SAP MODERNIZATION SERIES | BOOK 3

From Complexity
to Confidence
with Precisely Automate

How Precisely and Precisely Automate help organizations overcome their SAP modernization challenges — and deliver lasting value long after S/4HANA go-live.

Introduction
Modernize SAP ERP on Your Terms

Books 1 and 2 in this series mapped the pressures on CIOs and the specific challenges that derail SAP migration programs. This book turns to solutions — examining how Precisely and Precisely Automate provide targeted, proven capabilities that address those challenges both during migration and as a permanent operational capability in the post-S/4HANA environment.

Precisely Automate is the SAP automation engine of Precisely’s Data Integrity portfolio. It gives SAP teams a governed automation layer for ECC and S/4HANA — standardizing, automating, and orchestrating data-intensive processes using reusable templates and workflows that persist through the migration and beyond. Its core value proposition is simple: Modernize SAP ERP on your terms.

This book examines how that value is delivered across four capability areas: data quality and migration acceleration, a unified user experience across all SAP interfaces, support for cloud deployment and SAP’s clean core strategy, and the AI-ready, API-first data foundation that modern SAP organizations require.

Clean Core
Level C

SAP Clean Core Certification achieved by Precisely Automate, confirming that its API/BAPI-based architecture aligns with SAP’s clean core requirements and is upgrade-safe.

(Precisely Press Release, April 2026)

Chapter 1:
The Precisely Automate Platform

Precisely Automate is built around three integrated components. Automate Studio is the core automation engine, connecting to SAP at the API/BAPI level to execute governed data transactions — mass loads, mass changes, extractions, and complex multi-step operations — through familiar Excel templates and web forms, without requiring users to interact with SAP interfaces directly. Studio Manager provides centralized scheduling, monitoring, version control, and credential management across all automation assets and SAP landscapes. Automate Evolve is the workflow and orchestration layer, adding approval routing, exception handling, governance controls, and audit trail capabilities to SAP data processes.

Together, these components address a gap that standard SAP tooling and traditional migration approaches consistently fail to close: the need for governed, business-friendly, repeatable data and process automation that works across both ECC and S/4HANA — before, during, and after the migration. And because Automate is part of Precisely’s broader Data Integrity portfolio (which includes Data360 Analyze for data profiling and quality, Trillium for data quality rules, and EnterWorks MDM for master data management), organizations can extend their SAP data governance into analytics platforms, data warehouses, and AI environments.

Chapter 2:
Data Quality, Governance, and Migration Acceleration

The most significant risk in any SAP migration program is data quality — and Precisely Automate addresses it at every stage of the journey, from pre-migration profiling through post-go-live governance.

Pre-Migration: Profile Before You Load

Precisely Automate’s integration with Data360 Analyze enables organizations to systematically profile their ECC data domains — completeness, uniqueness, consistency, validity, and referential integrity — before the first mock load. Rather than discovering the scale of data quality issues under cutover pressure, organizations get quantified quality scores by domain and a prioritized remediation roadmap with realistic effort estimates. The outcome is measurable: organizations that invest in systematic pre-migration data profiling consistently achieve fewer mock load failures than those that don’t.

Linking Data Governance to Business Goals

The Extract-Cleanse-Load Pattern

The core migration capability of Precisely Automate is a proven, repeatable three-step pattern that closes the gap standard SAP migration tools leave open:

Traditional Migration Approach

Precisely Automate Approach

IT-heavy extract and load processes

Business-friendly Excel templates with SAP connectivity

Manual, ad hoc data remediation in spreadsheets

Governed, workflow-driven remediation via Evolve

No systematic exception tracking

Full audit trail from exception to resolution

Business owners excluded from workflow

Business owners integrated via guided workflows

Remediation work repeated from scratch each cycle

Reusable templates accelerate each iteration

Post-go-live quality problems continue unmanaged

Sustainable data quality practice post-go-live



Extract from ECC via Automate Studio (no custom ABAP, Excel-based templates). Cleanse and transform in Data360 Analyze (profiling, standardization, deduplication, enrichment). Load into S/4HANA via Automate Studio (mass upload with validations, logs, audit). Because these are reusable, parameterized templates — not one-off scripts — they can be executed multiple times across the mock load cycle and ultimately at cutover, with consistent, predictable results.

90%

Reduction in time and cost for materials master data processes — including NPI and lifecycle management — achieved by customers using Precisely Automate for governed materials workflows.

(Dorman Products, 2024)

Governed Master Data: Preventing the Re-Accumulation Problem

Clean data at go-live is only valuable if it stays clean. Precisely Automate Evolve replaces the informal, email-and-spreadsheet processes through which most SAP organizations manage master data changes — routing requests through defined approval workflows, verifying changes against business rules, capturing approvals, and logging every transaction with a full audit trail. These governed workflows are available for all major master data domains — materials, customer/Business Partner, vendor, and finance master — and work identically across ECC and S/4HANA.

Precisely APIs

“Before Precisely Automate, vendor onboarding took an average of 2.5 years from request to system-ready. With repeatable, reliable Studio scripts, we got that to under 3 months — and our data accuracy reached 99.9%.”

— Global Procurement Director, Manufacturing Company (Precisely Customer Reference, 2024)

Chapter 3:
Solving the Multi-Interface Challenge

One of the most powerful design principles in Precisely Automate is deceptively simple: the business user should never need to know which SAP interface they are interacting with. Whether the underlying transaction is executing in ECC or S/4HANA, through SAP GUI or Fiori APIs, the user sees the same controlled, governed Excel template or Evolve web form. The platform handles the routing.

Spreadsheet-Based Interface: Familiar, Governed, and SAP-Connected

Automate Studio’s primary user-facing interface is Microsoft Excel or Google Sheets — applications that SAP business users are already most comfortable with. This is a deliberate design choice, not an accommodation: it dramatically reduces training burden and eliminates the interface familiarity gap that Fiori adoption creates for SAP GUI-trained users. But unlike the ad hoc spreadsheet workarounds that plague many SAP organizations, Automate’s Excel templates are controlled and connected — they enforce SAP-specific validation rules, execute against SAP through standard BAPI/API connections, are version-controlled through Studio Manager, and generate a complete audit trail of every transaction.

Web Forms for Process-Oriented Workflows

For SAP processes requiring workflow — customer onboarding, vendor risk review, new product approval, etc. — Automate Evolve provides a user-friendly web form interface that guides users through multi-step processes with embedded validation, approval routing, and exception handling. These forms are accessible through any browser without SAP GUI installation, making them ideal for extending SAP data governance to business users who are not regular SAP users.

During the parallel operations period of the migration, this consistent experience across both spreadsheets and web forms is especially valuable: when users interact with Precisely Automate rather than with SAP directly, the question of whether they are in ECC or S/4HANA becomes invisible to them. Organizations can standardize user interactions on the Precisely Automate layer before the migration is complete, addressing interface fragmentation proactively rather than reactively.

3.5x

Greater AI initiative success rate reported by organizations with formal data governance programs, compared to those without. Data governance is the single strongest predictor of AI initiative success.

(Harvard Business Review Analytics Services, 2024)

Chapter 4:
Cloud, Clean Core, and AI Readiness

Cloud Deployment and RISE with SAP

Precisely Automate is fully compatible with SAP’s RISE with SAP offering and with S/4HANA deployments on all major cloud platforms — AWS, Azure, and Google Cloud. Automate Evolve and Studio Manager are both available as Precisely-hosted services, enabling organizations migrating to cloud SAP to deploy the automation layer in a fully cloud-hosted configuration. This reduces on-premises infrastructure footprint and administrative burden, while maintaining full control over automation workflows, governance policies, and audit data.

For organizations managing the hybrid period — where some processes still run against on-premises ECC and others against cloud-hosted S/4HANA — Studio Manager provides a unified control plane for scheduling, monitoring, and governing automation assets across both environments simultaneously.

Clean Core: Architecture Built for SAP’s Future

SAP’s clean core strategy — minimizing customizations to the SAP core to simplify upgrades and maintain long-term supportability — is central to the S/4HANA value case. Precisely Automate supports it explicitly. Studio’s SAP connectivity is built on standard interfaces (BAPIs, IDocs, official SAP APIs) rather than direct database access or custom ABAP modifications. Automations are therefore upgrade-safe: when SAP updates the underlying system, the standard interfaces Automate uses are maintained by SAP as part of that upgrade process. This is the architectural foundation of the Clean Core Level C certification.

Beyond certification, Precisely Automate actively supports the clean core goal by providing an alternative to custom ABAP for the business process automation needs that would otherwise drive Z-transaction development. When business teams need mass change capability, governed data workflows, or complex loading processes that go beyond standard Fiori apps, the choice is between custom code and Precisely Automate. Choosing the platform keeps the core clean while still delivering the capability — and it replaces fragile custom ABAP with governed, upgrade-safe automation that IT can support and business teams can operate.

Building the AI-Ready SAP Core

The AI readiness challenge identified in Book 1 — where 85% of AI projects fail due to data quality issues — is directly addressed by Precisely Automate’s governance capabilities. SAP Joule and the broader suite of SAP Business AI capabilities are explicitly dependent on the quality and consistency of underlying SAP data. Organizations that have governed their SAP master data through Precisely Automate are measurably better positioned for AI: their materials are correctly attributed, their business partners are deduplicated and consistently structured, their finance master is accurately maintained. This is the data that AI models need to operate reliably.

The API-first architecture of Precisely Automate extends this AI readiness beyond SAP itself. The platform exposes standard SAP Data APIs and Digital Access APIs that enable organizations to build integrated, governed data flows connecting SAP to analytics platforms, AI models, CRM systems, and other enterprise applications. This is the technical foundation for the Intelligent Enterprise — and it is available as a direct product of a well-executed, Precisely-powered SAP modernization program.

 

Proven Customer Outcomes

The value of Precisely Automate is not theoretical. Documented customer outcomes across the implementation portfolio demonstrate consistent, measurable results:

  • Vendor onboarding: 87% reduction in onboarding cycle time (from 2.5 years to under 3 months); 99.9% data accuracy; hundreds of hours saved per month in manual processing.
  • Customer master: 14-day to 1-day onboarding cycle reduction; significant reductions in order blocks and billing delays due to master data issues.
  • Materials master: Up to 90% time and cost reduction for NPI and lifecycle management processes (Dorman Products); savings of nearly $500k in first year of deployment for a single SAP process.
  • Finance master: Faster, more reliable financial close; governed, audit-ready review and approval processes for journal entries and GL account maintenance.
  • Migration programs: 35% average reduction in overall migration duration; 68% fewer mock load failures; post-go-live data quality improvements sustained through governed workflows.

Modernize SAP ERP on your terms. The platform to do it is here.

Ready to modernize SAP ERP on your terms? See Precisely Automate in action

https://www.precisely.com/solution/sap-process-automation/

Conclusion:
Modernize on Your Terms

The challenges of SAP modernization are real and compound. Data quality failures derail migrations. Interface fragmentation erodes productivity. Cost and schedule overruns drain resources. AI initiatives stall without a clean data foundation. And all of this happens against the backdrop of an accelerating business environment that demands IT agility, not IT caution.

Precisely Automate addresses these challenges not as separate point solutions, but as a unified platform that creates compounding value: better data quality accelerates the migration, which creates a governed data foundation, which enables AI initiatives, which drives the business outcomes that justify the entire modernization investment. Organizations that recognize this compounding dynamic, and invest in Precisely Automate as a strategic architectural layer rather than a tactical migration and single-point automation tool, are the ones that emerge from their S/4HANA programs in a fundamentally stronger competitive position.

Sources & References

Industry Research

  1. Harvard Business Review Analytics Services. (2024). The Data Governance Imperative for AI Success. https://hbr.org
  2. Gartner. (2024). SAP Clean Core Strategy and Architecture Principles. Gartner Research.
  3. Forrester Research. (2024). Total Economic Impact of Governed SAP Automation. Forrester Research.
  4. IDC. (2024). SAP S/4HANA Migration Optimization: The Role of Governed Automation. https://www.idc.com
  5. McKinsey & Company. (2024). Delivering on the AI Promise: From Pilots to Production. https://www.mckinsey.com
  6. MIT Sloan Management Review / BCG. (2024). Winning with AI: The Companies Getting Results.
  7. Panorama Consulting Group. (2024). ERP Post-Implementation Value Realization Study. https://www.panorama-consulting.com

SAP & Precisely

    1. SAP SE. (2024). SAP Clean Core Certification Program. https://www.sap.com/documents/clean-core
    2. SAP SE. (2024). SAP Business AI Capabilities and Requirements. https://www.sap.com/products/artificial-intelligence
    3. SAP SE. (2024). SAP Joule: AI Copilot for S/4HANA. https://www.sap.com/products/artificial-intelligence/joule.html
    4. SAP SE. (2024). RISE with SAP: Cloud Migration Guide. https://www.sap.com/products/erp/rise.html

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    Precisely Resources

    1. Precisely. (2024). Precisely Automate Product Documentation. https://help.precisely.com/automate
    2. Precisely. (2024). SAP Modernization Positioning Guide V3. Precisely Internal Document.
    3. Precisely. (2024). CXO Challenges in SAP ECC to SAP S/4HANA Modernization V4. Precisely Internal Document.
    4. Precisely. (2024). Precisely Automate Top-Line Messaging Framework – Draft V2. Precisely Internal Document.
    5. Precisely. (2024). Dorman Products Case Study: Materials Master Data. https://www.precisely.com/customers
    6. Precisely. (2024). Customer Outcomes Analysis: Vendor, Customer, and Finance Master Data. Precisely Customer References.