Use cases
Find your desk. See what changes on it.
Twenty-one desks across financial institutions, manufacturing, and services. Each shows how the work runs today, what reaches the desk with the system, and who still decides.
- Financial institutions & fintechModelsSLMsAgentic AI
TodayCalls reach customers who would have paid anyway, while the ones who cannot keep up need a plan, not ten calls.
With the systemHardship told apart from won't-pay, with the plan's arithmetic on file.
Collector decides
- ManufacturingModelsSLMsAgentic AI
TodayInspectors check every part under a lamp; night shift misses more, and each nonconformance report takes half a day.
With the systemA draft nonconformance report with its evidence, ready for a hold-or-release call.
Quality engineer decides
- ServicesSLMsAgentic AI
Contact-center speech: quality and compliance on every call
TodayEvery call is recorded, quality hears two in a hundred, and off-the-shelf speech-to-text mangles your product names.
With the systemEvery call checked for quality and compliance; the coaching point in context.
Team lead decides
No use case matches this choice.
Financial institutions & fintech
Lending and credit risk
- ModelsSLMsAgentic AI
TodayReferred files wait while analysts rebuild the firm from four systems and last year's committee notes.
With the systemOne file with the rating, its reasons, and the authority level.
Credit manager decides
- Models
Application scorecard for new-to-bank applicants
TodayMost applicants are new to you, the bureau file is thin, and your only outcomes are for the people you approved.
With the systemA credit scoring model beside today's rules: a scorecard, with the default probability by band.
Credit policy committee decides
- ModelsAgentic AI
Behavioral score and limit management
TodayLimits are set once at application; good customers outgrow them and quietly deteriorating ones keep full, undrawn lines.
With the systemLimit actions queued with their evidence, inside the committee's matrix.
Underwriter decides
- ModelsSLMsAgentic AI
Early warning on the loan book
TodayThe borrower is current; other banks are already cutting its limits, and you see its quarter only at renewal.
With the systemA file, not a spreadsheet: signals checked in parallel and gathered in one place.
Watch-list committee decides
- SLMs
Corporate credit memo and financial statement analysis
TodayAnalysts spread statements and write the memo by hand, in a fixed format, for every renewal.
With the systemStatements spread with their sources, and the figures to check flagged.
Credit analyst decides
- Models
Risk-based pricing with price response
TodayYour price covers risk and capital, yet you lose good customers over a few basis points and discount those who would have signed anyway.
With the systemA price grid that shows how each segment responds to a different rate.
Pricing committee decides
- ModelsSLMsAgentic AI
TodayCalls reach customers who would have paid anyway, while the ones who cannot keep up need a plan, not ten calls.
With the systemHardship told apart from won't-pay, with the plan's arithmetic on file.
Collector decides
Fraud and financial crime
- ModelsAgentic AI
TodayMost alerts are false, and each one still takes an analyst real time to rule out.
With the systemEach alert arrives with one note; sanctions hits stay with a person.
Fraud analyst decides
Insurance
- ModelsSLMsAgentic AI
TodaySimple claims wait in the same queue as hard ones, and customers wait with them.
With the systemSimple claims take the fast track through your own process; the system never declines a claim.
Claims adjuster decides
Leasing, payments, and fintech
- ModelsSLMsAgentic AI
TodayA dealer sends a proforma invoice; you must know if the lessee is good, the price is right, and the machine is not already financed elsewhere.
With the systemThe lessee, the price, and other financing checked in one file.
Credit committee decides
- ModelsSLMsAgentic AI
Merchant onboarding and monitoring
TodayNew merchants sign up daily; one merchant set up to defraud or launder can cost more than many good ones earn.
With the systemEach new merchant checked against your policy before anyone signs. Nothing is automatic.
Onboarding officer decides
Customer and operations
- ModelsSLMs
TodayEvery customer gets the same campaign, and the relationship manager does not know what changed for this one.
With the systemOne offer for this customer, with its reason; nothing is sent automatically.
Relationship manager decides
- SLMsAgentic AI
TodayA new circular arrives, and nobody knows which sections of your policies it changes.
With the systemEach policy section marked changed or not, with the reason on record.
Compliance officer decides
- SLMs
TodayThousands of messages a day land in one queue; misroutes miss legal deadlines.
With the systemEach message routed to the desk that owns it; the model never closes one.
Head of operations decides
Manufacturing
- ModelsSLMsAgentic AI
Maintenance on the bottleneck line
TodayThe press fails on the night shift; its vibration had changed weeks before.
With the systemRising stop risk flagged, with a draft work order and a proposed slot.
Maintenance planner decides
- ModelsSLMsAgentic AI
TodayInspectors check every part under a lamp; night shift misses more, and each nonconformance report takes half a day.
With the systemA draft nonconformance report with its evidence, ready for a hold-or-release call.
Quality engineer decides
- Models
TodayScrap is found at the end of the line, and nobody knows which setting caused it.
With the systemThe setting most likely behind the scrap, with a window to test.
Process engineer decides
- SLMsAgentic AI
TodayContainment is due tomorrow, and the evidence is in five systems.
With the systemEvidence from five systems in one 8D draft.
Quality engineer decides
Services
- SLMsAgentic AI
Contact-center speech: quality and compliance on every call
TodayEvery call is recorded, quality hears two in a hundred, and off-the-shelf speech-to-text mangles your product names.
With the systemEvery call checked for quality and compliance; the coaching point in context.
Team lead decides
- SLMsAgentic AI
TodayNew call-center agents take months to be productive and put customers on hold to search the knowledge base.
With the systemAnswers drafted while the customer is on the line.
Call-center agent decides
- SLMsAgentic AI
TodayOne team answers written complaints for several clients, each with its own rules, tone, and deadlines.
With the systemEach reply drafted in the client's own rules and tone.
Team lead decides
These use cases describe systems we build, written from how these desks work. They are not past client projects: no client names, no results.
Equalize the gap.
Bring one decision. Leave knowing the first step.
A short description of the decision is enough; no confidential records.
https://eqlx.ai/use-cases · Printed copy; the website is the current version.