Interview
maintain quality and accountability. Te focus is on high-impact use cases like automated service desk operations, predictive maintenance, and AI-driven cybersecurity monitoring, delivering measurable efficiency gains within months.
What role will AI play in managed services over the next five years? AI is set to fundamentally change Managed Services. Te sector is projected to grow steadily, driven by demand for cybersecurity, automation, and AI consulting. Most SMBs already use or are considering MSPs, and increasingly expect proactive, data-driven support. In the next five years, AI will enable MSPs to predict and resolve issues before users notice, automate most routine tickets, and provide deeper analytics for cost, security, and performance optimisation. Even small clients will benefit from tailored, enterprise- grade IT support. For MSPs, adopting AI will become necessary to meet client expectations and stay competitive.
How does
Kuhnic.ai ensure enterprise-grade security for AI deployments?
Kuhnic.ai uses Transputec’s long-standing security expertise to provide robust protection at every layer. Data is encrypted both in transit and at rest. Te platform continuously scans for vulnerabilities and detects threats automatically. Strict access controls, including multi-factor authentication, are enforced. Te solution complies with regulations such as GDPR and the EU’s DORA framework, which is especially important for MSPs serving regulated sectors. Explainable AI models are used so that partners and clients can understand how decisions are made, supporting transparency and trust.
Kuhnic.ai mitigates automation risks through rigorous pre-
deployment testing of all AI models and continuous monitoring for unusual or suspicious behaviour. Layered security controls are in place, including access restrictions, audit trails, and automated incident response. Ongoing training is provided for MSPs and resellers to ensure safe and informed use of AI tools. Tis approach aligns with best practices in the MSP industry, where continuous monitoring and layered controls are essential.
What results have pilot clients seen? Pilot MSPs using
Kuhnic.ai have reported up to 40% fewer routine tickets and a 20% increase in profitability within six months. Tis matches broader industry data showing that MSPs leveraging automation and AI see faster incident resolution and improved margins.
Kuhnic.ai provides custom dashboards, real-time reporting,
and business-focused case studies, helping partners communicate efficiency gains and cost savings to clients.
How does
Kuhnic.ai address AI governance, compliance, and ethics? With increasing regulations in sectors like finance, healthcare, and government, MSPs need to ensure their AI tools are compliant and ethical.
Kuhnic.ai implements clear policies on data privacy, model transparency, and human oversight. Te platform is regularly audited for fairness and accuracy, and it keeps up with evolving regulatory requirements to protect MSPs and their clients. Resources are also provided to help partners and customers understand responsible AI use, helping avoid regulatory issues and build trust.
www.pcr-online.biz Te most significant impact has been seen in professional
services (such as law, finance, and consulting) where compliance checks and document management are automated; in retail and e-commerce with predictive maintenance and AI-driven support; in healthcare for IT ticketing and infrastructure monitoring; and in manufacturing for predictive analytics in maintenance and supply chain optimisation. Te platform is flexible enough to benefit any sector where IT reliability and efficiency are important.
How seamless is
Kuhnic.ai’s integration with existing MSPtech stacks? Integration is built into the platform and is compatible with the most common RMM, PSA, cloud, and security suites. Te onboarding team manages setup, so partners can start seeing value quickly, without major migrations or downtime. Tis is crucial in a market where cost control and operational efficiency matter.
Kuhnic.ai offers modular AI components that can be combined
as needed. Workflows and automation rules can be tailored to each client’s environment, with industry-specific templates for rapid deployment. Ongoing support from AI specialists helps refine and optimise solutions over time, ensuring MSPs can meet unique client needs.
How does
Kuhnic.ai support MSPs in scaling AI adoption? Te platform provides enablement resources, co-branded marketing, and flexible licensing to help MSPs scale AI adoption across their customer base, which is increasingly important as the market grows. In the near future,
Kuhnic.ai will introduce conversational
AI agents for advanced support, deeper integration with third- party business applications, enhanced analytics for predictive insights, and self-healing automation that can detect and fix issues autonomously.
Kuhnic.ai invests in research and development and maintains
close relationships with leading AI research institutions. Regular feedback from MSP and reseller partners shapes the roadmap, and an agile development approach allows the platform to adapt quickly to new technologies, regulations, and business needs.
“
Kuhnic.ai mitigates automation risks through rigorous pre-deployment testing of all AI models and continuous monitoring for unusual or suspicious behaviour. ”
May/June 2025 | 19
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