Architect the
Agentic Shift.
LLMs and agents are changing how enterprises use knowledge, develop software, and modernize legacy systems.
Enterprise Architecture determines whether this becomes another technology layer – or a lasting advantage for the business.
New capabilities reshape the strategic room to act.
LLMs and agents understand language and code, unlock knowledge, and act through tools. This changes fundamental assumptions about how enterprises develop software, use knowledge, and organize work.
When work changes, processes must be redesigned.
Agentic systems redistribute work between people and AI. Roles, responsibilities, and entire process chains shift with it. Business Architecture must show where this new division of work creates value and how it is anchored in the organization.
Agents need more than an LLM.
Agents become enterprise-ready only when they can access data, knowledge, and applications in a controlled way. This requires a foundation that builds in security, traceability, and digital sovereignty from the start.
Custom development becomes viable for more use cases.
Custom software is becoming faster and less expensive while standard software retains its scale advantage. Enterprises should therefore reassess whether building creates a measurable advantage for each use case.
System knowledge enables targeted modernization.
Agents can recover business logic and dependencies from code, data flows, and documentation. The enterprise can then decide whether to retain, move, replace, rebuild, or retire the system.
Agentic development and sovereignty need the same standards.
Containerised environments and controlled build, test, and deployment processes accelerate development. They provide the basis for portable software delivery across different cloud infrastructures.
Architecture Vision
Which AI investments make sense today
LLMs change faster than enterprise roadmaps. The durable capability is to run, verify, observe, and route agentic workloads across LLMs.
Opportunities and Solutions
Make-or-buy: the economics are changing
Coding agents reduce the time and cost of developing custom software. Standard software retains its scale advantage when it can be used without major customisation. But the lead held by buy is narrowing.
Information Systems ArchitecturesImplementation Governance
Think agentic development and digital sovereignty together
Digital sovereignty and agentic development rely on the same portable environments and automated workflows. Planned together, they accelerate development and the de-risking of critical cloud dependencies.
Migration Planning
Agentic Legacy Migration: Recover knowledge, modernise with precision
Deterministic analysis, dependency graphs, and generated wikis recover missing knowledge before the enterprise chooses what to preserve, change, replace, or retire.