Political controversies aside, AI is front and center at this year’s World Economic Forum (WEF) annual meeting in Davos – especially the practical challenge of scaling trustworthy, responsible AI systems in the real economy.

The WEF’s agenda makes the shift clear: the conversation is moving from investing in ever more grandiose models and data centers to pragmatic, value-adding AI deployments that serve clear business purposes. That aligns with our day-to-day reality at Spitch, where we build Collaborative Agentic AI for heavily regulated industries and the public sector, with governance and human oversight by design. Ethical considerations – responsible use and controlled impact – are central in this context.

According to Joël Mesot, President of ETH Zürich, “Trustworthy artificial intelligence (AI) is a global priority as societies shift from broad ethical principles to the more challenging work of putting them into practice.” Scaling trustworthy AI globally highlights the need for concrete governance, measurement, and accountability mechanisms to turn pilots and one-off successes into sustainable operations.

The contact center is one area where AI’s benefits, clear added value, and impact define the next frontier of innovation: relatively small but precision-oriented models serving specific domains such as financial services, retail, and transportation. Spitch specializes in putting such models to effective use for top-tier banks and insurance companies, as well as organizations in other sectors. Reliability is critical for these industries.

Jonathan Zanger, Chief Technology Officer at Check Point Software Technologies, puts it in brutally honest terms: “Trust nothing. Verify everything.” This aligns, according to him, with a central theme for Davos 2026: “realizing AI’s economic potential depends on responsible deployment and verifiable trust”. That’s apparently the key to unlocking AI’s multi-trillion-dollar opportunities.

We agree. Trustworthy AI is not a slogan; it is a stack. It spans policy, architecture, tooling, process, and culture. And it must be visible to business owners, auditors, and regulators – not just developers. Building trust in collaborative AI applications that serve an equitable future requires an expansive agenda that makes inclusion, accessibility, and fairness integral to the responsible deployment of “AI that serves all.”

What “Collaborative Agentic AI” means in enterprise reality

For Spitch and its clients and partners, collaborative agentic AI is not a single model acting alone. It is a set of perfectly aligned, specialized agents – listening to customers, verifying identity and preventing fraud, reasoning, retrieving information, proposing options for action under human control, helping design and optimize effective workflows, conducting quality assurance, and, most importantly, coordinating with people.

In regulated industries, this smooth collaboration can make all the difference between a potential risk or liability and a dependable operation.

Key take-aways

The signal from WEF is consistent: the next phase of AI is about trustworthy, well-governed, and human-centric deployment at scale, but for pragmatic, clearly defined use cases. That has been Spitch’s focus from the start: moving safely, measurably, and fast to deliver reliable collaborative AI for contact centers in various sectors.

Trustworthy AI must be inclusive. That means multilingual experiences, accessibility features, explicit fairness, and clear processes for redress. It also means designing for the least advantaged users first, not last. The emphasis on AI that serves an equitable future is a practical guide here: equity is a system property, not an afterthought.

Spitch stands out by ensuring interoperability and choice for its customers. We support multiple models and deployment options (cloud, on-premises, and hybrid) to balance performance, cost, latency, and data sovereignty, and to avoid single-vendor lock-in. We keep sensitive data local, support redaction by default, and reliably tie outputs to sources using retrieval-augmented generation, providing extra confidence while complying with national and emerging international regulations without slowing delivery.

Explore how Collaborative Agentic AI can work in your environment. Contact us for a live demo or to learn more about Spitch solutions for different industries.