Maintenance

AI maintenance from Kibo AI keeps your new systems performing sustainably. From maintaining the technical infrastructure to ensuring security and compliance, to tuning performance and optimising costs — our on-demand support ensures your business continues to provide peak value.

We oversee

AI Operations
Monitoring

We keep tracking your AI performance in real-time - ensuring constant reliability, availability, and seamless integration into your business. Proactive monitoring helps identify anomalies, bottlenecks and other risks before they escalate - keeping your operations stable, and ensuring performance when it matters most.

Performance &
Cost Optimization

We optimise both models and infrastructure to strike the perfect balance of accuracy, speed and efficiency. Through fine-tuning algorithms, scaling resources and eliminating unnecessary spending, we maximise ROI while reducing costs. This approach ensures that AI delivers peak performance, while staying within budget.

Governance & Continuous
Improvement

We refine your AI solutions as priorities, regulations and data landscapes evolve. Robust governance establishes accountability, ethical safeguards and regulatory adherence, while continuous improvement cycles help keep up with shifting demands on your business. This transforms AI into an agile system that adapts as you do.

Infrastructure
Maintenance

We maintain and secure your infrastructure, guaranteeing your business stability and scalability. With preventive maintenance, security hardening and modernisation custom-designed for you, we'll provide a resilient foundation that safeguards your operations, and lets you innovate and expand safely across the whole enterprise.

What Most Companies Ask Us First

Why does a production AI system require ongoing maintenance?

AI models are not static software. The data they were trained on evolves, business processes change, and real-world inputs shift in ways that gradually degrade accuracy, a phenomenon known as model drift. Without active monitoring and periodic retraining, a system that performs well at launch will deliver meaningfully worse results within 6-18 months.

What does AI maintenance at Kibo AI include?

Kibo AI’s maintenance covers four areas: performance monitoring (tracking model accuracy and output quality over time), infrastructure management (keeping pipelines, APIs, and integrations stable), scheduled retraining (updating models as underlying data evolves), and incident response (diagnosing and resolving production issues). Regular reporting gives stakeholders visibility into system health without needing technical expertise.

How much should we budget for AI maintenance after go-live?

A reliable benchmark is 15-20% of the initial build cost per year. This covers monitoring, retraining cycles, and infrastructure upkeep. Companies that skip structured maintenance planning often face unplanned costs of 3-5x that amount when performance degrades and systems need emergency remediation. Kibo AI makes maintenance costs explicit before any project starts.

Can Kibo AI take over maintenance of an AI system built by another vendor?

Yes. Kibo AI regularly onboards production AI systems built by third parties. The process starts with a technical audit to document the current architecture, identify risks, and establish a monitoring baseline. Most handovers are complete within 4-6 weeks, depending on documentation quality and system complexity.