Service that scales without sounding robotic
Voice and digital assistants grounded in CRM, policies, and escalation paths.
Customers expect instant, accurate answers; agents should handle exceptions—not password resets on repeat.
The Challenge
Legacy IVR trees and brittle bots frustrate users and inflate handle times. Generic LLM chat lacks CRM context, brand tone, and compliance controls, so teams hesitate to automate beyond FAQs.
The Innovoco Solution
We implement retrieval-augmented voice and chat on your stack—Azure Communication Services / Copilot patterns or Vertex—with CRM tickets, knowledge articles, and policy snippets in the retrieval boundary. Sentiment and intent drive routing; humans keep complex cases.
Phase 1 — Instrument and segment
Mine transcripts for top intents, failure modes, and compliance phrases. Define allowed actions (read-only vs transactional) and mandatory disclosures.
Phase 2 — Automate with guardrails
Roll out verified flows with human-in-the-loop for refunds, credits, and edge cases. Measure containment, CSAT, and compliance adherence weekly.
Key implementations
CRM-grounded answers
Pull account state, entitlements, and open cases before responding.
Smart routing
Escalate on sentiment, regulatory keywords, or low model confidence.
Multilingual coverage
Shared retrieval with locale-specific response templates where required.
Quality monitoring
Sampled human review plus automated rubrics on tone, policy, and accuracy.
PCI/PII boundaries
Tokenize or avoid sensitive fields; route payments to existing secure flows.
Technical innovation
Orchestration layers (including LangGraph where needed) coordinate speech, tool calls, and escalation APIs so the same policy graph powers voice, chat, and agent assist—one brain, many channels.
Impact
- 20–45% containment on eligible intents after hardening (varies by industry).
- Meaningful AHT reduction when agents receive summarized context and suggested replies.
- 24/7 coverage for tier-1 questions without linear headcount growth.
- Consistent policy language across regions and shifts.
Containment went up without our agents feeling replaced. The model stays inside CRM and policy; humans still own the hard cases.
— VP Customer Operations (anonymized)
Explore this outcome on your stack
We map scope, guardrails, and rollout to your data boundaries and teams—practical next steps, not a generic slide deck.
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