SOPHIA

Platform — Intelligence & Execution Layer

Ready for
the AI age

You will connect more and more agents and software — and each of them needs context, governance, policy and a hard integration. Sophia delivers exactly that: the intelligence & execution layer on top of your existing systems and processes.

Your ERP stays the system of record One door: ECP

The layer — Intelligence & Execution

Five building blocks.
One layer

Between the outside world and your system landscape sits the layer that connects both — and gives every agent and every piece of software what it needs to work:

Agents

Run entire processes — from inbox to posting, within their permissions.

Skills

Map your processes as they really are, not an idealized version.

Memory

Memory that compounds: every completed process makes the next one better.

Governance

Every action typed and auditable, with approvals and hard limits.

Router

Independent of any LLM model, hosted in the EU and cost-optimized.

The layer at work — Read · Reason · Act

Business Graph

100 %

resolved context — understanding over guessing

1

query instead of dozens of API calls

10×

cheaper per query

The layer reads the whole company.

Sophia connects your systems into a business graph — a live map of your company. The same customer is KDNR 4711 in the ERP, ACC-2214 in the CRM, purchasing@… in the inbox: the graph resolves all of it to one identity, with every relationship to orders, invoices and emails. Agents start with full context — one query returns what would otherwise take dozens of API calls.

Agent Harness

Memory that compounds Skills over prompts Their own calendar Explicit permissions Event-driven

Agents with a job description.

Every agent is staffed like a role: a clear remit, its own memory, tested skills, a calendar for recurring duties, and precisely defined permissions. It reacts to events in your systems and remembers what works — six months in, it knows your business the way a long-tenured hire does.

Action Broker

09:14

Email read — “delivery date slips by two weeks”

09:14

Linked to purchase order BST-2026-0331 — matched exactly

09:15

Graph traversed: 3 sales orders, 3 delay notices drafted

09:15

All of it as one approval in your inbox

Not a chatbot. Execution.

Agents run entire processes end to end. In the example above: a supplier reports a two-week delay. The agent reads the email, finds the affected purchase order, checks the graph for the sales orders that depend on it, and drafts the delay notices — you get the result as one approval in your inbox.

Governance Engine

Shadow

Validate

Execute

Autonomy you can defend to your auditor.

Every write to your systems is a typed, logged command. New automations pass through three stages, one action type at a time: in Shadow, the agent only proposes silently. In Validate, you sign off on every proposal. Only once the hit rate holds does it act on its own in Execute — within hard limits, revocable at any time.

Dynamic Model Router

Model-agnostic Hosted in the EU Cheapest model per task New models from day 1 Cost control for the long run

Frontier performance. No dependency.

The model router keeps you independent of any single LLM provider: it sends every task to the cheapest model that solves it reliably, and adds new models to the routing the day they ship. You stay sovereign — frontier capabilities when you need them, and costs you control for the long run. Hosted in the EU.

Ready for the AI age.

The system
of action

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