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Fit Check™

Customer experience systems

Customer experience operating systems for the AI era.

Cadence Lab helps organizations resolve onboarding drift, quiet accounts, unreliable CRM signals, and service handoffs, then build the operating conditions required for responsible AI adoption.

Start a fit checkReview the diagnostic offers
Diagnose
Friction, lifecycle risk, and signal gaps
Rebuild
Ownership, handoffs, and CRM workflows
Prepare
Human oversight, adoption, and measurement

Diagnostic offers

Choose the operating problem before choosing the technology.

Each diagnostic starts with one consequential operating question, builds a shared evidence base, and ends with a practical decision about what should happen next.

  1. CX Systems Diagnostic

    Recognizable trigger
    Customers repeat themselves, issues cross team boundaries, and leaders receive conflicting explanations for where the experience is breaking.
    What we examine
    Customer and team touchpoints, handoffs, ownership, CRM signals, service rules, and the systems influencing the experience.
    Decision or output
    A friction map, ownership analysis, and a sequenced decision brief for the operating changes that matter first.
    Review CX Systems Diagnostic

  2. Lifecycle Risk Review

    Recognizable trigger
    Onboarding drifts, accounts go quiet, adoption weakens, or renewal risk becomes visible after the useful intervention window has narrowed.
    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 defines which signals should trigger action, when, and by whom.
    Review Lifecycle Risk Review

  3. CRM Workflow Audit

    Recognizable trigger
    The CRM contains activity and dashboards, but teams still rely on workarounds and do not trust it to guide coordinated customer action.
    What we examine
    Data quality, process design, automation, decision rights, reporting, and the gap between configured and actual work.
    Decision or output
    A current-state workflow map and prioritized remediation plan for cleaner signals, clearer ownership, and more usable work.
    Review CRM Workflow Audit

  4. AI Service Readiness Review

    Recognizable trigger
    An AI use case has momentum, but the supporting workflow, human oversight, adoption conditions, or success measures remain unresolved.
    What we examine
    Use-case fit, process readiness, human oversight, data dependencies, trust, adoption risk, and measurement design.
    Decision or output
    A readiness decision, human-in-the-loop model, required guardrails, and a responsible path to implementation.
    Review AI Service Readiness Review

What the work prevents

Visible customer problems usually begin as operating failures.

Churn, escalations, CRM distrust, and stalled AI adoption are late signals. The earlier failure is usually unclear ownership, missing context, or a workflow that cannot support the required decision.

  • Context decays at every handoff

    The customer repeats the story while ownership, history, and urgency weaken as work moves between teams.

  • Risk appears after the intervention window

    Teams can see the churn, escalation, or failed adoption event, but not the earlier signals that could have changed the outcome.

  • AI accelerates an unresolved process

    Automation increases volume without resolving weak data, unclear decision rights, or the points where human judgment is required.

Operating model

Let the evidence determine the recommendation.

Cadence Lab connects strategy to the way work is owned, performed, governed, and measured. Technology should support that operating model and make the work easier to manage.

  1. Diagnose the operating environment

    Trace the customer problem through teams, systems, data, decisions, and frontline work before prescribing a solution.

  2. Align the decisions

    Define the outcome, accountable owners, decision rights, constraints, and sequence of changes before implementation begins.

  3. Rebuild the workflow

    Translate the decision into usable handoffs, CRM requirements, governance, team practices, and appropriate AI support.

  4. Measure and adapt

    Connect customer, workflow, adoption, and performance signals to the change, then refine the system as evidence develops.

Engagement fit

Useful change requires permission to change the work.

A productive engagement needs a consequential operating problem, an accountable sponsor, and room to change ownership, decisions, or workflows. The fit check establishes that before either side commits to more.

Strong fit

Conditions that support useful change

  • Customer 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 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 measures stop at delivery activity and leave out adoption, operating performance, and customer impact.

Fit check

Decide whether the problem is ready for a diagnostic.

Share the operating problem, the teams and systems involved, and the outcome that needs to change. Cadence Lab will assess fit, recommend the most useful starting point, and tell you directly when a diagnostic is not the right next step.

Start a fit check