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AIOPS.D™ Autonomous Source to Pay

AIOPS.D™

AIOPS.D™

Autonomous Source to Pay

A suite of integrated microsolutions covering the entire supplier and contract management life cycle.

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What is Autonomous Source to Pay (S2P)?

AIOPS.D™ Autonomous Source to Pay delivers a suite of integrated microsolutions covering the entire supplier and contract management life cycle.

From invoicing to requisitions and beyond, the solutions provide self-healing data, cross-enterprise data matching, and autonomous processing with human-in-the-loop augmentation to provide end-to-end business transformation.

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AIOPS.D™ S2P Potential Benefits

AIOPS.D™ S2P leverages intelligent automation across procurement, invoicing, contracting, and other core procedures to drive significant reductions in processing costs, increased process accuracy and timeliness, and improved supplier relations.

With AIOPS.D™, procurement teams can minimize daily manual tasks, while real-time data enhances efficiency and enables error-free decision-making, ensuring compliance with policies. Improved supplier relationships and sustainable practices further streamline operations, promoting eco-friendly procurement and strategic value.

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40-50%

Reduction in indirect procurement operations costs through AI-based touchless requisition processing

20-30%

Reduction in invoice processing costs by eliminating manual data entry and validation

Reduction in error-related costs via enhanced controls to detect and prevent errors, duplicate payments, and fraud.

60-70%

Average reduction in PR-to-PO cycle time

AIOPS.D™ S2P Microsolutions in Action

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AIOPS.D™ Autonomous Procurement Execution enables automated procurement requisition creation and validation by digitizing the entire purchase requisition (PR) to purchase order (PO) process. With guided buying and AI/machine learning (ML)-based capabilities, this microsolution helps to create, auto-approve, validate, accept, or reject requisitions with minimal human intervention

Key features:

  • Single platform for multiple enterprise resource planning (ERP) validations
  • Guided buying process to provide recommended catalog options
  • Conversational AI-enabled purchasing process
  • Autonomous rule validation with user recommendation on actions

Value delivered:

  • Up to 50% reduction in indirect procurement operations costs
  • 60–70% average reduction in PR-to-PO cycle time
  • Increased productivity, reduced errors, and improved spend policy compliance

AIOPS.D™ Autonomous Accounts Payable (AP) Invoice Management microsolution leverages GenAI and ML models to automate invoice processing. Instead of manually reviewing each invoice and entering data into ERP, AIOPS.D autonomously reviews and validates invoices by identifying patterns, relationships, and anomalies in data sets.

Key features:

  • Intelligent extraction of invoice data
  • Real-time data integration to view and rectify invoice exceptions
  • Automated multi-level approval workflows
  • ML models to validate invoice details for accuracy and completeness

Value delivered:

  • Up to 5x increase in processing efficiency through embedded controls
  • 20–30% reduction in invoice processing costs, eliminating manual data entries
  • AI/ML detection of duplicate payments, data entry errors, and anomalies

AIOPS.D™ Category Management microsolution is powered by AI/ML and GenAI. The solution streamlines category management with real-time market insights and facilitates efficient tracking of strategies and plans. It leverages autonomous processes for rate card analysis and stakeholder relationship management, ensuring informed decision-making and effective collaboration.

Key features:

  • Workflow and automation improve efficiency and productivity for category managers
  • GenAI provides strategic insights and recommendations
  • NLP aids in automated extraction and analysis of supplier rate cards
  • AI algorithms standardize rate cards by matching equivalent roles
  • GenAI summarizes real-time market insights for specific suppliers

Value delivered:

  • Boosts category managers’ efficiency and productivity
  • Automates complex processes with AI-generated recommendations
  • Provides comprehensive view of category performance and market dynamics
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One platform. One approach

With AIOPS.D™, everything needed to move from automated to autonomous is in one place. All microsolutions are hosted on a unified platform, allowing organizations to select the optimal mix of as-a-service solutions to achieve process autonomy without logging into multiple systems to access them.

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Explore Additional AIOPS.D™ Microsolution Offerings

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Autonomous Quote to Cash
Billing operations process solutions for all enable end-to-end revenue management for scalable, flexible, and autonomous billing and invoicing with real-time customer insights.

What is autonomous quote to cash?

AIOPS.D™ autonomous quote to cash spans the entire quote-to-cash cycle process, using AI and ML to analyze historical pricing constructs to create accurate quotes for increased customer acceptance rates. It enables end-to-end revenue and subscription management with scalable, flexible, and autonomous billing and invoicing with real-time customer insights.

The AIOPS.D™ advantage

With AIOPS.D™ managing revenues and subscriptions in real time, enterprises will achieve greater billing accuracy, improved financial results, and higher customer satisfaction.

AI-fueled solutions perform autonomous pricing and quote generation as well as curating subscription activations, invoicing, and management. Drive renewals and increase customer retention and satisfaction with personalized, flexible subscription packages.

Why AIOPS.D™

AIOPS.D™ autonomous quote to cash helps the workforce generate insights for better decision-making, using ML to enhance the procure-to-pay life cycle from historical pricing analysis to root-cause assessments—all in real time.

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Autonomous Data Operations
Data management process assets allow operational data to become an immutable record, bringing intelligent, trusted, and validated data governance to the organization.

What is autonomous data operations?

AIOPS.D™ autonomous data manages master data with minimal user inputs through AI/ML-powered corrections and self-healing algorithms, autonomously filling gaps in the attributes of supplier and material profiles referencing a unified master dataset. With autonomous data operations, operational data becomes an immutable record, bringing intelligent, trusted, and validated data governance to an organization.

The AIOPS.D™ advantage

With AIOPS.D™ performing autonomous data operations, the burden of entering, validating, and correcting supplier and material data shifts to AI/ML-based self-healing algorithms, driving data quality and accuracy across the enterprise with minimal user input in real time.

Eliminate redundant data-entry tasks and leverage historical and third-party data sources to improve data consistency and align with governance models. Give end users a better experience through a centralized data management console, conversational AI, and mobile-device adaptive screens to enable corrective actions from anywhere while maintaining data synchronization across the enterprise.

Why AIOPS.D™

AIOPS.D™ autonomous data operations solves for multiple data entry and integration points that yield inconsistent data quality, dramatically raising confidence in the data required to support business processes and enable real-time decision-making.

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Autonomous Finance
Financial close process assets deliver an AI-based framework that takes proactive steps across the financial close process, enabling an accelerated and more touchless close.

What is autonomous finance

AIOPS.D™ autonomous finance starts with a focus on autonomous financial close. An AI-based framework takes proactive steps across the financial close landscape to enable an accelerated and more touchless close, whether for month-, quarter-, or year-end reporting. ML capabilities support upstream monitoring and correction of data errors, reconciliation between systems to automate data correction, the identification and creation of new master data, and the automation of business rule validation.

The AIOPS.D™ advantage

With AIOPS.D™ autonomous finance at work, organizations will improve their financial position by automatically detecting and correcting anomalies with self-healing data workflows and conducting efficient, automated receivables management that drives enhanced results on an accelerated timeline.

Why AIOPS.D™

AIOPS.D™ autonomous finance leverages ML capabilities to increase reporting accuracy, detect and correct errors, and simplify receivables outreach to improve overall financial posture and enable an accelerated, more touchless close.

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    Karthik Sukumar

    Karthik Sukumar

    Principal, Enterprise Performance

    Karthik is a principal at Deloitte Consulting LLP with 20 years of experience specializing in managing and executing SAP business transformation projects. His primary industry focus is hi-tech (TMT), ... More

    Abdi Goodarzi

    Abdi Goodarzi

    Generative AI Products, Innovations & New Businesses Leader, Deloitte US

    Abdi is leading our efforts across Deloitte US to accelerate business transformation for our clients, incubating and scaling net new businesses that focus on Gen AI market-facing products and innovati... More