AI Maintenance & Support

Our support service provides comprehensive coverage for AI applications.

Monitoring watches your systems continuously. We track availability, performance, and quality metrics. When something goes wrong, we know immediately.

Incident management responds to problems quickly. Defined procedures ensure issues get appropriate attention based on severity. We diagnose, fix, and communicate throughout.

Preventive maintenance stops problems before they start. Regular health checks identify emerging issues. Scheduled updates keep systems current and secure.

Technical assistance answers questions and provides guidance. Your team can reach us when they need help understanding system behaviour or planning changes.

Change management handles modifications safely. When updates are needed, we test thoroughly, deploy carefully, and monitor closely afterward.

We offer different support levels to match your requirements.

Standard support provides business hours coverage for non-critical systems. Issues are acknowledged within four hours and resolved according to priority.

Enhanced support extends coverage to extended hours and faster response. Critical issues get attention within one hour.

Premium support offers around-the-clock coverage with dedicated resources. Urgent issues are addressed immediately with senior staff.

All levels include monitoring, maintenance, and access to technical expertise. The difference lies in response speed and availability.

Support operates through a combination of proactive and reactive activities.

Proactive: We monitor dashboards, review logs, analyse trends, and conduct regular health assessments. Many issues are identified and addressed before anyone notices.

Reactive: When problems occur or questions arise, defined processes ensure appropriate response. Tickets are tracked, updates communicated, and resolutions documented.

Regular reviews: Periodic meetings examine service performance, discuss upcoming changes, and identify improvement opportunities. You stay informed about how your AI is performing.

Our support covers the full AI stack:

Conversational AI platforms and chatbots. Quality, routing, and integration health.

AI agents and automation systems. Tool permissions, reliability, and safe fallbacks.

Model hosting and inference infrastructure. Availability, latency, and capacity.

Integrations with business systems. API failures, retries, and data consistency.

Data and pipelines (where applicable). The inputs that drive model behaviour and performance.

We support systems we built and, where feasible, systems built by others that we have assessed and documented.

Support can begin at deployment for new systems or be added to existing installations.

For existing systems, we start with an assessment. We review architecture, documentation, and current state. This identifies any immediate concerns and establishes baselines for ongoing monitoring.

Onboarding transfers knowledge and establishes procedures. We learn your systems and you learn our processes.

Runbook development documents common procedures: how to check status, how to restart components, how to escalate issues. This ensures consistent handling.

Tool setup configures monitoring, alerting, and ticketing. We use your existing tools where possible or can provide our own.

We also agree what “good” looks like: expected availability, acceptable response times, quality thresholds for AI outputs, and what triggers escalation. This keeps support tied to outcomes rather than vague “best effort” commitments.

Use these prompts to define the operating model and what “good support” looks like for your AI systems.

“What are the most likely incidents for this AI system, and what runbooks would resolve them?”

“What monitoring and alerting would catch quality drift, integration failures, and outages early?”

“What should the escalation path be, and what decisions must remain human-led?”