Agentic Experience Foundation
Many companies have AI pilots, tools and ideas. What they lack is a path to integrated, controllable and production-ready applications.
The Agentic Experience Foundation — AXF — is a modular and extensible foundation for agentic AI. It brings together exactly the capabilities, integrations and governance building blocks your use case requires — and scales with every additional journey across your existing systems landscape.
Would you like to move agentic AI forward in your organisation? Talk to our experts about your current situation, your goals and possible next steps — in an open, no-obligation conversation.
Another AI pilot. Or applied AI that delivers?
A proof of concept can show what a model might be capable of. Production use requires more: reliable data, clear responsibilities, secure integrations, measurable quality and operations that work in everyday practice.
That is why many initiatives remain isolated:
Knowledge is spread across different systems and formats.
Agents cannot securely access the business processes they need.
Governance, roles and approvals are added only at a later stage.
Quality, costs and business impact are difficult to track.
Every new use case starts from scratch.
AXF addresses this challenge directly: it takes agentic AI from pilot to day-to-day operations — on a shared foundation for all agentic journeys.
Isolated AI pilot | AXF |
|---|---|
One-off demo | Reusable foundation |
Separate integration | Connected systems landscape |
Control added later | Clear rules and control integrated from the outset |
Unclear quality | Evaluable and observable execution |
New build for every use case | Build once, deploy across multiple processes |
AXF is modular by design and can be tailored to your goals, systems landscape and level of maturity. You start with the use case that promises the greatest tangible value for your organisation — and expand the foundation step by step with additional capabilities and journeys.
Explore — uncover opportunities
We analyse processes, data, systems, architecture and user needs. Together, we identify use cases where agentic AI can make a tangible difference.
Outcome: Use-case map and initial value hypotheses
Prioritise — select the right use case
Not every idea is a good starting point. We assess business impact, feasibility, data availability, integration effort, risk and strategic fit.
Outcome: Prioritised use case with a value hypothesis and proposed KPIs
Prove — demonstrate impact under real-world conditions
We develop a focused pilot using real data, real users and a clear evaluation framework.
Outcome: Robust evidence of value, quality and feasibility
Industrialise — integrate for production
We transition the validated use case into a governed operational environment — with integrations, roles, policies, observability, quality assurance and clear responsibilities.
Outcome: Production-ready agentic application within the client’s systems landscape
Scale — deliver additional journeys faster
The AXF foundation grows modularly with each validated use case. Existing components, integrations, agents, data access and governance mechanisms are reused, combined and selectively extended for adjacent journeys.
Outcome: Growing impact with less effort required for each additional use case
Where are you on your journey to agentic AI?
In our Agentic AI Audit, we assess areas including strategy, use-case portfolio, data and infrastructure, processes and governance, as well as people and skills. This results in a prioritised roadmap for the next steps.
AXF in action: ifm Smart Search
For ifm, we implemented a conversational product advisor for a portfolio of more than 14,000 products. Customers ask questions in natural language; the assistant combines product data, application reports and CMS content to guide them to a suitable recommendation.
Proof points
In production since 1 June 2026 across the DACH region
Around 250 sessions per day
Approximately €0.015 per consultation
More than 1,000 sessions in the first week
This use case shows how AXF combines complex product information, commerce knowledge and natural language to deliver scalable customer advice.
Further use cases
A conversational download centre makes documents discoverable, generates relevant metadata and shows the sources behind each answer. Users find not just a document, but the information or file that best matches their question.
Potential KPIs: Search success rate, click-to-download ratio, downloads, internal efficiency
A RAG-based assistant supports teams and suppliers in enriching product data and content. It uses existing data, examples and other information sources to improve quality and consistency.
Potential KPIs: Conversion rate, add-to-cart rate, feedback score, processing time
The agent understands an order enquiry, checks availability, accesses defined tools, requests approval where necessary and documents the result.
Potential KPIs: Turnaround time, manual processing steps, error rate, approval rate
Agentic workflows support tasks such as content enrichment, SEO optimisation, classification and the preparation of marketing activities — with clear human oversight and measurable quality criteria.
Potential KPIs: Turnaround time, content quality, publishing rate, internal efficiency
Why diva-e Conclusion is the right partner for you
An agent is only as good as the systems, data and processes it works with. diva-e Conclusion combines many years of experience in commerce, content, PIM, ERP, data and digital platforms with expertise in AI strategy, agent development, integration and governance.
We do not just design a target architecture. We support implementation within your existing systems landscape — from prioritisation through to production.
AXF connects new agentic capabilities with existing systems and data. Replacing your entire infrastructure is not a prerequisite.
We do not build another isolated AI pilot. Together with you, we build the operational foundation for organisation-wide agentic AI applications.
Would you like to move agentic AI forward in your organisation? Talk to our experts about your current situation, your goals and possible next steps — in an open, no-obligation conversation.
Whether you are exploring your first use case, building on an existing pilot or ready for the next stage of scaling, we will work with you to identify where agentic AI can create value in your organisation — and what foundation is needed to make it happen.
FAQ - Häufig gestellte Fragen zur Agentic Experience Foundation
AXF is a governed, modular foundation for building and operating agentic AI. It connects agents to enterprise knowledge and systems, controls their actions, measures behaviour, and reuses capabilities across use cases.
It is not a chatbot, foundation model, or single use case — it is the operating foundation for agentic experiences.
A direct pilot enables fast learning but does not scale across use cases. AXF centralises reusable integrations, retrieval, permissions, guardrails, evaluation, observability, cost management and operations.
Future use cases reuse the same standards, policies and foundation instead of reinventing them.
AXF is an accelerator and operating foundation — not a standalone product or license. diva-e Conclusion develops, operates and governs it to build productionready solution packages quickly
AXF is for organisations moving from isolated AI experiments to governed customer, employee, sales, service or operational journeys.
It is especially valuable when AI accesses enterprise systems or takes controlled actions. It also enables lower-risk rapid prototyping and proof-of-concepts
Examples include:
Product Advisor (guided product discovery and commerce)
PIM Assistant (product data intelligence and automation)
Order Attendant (order processing and quote generation)
Service-agent assistance
Sales and CRM workflows
Tender and opportunity intelligence
Employee knowledge and process assistants
Content and generative-search workflows
No. AXF adds an agentic layer to CRM, commerce, ERP, PIM, CMS, DAM and data platforms. It retrieves information and initiates controlled actions without requiring costly system replacement, and can connect data silos.
AXF supports Azure Cloud, multiple inference providers, local inference and bring-your-own-model options. For core models, data stays on diva-e-Conclusion controlled resources in the EU and is not used for training or fine-tuning. LLM data residency is currently mainly Germany or Sweden.
The use case and business journey
Business and technical owners with availability
Access to systems and data, plus representative data samples
User groups, permissions and access conditions
Required actions and approval points
Baseline KPIs
Security, privacy, residency and compliance requirements
If the technical setup is clear, a first demo can be feasible within one business week after diva-e Conclusion’s preliminary check.
There is no fixed all-in cost or licence. The indicative model includes:
Monthly AXF usage
Use-case implementation
A consultancy retainer
Small testable cases can start below €10k, depending on scope.
AXF provides authentication, authorisation, guardrails, evaluation, observability and sensitive-data handling. Compliance depends on the use case, provider, deployment and applicable regulations; it is not automatic by default.
Yes. The diva-e Conclusionsagentic AI reference store integrates Scayle, commercetools, Storyblok, Algolia and the diva-e Conclusion Content & Commerce Accelerator. All our solutions can be found in our marketplace.