Autonomous Data Operations

Services

AIOPS.D™ Autonomous Data Operations

AIOPS.D™

AIOPS.D™

Autonomous Data Operations

A suite of integrated microsolutions streamlining information management and improving data accuracy and quality.

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What is Autonomous Data Operations?

AIOPS.D™ Autonomous Data Operations streamlines information management by utilizing machine learning (ML) and artificial intelligence (AI)-driven microsolutions.

It autonomously detects data discrepancies and rectifies them, while also generating new accurate data based on detected patterns. The solution leverages AI-powered data healing to predict trends and provide actionable insights, empowering end users to make informed decisions.

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AIOPS.D™ Data Operations Potential Benefits

AIOPS.D™ Autonomous Data Operations integrates internal and external data sources to generate key data attributes and improve data consistency, accuracy, and quality. This reduces the need for multiple data entry points, fostering improved data synchronization, clean and accurate master data records, and real-time decision-making.

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95%

Increase in data quality as the ML models mature with self-healing data

75–85%

Reduction of manual master data entry by self-generating data

75%

Reduction in data operations costs due to autonomation

Up to 75%

Acceleration in master data creation and maintenance driven by Generative AI autonomous operations

AIOPS.D™ Data Operations Microsolutions in Action

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AIOPS.D™ Data Management Vendor + Material leverages AI and ML models to automate, create, validate, and correct vendor and material data fields.

The solution is enterprise resource planning (ERP) agnostic, which helps to match existing vendors and materials while concurrently generating new ones using third-party and historical data.

It also preforms data management tasks such as creating, updating, or deleting a master record autonomously. This solution helps to establish clean and accurate master data records.

Key features:

  • Self-generating algorithms generate data based on user behavior and historical data
  • Integrated data vault provides a comprehensive data repository
  • Business rule repository provides best-in-class industry data management rules

Value delivered:

  • Up to 85% reduction in time spent on troubleshooting
  • Up to 75% reduction in data operations costs
  • Streamlined data management processes, reduced lead times, and higher data quality

AIOPS.D™ Autonomous Plant Data Management, enhanced by AI/ML and GenAI, not only simplifies and speeds up the management and maintenance of ERP data, but also leverages autonomous processes for task execution.

The solution ensures efficient, error-free operations through the configuration, validation, and activation of materials.

Key features:

  • Uses historical data for future configuration and field pre-population
  • Leverages a Sentence Transformer model to collect user input, then suggest existing plant configurations, based on weighted similarity score across key attributes
  • Enables non-deterministic recommendations based on calculated similarity
  • Incorporates ChatGPT-4 and NLP for intuitive chat interface

Value delivered:

  • 60%+ reduction in manual user touchpoints
  • 80%+ reduction in processing screens
  • Real-time connectivity established with SAP
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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 in to multiple systems to access them.

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Explore Additional AIOPS.D™ Microsolution Offerings

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Autonomous Source-to-Pay (S2P)
S2P process solutions improve spend visibility and management, compliance, and supplier onboarding while mitigating supplier risk.

What is autonomous source-to-pay?

AIOPS.D™ autonomous source-to-pay delivers the targeted solutions to drive self-healing data, cross-enterprise data matching, and autonomous rule sets with human decision prompts across an organization’s sourcing life cycle to make them autonomous and touchless.

The AIOPS.D™ advantage

With AIOPS.D™ handling procurement and invoicing processes, human interaction is minimized and required only for exception handling. AI-driven solutions select the proper vendor and create purchase orders based on historical data and autonomous rule validation with real-time decisions regarding item availability and pricing. S2P solutions can automatically identify billing errors, fill in missing data for swift approvals, ensure payment in the proper currency, and provide intelligent guidance for exception handling.

Why AIOPS.D™

AIOPS.D™ S2P eliminates manual data processes and corrects incomplete data matching and inconsistent handling rules to positively affect sourcing accuracy and timeliness across the procurement life cycle.

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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 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