Closing a support ticket does not always fix the problem that brought the customer back.
OnClarity announced Oct. 26 that it has been named an OpenAI Select Partner, with plans to expand its customer-service AI agents, interaction reviews, and customer-insight tools.
For channel partners serving contact centers, the potential opportunity is helping customers connect those tools to business systems, govern their actions, and measure whether they reduce recurring problems.
What OnClarity plans to expand
In its press release, OnClarity described three capabilities it plans to expand:
- Voice and text AI agents that handle customer conversations.
- Agent QA, which the company says reviews every human and AI interaction rather than a sample.
- Insights, which the company says links recurring issues to underlying causes so teams can address them and measure results.
The company says it serves enterprises across Europe, the Middle East, and North America, including regulated organizations using English- and Arabic-language agents.
“Most AI tools in CX answer questions. CX leaders need it to fix the cause and prove it worked,” said Abed Kasaji, OnClarity’s CEO and co-founder.
The announcement does not disclose pricing, reseller terms, partner margins, or a rollout timetable.
What the designation means for partners
OpenAI’s partner program supports organizations building, selling, and delivering AI solutions. Its Select, Advanced, and Elite tiers consider sales performance, technical capability, co-selling engagement, and deployment experience.
For providers evaluating OnClarity, the announcement leaves open whether they can resell the platform or participate in deployments, and who would own implementation and ongoing support.
Procurement is another separate question. OpenAI Marketplace lets eligible enterprises apply existing commitments toward qualifying partner software, but OnClarity’s announcement does not establish eligibility for that route.
Potential services could include connecting knowledge sources, configuring access to customer records, and defining human escalation rules. The Salesforce and AWS effort to connect CRM data and AI agents illustrates the broader integration work involved.
Governance matters just as much. Retrieving an order status and issuing a refund require different permissions. JumpCloud’s research on AI agent identity governance highlights gaps between AI adoption and organizations’ ability to control and audit agent access.
Make verified resolutions the business case
Partners considering this category should start with a bounded workflow, such as order-status requests, and establish a baseline for resolution time, repeat contacts, customer satisfaction, and cost per resolved case.
A pilot should test difficult situations alongside routine requests: conflicting records, missing information, policy exceptions, and customers who need a person. Human handoffs should preserve the conversation and explain what the AI already attempted.
Automated quality reviews also need checking against experienced human reviewers. Scoring more interactions is useful only if the system catches consequential mistakes.
Recurring-issue analysis could support ongoing advisory work, but findings need an owner. Identifying a confusing refund policy creates value when someone fixes it and verifies that related contacts decline.
The business case should account for integration, model usage, monitoring, and human review alongside labor savings. Partners that demonstrate fewer repeat contacts and reliable escalation will have a stronger offer than those reporting only how many conversations AI handled.
Read more: As customer-service AI raises expectations for measurable results, Caylent’s CEO explains how AI is changing IT services delivery, staffing, and customer expectations.