Alfred for Receivables

Your AI chief of staff
for receivables

Predict · Prevent · Perfect

It learns how you collect, then runs the book on it. Alfred goes after everything genuinely owed and applies every payment the day it lands.

You don’t manage receivables anymore. You approve the exceptions.

Cash outlook · live
today · 09:14
Expected in, this week
$2.4M92% conf.
Projected DSO drift
+3.1 days
Needs you

Vantage Components is 71% of your manufacturing book and predicted to slip 12 days on a $340K invoice. Alfred recommends a pre-emptive call now, before it's overdue. Approve, or let it send the early nudge.

Handled this morning · no action needed
Matched $52K from Meridian Foods to 3 invoices via UTR. Applied same day, ledger updated.
perfect · cash application
Predicted Helios would pay late, drifting from its own baseline. Sent the nudge it usually responds to.
predict + prevent · early warning
Held reminder to Arclight Media. Payment already received, unapplied. Not overdue.
prevent · collections
5 accounts handled · 1 needs you$52K applied today

The Problem

Receivables is a
Cash Flow Problem

Businesses lose sleep over cash that never arrives on time. Even with ERP-based automation, the money is late, the books are wrong, and the forecast can’t be trusted. The CFO is the one who feels it.

$600 billion

is trapped in receivables at the 1,000 largest US companies. This is the single largest source of excess working capital, driven by an 18-day DSO gap between top and median performers.

Industry data

56%

of B2B invoices worldwide are now paid late, despite a decade of ERP automation.

Industry data

60%

of CFOs cite poor cash-flow visibility and forecast accuracy as their single biggest challenge.

Industry data

Predict · Prevent · Perfect

For decades, receivables software has been one just an automation tool for chasing overdue invoices.

Not Only automates The chase
It removes the reason for it

An intelligence layer on top of the finance stack you already run. Three moves: foresee what’s coming, act before it goes wrong, keep the numbers true underneath.

Predict

See the delay before it happens.

Alfred learns each customer’s real payment behaviour and scores every invoice by risk and collectability, then looks weeks ahead at the whole book.

Ranks invoices and customers most likely to delay or default, and surfaces them early.

Forecasts cash-inflow variance, DSO drift, and working-capital gaps weeks in advance.

Reads a customer’s own baseline, not the average, to catch drift before it’s late.

Prevent

Act before it becomes overdue.

Alfred intervenes on your behalf: the right message, to the right customer, at the moment it changes the outcome.

Engages each customer on the tone, timing, and channel they actually respond to.

Recommends the intervention: credit-control change, escalation, invoice-hygiene fix.

Never spends a call on money already received or an invoice already disputed.

Perfect

Keep the cash position true.

Every payment is matched to the right invoice the day it lands, and the liquidity forecast reconciles itself in real time.

Same-day cash-to-invoice matching, with unmatched cash flagged, never forced.

Dashboards that reconcile expected against actual cash, auto-updating the forecast.

Self-learning: match rates and predictions improve as your data accumulates.

The Whole Book

Two halves of the book
Six agents that run them

The money coming in and the money still owed are two different problems, and most teams solve them with two different tools.

Alfred covers both as one intelligence layer over your ledger.

Money coming in

Cash Application

Every payment read, matched, and posted to the ledger the day it lands, so your books are right and your overdue figure is honest.

Money still owed

Collections

Every account predicted, prioritised, and worked before it goes overdue, pursuing everything genuinely owed, on the logic you set.

One book, one brain. The same intelligence that applies your cash knows which accounts to chase. Six agents run it end to end, each owning a piece, together handing you only what needs a human.

Connects
Learns your stack, then keeps it true.

Maps your ERP's schema on day one, fields, reason codes, deduction patterns, reads every invoice, credit note and remittance that arrives, and posts each reconciled entry back.

ERP, CRM and bank data connected in weeks, not quarters.
Intelligent document processing across invoices, credit notes and remittances, no manual keying.
Every write-back same-day, traceable, reversible, and gated by the permissions you set.
See Onboarding & Ledger Sync in detail
Onboarding & Ledger Sync in Alfred for Receivables

Your Business, Understood

Fluent in receivables, Fluent in the way you run Your Books

Out of the box, Alfred is fluent in AR. It knows how to read a slip, price a dispute, sequence a follow-up. It never assumes is how you run. Which accounts get grace, which segments get pressed, what you would never chase.

You shape that in plain English, and the intelligence specific to your business stays yours.

You type

"For manufacturing accounts over $100K, reach out 3 days before the predicted slip, escalate to the owner at 21 days overdue, and never chase anything already disputed."

Plain language. No workflow builder, no consultant, no ticket to change it later. You edit the sentence.

Alfred compiles & runs
Segment: Manufacturing · > $100Kfilter
3 days pre-slip, proactive outreachpredict + prevent
Day 21 overdue, escalate to ownerauto

An auditable graph. Every branch inspectable, every action traceable back to the sentence you wrote.

How It Works

Alfred works for you,
works with you

What the first ninety days look like, and what Alfred does for you.

01

Connect

Reads your finance stack

ERP, CRM and bank data connected in two to four weeks. No warehouse to build, no rip-and-replace. Your ledger and your bank feed are the sufficient pair.

02

Learn

Learns the book, and your rules

A baseline for every customer, from how they actually pay. Then you write the judgement Alfred can’t infer, who gets grace and who gets pressed, in plain English.

03

Propose

Puts the call in front of you

Every recommendation arrives with the full decomposition, because a number a CFO can’t verify is one they’ll override. You accept it or you correct it.

04

Run

Acts, once it’s earned it

Applies cash, sends outreach, escalates. Unattended only on the calls it has already proved. Everything else keeps coming back to you.

10 proposals · 95% accepted

Alfred earns its autonomy. A new call doesn’t run on its own from day one. Alfred proposes it, watches you accept or correct it, and only begins acting unattended once it’s made that call at least ten times and been right at least ninety-five percent of them. Until then, you’re in the loop by default. Alfred won’t act on judgement it hasn’t earned.

Built On Alfred Core

Cash is a view into the whole business, not a silo beside it

Alfred for Receivables runs on the same memory layer as Alfred for Marketing and Sales. A concentration risk in your book can be read against your pipeline; a customer’s payment drift is context the whole organisation already shares. Point tools bolt onto receivables and stop there. Alfred was a decision-intelligence platform first, and receivables is where it turns its judgement on your cash.

Security

Enterprise-grade security

Data isolation

Your financial data is stored in a logically isolated Alfred environment, never shared infrastructure.

Private pattern library

Alfred learns your payment history, decisions, and outcomes into a library only you can see.

No cross-customer training

Your data does not train shared models, shared benchmarks, or shared playbooks sold back to anyone.

Foundational model usage

We use API access to foundational models as inference infrastructure, not to pool your data.

No third-party data sharing

Your financial data is not sold, licensed, or made accessible to third parties for any purpose.

ERP posts under your control

Every write-back to the ledger is traceable, reversible, and gated by the permissions you set.

We believe in strict data isolation . Your data is never used for commercial intelligence or shared training.

FAQ

Questions, answered.

What changes in the work

Does someone still have to post receipts into the ERP?

What happens to payments we can't identify?

Who chases customers for remittance advices now?

Does Alfred write the reminder emails?

Who decides which customers get chased, and when?

Do we still build the ageing and the MIS?

Does Alfred code short payments and deductions, or do we?

Does it handle disputes, or just flag them?

What about promises to pay?

The platform

Does Alfred replace my ERP?

How does Alfred predict a payment delay?

How long does it take to connect to my stack?

Will Alfred act on its own from day one?

Do you train shared models on my financial data?

Get Started

Built for the leaders who
answer for the cash

CFOs, AR heads, collections heads, and the teams between them. Move your receivables from reacting to foreseeing, and let Alfred predict, prevent, and perfect the cash flow underneath.