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Platform

Your data. Your terms.

Dispute Dojo deploys in your cloud, ours, or a hybrid of both, with role-based access, audit trails on every action, and 100% human review before any dispute is submitted. Security that fits your policy, not the other way around.

Access & Audit

Pending approvals

3

Active roles

6

Audit events today

42

Auto-submissions

0

Audit trailLast hour
CHB-4836Evidence package approvedRecovery Analyst
CHB-4834Case opened for reviewRecovery Analyst
CHB-4816Case viewedOwner
Role scoped to DowntownYour admin
REF-0288Export requestedOwner
AI drafted 2 evidence packages · queued for Recovery Analyst approval
Deployment models

Deploy where your policy requires.

Three deployment models for three different risk profiles. Each has a real trade-off — here's the honest version, so your security team isn't the last to know.

Full control

Your cloud

Dispute Dojo runs inside your own cloud account. Your network policies, your security tooling, and your access rules apply end to end.

  • Data never leaves your environment
  • Your security toolchain applies throughout
  • Best fit for teams with existing cloud governance

The trade-off

Your infrastructure team shares the operational load — standing up and maintaining the environment sits on your side of the line.

Fastest path

Our cloud

Hosted and managed by Dispute Dojo. We run the infrastructure, patching, backups, and monitoring. You connect and go.

  • Encryption in transit and at rest
  • Managed backups and recovery
  • Fast setup with no engineering lift on your side

The trade-off

Your data lives in our environment. We walk your security team through exactly how it's handled and protected before you commit.

Split the difference

Hybrid

Sensitive data and credentials stay in your environment. Dispute Dojo runs the application and AI layers across a documented boundary.

  • Data residency where your policy requires it
  • Documented split of responsibilities
  • Built for operators with strict data policies

The trade-off

A shared responsibility model takes coordination. The boundary is documented, but each team owns its side of it.

See how it connects to your systems
Data ownership & access

Yours on the way in. Yours on the way out.

Ownership and access rules that hold from the day you connect to the day you leave, if you ever do.

Your data stays yours

Your operational data remains your property. We don't sell it or share it between customers. Your data isn't used to train models — ours or anyone else's — unless you explicitly agree to it. The default is no.

Role-based access

Permissions scoped by role, location, and brand. Store managers see their store, regional leads see their region, owners see everything.

Least privilege by default

Access starts at the minimum needed to do the job. Elevated permissions are granted explicitly by your admin — never assumed from a title.

Audit trails

Every data access, admin change, and case action is logged: who did what, when, and to which case. Available for review whenever you ask.

Approval workflows

Sensitive actions route through explicit approval before anything executes, and every approval is recorded with who signed off and when.

Offboarding takes your data with you

No long-term contracts, and no hostage data. If you leave, you take a full export with you, and we delete what remains on request.

Governance

AI that drafts. People who decide.

The AI layer inside Dispute Dojo is governed, not autonomous. It assembles, flags, and drafts. A Recovery Analyst signs off before anything reaches a platform.

100% human review before submission

Every dispute is reviewed by a Recovery Analyst before it goes to a platform. We do not run automated dispute submissions — no exceptions.

AI is assistive, not autonomous

AI assembles evidence packages and flags patterns. It drafts; it never decides. A person approves everything that leaves the building.

Reviewed and traceable

AI output carries the data it was built from, so a Recovery Analyst can check the work. Anything that doesn't meet the bar goes back for review, not out the door.

Budgeted by design

AI spend runs against defined budgets with monitoring, so model costs stay predictable as you add locations — no runaway automation.

Review Queue
Awaiting Recovery Analyst reviewToday
CHB-4833Awaiting approval

DoorDash — missing item claim

CHB-4834In analyst review

Uber Eats — quality complaint

REF-0295Evidence assembling

DoorDash — order issue adjustment

CHB-4836Approved · submitting

Uber Eats — missing item claim

Nothing is submitted without a Recovery Analyst's approval

Deployment

Your cloud, ours, or hybrid

Access

Role-based, least privilege

Audit

Every action logged

Dispute review

100% human

Your data

Stays yours — in and out

Questions

Frequently asked.

Get started

Bring your security team.

Get a demo and we'll walk through deployment options, access controls, and data handling for your environment — before you commit to anything.