Orvera AI is adding Forward Deployed Ops Experts to its enterprise deployment teams, pairing contact center operations experience with technical expertise from the initial scoping session through go-live and ongoing operations.
The company says the model is intended to address a common challenge in enterprise AI: an agent may function as designed but still fail to fit the realities of a busy contact center.
Under the model, Forward Deployed Engineers handle integrations and technical execution, while Ops Experts bring knowledge of contact center workflows, service levels, queue management, quality assessment, compliance and escalations. Orvera says its Ops Experts have experience owning queues, assessing conversations against quality rubrics and managing service-level performance.
The company is also applying the operational approach to AI performance measurement. Rather than assessing conversations on transcripts alone, Orvera says it can compare what an agent said with evidence from enterprise systems to check whether actions—such as applying a credit, updating a case or scheduling a callback—were completed.
Engineers connect evidence across business systems, while Ops Experts identify which records, fields and outcomes demonstrate that work is complete. They also help adapt customers’ existing evaluation forms into automated AI scorecards and calibrate those scorecards with quality analysts.
Ali Merchant, Chief Executive Officer of Orvera AI, said:
Ali Merchant, Chief Executive Officer of Orvera AI
“Forward deployed engineering is the right way to put AI into an enterprise, but customer experience requires a second kind of expertise. The engineer makes the agent work. The operator makes it work on a Monday morning with a full queue. Every Ops Expert has owned a queue and answered for a service level. That knowledge has traditionally lived on the contact center floor. We believe it belongs inside the AI deployment team from day one.”
The model is effective immediately across Orvera AI’s enterprise deployments.
Industry Impact
Bringing contact center expertise into implementation could help identify workflow exceptions, quality standards and compliance risks earlier. The approach also points to a growing expectation that AI vendors support ongoing operational calibration—not simply launch an agent and measure its performance through conversation data alone.
