Financial services & collections
AI agents for Financial Services & Collections
Qualify, remind, chase, and review — with a person on every judgement call.
Financial services runs on repetitive contact — qualifying enquiries, reminding customers a payment is due, chasing the document an application is missing, checking that calls followed the script. It is work that has to happen constantly and consistently, and it is exactly the work that slips when a team is stretched. It is also work where a wrong move has a real consequence, which is why the useful automation here is narrow and supervised, not a bot let loose on your book.
The configurations below are examples of how Orkivanta's agents fit that shape of work. Each one starts from an event your systems already record, does one bounded thing, and hands the sensitive part — advice, settlement, verification, a dispute — to a named person. None of them is a published client result; they are patterns you would tune to your own process, rules, and risk appetite.
How an Orkivanta agent works
A bounded workflow loop, not a chatbot.
Every configuration below runs the same shape of work. It starts from a real event in a system you already use, takes a small set of actions you approved in advance, records the decision it made, and hands off to a named person the moment it reaches the edge of its authority. It is not a general assistant you chat with, and it is not left to improvise on your customers.
A real trigger
The loop starts from something your systems already record — a new lead, an overdue invoice, an inbound message, a missed appointment — not from someone opening a chat window.
Approved systems only
It acts through the tools you connected and nothing else: your CRM, your calendar, your order system. It cannot reach for data or send a message outside that boundary.
Visible decisions
Every action is logged with the reason behind it, so a supervisor can read back what happened and why. There is no black box to take on faith.
Human escalation
When a case is ambiguous, sensitive, or outside its rules, it stops and routes the full context to the named owner. Escalation is the design, not a failure.
Example configurations
What we would put into production.
Each card is a worked example, not a published result. Tune the trigger, the rules, and the escalation to your own process.
Lead qualification
- Trigger
- A new loan or insurance enquiry lands from a form, portal, or missed call.
- Automated action
- The Calling Agent calls back within minutes, works the eligibility questions you defined, scores intent 0–100, and books qualified prospects into an adviser's calendar.
- Human owner
- Adviser desk — takes every booked, qualified conversation.
- When not to automate
- It qualifies; it does not advise on products or quote terms. Anything that reads as financial advice is routed to a named specialist or senior owner.
Payment reminders
- Trigger
- An instalment or invoice passes its due date in your ledger.
- Automated action
- The Calling Agent places a polite, frequency-capped reminder call — or hands off to WhatsApp — confirms intent to pay, and logs the promise-to-pay date back to the system.
- Human owner
- Collections supervisor — owns any dispute, hardship, or repeated non-contact.
- When not to automate
- Early-stage reminders only. It will not negotiate settlements, threaten, or handle disputed or sensitive terms — that is not a bounded job for an agent.
Document chase
- Trigger
- An application is missing a KYC document or a signature.
- Automated action
- The Employee Productivity Agent tracks what's outstanding, sends the request, re-checks the folder, and nudges on a schedule until the file is complete or times out to a human.
- Human owner
- Onboarding officer — receives the completed file or the stalled exception.
- When not to automate
- It chases and files; it does not verify identity or approve an application. Verification stays inside your existing approval process.
Call QA review
- Trigger
- A batch of recorded collections or sales calls closes for the day.
- Automated action
- The Data Analysis Agent reads every transcript against your script and conduct rules, flags the calls that need a listen, and shows the exact lines behind each flag.
- Human owner
- QA lead — reviews the flagged sample, not the whole day.
- When not to automate
- It surfaces calls for review; it does not decide misconduct or discipline anyone. That judgement, and the record of it, stays human.
The loop, step by step
Trigger, action, record, handoff.
The trigger is caught
A new enquiry or an overdue instalment appears in your CRM or ledger. The loop starts there — not when someone opens a chat — so nothing waits in a queue for a human to notice it.
One bounded action
The agent does a single defined thing: call back and qualify, place a capped reminder, or chase a missing document. It works only through the systems you connected, and only within the rules you set.
The decision is recorded
It scores the conversation, records the promise-to-pay or the qualification, and logs why it acted. A supervisor reads back a decision with its reasoning, not an unexplained outcome.
It hands off to a person
A dispute, a hardship case, or anything that looks like advice stops the loop and routes to your collections supervisor or a named senior owner with the full context attached.
The agents behind it
Same products, arranged for Financial services.
Voice · Outbound & inbound
AI Voice Dialer
Makes and takes calls, qualifies leads, and scores intent.
See AI Voice DialerOperations · The work between the work
AI Data Entry Agent
Does the re-keying, chasing, and compiling nobody was hired for.
See AI Data Entry AgentAnalytics · Ask your data
AI Data Analyst
Answers questions from your data, and shows its working.
See AI Data AnalystYou stay in control
You set the boundary before anything runs: which numbers it can call and how often, what it is allowed to say, and the exact point at which it must stop and fetch a person. The high-stakes parts of finance — advice, settlement negotiation, identity verification — sit outside that boundary by design, not by accident.
Every action is logged with its reason, and a hard kill-switch stops every line at once. In a high-stakes workflow that audit trail is the point: you can show what the agent did, why it did it, and where a human took over. You set the rules, every agent action is logged, and sensitive cases route to a named person — we do not make promises about your internal rules and controls on your behalf.
When not to automate this
If you need late-stage collections, settlement negotiation, or anything that turns on contested or hardship cases, do not automate the conversation. These agents handle the early, repetitive contact and the paperwork around it. The moment a case becomes contested or sensitive, a trained person should already be holding it — and the agent is built to hand it over, not to press on.
Will it reach production on your workflow?
Score your workflow first, or estimate what it would cost. The readiness test is six questions, the result is immediate, and it will sometimes tell you not to hire us.