Data & AI

News & Resources

About

Start with your business challenge

Enterprise challenges need practical answers.

You may be modernising SAP data, connecting enterprise platforms, defining an AI strategy, commissioning a production AI solution, or looking for reusable innovation products. We start with the business challenge rather than a predetermined platform.

MODERNISE

Move forward without losing what works

Assess BW and BW/4HANA options, modernise reporting, prepare data for S/4HANA and navigate SAP Business Data Cloud.

CONNECT

Make enterprise data work together

Connect SAP and non-SAP systems, improve data quality and build trusted models for analytics and decision-making.

ADOPT

Turn AI ambition into a deliverable plan

Assess readiness, prioritise use cases, put governance in place and engineer solutions around measurable business needs.

Four distinct capabilities. One integrated enterprise perspective.

Advise, architect, engineer and implement AI solutions across enterprise environments, whether or not SAP is involved.

AI strategy, advisory and roadmaps

LLM applications, RAG and AI agents

AI solution architecture and integration

Production engineering and optimisation

Explore Core AI
We do more than advise. We engineer products, accelerators and reusable tools, with transparent maturity and availability.

Proprietary AI products and platforms

Reusable delivery accelerators

Product design and engineering

Prototypes through to production-ready offers

Explore innovation
We do more than advise. We engineer products, accelerators and reusable tools, with transparent maturity and availability.

Proprietary AI products and platforms

Reusable delivery accelerators

Product design and engineering

Prototypes through to production-ready offers

Explore innovation

Data & Analytics

Trusted enterprise data

Modernise SAP and non-SAP data estates, connect platforms, improve data quality and deliver analytics that people can rely on. Most of this work is bought on its own merits, with no AI agenda attached.

SAP Business Data Cloud, Datasphere and BW modernisation
S/4HANA data migration, quality and integration
SAC, planning, analytics and the existing reporting estate
Fabric, Databricks and Snowflake integration

Explore data expertise

data-analytics-red-dashboard

Core AI

Independent AI consulting and engineering

Advise, architect, engineer and implement AI solutions across enterprise environments, whether or not SAP is involved.

AI strategy, advisory and roadmaps
LLM applications, RAG and AI agents
AI solution architecture and integration
Production engineering and optimisation

Explore Core AI

SAP AI

Intelligence embedded in SAP

Combine SAP process and technical expertise with AI engineering to implement relevant SAP-native and integrated AI solutions.

SAP Business AI Platform and its three pillars
Joule and SAP-native AI opportunities
SAP BTP, AI Core and Generative AI Hub
AI grounded in enterprise SAP context

sap-ai-purple-stars

Innovation & Products

Build solutions and reusable IP

We do more than advise. We engineer products, accelerators and reusable tools, with transparent maturity and availability.

Proprietary AI products and platforms
Reusable delivery accelerators
Product design and engineering
Prototypes through to production-ready offers

Explore innovation

innovation-red-laptop

Data & Analytics

We understand the estate you have, and the one you are building.

Modernisation is not a clean-sheet exercise. It involves customisations, historical reporting, integration dependencies and platforms already in use. We help you decide what to retain, modernise, connect or replace, based on your requirements.

glass-globe-2100x1000

Inside the SAP estate

Business Data Cloud, Datasphere, BW and BW/4HANA, SAC and planning, S/4HANA data migration and quality, BusinessObjects and the long tail of existing reports, integration and data modelling. We connect platform decisions to delivery realities.

globe-digital-2100x1000

Beyond the SAP estate

Microsoft Fabric, Databricks and Snowflake often coexist with SAP. Our proposition here is integration-led: define the right data boundaries, ownership and operating model instead of assuming a single platform should do everything. We are building delivery depth on these platforms in their own right, and we will say which of the two you are getting.

Business Data CloudDatasphereBW / BW/4HANASAC & planningS/4HANA migrationIntegration SuiteBusinessObjectsFabricDatabricksSnowflake

Core AI · Independent of SAP

Enterprise AI consulting and engineering, without platform boundaries.

Our Core AI capability supports the full lifecycle: from identifying business value and designing a strategy to building, integrating and operating intelligent solutions. We choose the architecture and models that fit the problem, rather than assuming a single vendor or application stack.

ADVISE

AI strategy & consulting

Opportunity discovery, use-case prioritisation, readiness assessments, value cases, target architecture and delivery roadmaps.

ENGINEER

AI solutions & agents

Generative AI applications, retrieval-augmented generation, knowledge assistants, document intelligence, intelligent agents and workflow automation.

IMPLEMENT

Production adoption

Enterprise integration, security, evaluation, human oversight, operational monitoring and iterative improvement.

Discuss an enterprise AI initiative →

SAP AI · Specialist domain expertise

Bring intelligence into real SAP business processes.

Our SAP AI capability brings AI engineering together with deep understanding of SAP applications, data, integration and customisation. The objective is useful intelligence embedded in business operations, rather than an isolated demo.

SAP's target architecture, and where we work in it

At Sapphire 2026 SAP consolidated BTP, Business Data Cloud and Business AI into a single SAP Business AI Platform. It stands on three pillars. This is SAP's architecture, not ours; what follows is where we work inside it.

BuildPillar 01

Where agents get made

Joule Studio and the integration layer, aimed at business analysts as much as at developers. We build here on BTP today, and we will tell you which parts are production-ready.

Contextualize & ReasonPillar 02

Where the business meaning lives

Business Data Cloud, the knowledge graph and SAP's domain models as one semantic layer, so an agent can reason over how your business runs rather than over a set of tables. Generative AI Hub sits here too, providing access to enterprise LLMs through SAP's partnerships with OpenAI, Anthropic and Mistral, alongside SAP's own engineered models such as SAP-RPT for tabular data and SAP-ABAP-1 for code. This pillar is our deepest capability.

GovernPillar 03

Where accountability sits

A control plane across the agents in the estate, with role-based access, data lineage and activity logging. It pairs with our own governance and assurance work further down this page.

SAP-native AI

Assess where Joule and the available SAP Business AI capabilities fit your business requirements, licensing, data and process realities.

Extensions & integration

Design relevant solutions using SAP BTP, AI Core, Generative AI Hub and integrations with enterprise services where appropriate.

Business-process intelligence

Connect AI to SAP process context, governance and human decision points, including the implications of customised SAP landscapes.

Discuss SAP AI opportunities →

Three ways to deliver AI

The right AI for the problem, not the platform.

Some AI belongs inside SAP. Some work better on independent platforms. Many solutions need both. We recommend the option that fits the problem and the business case.

SAP AI

When the process runs entirely in SAP.

SAP-native AI services, built into your existing processes.

Independent AI + SAP

When the process needs SAP data plus other systems.

Independent AI combined with SAP process knowledge and data models, with governance kept in place.

Independent AI

When SAP isn't part of the solution.

Knowledge assistants, document intelligence, workflow agents and bespoke AI apps.

How we apply AI

AI solutions for clients. AI-assisted delivery for Invenio.

AI for our clients

Across Core AI and SAP AI we provide advisory, architecture, engineering, implementation and governance, from use-case selection through to production solutions.

AI in Invenio delivery

Our teams use AI-supported approaches across discovery, build, support and engineering, with consultant oversight and clear distinctions between internal tools, prototypes and client-ready capabilities.

If automation reduces our delivery effort, you should see it in the deal. Ask us about fixed-price scopes where the market still charges time and materials, and about outcome-linked support.

Efficiency figures are always specific to an engagement, so we will show you the measurement rather than quote a benchmark.

Our EDGE framework

From AI readiness to responsible execution.

EDGE is Invenio's structured path from assessment to action across Core AI and SAP AI. Learning from execution informs the next evaluation cycle, so the framework continues rather than ending at delivery.

01

Evaluate

Understand the current data, technology, skills and governance landscape.

02

Define

Prioritise use cases, value hypotheses, ownership and success measures.

03

Generate

Design and develop solutions, controls and delivery plans.

04

Execute

Implement, measure outcomes, learn and refine.

Seven dimensions of readiness

DataPlatform & infrastructureSkills & operating modelGovernance & policySecurity & privacyCulture & changeUse-case pipeline

Ask about an EDGE assessment →

04 / Innovation & Products

What we are building, and how mature it is.

We consult and we build products. Our Innovation & Products capability develops proprietary AI solutions, reusable intellectual property and accelerators. A prototype is not a production product, so we distinguish internal tooling, solutions in development and client-ready offerings.

Capability / product	Purpose	Status
AI governance and licensing platform	Governance controls, licence generation and deployment ownership	Prototype
Delivery code generator	Assists repetitive code and documentation work, subject to consultant review	Internal only
Datasene	Product description to be supplied by practice owner	To confirm
Invenia	Product description to be supplied by practice owner	To confirm

Marketing to confirm current status and review date before publication. Do not present unverified tools as client deployments.

Trust and accountability

Governance is a service, not a footnote.

We help clients assess AI risk, establish practical policy and controls, and design ownership that works in a complex SAP environment. This work is aligned to ISO/IEC 42001, the NIST AI Risk Management Framework and relevant EU AI Act obligations, and we hold our own products to the same standard.

Assess

Map AI use, gaps, risk exposure and control needs across the estate, including the agents already running that nobody has catalogued.

Design

Define policy, approval pathways, accountability and operational controls that survive contact with a delivery programme.

Assure

Make data handling, model providers, output ownership and human oversight explicit before deployment, not during procurement.

Framework alignment does not imply certification. Confirm any ISO/IEC 42001 certification claim and the legal wording before publishing.

Thought leadership

Practical thinking on SAP, data and AI.

Perspectives from our consultants on the decisions clients are facing now, from BW modernisation to putting AI to work on enterprise data. Written to help you weigh the options, not to sell one.

BW modernisation: choosing the right path

Comparing retaining, modernising and moving platforms against business need and total cost, including when the answer is not an SAP one.

AI needs enterprise context

Why reliable, governed SAP and non-SAP data matters more than an impressive demo.

Beyond reactive AMS

Where automation and better knowledge management may improve support outcomes.

Article cards are proposed content topics, not confirmed live links.