Pillar · Innovate
Build AI with Control
A governed foundation connecting trusted data, processes, agents and applications.
The challenge
AI Access Does Not Create Enterprise Value
No shared value or readiness view
No shared view of where Business AI should create measurable value, and agent and AI use cases selected without process or data readiness.
Unclear roles and disconnected pilots
Unclear roles for SAP BTP, Business Data Cloud, AI Foundation and existing platforms, with disconnected pilots, data products, integrations and application initiatives.
Late governance, no path to production
Security, identity, responsible AI and compliance addressed too late, limited visibility into AI consumption and risk, and no repeatable path from Joule Studio prototype to governed production.
A successful BAIP journey requires one portfolio, architecture and governance model connecting business context, trusted data, AI engineering and accountable execution.
How we help
Create a Governed AI Foundation
We connect enterprise priorities, platform architecture, business context and AI governance in one practical roadmap.
Strategy and Opportunity Discovery
Executive and stakeholder workshops, business capability and pain-point mapping, agent, application and AI use-case discovery, value, readiness and risk assessment, and a prioritized Business AI portfolio.
Unified Platform Architecture
The BAIP role in the enterprise architecture, SAP BTP capability placement, a Business Data Cloud trusted-data foundation, AI Foundation and model-service architecture, and SAP and non-SAP connectivity.
Build and Agent Enablement
Joule Studio adoption and delivery patterns, agent, application and workflow architecture, tools, APIs and integration boundaries, human oversight and action controls, and prototype-to-production standards.
Contextualize and Reason
Business process and semantic context, data-product and knowledge-source alignment, grounding and retrieval patterns, model and reasoning-service selection, and a quality and evaluation framework.
Governance and Operations
Identity, security and responsible-AI controls, agent and model lifecycle governance, observability, auditability and human accountability, consumption and cost management, and a service ownership and operating model.
Business benefits
Business AI Designed to Scale
Clear AI Priorities
Focus investment on use cases with strong process context, data readiness and measurable value.
Faster Production Adoption
Reusable patterns reduce the gap between Joule Studio prototypes and supported services.
Trusted Business Context
Agents and applications use governed data, semantics and process knowledge.
Stronger AI Governance
Security, quality, lifecycle, cost and accountability are designed from the beginning.
Lower Platform Fragmentation
A unified architecture connects SAP capabilities with the existing enterprise ecosystem.
Repeatable Agent Delivery
Teams gain standards to build, evaluate, deploy and operate AI-enabled solutions safely.
Methodology
From AI Opportunity to Enterprise Capability
Five phases from discovery to governed, evidence-based activation.
- 01
Discover
Understand strategy, process opportunities, data context, architecture, skills and active AI initiatives.
- 02
Prioritize
Score agents, applications and workflows by value, readiness, risk and strategic alignment.
- 03
Architect
Connect BTP capabilities, Business Data Cloud, AI Foundation and Joule Studio in a target model.
- 04
Govern
Establish security, responsible AI, quality, lifecycle, consumption and accountability controls.
- 05
Activate
Launch bounded use cases and scale only through measurable performance and business evidence.
Engagement scenarios
Advisory for Every BAIP Stage
Business AI Platform Strategy
Define why, where and how BAIP will support enterprise priorities.
BAIP Target Architecture
Connect BTP, BDC, AI Foundation, Joule Studio and enterprise platforms.
Agent and AI Portfolio Assessment
Evaluate and rank use cases by context, value, readiness and risk.
BAIP Adoption Recovery
Bring control to fragmented pilots, data, integrations, environments and consumption.
Business AI Center of Excellence
Design roles, standards, evaluation, governance and enablement for sustainable adoption.
Why Global Core Technologies
Why Organizations Choose Global Core Technologies
Unified SAP Perspective
We connect BTP capabilities, Business Data Cloud, AI Foundation and Joule Studio as one architecture.
Outcome-Led Advisory
Platform decisions begin with business processes and measurable value.
Agent Delivery Perspective
Recommendations reflect the realities of evaluating, deploying and operating enterprise agents.
Integrated Capabilities
AI, data, development, integration, security and operations work as one advisory team.
Practical Governance
Controls protect the enterprise while enabling responsible experimentation and scale.
Related services in this pillar
SAP Integration Suite
Design, implement and govern SAP Integration Suite — cloud and hybrid integration, API and event management and B2B connectivity — with reusable patterns and operations built for change.
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SAP AI & Automation
Identify, design and deliver SAP-centered AI and automation use cases — process automation, Business AI enablement and governed integration — from promising idea to controlled production.
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SAP Extension Development
Build differentiated business applications in the right layer — side-by-side apps, ABAP Cloud, SAP Build and Fiori — with the quality, security and lifecycle that keep the core clean and upgrade-ready.
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SAP Clean Core Innovation
Reduce custom-code dependency and establish a clean-core model — custom-code baseline, remediation strategy, an extension decision framework and governance that protects the core through every release.
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SAP Data & Analytics Enablement
Connect SAP data, business semantics and analytics in a governed decision environment — data products, SAP Datasphere, SAP Analytics Cloud and planning that make SAP data trusted and actionable.
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Intelligent Agents for SAP Operations
Adopt intelligent agents through controlled, human-supervised use cases — detection, triage, knowledge and coordination — with the security, auditability and accountability operations require.
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Create a Governed AI Platform
Build a BAIP roadmap that connects trusted context, enterprise governance and a repeatable path from AI ideas to business outcomes.