Manual reconciliation
Someone still lines up transactions across accounts by hand, spreadsheet by spreadsheet, hunting for the one entry that doesn't match. It's slow, and it's where mistakes hide.
Industries
Your close shouldn't take a week, and your team shouldn't spend it re-keying statements.
Reconciliation by hand, audit binders assembled at midnight, onboarding paperwork that stalls a good client. Financial services firms run on process, and process is exactly where AI earns its keep, once it's built around how your team actually works.
20-40%more past-due revenue recovered in the first quarterIllustrative range
Up to 65%fewer AML false positives for the team to chaseIllustrative range
90%+of payments auto-matched to invoices, no manual entryIllustrative range
Where it hurts
The work that quietly eats your best people's week.
None of this is glamorous, and none of it is optional. It's also exactly the kind of repetitive, rules-based work that AI is good at, so your team can get back to judgment calls.
Compliance & audit burden
Assembling the documentation trail for an audit or a regulator request means digging through folders, emails and systems that don't talk to each other, under a deadline.
Slow month-end reporting
Close takes days longer than it should because the numbers live in five systems and someone has to stitch them together by hand before leadership sees anything.
Reactive fraud & collections
Most teams find out an account is delinquent or a payment is fraudulent after the fact, when a collector's call or a chargeback is the first signal, not a warning sign three weeks earlier.
Where AI pays off
Six places AI turns hours of manual work into minutes, and risk into a head start.
We don't start with the technology. We start with the workflow that's slowest, riskiest, or most repetitive, and design AI around it, translated into time and money before we translate it into a build.
01
Predictive delinquency flagging
Accounts get flagged 14-21 days before they go past due, based on patterns in payment history and behavior, not a hunch after the fact.
02
Willingness-to-pay scoring
Collectors spend their calls on accounts that are genuinely at risk, not the ones that always pay a few days late anyway.
03
Straight-through cash application
Incoming payments get matched to the right invoice automatically, so cash posts same day instead of sitting in a suspense account.
04
AML anomaly detection
Models that learn what "normal" looks like for each customer, so a genuine anomaly stands out instead of drowning in a sea of routine alerts.
05
Multi-agent fraud triage
Before a fraud alert reaches a human, it's already been cross-referenced against news, filings and account history, so your analyst opens a case with context, not a blank screen.
06
Meeting notes that update themselves
Client and collections calls get summarized straight into the CRM, with a drafted follow-up ready to send, not a note someone meant to write up later.
See it before it happens
The best collections call is the one you never had to make.
Reactive finance teams find out about a problem when it's already a problem, a bounced payment, a delinquent account, a fraud loss. AI built around your data surfaces the same signals days or weeks earlier, while there's still time to do something useful with them. A person still makes the call, the model just makes sure the right accounts are on the list.
Your systems, connected
No more re-keying the same number into five places.
Core banking, the CRM, the ledger, payments, documents and email each hold part of the picture, and right now a person is the integration layer stitching them together by hand. We connect what you already run so a change in one system shows up everywhere else, correctly, without a second entry.
Built to be safe to say yes to
We take the risk out of adopting AI in a regulated business.
The nervousness is fair, financial data is sensitive and mistakes are costly. Here's how we make sure your rollout isn't one of the horror stories.
Private & auditable
Your data stays yours, with clear guardrails and an audit trail behind every automated decision, not a black box.
Human sign-off on every decision
AI surfaces the flag, the score, the draft. A person on your team decides what happens next, always. Nothing acts on your accounts or your clients unsupervised.
You own everything we build
We're vendor-neutral and hand over the solution, the code and the knowledge. No lock-in, no hostage situations.
Proven small before scaling
Every engagement starts with a small proof-of-concept on your real data, so you see the return before you commit to the full build.
Common questions
What financial services teams ask us first.
Is our data safe?
Privacy, guardrails and an audit trail are built in from the start, not added after the fact. We're vendor-neutral, so we choose the safest fit for your data, and we don't train public models on it. Happy to walk through the specifics on a call.
Do we need to replace our core systems?
No. We build on top of what you already run, core banking, your CRM, your ledger, so nothing gets ripped out and replaced. Book a consultation and we'll map exactly where AI plugs into your current stack.
How fast do we see something working?
Most engagements produce a working proof-of-concept in weeks, on your real data, so you can see the return before committing to a full build. The fastest way to find out what that looks like for your firm is a consultation.
Keep exploring
Related reading
The AI use-case library
Concrete ways AI takes work off your plate, organised by what you are trying to fix.
Browse use casesQuestions to ask first
The questions that reveal where AI will actually pay off, before you spend a thing.
Read the guideSee the numbers
Estimate the hours and money AI could give your team back each year. Free, no signup.
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Start the conversation
Let's find where AI moves the needle for your business.
Book a no-pressure strategy call. We'll talk through your goals, spot the fastest opportunities, and tell you honestly what's worth doing. Not sure where to start? Try the savings calculator first.