• Cevro has entered a partnership with Flows to combine AI-led support and Flows’ automation and integration engine.
  • The collaboration aims to help operators resolve queries faster, reduce manual tasks and smooth service journeys across operations.
  • Integration will let operators automate handoffs, streamline workflows and reduce repetitive manual work in customer service and back‑office processes.

What the partnership is

Cevro and Flows have formed a partnership that pairs Cevro’s AI‑led support capabilities with Flows’ automation and integration engine. The joint offering is positioned to help operators — particularly in iGaming and related sectors — resolve customer queries faster while reducing the volume of manual work required across support and operational teams.

Why it matters to operators

Operators often face fragmented tech stacks and high volumes of routine enquiries that require repetitive manual handling. By linking AI‑driven support with an automation layer, the partnership targets those pain points: AI can handle intent recognition and initial responses, while Flows’ engine automates data lookups, system updates and handoffs between teams or tools.

That combination promises fewer manual steps, fewer human handovers and shorter resolution times — outcomes that translate to lower operational strain and a smoother experience for end users. The move also reflects a broader industry push to combine AI with orchestration tools to scale support without simply adding headcount.

How the integration is likely to work

Although technical implementation details were not provided, the stated aim is clear: Cevro’s AI will manage the frontline interaction or case classification, and Flows will trigger and coordinate the downstream actions across connected systems. Typical use cases could include automating verification checks, escalating complex cases to specialist teams, and writing back updates to CRMs or ticketing systems — all without manual intervention for routine steps.

Potential benefits and considerations

Benefits for operators include faster query resolution, reduced manual workload for agents, and more consistent service journeys across channels. For businesses, that can mean improved customer satisfaction and lower operational costs over time.

However, operators should still evaluate integration complexity, data privacy and change management. Successful deployments generally require mapping workflows, setting clear escalation rules and monitoring AI decisions to ensure accuracy and compliance.

What to watch next

Operators and partners will be watching for pilot results, case studies and technical integration guides that show how the combined solution performs in live environments. If the collaboration delivers on its goals, it may accelerate adoption of AI‑plus‑automation models across support and operational teams in the sector.

Image Referance: https://igamingbusiness.com/company-news/cevro-partners-with-flows-to-unleash-ai-powered-automations/