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Are you ready to see SuccessKPI in action?

Handle time jumped on Tuesday. How long until you know why? In most contact centers, the answer is spread across quality, workforce, and analytics tools. SuccessKPI keeps all of it on one data layer, for your human and AI agents. Bring a real question, and a solutions consultant will answer it in the platform.

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Works with the contact center you already run

Genesys, Amazon Connect, Five9, Talkdesk, LiveVox, Zoom, Cisco Webex, Alvaria, and more. Nothing gets ripped out.

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Build it once, use it everywhere

Topics, playbooks, and scorecards are configured once. Quality, workforce, analytics, and live guidance all reuse them.

Score more than a sample

Most quality programs review 1 to 3% of interactions. Auto-scoring answers the questions you configure on every interaction in scope. The reasoning is visible, and your evaluator applies or overrides. AI agent conversations go through the same form.

Plan on the same data

Forecasts, schedules, and adherence share a schema with transcripts and quality scores. A planner sees handle time move, then the topic that moved it. Adherence refreshes every 15 seconds.

Read every conversation

Name contact drivers from what customers said, not from wrap-up codes. A topic built for reporting also routes calls to evaluation and fires live agent prompts.

Coach the real cause

Last Mile puts headset and network data next to the evaluation score. You’ll know whether it was the agent or the connection before anyone gets coached.

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Built for trust

See AI and human scores side by side. Then close the gap.

Adopting AI scoring shouldn't mean taking it on faith. SuccessKPI puts AI results next to your evaluators' scores in the Reports Library, question by question, so you can see where they agree, find where they don't, and tune the guidance until the numbers track.rnCalibration sessions, evaluator Co-Pilot suggestions and a full dispute workflow keep people in charge of the standard, while AI does the volume.

Fair questions to ask before you book

Our contact center platform already includes WFM and reporting.

Most of it stops at the schedule and routing metrics. We put forecast, adherence, evaluation score, and conversation topic in one query.

Our AI vendor already reports on AI.

That’s the vendor grading its own work. We don’t sell AI agents, so we have no stake in the score.

We tried speech analytics before, and nobody opened the dashboard.

That’s the failure we design around. Each output becomes a column that reports, playbooks, and evaluations use automatically.

My team doesn't trust AI scoring yet.

Reasonable. Every suggested answer shows its reasoning, and a person confirms, adjusts, or overrides it.

Do we have to replace our contact center platform?

No. SuccessKPI reads from the platform you run today and adds a layer on top.