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A contact center director runs Monday morning numbers and sees deflection sat at 38 percent for the eighth consecutive month. The Wave 1 release includes three capabilities that can move that needle, and each requires a different team to do real work. The capability is real; the rollout discipline is what decides whether you cross the next threshold.

Self-Service Acceleration

Agentic AI handles deflectable intents — account questions, order status, password help — autonomously. Escalates to human agents only for high-complexity or high-emotion cases. Deflection rates that previously topped out at 30 to 40 percent move higher. The new measurement excludes hangups and abandoned chats, which means the new number is honest where the old one was inflated.

Old metric: any session that did not transfer
New metric: any session where the customer task was completed

Track both for the first quarter so the year-over-year comparison still makes sense.

Assisted Service

For cases that reach humans, the AI surfaces context: customer history, similar resolved cases, recommended next steps, draft responses. Handle time drops; consistency improves. The supervisor view shows a confidence score on each suggestion, which makes coaching focused on the cases where the agent overrode AI guidance and the call still went poorly.

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  <entity name="msdyn_ocsession">
    <attribute name="msdyn_handletime" />
    <attribute name="msdyn_aisuggestionsused" />
    <attribute name="msdyn_csat" />
    <filter>
      <condition attribute="createdon" operator="last-x-days" value="7" />
    </filter>
  </entity>
</fetch>

The correlation of AI suggestions used to CSAT is the most useful coaching signal. Pull it weekly.

Operational Intelligence

Supervisor dashboards surface real-time queue health, agent utilization, intent trends, sentiment shifts. Staffing decisions become data-driven rather than gut-feel. The intent trend tile shows which intents spiked in the last hour, which lets the supervisor pre-staff before the queue overflows.

Intent spikes that warrant action:
- Outage-related intent jumps 3x baseline
- Billing dispute intent climbs in last 30 minutes
- Cancellation intent above 5% of volume

Build automated alerts off these patterns so the supervisor does not have to watch the dashboard continuously.

Implementation Reality

Contact center deployments are complex — integrations with telephony, CRM, workforce management, knowledge base. AI features layer on top. Phase the rollout; do not try to transform everything in one quarter. The standard sequence is self-service first, assisted service second, operational intelligence third.

Quarter 1: agentic self-service for top 3 intents
Quarter 2: add assisted service AI suggestions
Quarter 3: roll out operational intelligence dashboards
Quarter 4: tune thresholds, expand intent coverage

Channel Coverage

Wave 1 covers chat, voice, and SMS. Email is roadmapped but not in the box. If 30 percent of your contact volume is email, the deflection lift only applies to two-thirds of demand. Set the expectation up front so leadership does not extrapolate from chat numbers to email.

Sentiment Detection Caveats

The sentiment detection is good, not perfect. False positives cluster around customers with formal writing styles whose neutral phrasing reads as cold. Validate against your customer base before routing on sentiment alone. A common mitigation is to require a sentiment score plus a behavioral signal (long handle time, repeated transfers) before flagging as escalation.

Workforce Management Integration

The intent trend data should feed your WFM tool. Without that loop, the supervisor sees a spike at 10:30 and the staffing model schedules staff for the historical pattern at 11:00. Integrating intent trends into the half-hourly forecast closes the loop and reduces the staffing drift.

What to do this week

Pick the three intents that drive your highest volume, stand up the agentic self-service in a sandbox for those three, and define the dual measurement on deflection. Build the intent trend dashboard tile and walk it through with the floor supervisor before going live.

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