Customer & ATM Operations
Workflow Triage Agent
Classify document-heavy queues before they reach a human.
Target outcome: Faster queue clearance
The business problem
>10% ops efficiency on dispute resolution
Document-heavy queues land on humans first. Teams classify, re-label, and route work that should be sorted before it hits the inbox.
What we deploy
Workflow Triage Agent
Reads evidence, applies business rules, and routes by confidence: automation-ready, assisted review, or exception only.
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
Read evidence and apply business rules before human review
Route by confidence: auto-ready, assisted, or exception-only
Configurable policies per queue and SLA tier
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
KYC, onboarding, or ops queues share the same manual triage pattern
SLA breaches happen in classification, not complex decisioning
You want automation but cannot trust black-box routing
Production module in the field
Workflow Automation
Case studies, module depth, and technical FAQs for the platform this agent runs on.
Frequently asked questions
Any document-heavy operational queue (KYC packs, onboarding documents, evidence bundles) where humans currently read before routing.
High-confidence cases move to automation-ready paths, medium to assisted review, and low-confidence or policy exceptions go straight to a human with evidence attached.
Yes. Triage rules reflect your policies and SLA tiers, not a generic classifier.
Historical queue samples help, but we start from your policy documents and a representative backlog, then refine with your team's feedback.
Most single-queue pilots run in 8 to 12 weeks from sample documents to production routing with human oversight.
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8 to 12 weeks on your exports and operational data. A defensible outcome number before you commit to rollout.