Before Automation
60 days DSO
Manual decisions, inconsistent execution. Measured in your own records.
Automation executes your collection process. It doesn't tell you whether that process is optimal. BIX investigates which Accounts Receivable and Collections decisions could work better — and what that is worth. We start with a free, expert-led assessment for founding design partners.
Better decisions. More value.
Or explore the Opportunity Simulator ↓ Ranges, not promises.
Automation made collections faster and more consistent. But the rules it executes — when to remind, whom to call, when to escalate — were set once and rarely tested. The real question is what a better strategy would deliver.
60 days DSO
Manual decisions, inconsistent execution. Measured in your own records.
52 days DSO
Configured rules, executed faster. Your baseline — but the strategy itself is untested.
45? days DSO
What a better strategy might deliver. Unknown until it is tested against your data — that is what BIX is designed to do.
An expert-led assessment of your collections decisions, supported by our analytical tools. Up to three organisations; no assessment fee and no obligation to buy future BIX software.
DSO, payment behaviour, ageing, customer segments and how your current process actually runs — including what the data can and cannot support.
Where reminder timing, segmentation, prioritisation, escalation, exceptions and collector workload may be holding back cash.
Transparent ranges for DSO, working capital, financing cost and — where data allows — effort, bad debt and disputes.
A management report with graded evidence, prioritised hypotheses and a proposed controlled pilot to validate them.
An excerpt of the management report, using an invented company. Every finding states whether it is an observed fact, a hypothesis, a scenario assumption or a validated outcome.
Decision Opportunity Assessment · Accounts Receivable & Collections
Three testable decision changes could reduce DSO by 1.2–5.0 days (central 3.0). None is proven. We recommend a 12-week controlled pilot of H1 and H2.
Combined DSO opportunity
1.2–5.0 days
Central 3.0 · overlap discounted
Working capital, one-time
€0.6–2.5M
Central €1.48M
Financing benefit a year
€36–148k
At 6%, before costs
Evidence grades
ABBC
4 hypotheses ranked
Proven so far
None yet
Requires the pilot
Observed fact Where the 58 days of DSO come from:
Ageing of open receivables
| Not yet due | 64% |
| 1–30 days overdue | 22% |
| 31–60 days overdue | 8% |
| 61–90 days overdue | 3% |
| Over 90 days | 3% |
Observations
Reminder timing
H1 · Grade ADispute handling
H2 · Grade BCollection prioritisation
H3 · Grade BPayment terms
H4 · Grade C · to testReminder channel
No measurable differenceEscalation strategy
Insufficient dataCollector workload
Constraint: +0.4 FTE for H1Customer experience
Guardrail in pilotScale 0–3 days. Euros use the simulator formulas: €180M ÷ 365 = €493,151 per DSO day; financing benefit = working capital × 6%. Ranges overlap and are not additive.
Test
H1 + H2 together
Design
~1,400 mid-size accounts, randomised 50/50 by customer
Duration
12 weeks (about two payment cycles)
Primary metric
Days past due at payment
Guardrails
Dispute rate, complaints, collector hours
Decision rule
Adopt if central effect ≥ 1 day and the 90% interval excludes zero
Explore specific collection decisions — reminder timing, collector prioritisation and dispute handling — or use the simple DSO calculator. The arithmetic is exact; every improvement is your own, editable assumption.
You assumed a 7-day reduction — from 52 to 45 days, 13% of your current DSO.
The simulator cannot tell you whether this is realistic. Answering that requires your operational data and the investigation below.
Rebuild DSO from invoice and payment history, by segment, to establish the true starting point.
Find where days accumulate — before first contact, in disputes, in particular customer groups.
Model different timing, prioritisation and escalation rules against historical payment behaviour to estimate a realistic range.
Introduce a controlled change and measure actual results against a comparison group before scaling.
Past collection decisions were not random. A credible analysis accounts for selection bias and uncertainty before claiming cause and effect.
Faster cash can cost collector time or customer goodwill. A better strategy shows what it gains and what it gives up.
Start from hypotheses and validate them with suitable analysis and, where feasible, controlled tests.
Each hypothesis receives an evidence grade (A, B or C). The intended outcome is a range of achievable improvement, with stated assumptions — not a single promised number.
Talk it through with us: which of these decisions matter in your organisation, and what it would take to test them. Your scenario can be attached to your request below.
BIX complements your AR software, BI team and advisers rather than replacing them. Each can do valuable analysis; BIX is built specifically around independent, decision-focused investigation, transparent evidence and controlled experiments.
Executes your rules: reminders, workflows, worklists.
Shows performance and predicts which customers are likely to pay late.
Asks whether the rules themselves should change, estimates what that could be worth, and designs a test to prove it.
BIX is meant to work alongside these tools and use their output — not to replace them.
| AR software analytics | Internal BI teams | Consulting assessments | BIX | |
|---|---|---|---|---|
| Typical focus | Running and monitoring the collection process; risk scores and worklists | Reliable reporting across the business | Broad working-capital or process improvement | Whether specific collection decisions should change |
| Typical evidence | Predictive models and dashboards | Descriptive analysis; deeper studies when capacity allows | Interviews, benchmarks and expert judgement, often with data analysis | Every finding graded A/B/C; causal claims only where the data supports them |
| Testing impact | Depends on the vendor and the set-up | Possible when designed in | Varies by engagement | A controlled pilot with metrics and a decision rule agreed upfront |
| Relationship to execution | Part of the execution system | Part of your organisation | External; may include implementation | Independent of the system that executes the decisions |
| Consider when | You need to run collections efficiently | You need trusted reporting | You need a broad transformation programme | You want to know which collection rules are worth changing — and prove it |
BIX is built around three ideas. They are at different stages: some can be demonstrated today, some are being validated with design partners, and some are the long-term vision.
Propose specific changes to collection rules, with every assumption visible, and measure the result in a controlled pilot.
Look at what your current rules actually do — who gets contacted when, which cases escalate, where disputes stall — and whether the evidence supports them.
Translate a change in collection decisions into DSO, working capital and financing cost, with ranges rather than promises.
Customers retain ownership of their information. Access, permitted use, retention and deletion are agreed before any sensitive data is transferred.
Company names, logos, results or case studies are only used with separate written permission.
Our forms ask for contact details only. Assessment data is exchanged later, by an agreed protected method.
Twenty minutes, no preparation and no data. We'll talk about how your collection decisions are made today, where you suspect days are lost, and whether a deeper look would be worth it.
Ready for more? The free Founding Design Partner assessment