Bridging the Automation Gap
A 15-page Baker Ing paper on why receivables automation stalls in the “hard tail” of disputes, complex billing and cross-border cases, and how to close the gap with a practical three-layer AR operating model combining systems, a finance CoE, and specialist execution.
Categories 2026, Research & Analysis Tags receivables management, Collections, Automation Maturity, agentic ai, Operating Model, shared services, Bridging the Automation Gap, AR Capability, ai in finance, AR Automation, Escalation, finance transformation, Credit to Cash, Compliance, trade credit, Disputes, E-Invoicing, cross-border collections, Deductions, Credit Management, accounts receivable, Cash Application, DSO, Invoice-to-Cash, order to cash, Finance Automation, Conversational AI, working capital, O2C, Process Mining
Description
Bridging the Automation Gap examines why most finance teams overstate their level of automation, and where the real barriers to end-to-end receivables automation remain.
Built on current benchmarking data and frontline operational evidence, it maps the space between automation rhetoric and actual cash performance.
It covers:
- Automation maturity reality check: Findings from 2025 transformation studies showing 45% of finance teams claiming automation, but only 6% achieving advanced maturity.
- The hard-tail problem: Why 10–20% of invoices drive most of the workload, risk, and anxiety, and how automation typically breaks down across dispute, milestone, and cross-border cases.
- Three-layer operating model: A pragmatic structure for blending systems, finance centres of excellence, and specialist AR support to achieve full-ledger coverage.
- AI and coverage: Where agentic and conversational AI raise efficiency—and why human expertise remains essential at the high-value end of the ledger.
- Implementation roadmap: Steps to align automation, policy, and escalation logic around real-world working-capital outcomes.
For finance leaders, and credit-to-cash professionals, this paper defines what a genuinely automated receivables environment looks like – and how to bridge the gap between promise and practice.
Details
Length: 15 pages
Format: PDF
Published: January 2026
Publisher: Baker Ing












