DiscvrAI

Operations efficiency for COOs

Cut document reading and dispute assembly without scaling ops headcount.

COOs run queues where humans read before routing: ATM disputes, insurance claims, trade documents, and BPO evidence bundles. DiscvrAI deploys agents that interpret, cross-check, and route by confidence with humans confirming consequential actions.

>10%

target ops efficiency on dispute handling

Seconds

evidence cross-check vs hours of analyst reading

8 to 12 weeks

first queue live with human-in-the-loop

What's blocking COOs today

Dispute backlog correlates with analyst headcount and shift quality varies.
Document-heavy queues land on humans for classification before real decisioning starts.
Claims and trade ops scale with document volume, not shipment or policy volume.
ATM, BPO, and vendor disputes reopen because evidence was incomplete the first time.
SLA breaches happen in triage and assembly, not in complex judgment calls.
Automation proposals fail because black-box routing cannot be audited.

What changes with agents on your stack

Today

With DiscvrAI

Analysts read journals, slips, and scans manually for every ATM dispute.

ATM Dispute Evidence Agent interprets and cross-checks in seconds with confidence routing.

KYC and onboarding queues classified by humans before routing.

Workflow Triage Agent applies policy rules and routes by confidence tier.

Claims officers re-key PDF and scan data into the CMS.

Claims Document Agent extracts, validates against policy, and routes low-confidence cases with evidence.

Disputes negotiated before parties agree on facts.

Dispute Resolution Agent assembles neutral cross-party evidence packs first.

How we deploy it

8 to 12 weeks on your exports and operational data. A defensible outcome number before you commit to rollout.

Step 1

Scope

Agree one outcome, baseline KPI, and the exports or systems the agent will read.

Step 2

Deploy

Agent live on your ERP, WMS, or operational files within the engagement window.

Step 3

Measure

Track results against the baseline with named transactions and audit trails.

Step 4

Scale

Expand to adjacent modules or run independently. You own the code from day one.

Questions from buyers in this role

Does the agent decide outcomes automatically?+

No for consequential actions. Agents prepare evidence and recommendations; your operations team approves outcomes.

Can we start with one queue?+

Yes. Most COO engagements pilot one queue (ATM disputes, claims, or triage), prove baseline SLAs, then expand.

How is auditability handled?+

Every recommendation links to source documents and policy rules applied. Full lineage for regulators and internal audit.

Does this work with our existing CMS or core banking stack?+

Yes. DiscvrAI layers on top via secure file drops or read-only access; we do not rip and replace core systems.

What efficiency should we target in year one?+

Live ATM deployments target over 10% ops efficiency on dispute handling, with analysts focused on exceptions not reading.

Scope this outcome for COO / Head of Operations

8 to 12 weeks on your exports and operational data. A defensible outcome number before you commit to rollout.