SUPPORT SERVICES
AI System
Support & Maintenance
AI systems need ongoing care. We implement monitoring solutions for LLM performance, optimise prompts based on real usage, and cut token costs by 30-50%[src], with infrastructure designed for high availability.
99.9%
System Uptime
30-50%
Cost Reduction
<200ms
P95 Latency
Proactive AI System Support
Why AI Systems Need Expert Support
Model drift detection catches performance degradation before users notice
Prompt versioning and A/B testing improves accuracy by 15-25% over time
Strategic caching and model routing reduces token costs by 30-50%
Sub-200ms P95 latency maintained through continuous performance tuning
AI models degrade in production as usage patterns shift, user distributions change, or foundational models update. We implement continuous monitoring solutions with automated checks that track response quality, accuracy metrics, and behaviour patterns across real user interactions. When drift is detected, these systems trigger alerts and initiate retraining workflows, ensuring your AI maintains 95%+ accuracy[src]. This proactive monitoring catches degradation before it reaches users across production deployments.
Model drift detection catches performance degradation before users notice
Prompt versioning and A/B testing improves accuracy by 15-25% over time
Strategic caching and model routing reduces token costs by 30-50%
Sub-200ms P95 latency maintained through continuous performance tuning
Our AI Support Methodology
How We Design AI System Maintenance
1. Monitoring & Alerting
We implement Helicone, LangSmith, or Datadog across your AI stack. Design monitoring solutions that track latency, token usage, error rates, and costs in real time. Automated alerting architectures catch problems before users notice, with continuous monitoring capabilities designed for high availability.
2. Optimisation & Tuning
Implement version control for prompts with live A/B testing frameworks. Design solutions that maintain P95 latency under 200ms through caching, context window tuning, and smart model selection. Build systems that analyse real responses, measure accuracy gains, and refine prompts when models update.
3. Cost Reduction
Build visibility into spend by feature, user, and model. Implement strategic caching, request batching, and intelligent model routing that selects the most cost-effective provider for each query. Typical results show significant savings within months.
1. Monitoring & Alerting
We implement Helicone, LangSmith, or Datadog across your AI stack. Design monitoring solutions that track latency, token usage, error rates, and costs in real time. Automated alerting architectures catch problems before users notice, with continuous monitoring capabilities designed for high availability.
2. Optimisation & Tuning
Implement version control for prompts with live A/B testing frameworks. Design solutions that maintain P95 latency under 200ms through caching, context window tuning, and smart model selection. Build systems that analyse real responses, measure accuracy gains, and refine prompts when models update.
3. Cost Reduction
Build visibility into spend by feature, user, and model. Implement strategic caching, request batching, and intelligent model routing that selects the most cost-effective provider for each query. Typical results show significant savings within months.
Reliable AI, Managed
The Value of Expert AI Support
System Reliability
99.9% uptime
We design continuous monitoring solutions with automated failover and fallback options for high availability[src]. Issues get caught before users notice. Support infrastructure designed for rapid incident response workflows.
Cost Optimisation
30-50% total savings
Smart caching cuts token usage by 20-30%. Intelligent model routing and request batching deliver 30-50% total savings[src]. Full visibility into spend by feature and user.
Performance Consistency
<200ms P95
We implement solutions that maintain <200ms P95[src] latency as you scale. Response times stay fast, accuracy stays high. Automated tuning systems handle the hard parts.
Quality Assurance
95%+ accuracy
Implement A/B testing frameworks for prompt variants in production maintaining 95%+ accuracy[src]. Build systems that track accuracy gains over time. Deploy automated checks that spot model drift and trigger retraining workflows.
System Reliability
99.9% uptime
We design continuous monitoring solutions with automated failover and fallback options for high availability[src]. Issues get caught before users notice. Support infrastructure designed for rapid incident response workflows.
Cost Optimisation
30-50% total savings
Smart caching cuts token usage by 20-30%. Intelligent model routing and request batching deliver 30-50% total savings[src]. Full visibility into spend by feature and user.
Performance Consistency
<200ms P95
We implement solutions that maintain <200ms P95[src] latency as you scale. Response times stay fast, accuracy stays high. Automated tuning systems handle the hard parts.
Quality Assurance
95%+ accuracy
Implement A/B testing frameworks for prompt variants in production maintaining 95%+ accuracy[src]. Build systems that track accuracy gains over time. Deploy automated checks that spot model drift and trigger retraining workflows.
Complementary AI Expertise
Related AI Services
Infrastructure & Team Services
Extended Support Expertise
Managed Services
Full infrastructure management with 24/7 monitoring, security patching, and performance optimisation for cloud and on-premise systems.
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