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Deploying an AI solution is only the beginning.
AI applications need continuous monitoring, optimisation, maintenance, security updates, data management and performance improvements.
Nivida Software provides AI managed services that help organisations operate and continuously improve their AI systems after implementation.
Our Managed AI services support the ongoing performance, security, reliability and cost efficiency of deployed AI applications.
We provide:
AI systems can change over time as business data, user behaviour and requirements evolve.
Continuous monitoring helps identify performance issues and opportunities for improvement.
Our AI operations services can monitor relevant AI applications and workflows to ensure they continue delivering expected outcomes.
Agentic AI systems may interact with multiple applications and perform several business tasks.
Our Enterprise AI managed services can monitor agent behaviour, workflow performance, errors, escalation patterns and system availability.
AI usage can generate significant infrastructure and model costs.
Nivida can analyse AI usage and help organisations optimise model selection, prompts, workflows and architecture to improve cost efficiency.
Enterprise AI assistants often depend on internal knowledge bases.
As company policies, products, procedures and documents change, the knowledge base needs to remain current.
Our Managed Generative AI services can support ongoing knowledge management, prompt refinement and application optimisation.
AI applications need the same operational discipline as other enterprise software.
Our AI support and maintenance services help maintain integrations, monitor system health, apply updates and address security requirements.
AI transformation should be an ongoing process.
After deploying an initial AI solution, organisations can identify additional workflows, departments and use cases where AI can create value.
Nivida can support this continuous transformation journey.
AI managed services can be structured according to your requirements:
Instead of building a large internal AI team immediately, organisations can work with Nivida as an extended technology partner.
As an AI managed service provider, Nivida combines AI, software engineering, cloud, automation and enterprise technology capabilities to support AI systems beyond initial development.
The organisations that gain the greatest long-term value from AI will continuously improve their systems rather than treating AI as a one-time project.
Nivida Software can help you operate, optimise and expand your AI environment.
Talk to Nivida about an AI managed services partnership for your organisation.
AI managed services help organisations monitor, maintain, secure, optimise, and improve deployed AI systems. Nivida Software provides ongoing technical support beyond initial implementation.
Nivida Software monitors AI applications, manages models and knowledge bases, maintains integrations, optimises costs, resolves technical issues, applies updates, and improves system performance.
Yes. Ongoing monitoring identifies inaccurate outputs, model drift, rising costs, security issues, integration failures, changing user behaviour, and opportunities to improve business outcomes.
Nivida Software maintains AI systems through performance monitoring, model updates, prompt optimisation, knowledge management, integration support, security checks, testing, and issue resolution.
Yes. Nivida Software can handle specialised AI operations, monitoring, maintenance, support, and optimisation, allowing internal teams to focus on core business priorities.
AI production support commonly includes system monitoring, incident response, application maintenance, integration support, model updates, security checks, cost optimisation, and performance reporting.
Costs depend on application complexity, support hours, system volume, monitoring needs, infrastructure, model usage, integrations, service levels, and whether a dedicated team is required.
As a global software development company, Nivida Software supports organisations lacking internal AI expertise, monitoring capacity, maintenance resources, cost control, or continuous improvement capabilities.