Precisely Extends Governed SAP Automation to Google Workspace with New Google Sheets Support

Precisely has announced support for Google Sheets in Automate Studio, bringing governed, no-code SAP automation directly into Google Workspace. The move enables business teams to execute enterprise-scale SAP data processes through a familiar spreadsheet interface. At the same time, IT and SAP Centers of Excellence retain the validation, governance, and auditability they require. For SAP customers navigating the SAP S/4HANA transformation and facing mounting pressure to demonstrate AI readiness, the update is another signal that the gap between business-user productivity and enterprise-grade control is closable. It arrives from a vendor with more than 20 years of SAP automation experience.

Precisely’s Automate platform works across both SAP ECC and SAP S/4HANA, covering the mass data operations that keep ERP systems running cleanly. Adding Google Sheets as a governed execution surface extends that automation layer to business users who live in Google Workspace rather than Microsoft 365, without asking IT to relax its controls to do it.

What the Google Sheets Integration Does

Automate Studio now enables users to create SAP data in Google Sheets, validate and correct it before posting, and run round-trip processes that extract, update, revalidate, and repost data back into SAP. Throughout every step, the tool applies SAP validation rules, user permissions, security requirements, and governed execution controls. No data reaches the system without passing through those guardrails.

The practical targets are recurring, data-intensive processes: account creation, material master extensions, pricing changes, and other mass updates that today consume hours of manual effort across multiple teams. Precisely reports that the platform can reduce manual effort by up to 90 percent on complex, data-intensive SAP ERP tasks.

“Business users already rely on spreadsheets to manage SAP data processes,” said Matt Waxman, Chief Product Officer at Precisely. “With support for Google Sheets in Automate Studio, we’re enabling them to work in that familiar environment while maintaining the governance, validation, and control required to operate SAP at scale.”

The integration also aligns with Clean Core principles, reducing reliance on custom code. That matters for organizations accelerating to S/4HANA Cloud who need extensibility strategies that do not reintroduce technical debt.

Why SAP Data Leaders Should Pay Attention Now

The Google Sheets launch addresses a structural gap that most SAP organizations have yet to close. Research from SAPinsider’s SAP Business Data Cloud Use Cases and Adoption 2026 report found that only 3 percent of organizations have a unified governed data layer. More pointedly for AI programs: only 12 percent have automated governance for AI workloads, and data quality, governance, and trust ranked as a top strategic driver at 25 percent of respondents.

Precisely frames the problem in plain terms. Its blog on SAP automation and AI readiness argues that AI amplifies whatever data quality is already present, good or bad. TDWI Research Fellow Donald Farmer, speaking at a Precisely webinar, put the risk bluntly: layering AI on inconsistent data means “you’re automating the dysfunction.” The blog offers a five-step roadmap that starts with auditing, where engineering time is devoted to data work, and ends with a targeted automation investment that frees capacity for higher-value tasks.

That diagnosis maps directly onto the findings from SAPinsider’s AI Adoption and Maturity research from December 2025: 91 percent of SAP organizations are using AI at some level, but only 17 percent have embedded it in core workflows. The bottleneck is rarely model selection. It is the data foundation on which those models depend.

What This Means for SAPinsiders

Governed automation must meet users where they work. No-code automation that lives only inside SAP interfaces will always face adoption friction from teams that default to spreadsheets. Precisely’s Google Sheets integration acknowledges that reality without sacrificing governance. If the organization’s SAP Center of Excellence is still manually reviewing spreadsheet uploads before posting, the current tooling can close that gap.

Data integrity at the point of capture is the only durable AI prerequisite. Downstream cleansing programs patch problems after they have propagated. The defensible approach is validation before posting: enforcing SAP rules and business logic at the point of entry. With only 12 percent of SAP organizations having automated governance for AI workloads, the window to get ahead is open.

An AI readiness roadmap needs a data-automation checkpoint before a model-selection meeting. Most SAP organizations use AI at some level, but only a few have embedded it in core workflows. That gap almost always runs through data quality. Precisely’s five-step roadmap, which starts with identifying a high-value data domain and reviewing governance programs for AI requirements, is a practical framework for closing it. Automation is not a prerequisite for scheduling after AI deployment. It is the infrastructure you build before it.