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The Orbit blog

Field notes on AI-era growth, deliverability, voice, and messaging for developers and teams building on Orbit by Devotel.

  • Orbit Editorial Team

    Eval guardrails vs generic AI-voice quality checks — why a rubric alone cannot stop a bad call

    Generic AI-voice quality checks score conversations against a rubric and stop there. Eval guardrails close the loop with tenant-authored rule dictionaries, per-agent policy versions, deterministic production sampling, pre-promotion replay, and analytics that show which rule fired. This comparison shows what each ships and what a rubric-only program cannot catch.

    • AI voice agents
    • guardrails
    • evaluation
    • quality assurance
    • comparison
  • Orbit Editorial Team

    Orbit Eval Guardrails vs Generic AI-Voice Quality Checks: The Sad-Path Playbook Buyers Should Grade Vendors On

    Generic AI-voice quality checks grade the average call and stop. Eval guardrails grade the sad paths, the failure modes production traffic finds first. This comparison defines the six checks a quality program needs, maps each to Devotel Orbit's shipped surface, and holds the vendor field to the same rubric.

    • comparison
    • AI voice agents
    • evaluation
    • guardrails
    • quality assurance
    • voice of customer
  • Orbit Editorial Team

    Coaching plans that close the loop — before/after KPI effectiveness

    A QA score tells an agent where they stand. It does not make them better. Devotel Orbit's coaching-plan workspace turns quality findings into a multi-week improvement plan with a defined goal, an outcome on close, and a before/after KPI report that measures whether the coaching actually moved the metric.

    • coaching plans
    • quality assurance
    • supervisor
    • contact center
    • before/after KPI
    • agent development
  • Orbit Editorial Team

    An AI-agent evaluation framework — the rubric, the lens mix, and the gate that turns scores into promotion

    Evaluating an AI agent is not one benchmark but three — black-box scoring of live conversations, simulation against saved failing cases, and dial-plan checks on the telephony path the score hides. This framework assembles the rubric categories, the benchmark types, and the promotion gate into one methodology, grounded in Devotel Orbit's shipped Quality surfaces.

    • AI agents
    • evaluation
    • quality assurance
    • benchmarking
    • voice
  • Orbit Editorial Team

    Contact-center leaderboards that work — beyond the top-10 list

    Most agent QA programs stall after the first quarter because they monitor without a feedback loop. Quality teams that keep improving measure evaluations, recordings, and practice together — and use leaderboard mechanics that credit development, not just raw output. How the surfaces in Devotel Orbit's Quality suite wire that loop together.

    • quality assurance
    • agent gamification
    • leaderboard
    • coaching
    • contact center
  • Orbit Editorial Team

    Practice Studio — AI roleplay training for human agents

    QA on live calls tells you who needs training, but the fix is practice before the next live conversation. Devotel Orbit's Practice Studio lets supervisors author scenarios and agents rehearse against an AI that plays the customer — with an automatic score on every run.

    • agent training
    • quality assurance
    • coaching
    • contact center
    • AI roleplay
  • Orbit Editorial Team

    Call center agent-assist in 2026 — scoring every conversation, not a 2% sample

    Agent-assist used to mean a whisper prompt on 3% of calls. In 2026 it means a quality verdict on every conversation. Here is how scoring-every-call economics change the QA program, what a workable rubric looks like, and where Devotel Orbit runs the loop natively.

    • agent assist
    • quality assurance
    • contact center
    • conversation scoring
    • call center QA

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Blog — Orbit by Devotel