Every conversation in the bank,
seen, guided, and completed.
One AI layer across the banking lifecycle. AI Insights reads 100% of your calls and messages, Agent Assist guides your people while the customer is still on the line, and AI Agents complete whole workflows on their own, from account opening to arrears.
Acquire & Onboard
Open the account, finish the application
Service the Everyday
Freeze the card, trace the payment
Protect & Resolve
Capture the dispute, check the disclosure
Collect & Retain
Take the promise to pay, keep the customer
Trusted by financial services and customer operations teams worldwide
The conversation is where banking is decided
Applications stall, service calls repeat, disputes escalate, and arrears grow. All of it inside conversations that almost nobody reviews.
Applications die in silence
Customers abandon account opening and card applications midway. Nobody calls back the same day, and nobody knows which step lost them.
The same five questions, all day
Balances, statements, card freezes, limit changes, and where is my transfer. High volume, low value, and they still queue behind everything else.
Disputes arrive half-captured
Card disputes and complaints reach the back office missing evidence, so the case bounces back to the customer while the regulatory clock keeps running.
Compliance is checked on a sample
Disclosures, consent, vulnerable-customer handling, and complaint categorisation are audited on 1-2% of calls. The other 98% is an assumption.
Arrears go unworked after 5pm
Overdue cards and loans get one attempt in the afternoon, at the hour people do not answer, and no record of what actually happened on the call.
New hires take months to sound like your best
Product rules, pricing, and required wording live in a knowledge base nobody can search while a customer is waiting on the line.
Read every conversation. Guide every agent. Complete the work.
Three products, one interaction layer. Most banks start with one stage and one product, then extend across the lifecycle on the same data.
AI Insights
AI reads 100% of your calls, chats, and messages and turns them into signals: why applications stall, which disputes escalate, which arrears calls actually recover, and whether the required wording was said. QA on all of it, not on a 1-2% sample.
Agent Assist
A live assistant for every banker on the phone. The next-best action, the product rule, the exact disclosure, and the answer from your knowledge base appear as the conversation unfolds, and every interaction is scored automatically afterwards.
AI Agents
Voice and messaging agents that complete whole banking workflows: opening the account, chasing the missing document, freezing the card, taking the promise to pay. Connected to your core and CRM, with a full audit trace on every run and a clean handoff to a person when judgment is needed.
What this has actually delivered
Every figure below comes from a live InfiniteWatch deployment and links to the case study it came from. Where we do not have a number yet, we say so rather than invent one.
Coverage, not sampling
One customer went from reviewing roughly 1,500 interactions a month to all 150,000, across calls, WhatsApp, email, and chat.
From issue to awareness
The same deployment cut the lag on detecting an emerging customer issue from two to four weeks down to under a day.
ROI at three months
Payback in under two months: QA hours redirected to coaching, issues caught early, and a validated path to handing work to agents.
Collection rate on connected calls
From 28.7% to roughly 31% on an outbound programme running 242,000 dials a month, with coverage extended to every compliant calling hour.
Queue time on intake
Down from over four minutes, with 63% of intake calls completed end to end and no human transfer required.
Interactions scored
Quality, compliance, and sentiment on every conversation, human or AI, measured on the same scorecard.
We do not disclose customer details for confidentiality reasons. The results and figures described reflect real deployments; identifying information has been withheld at the client's request.
What changes across the lifecycle
Read the deployments behind the numbers
From sampling to 100% coverage
What changes when every call and message is read, not 2% of them.
Read the case studyOutbound collections: 53 reps to one agent
What automating the payment recovery cycle actually moved.
Read the case studyDrop-offs turned into replay-backed fixes
Three priority engineering tickets from real web sessions, in week one.
Read the case studyBuilt for the controls a bank has to pass
What makes this deployable inside a regulated institution is not the model. It is everything around it.
PII masked before collection
Sensitive customer data is redacted automatically before analysis, so full conversation coverage never costs you privacy.
SOC 2 and GDPR
End-to-end encryption, role-based access, and data residency options, including regional frameworks such as LGPD.
Flexible deployment models
Cloud, hybrid, or on-premises, chosen against your data residency and outsourcing requirements rather than ours.
Full audit trace on every run
Every action an agent takes is logged and traceable, so you can answer what was said, what was decided, and what was done.
AI disclosure and consent, built in
AI identity disclosure, consent-to-record, and vulnerable-customer detection are part of every agent, not a configuration afterthought.
We sit in front of your core
InfiniteWatch does not replace your core banking system, contact center platform, or CRM. It reads from your source of truth and writes back to it. No replatforming.
From connected to live in four to six weeks
Sequenced so the risk is spent before anything reaches a customer.
Listen First
We connect your telephony, chat, and messaging channels and start analysing 100% of conversations. Before anything is automated, you get a baseline of what is really being said, by stage, by queue, and by agent.
Connect Systems, Map the Workflow
Core banking, CRM, card platform, payment processor. We map the workflows in scope, the escalation rules, and the wording your compliance team requires.
Shadow, Then Promote
The agent runs silently against real traffic first. You compare it to your own team on the same scorecard, then promote it to production once the results are clean.
Extend Along the Lifecycle
Start with one stage. The same conversation data and the same scorecards carry into the next, so the second workflow goes live faster than the first.
What people are saying
“Within 24 hours of deployment, we had 10x more visibility into critical conversion blockers that were costing us revenue every single day.”
Aitor Gumiel
VP of Product @ TheGuarantors
“With InfiniteWatch we are adopting AI agents in our sales team the right way. It scores our reps and our AI agents on exactly the same criteria, so we can see where an AI agent already matches our best people and expand automation only where the data proves it.”
Alberto Baselga
CPO/CIO @ Northius
“Our dashboards always told us where the drop-off or friction points were, but we never knew whether it was due to a lack of interest or because they had encountered an issue unknown to us. With InfiniteWatch, within the first week, those drop-offs were turned into three specific tickets—complete with recorded sessions and proposed solutions. We are finally acting on evidence, not assumptions.”
Beatriz Lázaro
Head of Growth @ Aegon
What banking teams ask us first
The questions that come up in every evaluation. Don't see yours? Book a demo and we'll get into it.
Start where it hurts most,
then extend across the lifecycle.
Most banks begin with one stage: arrears, or account opening, or everyday servicing. We connect the channels, show you what is really happening in those conversations, and put the first agent live in four to six weeks.