Oct 14, 2026
An aged ledger gives a CFO a balance. It does not, on its own, show where the strongest improvement opportunity may sit, why cash remains outstanding or what the business should do first.
AI-powered Cash Opportunity Report turns an agreed receivables data set into a structured 12-page decision document. Invevo AI brings together the relevant account and transaction context, identifies supported areas worth investigating and recommends a practical starting point.
The report is evidence-led, not a promise of cash. Supplied data, assumptions, calculations and limitations remain visible so the CFO can judge both the opportunity and the confidence behind it.
The report is designed for CFOs, Credit Managers, Heads of Credit and senior accounts receivable or collections leaders who need to decide where an O2C improvement should begin.
It is most useful when the business has receivables data but lacks a single, evidence-led view of the priorities across cash, capacity, cost, risk and control.
The analysis starts after Invevo receives the agreed data set in a usable form. The exact requirement depends on the supported scope, but it will normally include customer and open-transaction data, relevant dates, values and payment terms. Other approved fields may add context where they are available.
Nothing is inferred about data availability or quality. The scope, fields, exclusions and limitations should be agreed before analysis begins.
Invevo AI assesses the available account and transaction context, prepares the information relevant to the decision and summarises what matters. It can then recommend the next investigation or action within the supported capability.
Every finding must remain traceable to supplied data or a clearly labelled assumption. Where a value is modelled, the report should show the calculation, period and exclusions. Where the data cannot support a conclusion, the report should say so.
The report is structured to help an executive move from the overall receivables position to a defensible first decision.
· An executive summary of the areas worth investigating.
· The agreed data scope, method, assumptions and limitations.
· A view of potential opportunity across cash, capacity, cost, risk and control.
· Findings linked to the four Opportunity Features.
· The recommended first conversation, supported by the relevant account or transaction context.
· A clear distinction between illustrative, indicative, modelled and observed information.
The report uses four Opportunity Features as the commercial starting points:
· Early-stage collections, including collections, disputes and promises.
· Cash allocation.
· Credit risk.
· Late-stage collections.
Data visibility and aggregation support every feature through relevant views, reporting and workflows. They are horizontal capabilities, not a fifth Opportunity Feature.
Invevo prepares the report within 24 hours of receiving the agreed data set in a usable form. That timing applies only to report preparation, not implementation, operational activation or cash recovery.
The findings session turns the report into a decision. The customer and Invevo review the evidence, confirm the relevant Opportunity Feature and agree the scope, responsibilities, approval controls and measures of value.
Operational AI can make recommendations, but users approve decisions initially. Accuracy, reliability, exceptions and outcomes should be measured before the organisation considers increasing autonomy.
The first improvement has a baseline and a clear review point. Wider expansion follows only when the evidence supports it.
Share an agreed receivables data set and receive a 12-page AI-powered Cash Opportunity Report showing where the evidence points, how each finding was reached and where to start.
