AI that runs on your data, not a replacement for your systems.
Intelezen unifies the customer data you already hold, then puts AI agents to work across underwriting, collections, servicing and claims. It runs on top of your existing core, LOS and LMS. Nothing gets ripped out.
Your data is everywhere. Your team is doing the joining up.
Records in one system, payments in another, conversations in a third. Every decision, who to lend to, who to contact, which claim to prioritise, waits on someone assembling the picture by hand.
Chasing payments doesn't scale
Contacting every overdue customer by phone costs more than it recovers, and the rules on when and how often you may contact them keep tightening.
Good customers look like risky ones
Limited credit history, self-employed income and irregular cash flow don't fit a traditional score, so sound borrowers get declined next to genuinely risky ones.
Modernising feels like open-heart surgery
Replacing a core platform is slow, costly and risky, so it gets deferred, and the gap widens every year.
The data layer is the product. The agents are what it lets you do.
Most AI tools sit on the surface of your business. Intelezen starts underneath it, unifying the data your decisions depend on, then running agents on a single, current, consented view.
Connect
We integrate with the systems you already run, core, LOS/LMS, policy administration, payment and mandate rails, plus consented external data: account aggregators in India, Consumer Data Right in Australia, and bank statements in both.
Decide
Affordability, obligations, risk signals, hardship indicators and propensity are assessed continuously, not only at application.
Automate
Agents onboard, assess, reconcile, collect, service and resolve, escalating to your team wherever judgement is required.
Escalate
Anything sensitive or unusual reaches a person, with the full history attached. The institution decides where that line sits.
One platform, adopted from the bottom up. Start where the payback is fastest. Add more when you're ready, never before.
See core capabilitiesBuilt to be adopted, not endured.
Data layer first
AI agents are only as good as what they know. We unify your data first, which is why everything above it works better.
No rip-and-replace
We run on top of the systems you have today. Modernise later, module by module, at your pace.
Conduct is a setting, not an afterthought
Contact windows, channels, tone and escalation are configured to your obligations, and evidenced.
Built for institutions your size
Enterprise-grade capability, sized for teams without a hundred-person technology function.
Agents for the work that never stops.
Six areas, running on the same unified data layer, start with one, add more when you're ready.
Data & decisioning
Brings scattered customer information into one view, then works out affordability, risk and what to offer next. The foundation everything else sits on.
Onboarding & verification
Signs up new customers digitally: collects documents, checks identity, confirms income, records consent.
Underwriting
Assesses loan applications, reads bank statements, spots inconsistencies, prepares the credit assessment for a human to approve.
Collections & hardship
Contacts customers who have missed payments, agrees repayment arrangements within policy, and identifies genuine financial difficulty early.
Servicing & support
Answers routine customer questions around the clock, balances, statements, payment changes, and passes complex cases to staff.
Claims & complaints
Guides customers through lodging a claim, keeps them updated automatically, and tracks complaints against required response times.
Two markets. Built for each, not translated between them.
India and Australia each have their own data systems and rules. We built for both, rather than translating one into the other.
NBFCs & lenders
Lending companies that aren't banks, including those serving small businesses and lower-income borrowers. Cash-flow data, not just bureau, the account-aggregator framework makes consented financial data available at the point of decision, right where credit-bureau data is thinnest.
Underwriting support, pull bureau and account-aggregator data, read statements, flag anomalies, draft the credit view.
Cash-flow assessment, assess self-employed and limited-history borrowers on real income behaviour.
Reconciliation, match payments and ledger movements, and surface only the true exceptions.
Collections, segmented, in-language, policy-bound recovery with arrangement capture and full contact logs.
Mandate optimisation, present debits when they are most likely to succeed, reducing avoidable failures.
Early warning, identify accounts drifting toward default while there is still time to act.
Insurers & non-bank lenders
General, life and health insurers who need to handle claims quickly and resolve complaints within required timeframes, plus non-bank lenders and mutuals competing with the majors on service, not scale.
Insurers
Guided first notice of loss over chat or voice, with evidence captured at entry.
Proactive claim status updates, so status-chasing stops filling your queue.
Complaints tracked against internal dispute-resolution timeframes.
Vulnerability signals surfaced to a person early, not buried in a transcript.
Non-bank lenders & mutuals
Open-banking-led assessment from consented CDR and statement data.
Servicing around the clock, payout figures, statements, payment changes.
Collections with hardship built in, routed to your hardship team, not your queue.
Reconciliation that matches direct-debit and ledger activity automatically.
You don't have to choose between doing nothing and ripping out your core.
Two common paths, and where Intelezen sits between them.
| Capability | Legacy core replacement | Point-solution chatbots | Intelezen |
|---|---|---|---|
| Works with your existing systems | No, replaces them | Partial, bolted on top | Yes, runs on top, day one |
| Time to first value | 12–24 month programme | Weeks, but shallow | Weeks, on your real data |
| Data foundation | Rebuilt from scratch | None, single purpose | Unified data layer first |
| Human escalation | Depends on configuration | Rare, hard to configure | Built in, configurable |
| Built for your regulator | Sometimes | Rarely a focus | Consent-first, auditable, evidenced |
See it on your own data.
Tell us where the pain is, recovery, decisioning, servicing or claims, and we'll show you what it looks like running on your systems.