Enlighten AI, CXone Mpower, auto QM, agent assist, forecasting.
Conversational AI, agentic AI, virtual agents, agent copilot, knowledge AI.
Genesys Cloud AI, virtual agent, predictive routing, agent copilot, speech analytics.
Genius AI suite, virtual agent, agent assist, voice biometrics, workflow automation.

Lex bots, Contact Lens, AI-driven routing, real-time analytics, Lambda automation.
Einstein AI, Agentforce, next-best-action, AI-powered case management, CX integration.
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Copilot Studio, custom AI agents, M365 integration, contact center automation.
AI Companion, contact center AI, virtual agent, real-time coaching, post-call summaries.

One Primero engineered a Cognigy–NiCE CX integration that automated self-service, payments, and agent assist — without disrupting existing workflows
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IBM needed Watson AI to manage 75,000+ healthcare inquiries per month with a 90% deflection target. One Primero engineered an integration that had never been built before.
Read the Full Case Study →AI managed services keep conversational AI, agent assist, and workforce AI tools tuned and performing after launch. AI systems drift as customer language and business processes change, so ongoing tuning matters as much as the initial build.
We monitor AI performance against real interactions, adjust conversation flows and training data as patterns shift, and manage the AI-to-agent hand-off. That ongoing tuning is what kept Ferrellgas's abandonment rate down from 90% to 30% and doubled the volume of AI-handled payments.
Coverage spans conversational AI, agent assist, quality management AI, voice AI, and workforce AI, kept current as your customer interactions and business needs evolve.
Without ongoing tuning, an AI agent's accuracy degrades as customer phrasing and business processes change. Regular retraining and monitoring keep resolution rates from drifting downward unnoticed.
AI performance drifts after go-live as language and processes change, so it needs ongoing attention, not a one-time build. We monitor and retrain continuously, across Cognigy, Amelia AI, and native suites like NiCE, Five9, and Genesys, so you get sustained results without building AI operations expertise in-house, the kind of tuning that took Ferrellgas's abandonment rate from 90% to 30% over time.