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Diagnostic

CX Systems Diagnostic

Find the source of customer friction across teams, systems, ownership, and handoffs.

Diagnostic

Lifecycle Risk Review

Learn which customer signals matter, who should respond, and what to improve before renewal risk becomes urgent.

Diagnostic

CRM Workflow Audit

Find where CRM workflows, data, automation, and ownership get in the way of customer work.

Free toolsBrowse all six

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.

Free tool

AI Use Case Stress Test

Identify readiness gaps, ownership questions, failure points, and the smallest useful AI test.

Free tool

CX Handoff Mapper

Map a customer journey across people, teams, and systems to find weak handoffs and missing owners.

Free tool

AI Evaluation Builder

Turn an AI task and its failure modes into a rubric, test cases, reviewer rules, and stop conditions.

Free tool

CRM Data Health Sampler

Review a CSV sample for missing values, duplicates, inconsistent formats, and fields that may not support the workflow.

Free tool

Service Recovery Planner

Turn a customer failure into a recovery plan with clear ownership, timing, communication, and follow-up.

Experience design

AI Customer Experience Design

Design AI experiences with clear roles, trustworthy context, human judgment, safe recovery, and measurable outcomes.

Customer problem

User Adoption Fatigue

Find why people verify, correct, or bypass a workflow, then fix the work before asking for more adoption.

Customer problem

Executive Misalignment

Turn competing priorities into a clear decision, accountable ownership, and a practical operating sequence.

Workflow guide

Salesforce Tracing

Follow customer work through Salesforce records, automation, ownership, handoffs, and outcomes.

Workflow guide

Cross-Functional Handoffs

Find where customer context, ownership, or urgency gets lost between teams and systems.

Workflow guide

Service Escalation Maps

Map the conditions, ownership, authority, context, and response needed before a service issue becomes a failure.

Workflow guide

AI-to-Human Routing

Design routing around clear boundaries, safe pauses, useful context, human authority, and accountable outcomes.

AI tooling

AI Copilot Design

Bring trusted context into real workflows, support better decisions, and keep people accountable for the outcome.

AI tooling

PII Scrubbing for AI Workflows

Reduce unnecessary personal data in AI workflows with clear boundaries, tested transformations, and accountable review.

AI tooling

Prompt Injection Controls

Reduce prompt injection risk with clear trust boundaries, limited permissions, enforceable policy, and adversarial testing.

Start here

Fit Check

Find out whether your customer experience, CRM, or AI initiative is ready for a useful next step.

Contact

Contact Matt Rabah

Share a customer experience, lifecycle risk, CRM workflow, or AI readiness problem and get a direct response.

Solution · Siloed and dirty CRM pipelines

Your CRM is only as clean as the work behind it.

A cleanup can remove duplicates. It can't fix unclear definitions, weak handoffs, or fields no one uses. Fix how the data gets created, moved, and owned, and the records have a chance to stay clean.

The problem

A cleanup won't fix a workflow that keeps making bad data.

A complete record isn't always a useful one. People need to share its meaning, trust where it came from, know who can fix it, and understand which decision it supports.

Without that, teams create their own version of the truth. Integrations spread the disagreement faster, and cleanup projects repair symptoms that the workflow recreates.

Visible signals

Look for the moment someone stops trusting the record.

The warning isn't an empty field. It's the extra work people do before they're willing to act.

  1. 01

    One customer has several identities

    Accounts, contacts, cases, and product records don't connect into one reliable view.

  2. 02

    Pipeline stages change meaning by team

    The same status can mean different evidence, risk, or next steps depending on who entered it.

  3. 03

    The fields are complete, but the story is missing

    The record passes validation while the customer's history, urgency, or next decision stays unclear.

  4. 04

    Every report needs an explanation

    Leaders reconcile exports, spreadsheets, and local definitions before they trust the number.

Why bad data returnsReview definitions, workflows, ownership, and incentives that recreate unreliable records.Explore causes

Operating causes

Find what keeps putting bad data back in.

Duplicates matter. So do the definitions, workflows, and ownership rules that create them again after every cleanup.

01

Purpose

What decision is this data meant to support?

Fields pile up when no one can explain who uses them, when, or why.

02

Definitions

Does the value mean the same thing to every team?

Words like customer, stage, source, risk, and complete often hide different rules.

03

Workflow

Does useful data get created while the work happens?

Quality falls when entry happens later, repeats known information, or adds work without value.

04

Ownership

Who fixes the record when systems or teams disagree?

Records decay when no one owns creation, acceptance, correction, and exceptions across boundaries.

What evidence mattersCompare configured records with the spreadsheets, notes, and checks people actually trust.Explore evidence

Evidence

Compare the system you configured with the one people trust.

Inspect the records and the work around them. The spreadsheet, private note, or manual check often explains what the CRM is missing.

Evidence principle

Start with a real decision and the records behind it. A broad quality score can hide the one missing signal that blocks action.

01

Real decisions

Start with the decisions teams can't make confidently and identify the signals each one needs.

02

Records and definitions

Inspect representative records, relationships, field rules, and the meaning teams give each value.

03

Workflow and ownership

Follow how data is created, handed off, approved, corrected, and maintained as the work moves.

04

Systems and workarounds

Trace integrations, match rules, reports, spreadsheets, private notes, corrections, and customer impact.

How to repair itFix and test one important decision path before expanding the cleanup.Explore sequence

Repair sequence

Fix one decision path before cleaning everything.

A smaller scope makes the cause visible and gives you a result you can test before expanding.

  1. 01

    Bound

    Choose one decision that matters.

    Name the workflow, roles, required signals, current failure, and expected outcome.

  2. 02

    Trace

    Follow the signal end to end.

    Check its source, definition, record, movement, owner, use, correction, and outcome.

  3. 03

    Repair

    Fix what keeps creating bad data.

    Change definitions, workflow, fields, matching, ownership, integration, or reporting.

  4. 04

    Sustain

    Keep the signal useful.

    Review disputes, corrections, outcomes, ownership, and changing business rules.

Diagnostic paths

Start where the unreliable signal does the most harm.

The right diagnostic depends on whether the problem is inside the CRM, across the customer operating system, or hiding lifecycle risk.

01

CRM Workflow Audit

Use this when the problem sits in CRM records, fields, automation, reporting, or workflow.

Review the diagnostic

02

CX Systems Diagnostic

Use this when unreliable data is part of a broader customer, ownership, or handoff problem.

Review the diagnostic

03

Lifecycle Risk Review

Use this when weak signals hide onboarding drift, low adoption, or renewal risk.

Review the diagnostic

Fit

Use this path when unreliable data blocks coordinated work.

This work helps when leaders can change definitions, workflow, ownership, configuration, and system behavior. It isn't a bulk deduplication or migration service.

Start a fit check