AI Operations
Keep your AI running properly. We monitor performance, catch problems early, and optimise continuously so your AI keeps delivering value.
AI needs ongoing attention
Launching AI is the beginning, not the end. Models drift, data changes, usage patterns evolve. Without proper operations, AI quality degrades over time.
Performance monitoring
Continuous monitoring of response quality, latency, accuracy, and user satisfaction. We catch degradation before your users notice.
Cost management
AI costs can spiral without oversight. We track spend, optimise model usage, and ensure you are not paying more than you need to.
Continuous improvement
We review conversations, tune prompts, update knowledge bases, and improve flows based on real usage data. Your AI gets better over time.
Full observability for your AI
You cannot improve what you cannot see. We build comprehensive monitoring that gives you and your team full visibility into how AI is performing.
Quality metrics
Answer accuracy, relevance, completeness, and hallucination rates. We track the metrics that tell you whether AI is actually helping.
Operational metrics
Latency, uptime, error rates, and throughput. The technical health of your AI infrastructure.
Business metrics
Ticket deflection, resolution rates, user satisfaction, and cost per interaction. The numbers that matter to the business.
Common AIOps scenarios
Post-launch support
You have launched an AI system and need someone to keep it running well. Monitoring, tuning, and incident response.
Quality degradation
Your AI was working well but quality has dropped. We diagnose the cause and restore performance.
Cost optimisation
AI costs are higher than expected. We audit usage, identify waste, and implement optimisations.
How AI operations work
AIOps is an ongoing service. We start with an assessment and then provide continuous monitoring and improvement.
Baseline assessment
We audit your current AI systems, establish performance baselines, and set up comprehensive monitoring and alerting.
Monitoring and response
Continuous monitoring with proactive alerts. We respond to issues, investigate anomalies, and resolve problems before they affect users.
Regular optimisation
Monthly reviews of performance data. We identify improvement opportunities, tune the system, and report on progress.
Frequently Asked Questions
Why does AI need ongoing operations?
AI systems are not static. Models drift, data changes, user behaviour evolves, and underlying APIs get updated. Without ongoing attention, quality degrades.
Can our internal team handle AIOps?
Possibly, if they have the right skills and capacity. We can train your team and set up the monitoring tools, or provide the service directly.
What does AIOps cost?
It depends on the number of systems, complexity, and level of support needed. Most engagements run as a monthly retainer.
Can you manage AI systems you did not build?
Yes. We start with an assessment to understand the system, then establish monitoring and improvement processes regardless of who built it.
Need to keep your AI running well?
AI operations start with understanding what you have. Book a call and we will assess your current AI systems.