AI Consulting

Designing an Enterprise AI Architecture & Governance Framework Across SAP and Operational Systems

A US-based enterprise group operating across seven businesses had already implemented SAP S/4HANA Private Edition on AWS along with OT systems, CCTV infrastructure, and secondary sales platforms.

The leadership team wanted to understand how AI could be implemented across the organization in a structured and scalable way.

What we built

Origami Studios conducted an enterprise-wide AI assessment and designed a centralized AI architecture layer to support AI agents, governance, operational intelligence, and future automation initiatives across the group.

Industry:

FMCG • Oil & Gas • Automotive Manufacturing

Services:
  • AI Consulting
  • AI Readiness Assessment
  • AI Governance
  • Enterprise AI Architecture
  • AI Transformation Strategy
Technology stack
SAP S/4HANA AWS AI Agents LLMs AI Workflow Automation OT Data Integration IoT Computer Vision Cloud-Native Infrastructure

Client's challenge

The organization had multiple disconnected operational systems across finance, procurement, manufacturing, sales, and OT environments.

Leadership needed:

  • Enterprise AI roadmap
  • AI governance framework
  • AI readiness assessment
  • Cross-business AI architecture
  • Prioritized AI opportunities


The challenge was creating a scalable AI foundation without fragmented implementations across different business units.

Our solution

Origami Studios conducted AI consulting and assessment workshops across all business units.


The engagement included:

  • SAP and operational workflow analysis
  • OT and IoT integration assessment
  • AI governance planning
  • AI use-case prioritization
  • AI agents strategy
  • Staff AI enablement

The team designed a centralized AI architecture layer connecting:

  • SAP systems
  • Secondary sales platforms
  • OT environments
  • CCTV monitoring
  • IoT operational data

Key features

  • Enterprise AI assessment
  • Staff AI training
  • AI governance framework
  • Centralized AI strategy layer
  • SAP AI integration planning
  • AI opportunity mapping
  • OT and IoT AI readiness
  • AI agents architecture

Results & expected outcomes:

7

Business units aligned under AI roadmap

Finance, procurement, manufacturing, sales, and OT environments unified under a single centralized AI architecture layer eliminating fragmented, siloed implementations.

Real-time messaging infrastructure

40+

Enterprise AI use cases identified

Structured AI opportunity mapping surfaced and prioritised over 40 automation initiatives across the group giving leadership a clear, sequenced execution plan.

AI opportunity mapping + prioritisation

1

Centralised AI governance framework

Multi-agent AI resolved the majority of support queries automatically only complex escalations were routed to a human representative.

Enterprise AI governance standards

End-to-end

SAP & OT systems AI integration roadmap

A complete integration strategy covering SAP S/4HANA, AWS Private Edition, secondary sales platforms, CCTV monitoring, and IoT operational data structured and sequenced for phased delivery without disrupting live operations

Biggest strategic planning impact

<2 hrs

Workshop-to-recommendation turnaround

Consulting assessments, architecture reviews, and AI strategy sessions delivered rapid, structured outputs — leadership received prioritised roadmaps and governance recommendations without weeks of back-and-forth

AI consulting + assessment workshops

What this meant for enterprise leadership team day-to-day

  • Clarity on AI priorities: Leadership stopped debating where to start a structured roadmap gave every business unit a sequenced, approved implementation path
  • Business & tech aligned: Technology teams and business units moved from fragmented planning onto a single unified AI architecture they could both execute against
  • Governance risk removed: Enterprise AI governance framework established before deployment — compliance, agent oversight, and audit standards built in from the start
  • Scalable architecture unlocked: SAP, AWS, OT systems & IoT all mapped into one cloud-native AI infrastructure — ready for phased automation rollout across all 7 units
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Security & infrastructure

The engagement included:

  • Enterprise AI governance standards
  • Secure ERP and OT integration planning
  • Cloud-native AI architecture recommendations
  • Scalable AI infrastructure guidance

Operational impact

  • Unified AI architecture planning across systems
  • Better alignment between business and technology teams
  • Structured roadmap for future AI automation initiatives

Business impact

  • 7 business units aligned under one AI roadmap
  • 40+ enterprise AI use cases identified
  • Centralized AI governance framework established
  • Clear AI implementation priorities defined