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The standard for custom AI in call center QA auditing and sales coaching.

We design, build, and deploy tailored AI systems for operations, sales, and customer teams with enterprise-grade delivery from strategy through production.

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How we work, recent projects, and featured systems

Companies we've worked with

GoodLeap logo
Northrop logo
Stormwind logo
Westlake logo
GoodLeap logo
Northrop logo
Stormwind logo
Westlake logo
GoodLeap logo
Northrop logo
Stormwind logo
Westlake logo
GoodLeap logo
Northrop logo
Stormwind logo
Westlake logo

How we work

A proven delivery process designed for lean teams: validate quickly, deploy safely, and continuously improve quality and cost.

01

Discovery + baseline

We map your workflow, data constraints, and current performance so pilot impact can be measured clearly.

02

Pilot + instrumentation

We ship quickly with evaluation hooks, human review controls, and operational logging from day one.

03

Production hardening

We implement permissions, fallback paths, and integration points so the system holds up in real operations.

04

Iteration + scale

We continuously improve quality and cost using real call outcomes, QA feedback, and coaching data.

Featured AI system builds

Interactive bare-bones previews of the workflows we deploy most often: call QA auditing and sales call coaching.

AI Call Auditing for QA

Manual call reviews miss coaching opportunities and compliance risks when QA teams can only sample a small share of calls.

Explore our AI call auditing service details

System flow

  1. 01Ingest transcripts
  2. 02Analyze conversation
  3. 03Score against QA rubric
  4. 04Route findings to manager

Stack highlights

Transcript ingestionRubric scoringPolicy checksFlagged momentsSupervisor dashboard

Representative outcomes

Calls auto-reviewed

92%

QA turnaround

3.4x faster

Critical misses

-41%

Representative pilot outcomes; results vary by team/process.

QA rubric explorer

Selected category

Greeting and empathy
Score91/100

Flagged call reasons

  • Strong opening language and clear intent set within the first 20 seconds.
  • Rep acknowledged customer frustration before moving into troubleshooting.

Ready to pressure-test your next AI workflow?

We can help you define and ship a practical pilot with measurable outcomes and clear ownership.