Turn high-volume manual review into an automated, confidence-scored queue.
For cash management companies, banks, BPOs and payment processors running document-heavy manual queues.
Who it's for
Cash management companies, banks, BPOs and payment processors running high-volume, document- and evidence-heavy manual queues — the queue/case-management teams doing this work day to day report into COOs and Heads of Operations.
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The shift
High-volume manual document and evidence review with no systematic way to tell which cases are safe to automate and which genuinely need a human decision — so every case gets manual treatment by default.
A large share of manual workload gets reclassified as automation-ready or assisted-review, so the operations team focuses on genuine exceptions and final decisions rather than evidence reading.
How it works
An AI layer that reads and interprets documents and evidence, cross-checks them against source-of-truth records, and classifies each case with a confidence score — automation-ready, assisted-review, or manual-exception — before routing it to the right queue.
- Step 1
Read & Interpret
An AI layer reads and interprets documents and evidence, structured or semi-structured.
- Step 2
Cross-Check Against Source of Truth
Evidence is cross-checked against your source-of-truth records.
- Step 3
Confidence Scoring
Each case is classified with a confidence score — automation-ready, assisted-review, or manual-exception.
- Step 4
Route to the Right Queue
Cases move to the right queue based on that score; human review stays in the loop above the threshold you set.
Trust & governance
Human-in-the-loop by design
Nothing is auto-closed without a defined threshold; human review remains in the loop above it.
Confidence-scored and auditable
Every classification carries a confidence score and reasoning, not a black-box decision.
You set the threshold
Only cases above a threshold your team defines are auto-processed — the bar for automation is yours to set.
Tiered routing, not blanket automation
Automation-ready cases proceed without per-case review by default; assisted-review and manual-exception cases are always routed to a person before closure.
Built for real-world documents
Reads structured and semi-structured documents, logs, images and reports — including sources that are password-protected or inconsistently formatted.
Refocuses your team, doesn't replace it
Reclassifies work so your operations team spends time on genuine exceptions and final decisions, not routine evidence reading.
Related case studies
Cash Management
A leading cash management company ran high-volume manual evidence review across its case queue.
A large share of manual workload was reclassified as automation-ready or assisted-review.
BPO / Insurance Claims
A BPO servicing insurance claims had no systematic way to tell which claims needed a human decision.
The claims team now spends its time on genuine exceptions instead of routine evidence reading.
Payments
A payments processor's reconciliation queue grew manually with transaction volume.
Reconciliation queues are now triaged automatically, with only genuine exceptions reaching an analyst.
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Frequently asked questions
Does this replace our operations team?+
No — it reclassifies work so your team spends its time on genuine exceptions instead of routine evidence reading.
How is a 'automation-ready' case decided?+
Each case gets a confidence score based on cross-checking the evidence against your source-of-truth records; only cases above a threshold you set are auto-processed.
What kinds of documents/evidence can it read?+
Structured and semi-structured documents, logs, images and reports — including sources that are password-protected or inconsistently formatted.
Is this the same technology used in ATM Dispute Resolution or AP Automation?+
Yes — those are specialised applications of this same evidence-reading and confidence-scoring engine, configured for ATM disputes and accounts payable respectively.
What happens to cases that don't meet the automation threshold?+
They're classified as assisted-review or manual-exception and routed to a person, arriving with the relevant evidence already cross-referenced.
Does someone review every automated decision afterward?+
Automation-ready cases proceed without a per-case manual review by default; assisted-review and manual-exception cases are always routed to a person before closure.
What volume of cases can this handle?+
It's built for high-volume queues — tell us your approximate monthly case volume and we'll scope accordingly.
Which industries use this today?+
Cash management companies, banks, BPOs and payment processors running document- and evidence-heavy manual queues.