Overview
Deploying a GenAI system is the beginning, not the end. Models drift. Prompts degrade. Infrastructure costs creep up. New model versions change behaviour. Compliance requirements evolve. Without dedicated operations discipline, GenAI systems quietly deteriorate — producing worse results, costing more, and accumulating technical and compliance debt. Our LLMOps & GenAI Operations service provides the continuous operational oversight that keeps your AI investments performing. We monitor, optimise, update, and report — so your team can focus on building the next thing, not maintaining the last one.
How It Works with a21
Operations Baseline & Instrumentation
Audit your current AI stack. Instrument systems for observability — latency, cost, accuracy, error rates. Establish baselines and define the operational SLAs we will manage against.
Monitoring & Incident Management
Deploy monitoring pipelines, alerting, and on-call processes. Implement incident response playbooks. Begin continuous model health and cost tracking.
Optimisation & Continuous Improvement
Run regular optimisation cycles — prompt updates, model upgrades, infrastructure rightsizing. Deliver monthly operational reviews with performance trends and recommendations.
What We Offer
System Health Monitoring
24/7 monitoring of latency, error rates, throughput, and model accuracy — with alerting and incident response for any degradation.
Cost Optimisation
Continuous monitoring and optimisation of inference costs — through model selection, batching, caching, prompt compression, and infrastructure rightsizing.
Prompt Maintenance
Regular review and updating of production prompts — responding to model updates, business changes, and observed quality issues.
Model Version Management
Managed evaluation and rollout of new model versions — testing against your golden datasets before production deployment, with rollback capability.
Compliance Reporting
Monthly compliance documentation covering model changes, access logs, incident records, and performance evidence — ready for internal and external audit.
Capacity Planning
Forecast infrastructure requirements based on usage trends and business plans — preventing capacity-related performance degradation.
Why Choose a21
GenAI-Specific Operations
Generic IT operations does not cover the GenAI-specific challenges — prompt drift, model updates, RAG pipeline quality. We operate GenAI systems specifically.
Cost Accountability
We track and optimise your AI inference spend with monthly reporting. Our clients typically see 20–35% cost reduction in the first six months.
Compliance-Ready
Our operations documentation is designed to satisfy model risk management and audit requirements — not just internal engineering needs.
Proactive, Not Reactive
We identify and fix issues before they affect users — through monitoring, proactive testing, and regular optimisation cycles.
Success Stories
Problem
A global bank had deployed six GenAI systems across compliance, customer service, and risk — but had no unified operations, inconsistent monitoring, and rising inference costs with no visibility.
Solution
Implemented unified LLMOps infrastructure covering all six systems — monitoring, cost tracking, prompt versioning, and a managed model update process with rollback capability.
Problem
A pharma company’s clinical AI systems had no formal operations structure — updates were ad hoc, there was no monitoring beyond basic server health, and compliance documentation was incomplete.
Solution
Established a formal LLMOps programme covering five clinical AI systems — with 24/7 monitoring, managed model updates, prompt maintenance, and monthly compliance reporting.
Tech Stack & Tools
LangSmith / LangFuse
Prometheus / Grafana
MLflow
PagerDuty
Weights & Biases
AWS / Azure / GCP cost tools
Custom compliance dashboards
Get Started
Keep your GenAI investments performing. Talk to a21 about AI managed services.
