JiVS IMP creates a unified enterprise data layer across SAP, non-SAP, active, and legacy applications—giving AI agents, copilots, analytics platforms, and business users trusted access to complete business context. Connect enterprise data to SAP Joule, SAP BDC, OpenAI, Anthropic, Azure AI, Databricks, Snowflake, AWS Bedrock, and future AI platforms through a single governed layer. No legacy dependency. 100% compliant.
THE CIO REALITY
92% of enterprises are not AI-ready. The bottleneck is not the AI technology — it is the data layer underneath it. Enterprise data is fragmented across operative systems, legacy platforms, and archives that were never designed to feed an AI model.
The consequences:
Rising legacy IT costs
Delayed SAP modernization
Poor AI data quality
No unified, governed layer connecting data to AI
The result
Organisations invest in AI tools and models while the data those tools depend on remains ungoverned, siloed, and structurally disconnected from the AI stack. The technology is ready. The data foundation is not.
THE JIVS APPROACH
JiVS Information Management Platform (IMP) connects every enterprise data source — operative SAP systems, non-SAP platforms, legacy applications, and archived data — and transforms it into a single governed, structured layer accessible to every AI system, analytics platform, and business application.
Data is separated from the systems that generated it, given a unified semantic model, placed under full governance, and made permanently accessible — without replication, without legacy dependency, and without compliance risk.
Operative, archived, and historical data unified under a single governed layer. Any source system. Any platform.
Separate data from the applications that generated it. Decommission the system. Keep the data.
Feed SAP Joule, AI Agents, SAP BDC, OpenAI, Azure, Databricks, and AWS Bedrock with structured, governed enterprise data — on demand, in context, without custom connectors.
The Result
Without maintaining legacy systems or duplicating massive datasets, your data becomes available across the full AI ecosystem.
Why JiVS, not a general-purpose data lake
Most platforms do one thing well: move data, store data, or analyze data. JiVS IMP unifies all three—creating a governed enterprise data layer that remains permanently accessible, compliant, and connected to every AI and analytics ecosystem. GDPR, GoBD, SOX, CCPA, ISO 27001/27701/27017, IDW PS 880 and SAP-certified.
Seamless integration with SAP BDC and S/4HANA via the SAP ORD model — historical and operational data unified for the end user.
Native integration with Databricks, AWS Bedrock and OpenAI via MCP. No custom connectors required.
Access any governed data directly from SAP GUI transactions or SAP Fiori apps — the same experience as live operative data, regardless of source system or age.
A common Business Object Layer for SAP and non-SAP data ensures AI receives contextualised, consistent records — not raw field dumps.
JiVS Web UI, JiVS MCP, SAP integration, REST APIs and natural-language chatbot queries — all from a single platform.
Recognised by Gartner for application retirement. SAP-certified. Proven across manufacturing, finance and public sector.
Use cases
From SAP transformation to AI readiness, JiVS IMP creates a governed enterprise data layer that reduces complexity, preserves business context, and unlocks long-term agility.
Fragmented sources
AI consumers
Context Layer
AI-Ready Historical Data Layer
Transform disconnected SAP and non-SAP historical data into a trusted, governed business context layer for SAP Joule, copilots, analytics, AI agents, and future enterprise applications.
Source · 100% volume
Target · Clean Core
100% historic + live
Separate
−90% · operational only
SAP S/4HANA Transformation
Separate historical from operational data before migration to dramatically reduce SAP S/4HANA complexity, accelerate timelines, minimize downtime, and create a lean clean-core ERP environment.
Legacy systems
Live access
JiVS Vault
Legacy System Retirement
Retire SAP and non-SAP legacy systems while preserving secure, compliant, and audit-proof access to historical data, documents, and business context directly from JiVS IMP.
Before
After
JiVS Separation
Retained business
Divested business
M&A / Carve-Out / Data Separation
Accelerate mergers, acquisitions, divestitures, and carve-outs with intelligent data separation, historization, and governed access across complex enterprise environments.
Raw enterprise data
AI-ready clean data
AI Cleansing
Data Quality Improvement
Eliminate duplicates, enrich incomplete records, and harmonize enterprise data before migration — so AI agents, copilots, and analytics platforms work with trusted, high-quality business context from the start.
Enterprise records
Compliance outcome
Retention Engine
Retention Management
Apply legally defined retention rules to every enterprise record — automatically — so you meet GDPR, GoBD, SOX, and CCPA requirements without manual oversight or keeping legacy systems running.
Live S/4HANA
AI-ready layer
Historization
Dynamic Historization
Continuously offload ageing transactional data from S/4HANA into a governed, AI-ready layer — preserving full access while reducing system footprint and storage costs over time.
Live SAP systems
AI & analytics consumers
Replication
Data Replication Service
Continuously replicate operational SAP data into a governed enterprise data layer, enabling AI agents, copilots, analytics platforms, and business users to work with current, trusted business information.
Customer Proof

Decommissioned 53 legacy ERP systems (SAP, BAAN, JDEdwards, Siebel) and consolidated onto a single global SAP platform — saving over US$5 million while keeping historical data audit-proof and accessible.

Consolidated decades of historical engineering, production, and finance data into a unified, AI-ready platform — retiring legacy systems while keeping every record audit-proof and instantly accessible.

Retired 17 SAP systems and archived over 50 TB of historical data in just 12 months while improving compliance and accelerating global transformation.

Reduced SAP operating costs by 80% through selective migration and centralized historical data management.

Retired aging infrastructure while preserving 50 years of historical operational data in a compliant, searchable platform.

Centralized historical information from multiple legacy systems while reducing operational costs and improving reporting visibility.
Key Metrics
Make the move
Every source system. Every AI tool. One governed layer.