SLICK FOR FINTECH

AI agents ready for fintech on day one.

Eligibility checks and customer care on WhatsApp and inside your app, in your customer's language, at any hour. Live at a regulated digital lender, and measured in production.

Watch a conversation replayBook a demo
MEASURED IN PRODUCTION
61%
of conversations resolved with no human involved
9 s
median reply to a customer message
36%
of demand served outside office hours
Conversation replay

Watch the agents work, turn by turn.

Pick a conversation and press play. The chat runs on the left. On the right you see what the agents did behind each reply: the handoff, the tool calls, the rules that fired, and how long each turn took.

Demo Lender
WhatsApp · 14:07 local time
Hi, can I get the shopping instalment plan?
Hello! I can check that now, it takes about a minute. First, what is your employment status? Employed, self-employed, retired, student or not working?
Eligibility agent · 6.8 s · $0.14
Employed
Thanks. What is your monthly basic salary, before allowances?
Eligibility agent · 5.4 s · $0.11
650
And roughly how much do you pay each month towards existing loans or cards?
Eligibility agent · 5.9 s · $0.11
Around 90
Thank you. I've run the check: the instalment plan isn't available for your profile right now. You may still qualify for our cash financing, which has broader criteria. Shall I check it now? There's no commitment.
Eligibility agent · 9.6 s · $0.27
Yes please
Good news: you pre-qualify for cash financing. This is a pre-approval, and the final amount comes with your offer when you apply. Shall I send you the link to continue in the app?
Eligibility agent · 8.1 s · $0.26
Yes
Here it is: app.demolender.example/continue. It picks up where we left off. How was your experience today? Great, Okay or Poor?
Eligibility agent · 6.2 s · $0.13
Great
Active agent
Eligibility agent
Language
English
Last reply
6.2 s
Cost so far
$1.02
UNDER THE HOOD
STARTConversation opened on WhatsApp, 14:07 local time
LANGDetected language: English
ROUTERouter handed the conversation to the Eligibility agent
REPLYEligibility agent replied in 6.8 s · $0.14
REPLYEligibility agent replied in 5.4 s · $0.11
REPLYEligibility agent replied in 5.9 s · $0.11
TOOLEligibility check · instalment plan → not eligible (product-specific criteria)
RULERejection reason is product-specific → second-product offer allowed
REPLYEligibility agent replied in 9.6 s · $0.27
TOOLEligibility check · cash financing → eligible
DONEVerdict delivered · no human involved
REPLYEligibility agent replied in 8.1 s · $0.26
SURVEYCompletion survey sent
REPLYEligibility agent replied in 6.2 s · $0.13
RATINGCustomer rated the conversation: Great
Message 13 of 13
HIGHLIGHT
The offer fires only where it can help
A second-product check is offered only when the rejection reason does not apply to the broader product. It never fires on a rejection that would fail both.
HIGHLIGHT
A rejection became a pre-approval
In production, 45% of declined customers took this second check, and 9 in 10 of them were eligible.
Outcome
Pre-approved for a second product in the same conversation.
Human involved
None
Agent time
42.0 s across 6 replies
Conversation cost
$1.02

Reconstructed from real production flows. The lender, the names and the details in these chats are fictional. Reply times and costs are indicative.

Proof — live in production

In production at a regulated digital lender.

Volume
200,000+
customer messages answered in one month, across 10,000+ conversations
Autonomy
61%
resolved with no human involved, the same at 3am as at 11am
Coverage
36%
of demand arrived outside office hours, on nights and weekends
Speed
9 s
median reply to a customer message, 31% faster month on month
Satisfaction
82%
rated the service “Great” after the agent filed their ticket
Cost
<$1.50
average cost per conversation, every week since a live model upgrade cut it 44%
Recovered customers

Declined for one product, found eligible for another.

01
Declined
for one product
The verdict comes in the conversation, in the customer's language.
02
45%
took a second check
Offered in the same message, only where it can actually help.
03
9 in 10
were found eligible
Pre-approved in under a minute, before anyone on the lender's team touched it.

An eligible verdict is a pre-approval, not a disbursed loan.

Resolved with no human, by start hour

The 3am customer gets the same outcome as the 11am one, in 16 languages, with about a quarter of conversations in Arabic.

How it works

One front door, a specialist for each job.

Your customers
Where they already are
WhatsApp, your iOS and Android apps through the SDK, or a direct API into your own systems.
Slick agents
A router and its specialists
The router understands the request in the customer's language and hands it to the right specialist, in seconds, at any hour.
Eligibility checkLIVE
Customer care and ticketingLIVE
Loan application, end to end in chatBUILT, LAUNCHING NEXT
Alternative-contact verificationBUILT, LAUNCHING NEXT
Your team
One back office
Conversations, tickets, customer ratings and analytics in one place, with role-based access. Every chat is scored for quality and outcome, which is where the numbers on this page come from.
Security & compliance

Regulator-ready from day one.

SOC 2 · PCI DSS · GDPR
SOC 2 Type I audited controls, PCI DSS scope isolation and GDPR compliance built in.
Your data, your region
Run in-region or fully on-premise behind your firewall. Never used to train third-party models.
Explainable and auditable
Every recommendation shows the data and rules it used, on an audit trail with role-based access.
Human sign-off
Approval gates and confidence thresholds keep a licensed human on every credit decision.
Questions

Fintech FAQs

Where do these numbers come from?

Live production data at a regulated digital lender running Slick agents on WhatsApp and in-app. Resolution is judged by an automated outcome classifier on a one-third sample of conversations. Ratings come from a three-point in-chat survey with 1,400+ responses.

Does Slick make the credit decision?

No. The eligibility agent runs your criteria and returns a pre-approval, not a disbursed loan. Approval gates and confidence thresholds keep a licensed human on every credit decision, and anything credit-sensitive or disputed escalates by rule.

What happens when a customer disputes a rejection?

The agent explains the reason, never argues the decision, and hands the case to a credit officer with the ticket already filed, categorised and the full transcript attached, so the customer does not have to explain it twice.

Which languages are supported?

Customers are served in the language they write in. The live deployment runs in 16 languages, with about a quarter of conversations in Arabic, and resolution rates hold across them.

How does Slick answer policy questions?

Customer care consults the documentation you give it, so customers get your actual policy rather than a generic answer. In production it does so in about one conversation in seven.

Where does it run, and is our data safe?

Run in-region or fully on-premise behind your firewall. Slick is SOC 2 Type I audited with PCI DSS scope isolation and GDPR compliance built in, and your data is never used to train third-party models.

How long does it take to go live?

Bring one flow — your eligibility rules or your support documentation — and we will run it in a demo on your own product. Most deployments connect through WhatsApp, the mobile SDK, or a direct API into your existing systems.

See it live on your data.

Bring one flow, your eligibility rules or your support documentation. We will show you the same replay with your product in it.
Book a demo[email protected]

How this was measured: live production data at a regulated digital lender. Resolution is judged by an automated outcome classifier on a one-third sample. Ratings come from a three-point in-chat survey with 1,400+ responses. An eligible verdict is a pre-approval, not a disbursed loan.