Customer & ATM Operations
Dispute Resolution Agent
Resolve disputes with evidence assembled, not negotiation from scratch.
The business problem
>10% ops efficiency on dispute resolution
Disputes stall because each party assembles facts separately. Negotiation starts before everyone agrees on what happened.
What we deploy
Dispute Resolution Agent
Cross-party evidence packs with divergence surfaced without picking a side, for ATM, BPO, and operational dispute queues.
How this agent runs
Every agent follows the same operating loop on your stack: audit the evidence, decide with confidence scores, execute with human approval, and record results back to your systems.
Audit
Full coverage on the transactions and documents you choose: contracts, invoices, dispatches, disputes.
Decide
Confidence-scored recommendations with counterfactuals, tax feasibility, and policy rules applied first.
Execute
Human-in-the-loop for consequential actions. Agents prepare; your team approves.
Record
Clean results posted back to your ERP, WMS, or operational systems with a full audit trail.
What we need from you
Data and systems
- Sample dispute queues with journals, slips, or document bundles
- Business rules, SLA tiers, and routing policies per queue
- Read-only access or secure file drops from core ops systems
Typical timeline
Evidence automation live on one queue in 8 to 12 weeks. Additional queues and dispute types roll in after baseline proof.
8 to 12 weeks on your exports and operational data. A defensible outcome number before you commit to rollout. We agree the baseline and success metric before deployment starts.
Key capabilities
Cross-party evidence packs with divergences surfaced neutrally
Timeline reconstruction from journals, slips, and correspondence
Analyst-ready summary without advocating for either side
How we deploy it
8 to 12 weeks on your exports and operational data. A defensible outcome number before you commit to rollout. Same operating model on every agent: scope, deploy, measure, then scale or hand off.
Scope
Agree one outcome, baseline KPI, and the exports or systems the agent will read.
Deploy
Agent live on your ERP, WMS, or operational files within the engagement window.
Measure
Track results against the baseline with named transactions and audit trails.
Scale
Expand to adjacent modules or run independently. You own the code from day one.
Good fit if
- ATM, BPO, or vendor disputes reopen because evidence was incomplete
- Resolution time dominates customer or partner satisfaction scores
- Teams pick sides instead of aligning on facts first
Production module in the field
ATM Dispute Resolution
Case studies, module depth, and technical FAQs for the platform this agent runs on.
Frequently asked questions
What types of disputes does it support?+
ATM, BPO, and operational dispute queues where multiple parties submit conflicting evidence and analysts spend time assembling facts before negotiation.
Does it pick a side?+
No. It surfaces divergences and assembles cross-party evidence packs without advocating for either party, so humans negotiate from facts, not from scratch.
How is this different from ATM Dispute Evidence Agent?+
ATM Dispute Evidence focuses on journal and slip interpretation for ATM networks. Dispute Resolution Agent generalizes cross-party evidence assembly for broader operational dispute types.
Can both parties see the same evidence pack?+
Yes. The goal is a neutral timeline and divergence summary both sides can reference before escalation.
Does it shorten time to resolution?+
Teams report faster turnaround when facts are assembled upfront instead of during back-and-forth negotiation.
Related agents in this area
ATM Dispute Evidence Agent
Read, cross-check, and score ATM dispute evidence in seconds, not hours.
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Workflow Triage Agent
Classify document-heavy queues before they reach a human.
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Insurance Claims Document Agent
Turn claim documents into structured decisions, not backlog.
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Ready to scope this agent?
8 to 12 weeks on your exports and operational data. A defensible outcome number before you commit to rollout.