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AI-Powered Quality Operations

Audit Every
Conversation.
Explain Every Score.

Audit Agent replaces sample-based QA with continuous, evidence-backed conversation auditing — across both voice and chat channels — at enterprise scale.

Request a DemoSee How It Works
Audit Coverage
100%
vs. 5–10% sampled QA
Avg. Review Time
0.4s
per conversation
Live Audit Feed
Chat #4821 — Tone, resolution, phrasing all within policy94
Voice #3309 — Weak closure; verification step skipped67
Chat #5014 — Unsafe phrasing detected in resolution41
Voice #3412 — Empathy, call control, escalation scored89
100%

Conversation audit coverage — not sampling

↑3×

Faster QA turnaround at scale

2×

Channel types — voice and chat unified

↓80%

Reduction in manual review effort

∞

Defensible, evidence-backed scores

WORKFLOW

From raw conversation
to actionable intelligence

A five-stage pipeline that ingests your transcripts and recordings, evaluates them against your policies, and delivers scored, explainable audit outputs ready for coaching and compliance review.

01

Ingest

Transcripts, chat logs, call recordings, metadata, and QA form definitions ingested from your existing systems.

02

Evaluate

Configurable scorecards apply QA rubrics, process checks, compliance mandates, and critical failure flags.

03

Reason

Each score is paired with evidence-backed rationale — pinpointing exactly what happened, where, and why it matters.

04

Surface

Risks, trends, root causes, repeat defects, and agent-level patterns surfaced for rapid intervention.

05

Improve

Targeted coaching plans, calibration sessions, process corrections, and training actions — all driven by audit data.

WHAT MAKES IT DIFFERENT

Built for
serious quality operations

Audit Agent isn't a generic AI overlay on your QA forms. It's purpose-built for the demands of contact center compliance and quality governance.

Channel-Aware Scoring

Separate, purpose-built audit logic for voice and chat — not a single generic model stretched across both. Voice evaluations handle silence, interruptions, and tone; chat evaluations handle phrasing, delay, and policy adherence.

Explainable Audit Output

Every score comes with evidence, rationale, and a recommended next action. Supervisors know exactly what drove a result and what to address — not just a number on a dashboard.

Operational Intelligence

Audit patterns are automatically aggregated by agent, team, queue, product, customer intent, and process — giving leadership the systemic visibility needed to drive real improvement.

CHANNEL COVERAGE

Purpose-built for
voice and chat audit

Every channel has its own communication dynamics, failure modes, and compliance requirements. Audit Agent evaluates each on its own terms.

Voice Calls

What Audit Agent Evaluates

Greeting and authentication flow · Empathy and rapport signals · Silence and dead-air handling · Interruption and call control · Escalation protocol adherence · Closure discipline and next-step clarity

Typical Risks Detected
  • Missed or incomplete customer verification
  • Poor call handling and dead-air incidents
  • Policy deviation during key process steps
  • Unresolved issues presented as closed
  • Weak or missing call closure
Chat Conversations

What Audit Agent Evaluates

Response quality and completeness · Turnaround delay and responsiveness · Tone consistency and professionalism · Knowledge base and approved phrasing usage · Next-step clarity · Closure quality and follow-through

Typical Risks Detected
  • Unsafe or non-compliant wording in responses
  • Inconsistent or contradictory answers
  • Slow response times outside SLA thresholds
  • Incomplete issue resolution
  • Poor policy adherence in sensitive interactions
USE CASES & OUTCOMES

Who Audit Agent
is built for

From QA automation to regulatory compliance, Audit Agent delivers measurable results across the teams that depend on conversation quality.

Ideal Deployment Scenarios

1

Contact Center QA Automation — Replace manual sampling with continuous, AI-driven audit across every agent conversation.

2

Banking & Fintech Compliance Monitoring — Detect regulatory deviations and policy breaches before they become audit findings.

3

Collections & Customer Support Reviews — Ensure fair, consistent, and compliant agent behavior across sensitive interaction types.

4

Supervisor Coaching & Calibration — Give supervisors evidence-backed coaching data instead of subjective impression-based reviews.

5

Internal Audit Evidence Generation — Generate defensible, timestamped audit trails for compliance and governance reporting.

Outcomes for QA & Operations

  • →Wider audit coverage with significantly lower manual effort
  • →Consistent and defensible scoring across all teams and shifts
  • →Faster identification of quality and compliance risk signals
  • →Clearer coaching priorities tied directly to conversation evidence

Outcomes for Leadership

  • →Improved visibility into recurring experience failures
  • →Cross-channel governance from a single audit engine
  • →Systemic trend data for training and process redesign
  • →Reduced compliance exposure and audit preparation time

Audit every conversation.
Improve every team.

Move from sampled QA to evidence-backed, AI-powered conversation governance. See Audit Agent in action with your data and your scorecards.

Request a DemoStart a Pilot
OTHER SOLUTIONS
Voice and ChatAI and Human Voice and Chat Audit AgentWhatsapp Chat