AP Cycle Time Cut from 60 to 20 Hours and 18% Higher Collections for a Printer
18%
Higher monthly collections and DSO reduced by 2.4 days42%
Reduction in billing cycle time (17 days)~$2M
Savings and $10M annual cashflow improvement>75%
Touchless processing, with reduced AP cycle time.The Challenge
Legacy ERP, Fragmented Tools and Low Automation Maturity
The company faced legacy ERP and tool fragmentation: disconnected systems, siloed tools, limited interoperability and inconsistent enterprise workflows. Automation maturity was low, with high-touch AP and AR, document-heavy workflows, manual reconciliations and limited touchless capability.
There were visibility, control and decision gaps, including poor operational visibility, delayed insights, weak exception management and limited predictive intelligence. Compliance, risk and governance were also a challenge, with fraud exposure, duplicate transactions, contract leakage, compliance burden and weak governance controls.
Finally, high operating costs, difficult expansion, inconsistent standardization and an inability to scale through existing tools constrained transformation. Sutherland DBS is leveraging Prodigy.AI, Sphere AI and an Intelligent Automation CoE to redefine the enterprise operating model.
Sutherland Solution
AI-led Finance Built on Prodigy.AI, Sphere.AI and an Intelligent Automation CoE
Powered by Prodigy.AI, Sphere.AI, and a dedicated Intelligent Automation CoE, this advanced finance ecosystem drives end-to-end digital transformation through touchless transaction processing, intelligent document extraction, and predictive analytics.
- Prodigy.AI Suite for AP and AR: An AP invoice processing platform for end-to-end invoice-to-post, and AR for collections, deductions, approvals, segmentation and reporting. Capabilities include touchless AP, automated 2/3-way matching, auto approvals, cash application, and collections workflows.
- Risk, fraud and compliance: Duplicate and fraud detection, supplier and customer risk scoring, contract compliance, credit monitoring and governance.
- Sphere.AI: AI-driven document capture, extraction, classification and validation, plus contract intelligence for automated review, clause comparison and obligation tracking.
- Intelligent Automation CoE: An RPA and analytics-led finance transformation hub covering legacy tool migration, AP, AR and R2R automation, RPA bot development, process mining, and KPI dashboards.
- Predictive analytics: Anomaly detection, payment analytics and collections forecasting.
The Outcome
Faster AP and AR, Stronger Cashflow and ~$2M in Client Savings
AP cycle time fell from 60 to 20 hours, with >75% touchless processing. Cash application cycle time fell from 60 to 20 hours with >65% automated posting, and billing cycle time dropped 42% (17 days).
Monthly collections rose 18% and DSO fell by 2.4 days. Underwritten productivity is 38%, and TCO on expansions fell by 40%.
The client saved about $2.0M by leveraging Prodigy, Robility and Sphere. A cashflow improvement of $10M per year came from purchase standardization, PO coverage, accurate quotes and paper type.
The model moves the client from fragmented, labor-intensive processes to an integrated, AI and automation-led business model, and lays a foundation for a future-state AI and agentic enterprise.
