations]
Business outcomes
· Faster time-to-market: Reduce time-to-market for AI-powered applications via pre-configured models and production-ready serving.
· Security & Governance: Centralized policy control, audit trails, and monitoring aligned to enterprise standards.
· Cost & Performance: Autoscaling, scale-to-zero, and traffic shaping ensure predictable spend and resilient performance.
· Reliability: Fallback routing, HA patterns, and continuous evaluation to maintain SLAs and user trust.
· Quality: Built-in evaluation and model comparison improve precision, tone, and task success over time.
Our approach to operationalizing Mosaic AI
MAQ Software helps enterprises move from AI experimentation to production by aligning Mosaic AI capabilities with measurable business outcomes.
· Use case prioritization: Identify high-impact AI scenarios tied to business KPIs.
· Architecture and governance design: Define secure, scalable architectures for Mosaic AI model serving and governance.
· Production deployment: Implement versioned endpoints with traffic splitting, rollback support, and CI/CD integration.
· Security and compliance instrumentation: Configure AI Gateway usage tracking, rate limits, and inference tables to support audit and compliance requirements.
· Observability and reliability: Establish dashboards and service-level objectives (SLOs) for latency, error rates, and cost.
· Advanced workflow enablement: Operationalize retrieval-augmented generation (RAG), agent-based workflows, and fine-tuning with built-in evaluation.
· Continuous optimization: Create feedback loops across data, prompts, models, and governance policies to improve quality and efficiency over time.
Common enterprise use cases
· Intelligent document processing and summarization.
· Retrieval-augmented knowledge copilots for support and sales.
· Natural-language analytics assistants over enterprise data.
· Fraud detection and risk analysis with human-in-the-loop review.
· AI-driven workflow automation using agentic orchestration.
What to monitor in production AI systems
Sustained AI performance requires continuous monitoring across the full system lifecycle. Organizations should track:
· Performance and reliability: Latency percentiles, error rates, and service health across routes and model versions.
· Cost and scalability: Request volume, concurrency patterns, autoscaling behavior, and inference cost drivers.
· Model and prompt quality: Evaluation scores by task cohort to detect drift or degradation
· Security and governance: Policy violations, rate limit events, and access trends captured through the AI Gateway.
· Compliance readiness: Ongoing data retention, lineage, and governance checks to support audits.
Get started with Mosaic AI
Mosaic AI helps you move from experiments to secure, scalable, production-ready generative AI with governed model serving, integrated observability, and advanced workflows such as RAG and agents.
MAQ Software partners with enterprises to architect, deploy, and operationalize Mosaic AI solutions that deliver measurable business outcomes. Contact us at CustomerSuccess@MAQSoftware.com to get started today.