Customer Experience Diagnostic Services
Compare four diagnostics for customer experience systems, lifecycle risk, CRM workflows, and AI service readiness.
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CX Systems Diagnostic
Find the source of customer friction across teams, systems, ownership, and handoffs.
Lifecycle Risk Review
Learn which customer signals matter, who should respond, and what to improve before renewal risk becomes urgent.
CRM Workflow Audit
Find where CRM workflows, data, automation, and ownership get in the way of customer work.
AI Service Readiness Review
Review workflow, data, human oversight, governance, adoption, and measurement before you build.
Free CX and AI Tools
Use six free tools to evaluate AI use cases, map handoffs, sort feedback, review CRM data, and plan service recovery.
AI Use Case Stress Test
Identify readiness gaps, ownership questions, failure points, and the smallest useful AI test.
CX Handoff Mapper
Map a customer journey across people, teams, and systems to find weak handoffs and missing owners.
AI Evaluation Builder
Turn an AI task and its failure modes into a rubric, test cases, reviewer rules, and stop conditions.
Customer Feedback Signal Sorter
Sort anonymized customer comments into recurring themes, mixed signals, and one-off observations.
CRM Data Health Sampler
Review a CSV sample for missing values, duplicates, inconsistent formats, and fields that may not support the workflow.
Service Recovery Planner
Turn a customer failure into a recovery plan with clear ownership, timing, communication, and follow-up.
Customer Experience Foundations
Help teams agree on what customers need, who owns each step, and what to fix first.
Digital Customer Experiences
Design accessible websites, portals, apps, and digital services around real customer tasks.
On-Site Customer Experience Design
Connect arrival, physical space, frontline service, queues, accessibility, safety, and follow-up.
AI Customer Experience Design
Design AI experiences with clear roles, trustworthy context, human judgment, safe recovery, and measurable outcomes.
User Adoption Fatigue
Find why people verify, correct, or bypass a workflow, then fix the work before asking for more adoption.
Dirty CRM Data and Siloed Pipelines
Find why CRM data, pipeline stages, integrations, and reports stay unreliable.
Executive Misalignment
Turn competing priorities into a clear decision, accountable ownership, and a practical operating sequence.
Salesforce Tracing
Follow customer work through Salesforce records, automation, ownership, handoffs, and outcomes.
Cross-Functional Handoffs
Find where customer context, ownership, or urgency gets lost between teams and systems.
Service Escalation Maps
Map the conditions, ownership, authority, context, and response needed before a service issue becomes a failure.
AI-to-Human Routing
Design routing around clear boundaries, safe pauses, useful context, human authority, and accountable outcomes.
AI Copilot Design
Bring trusted context into real workflows, support better decisions, and keep people accountable for the outcome.
PII Scrubbing for AI Workflows
Reduce unnecessary personal data in AI workflows with clear boundaries, tested transformations, and accountable review.
AI Hallucination and Variance Testing
Trace unreliable AI outputs across sources, retrieval, models, tools, and human review.
Prompt Injection Controls
Reduce prompt injection risk with clear trust boundaries, limited permissions, enforceable policy, and adversarial testing.
Fit Check
Find out whether your customer experience, CRM, or AI initiative is ready for a useful next step.
About Matt Rabah and Cadence Lab
Meet Cadence Lab founder Matt Rabah and learn how he approaches customer experience, CRM workflow, and AI problems.
Contact Matt Rabah
Share a customer experience, lifecycle risk, CRM workflow, or AI readiness problem and get a direct response.
When AI creates more work for the people using it
Learn how to spot AI workflows that increase review time, weaken trust, and push teams back toward manual work.
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