NewNew: The enterprise guide to Agentic AI — 24 min read.
Read →Pronix delivers AI agent assist implementation for enterprise contact centers: real-time knowledge, next-best-action, live guidance and after-call work automation embedded in the desktop your agents already use. We add disposition automation and agent coaching automation on the same event stream, then run it as agent assist managed services against handle-time and quality targets.
Agent Assist works only when it lives inside the console the agent already uses — not another tab.
Assist that lives in a second window is assist that gets ignored. Value comes from being embedded in the CCaaS desktop, aware of the live call, and grounded in enterprise knowledge.
Low-latency ASR with speaker diarization across languages and accents.
Governed RAG across product, policy and playbook content, with citation and access control.
Guided workflows with system-of-record context, tailored to intent and customer segment.
Structured summaries and dispositions written back to the CRM automatically.
Real-time coaching on disclosures, empathy, resolution and script adherence.
SDK-native experiences inside Dynamics 365 CCaaS, Amazon Connect, Genesys, NICE, Five9, Salesforce Agentforce and Google CCAI.
Every engagement follows the same rhythm — so business, IT and delivery stay aligned from opportunity to outcome.
Desktop audit and use-case shortlist.
Assist blueprint and knowledge model.
One queue, measurable KPIs.
Native CCaaS embed and integration.
Rollout across queues and languages.
Continuous knowledge ops and tuning.
Ground answers in current policy and product docs, with citations agents can trust.
Step-by-step guidance that keeps compliance in the flow, not in a checklist afterwards.
Structured wrap-up posted to CRM in seconds, freeing agents for the next contact.
Team leaders see live sentiment, adherence and escalation risk across their queue.
Every platform we implement is only as good as the retrieval, connectors and controls behind it. These are the horizontal solutions we ship with every engagement.
What agent assist implementation covers across real-time guidance, after-call work, dispositions and coaching.
After-call work automation drafts the summary, notes and CRM updates while the conversation is still in memory, then presents them for one-click confirmation. Removing 30–60 seconds of typing per interaction is usually the fastest measurable win in an agent assist program.
Disposition automation classifies each interaction against your existing reason-code taxonomy from the transcript, rather than relying on hurried agent selection. Reporting quality improves immediately — and the same classification stream feeds intent mining and automation planning.
Agent coaching automation scores every interaction against your quality form, surfaces the specific moments behind each score, and routes targeted coaching to supervisors — replacing 2–3% sampled reviews with full-coverage, evidence-backed feedback.
Agent assist managed services keep guidance accurate as products, policies and knowledge change: knowledge and prompt tuning, suggestion-acceptance monitoring, quality-form calibration and release regression testing, run by a named pod under an SLA.
30 minutes. Your architecture, your data, your KPIs. You leave with a concrete pilot outline and a business case worth defending.
