Agentic AI Pitch Days 2026: Advancing the Future of Enterprise and Telecom AI

Reinventing Debt Collection Through Autonomous AI

PAIR Finance showcased its AI-native debt collection and receivables management platform, built to help enterprises automate recovery processes at scale while improving customer engagement.

Operating across 12 European markets, the company combines reinforcement learning and generative AI to create highly personalized communication strategies for debt collection. The platform is designed to address traditional industry challenges such as high invoice volumes, scalability limitations, and customer retention risks associated with aggressive recovery methods.

PAIR Finance emphasized the importance of behavioral intelligence and proprietary datasets in enabling hyper-personalized interactions, while also addressing the regulatory complexity of deploying autonomous AI solutions in GDPR-sensitive environments.

Building Trust and Compliance for Agentic AI

As enterprises accelerate AI adoption, governance and compliance have become critical priorities. Klarytee Ltd introduced its data-centric governance platform designed specifically for regulated organizations handling sensitive information.

The platform focuses on securing and governing data at the fragment level, enabling persistent compliance even as information moves across AI systems and enterprise environments. By binding governance policies directly to data, Klarytee helps organizations reduce the risks associated with uncontrolled or “shadow” AI data flows.

Its capabilities include secure data discovery, classification, fragment-level encryption, granular access control for AI agents, and real-time monitoring. The company’s approach enables organizations to maintain strict “need-to-know” access policies while supporting scalable AI deployment across global regulatory frameworks.

Securing the Full AI Lifecycle

Cybersecurity and trustworthiness in generative AI environments were another major focus of the session. DeepKeep Ltd presented its AI-native security platform designed to protect enterprise AI systems throughout the entire AI lifecycle.

The platform combines AI model scanning, automated penetration testing, runtime AI firewall protection, and continuous monitoring capabilities to help organizations identify vulnerabilities and manage AI-related risks in real time.

Supporting large language models, computer vision systems, and multimodal AI environments, DeepKeep provides enterprises with tools to strengthen AI security while ensuring compliance with evolving privacy, security, and regulatory requirements.

The company has already established collaborations with telecom operators across Europe, the United States, and Africa, positioning itself as a key player in the emerging AI security ecosystem.

Enterprise AI Agents for Operational Efficiency

Klart AI closed the session by presenting its enterprise-grade autonomous AI agent platform, focused on improving productivity and automating knowledge-intensive workflows across organizations.

The platform enables companies to deploy customizable AI agents capable of automating tasks such as knowledge retrieval, reporting, content generation, employee support, and workflow execution. Designed to integrate with internal enterprise systems and data sources, Klart AI provides organizations with flexible tools to scale AI adoption across multiple business functions.

The company also highlighted the importance of transparency and governance, offering administrators visibility into agent activities through dashboards, logs, and configurable access controls.