Credit Marshall Dispute Intelligence (CMDI) is a dispute-intelligence system with a CRM built around it—not a CRM with AI bolted on. From the first credit report through every dispute, response, and verified outcome, CMDI keeps the evidence, history, strategy, and next action connected. It is credit repair software for businesses that need more than client records and letter templates. CMDI is designed to read credit-report data, organize source-backed factual issues, keep each account's dispute history connected, analyze incoming responses, and prepare the next account-specific workflow for human review.
Traditional CRM functions still matter: clients, tasks, communications, documents, billing, team access, portals, mailing, and reporting. CMDI adds a dispute-intelligence layer so the report, factual findings, recipient routing, letters, mailed history, responses, and later rounds stay connected to the same account history.
CMDI imports supported credit reports, reconstructs the credit file, separates derogatory from non-derogatory information, compares bureau reporting, and organizes factual observations for review instead of starting with a generic dispute template.
Each account keeps its own round history. A response tied to one account advances that account and its connected parties rather than forcing unrelated accounts into the same next-round batch.
Uploaded bureau, creditor, collector, or servicer responses can be read, matched to the underlying account and prior dispute, and evaluated for what was answered, what remains unresolved, and what should be reviewed next.
The workflow can distinguish a reporting creditor from a third-party responder and prepare the connected bureau, furnisher, or collector follow-up paths that relate to that account.
Credit Deputy helps users understand cases and, on eligible plans, answer operational questions and invoke safe deterministic workflow actions while preserving human approval for factual decisions, final letters, and mailing.
Proof Chain, Case Replay, mailing history, responses, and outcome intelligence are designed to make it easier to understand why a recommendation exists and what happened before it.
CMDI is built around a continuous case record. The goal is not to automate judgment away; it is to automate routine processing, surface exceptions, and keep the source evidence attached to the action a user is being asked to approve.
PDF and supported scan/image intake, credit-file reconstruction, derogatory account classification, cross-bureau comparison, and evidence review.
Factual findings, bureau and direct-dispute workflows, recipient routing, account-number masking, human review, print, and mailing readiness.
Response parsing, account matching, responder identification, unresolved-request analysis, isolated account progression, and next-round letter preparation.
Client files, tasks, communications, client portal, document uploads, staff roles, workflow status, and mobile access.
Mail-or-print workflow, mailing history, subscription and customer-payment tools, automation, communications, CRM migration, and plan-based integrations.
Guardian integrity checks, Proof Chain, What Changed, Strategy Genome, furnisher behavior, Pattern Watch, Agency Learning, readiness intelligence, and Case Replay according to plan.
Seven connected systems extend the verified case pipeline without removing human approval. Availability varies by plan, and scenario/pattern outputs are decision support rather than guarantees.
Deterministic pre-mail QA before Shadow Bureau. It can clean internal metadata and flag unsupported, incomplete, or unsafe letter conditions, but cannot invent facts, approve, print, or mail.
Chained SHA-256 case-integrity manifests help verify whether records included in a seal still match, without storing raw identity-document contents or full letter bodies in the manifest.
Official-source change detection creates human-review alerts. Regulatory signals do not silently rewrite contracts, disclosures, billing controls, legal guidance, or dispute rules.
Plan-based specialty consumer-report analysis extends the existing CMDI network for banking, tenant, employment, telecom/utilities, alternative-lending, identity/fraud, medical, and configured specialty agencies.
Connect an authorized referral to readiness work and back to the same partner when a milestone is reached. Partner sharing is consent-controlled and privacy-minimized.
Enterprise scenario planning uses recorded CMDI workload/payment data and user assumptions to model capacity pressure. It is not a revenue, staffing, retention, lending, or dispute-outcome guarantee.
Connect CRM source attribution and successful recorded payments with user-entered ad spend to compare revenue and ROAS without sending sensitive credit-report data to ad platforms.
A dispute is not only the letter that gets printed. It is the relationship between what a source reports, what is inconsistent or unsupported, what was previously disputed, who received it, what came back, what changed afterward, and what remains appropriate for the user to review. CMDI is built to preserve that chain instead of treating each letter as an isolated document.
CMDI includes CRM functions, but that is not the category it is built to lead. CMDI is Dispute Intelligence: the CRM exists around a connected case record that links report facts, evidence, disputes, responses, next actions, and verified outcomes.
Both. The published plans are structured for solo credit professionals, growing teams, and larger agencies, with different client capacity, team seats, AI usage, and intelligence features.
No. CMDI can automate routine deterministic processing, but consequential factual decisions, final dispute content, and mailing remain subject to the platform's human-approval controls.
No. CMDI is business software and decision support. It does not guarantee deletion, correction, credit-score changes, financing, underwriting decisions, legal outcomes, or a particular consumer result.
The 1-Client Challenge lets an eligible business run one authorized client through CMDI without migrating an entire book of business first.
Use an authorized client file and compare the full loop: report, evidence, reasoning, dispute, response, and next supported move. See whether the software understands enough of the case to remove manual work without removing your judgment.
