For Finance, Sales, Service, Operations and Procurement

DSL Agentic Platform

From AI that advises to AI that carries out work.

We build AI agents that carry out specific tasks within clear boundaries: in your own environment, using your own data and with human oversight where needed.

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Trusted by leading organisations

Why we built this,

Many AI applications provide answers or generate text, but the actual work still falls to employees. Checking data, updating systems, processing requests and initiating follow-up actions are still done manually.

Organisations want to automate this, but face the same questions: what data can AI use, which actions can an agent take independently, and when should an employee make the decision? Without a clear foundation, isolated experiments emerge that are hard to keep under control.

The DSL Agentic Platform makes the next step possible.

What you can expect,

One foundation for all your AI agents

We set up a central foundation that agents for Finance, Sales, Service, Operations and Procurement can work on. This prevents each department from building its own solution.

Your data and infrastructure remain entirely within your own environment.

Autonomous within clear boundaries

An agent carries out agreed tasks independently. If there is uncertainty, an exception or a decision with significant consequences, the agent automatically involves a member of staff.

You decide:

Which data an agent can use
Which actions an agent can take
When approval is required
Who is responsible for what

All actions and decisions are recorded and can be reviewed afterwards.

Tasks an agent carries out

Each agent has a clearly defined task within an existing process. For example:

Finance: invoices, payments and reporting
Operations: incidents, planning and work orders
Service: enquiries, status updates and follow-up
Procurement: suppliers, quotes and contracts

These are examples; the foundation is the same for every department that joins. The agents run on the same foundation and connect to the systems already in place.

How it works,

Architecture of the DSL Agentic Platform: at the top, the interface you work with; below that, agents for each department (finance, operations, customer service and procurement); a human-in-the-loop layer where an employee makes decisions; the platform with a single source of truth, AI and agent infrastructure, and governance; and, at the bottom, connections to source systems and the data governance layer. — How the platform is structured: agents for areas such as finance, operations, customer service and procurement run on a shared foundation, with an employee making decisions where needed.

Our approach,

Start small and expand with purpose

We start with one clearly defined process where results can be achieved quickly. Within 2 to 5 weeks, the foundation is in place and the first application can go live.

Is the agent demonstrably working well? Then you can add new tasks, processes or agents on the same platform.
Control built in from the start

Permissions, logging, human approval and escalation are part of the platform from the start. This gives you a solid foundation for using AI safely and meeting the requirements that the EU AI Act sets for certain AI systems.