AI agents are coming, but your systems aren’t wired for them

The agent that works flawlessly in a demo often falls apart in production.

Not because the model is weak, but because the data, platforms and integrations around it were never built for something that reasons and acts on its own. Agents need real-time, governed access to your systems of record, shared context to interpret your business correctly, and clear boundaries on what they can see and do. Without that wiring, agents stay stuck in pilots. Impressive in isolation, unreliable where the work happens.

How to solve this challenge
Talk to our experts

Agents don’t fail because they aren’t capable. They fail because the systems around them were never designed for something that acts on its own.

Lasse Girs Head of AI Transformation, Solita

How this typically looks like

Agents that shine in demos and proof-of-concepts but break the moment they touch real production data and systems
Data that’s technically available, but not real-time, governed or semantically rich enough for an agent to reason over correctly
Agents wired to a handful of isolated tools, unable to reach the ERP, CRM and legacy systems where the real work and the real value sit
No clear answer to “what can this agent see, do and decide”. Access rights, permissions and audit trails left undefined
Architecture and APIs designed for humans clicking buttons, not for agents calling services reliably and at scale

Why this becomes a problem

When a person meets an ambiguous definition or a missing rule, they pause, ask a colleague, and the mistake usually stays local. An agent doesn’t pause. It silently picks an interpretation and acts on it, at machine speed, across every downstream decision that depends on it. So weak data, integration and governance foundations don’t just slow agents down; they let agents scale misunderstandings faster than they scale value. The result is familiar: pilots that never reach production, outputs business users don’t trust, and a widening gap between an impressive demo and a dependable system with the ROI always one step away.

What we recommend

AI-ready data platforms

Clean, real-time, semantically rich data, plus a context layer that agents can query at inference time to understand what your data actually means.
Integration into the existing tech ecosystem

Agents connected to systems of record through stable, contract-based interfaces, not bolted onto isolated tools.
Governance and security built in from day one

Explainability, traceability, zero-trust permissions and human oversight at every gate where an agent can act.
Architecture designed for agents, not just people

Flexible, vendor-neutral foundations that respect your system boundaries, data schemas and business logic.