Konecta launches Kolibri to move agentic AI from pilots to production

Konecta on June 16 launched Kolibri, an agentic AI orchestration platform built to help enterprises deploy AI in weeks instead of getting stuck in experimentation. The platform combines pre-built use cases, enterprise governance and open integrations for regulated industries and customer operations.

Why it matters: - Enterprises want agentic AI to handle real work, but many projects stall before production because deployment, governance and cost control are hard to scale. - Kolibri is built to shorten that path by pairing pre-built workflows with enterprise controls and integration into existing systems. - Konecta is positioning the platform for regulated sectors where auditability, compliance and oversight are non-negotiable.

What happened: - Konecta launched Kolibri, its agentic AI orchestration platform, on June 16, 2026. - The platform is designed to help enterprises move from AI experimentation to production. - Konecta framed the launch as a response to “pilot purgatory,” where AI projects show promise but do not make it into live operations.

The details: - Kolibri includes a library of cross-industry and industry-specific agentic AI use cases that are up to 80% pre-built, tested and secured. - The remaining 20% is tailored to each client’s systems, sector, workflows and business objectives. - Konecta says the platform is informed by 25 years in customer experience, 500 clients and 1 million customer resolutions every day. - Ready-to-deploy use cases cover billing management, technical support, appointment booking, claims handling, collections, returns and refunds, order tracking, voice of customer and email triage. - The agents are designed to do more than respond. They can update records, process transactions and complete workflows end to end. - Every decision is logged and auditable in real time. - Kolibri connects customer data, enterprise systems, communication channels, AI agents and human experts in one ecosystem. - Organizations can automate and orchestrate processes from start to finish while keeping visibility into performance, cost and governance. - Human expertise remains in the loop for oversight, quality and escalation. - The platform is aimed at complex and regulated sectors including banking, telecommunications, energy, mobility, retail, and travel and tourism. - Kolibri is underpinned by Konecta’s ISO 42001-certified AI management framework. - The framework includes cybersecurity controls, compliance policies, observability and audit trails built into every deployment. - Kolibri is built to work with existing enterprise technology stacks. - Its open architecture integrates with CRM, CCaaS, data, ticketing and communication systems. - The platform orchestrates technologies from Google Cloud, ElevenLabs, Uniphore, CrewAI, NiCE and Salesforce. - Konecta says the architecture allows customers to adopt better or more cost-effective models over time without being locked into a single provider or proprietary environment. - Kolibri’s commercial model is based on specific business use cases rather than fixed per-agent licensing or token-based pricing. - Built-in FinOps dashboards show token consumption and AI compute costs in real time. - The dashboards are designed to help organizations route workloads to the most cost-effective models and control spend without sacrificing performance. - Kolibri is available now, and clients can explore the use case library and test deployments on the platform. - New use cases will be added continuously.

Between the lines: - Konecta is betting that enterprise buyers want agentic AI packaged as an operational service, not just software. - The emphasis on governance, audit trails and human oversight signals a pitch aimed at buyers that cannot afford compliance mistakes. - The use-case-based pricing model also suggests a move to make AI costs easier to predict as deployments scale.

What’s next: - Clients can begin testing deployments immediately on Kolibri. - Konecta plans to keep expanding the platform’s use case library over time. - The company will likely use the platform to deepen its role in running AI systems alongside customers, not just selling the technology.

The bottom line: - Konecta is trying to turn agentic AI into a production-ready enterprise utility, with governance and cost controls built in from the start.