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Fit Check™

Customer experience systems

Customer experience operating systems for the AI era.

Cadence Lab helps organizations find the operational causes of customer friction, rebuild the workflows around them, and create the conditions for responsible AI adoption.

Start a fit checkReview the diagnostic offers
Diagnose
Customer friction and lifecycle risk
Rebuild
CRM and cross-functional workflows
Prepare
Responsible AI adoption and measurement

Diagnostic offers

Start with the decision the organization needs to make.

Each diagnostic turns a consequential operating problem into a bounded review, a shared evidence base, and a practical next step. The goal is clarity before a larger investment—not a longer list of capabilities.

  1. CX Systems Diagnostic

    Recognizable trigger
    Customer friction crosses teams, systems, and handoffs, but no one can see the full operating problem.
    What we examine
    Journey breakdowns, ownership, CRM signals, workflow dependencies, and the decisions shaping service performance.
    Decision or output
    A prioritized systems map and a practical decision brief for the highest-consequence improvements.
    Review CX Systems Diagnostic

  2. Lifecycle Risk Review

    Recognizable trigger
    Retention, adoption, or expansion problems appear late, after the warning signs have already moved across teams.
    What we examine
    Lifecycle stages, risk signals, handoffs, intervention rules, and the data used to identify preventable loss.
    Decision or output
    A lifecycle risk model that clarifies where to intervene, who owns the response, and what to measure.
    Review Lifecycle Risk Review

  3. CRM Workflow Audit

    Recognizable trigger
    The CRM records activity but does not reliably guide work, surface accountability, or support customer decisions.
    What we examine
    Data quality, process design, automation, decision rights, reporting, and the gap between configured and actual work.
    Decision or output
    A sequenced remediation plan for cleaner signals, clearer ownership, and more usable workflows.
    Review CRM Workflow Audit

  4. AI Service Readiness Review

    Recognizable trigger
    An AI initiative has executive support, but its workflow, governance, adoption conditions, or success measures remain unclear.
    What we examine
    Use-case fit, process readiness, human oversight, data dependencies, trust, adoption risk, and measurement design.
    Decision or output
    A readiness decision with constraints, required operating changes, and a responsible path to implementation.
    Review AI Service Readiness Review

What the work prevents

Customer problems compound when the operating system stays unclear.

The visible issue is often a symptom. The underlying loss comes from disconnected ownership, unreliable signals, and workflows that do not support the decision teams are expected to make.

  • Handoffs hide the real failure

    A customer issue moves between teams while ownership, context, and urgency degrade at every transition.

  • Technology lands before the workflow

    A tool is deployed into a process that still lacks decision rights, usable data, and a clear reason for people to adopt it.

  • Activity replaces evidence

    Teams can report launches, training, and usage without showing whether customer outcomes or operating performance improved.

Operating model

Diagnosis comes before workflow change.

Cadence Lab connects strategy to the way work is owned, performed, governed, and measured. Technology supports that system; it does not substitute for it.

  1. Diagnose the operating environment

    Trace customer friction through workflows, systems, ownership, data, and frontline constraints before prescribing a solution.

  2. Align the decisions

    Define the outcome, accountable owners, decision rights, and practical limits that the operating model must support.

  3. Rebuild the workflow

    Turn strategy into a usable sequence of work, with clear handoffs, CRM signals, governance, and human judgment.

  4. Measure and adapt

    Connect adoption and operating signals to customer and business outcomes, then refine the system as evidence changes.

Engagement fit

The work requires operational readiness.

A productive engagement needs a meaningful operating problem, an accountable sponsor, and permission to improve how work actually happens. The fit check is designed to establish that before either side commits to more.

Strong fit

Conditions that support useful change

  • Customer-facing friction materially affects retention, revenue, service quality, or team capacity.
  • The problem spans functions, systems, or decision layers and cannot be solved by one team in isolation.
  • Leadership can sponsor cross-functional decisions and assign accountable owners.
  • The organization is willing to change workflows instead of placing new technology on top of a broken process.

Limited fit

Conditions that limit the work

  • The primary goal is to install a tool without changing ownership, decisions, or frontline work.
  • The initiative is isolated within one technical team while business and customer operations remain outside the process.
  • No sponsor can resolve competing priorities or make cross-functional workflow decisions.
  • Success is defined only by delivery activity rather than adoption, operating performance, or customer impact.

Fit check

Find the right next step before you fund the wrong one.

Share the operating problem, the teams and systems involved, and the outcome you need to improve. Cadence Lab will assess whether a diagnostic engagement is appropriate and tell you directly if it is not.

Start a fit check