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Artificial intelligence

AI that works
in the business.

We design the architecture, governance and AI solutions that take organisations from experimenting to real use.

We combine traditional AI, generative AI and agentic solutions to solve real problems, integrated with each organisation's data, systems and processes.

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Architecture · Governance · Applied AI · Agentic AI

AI with judgement

AI does not start with the model.

It starts with understanding which problem is worth solving, what data it needs, how it must be integrated, what the risks are and how it will be governed.

At SOL we help organisations build AI that is useful, safe and ready to run in production.

It is not about adding more AI. It is about using it where it really adds value.

What we do

From strategy to real use.

  • 01 · AI architecture

    A solid base to scale on.

    We define the architecture needed to bring AI into the organisation's technology landscape, taking into account data, applications, models, integration, security and operations.

    • AI and GenAI solution architecture
    • Architectures for agents
    • Model selection and evaluation
    • Integration with corporate systems and applications
    • Data architecture for AI solutions
    • RAG and access to corporate knowledge
    • Integration and orchestration patterns
    • Production-ready environments

    The architecture must let the solution evolve without getting locked into one technology.

  • 02 · AI governance

    Using AI with control.

    We design the governance framework that lets AI solutions grow safely, traceably and sustainably.

    • AI use policies and principles
    • Governance of models and solutions, GenAI and agents included
    • Security and access control
    • Traceability, monitoring and evaluation
    • Risk management and cost control
    • Roles, responsibilities and approval processes
    • An inventory of AI systems and a log of their use, the basis for the measures the AI Act asks companies to take

    AI needs speed to innovate and control to scale.

  • 03 · Applied AI

    Intelligence where it improves the process.

    We apply traditional AI, generative AI and intelligent automation to solve specific tasks and processes with measurable impact.

    • Information classification and extraction
    • Intelligent document processing
    • Understanding, analysing and summarising text
    • Prediction and scoring
    • Intelligent assistance
    • Automation of cognitive tasks
    • AI-assisted decisions
    • AI built into workflows and applications

    First we redesign the problem. Then we choose where AI adds value.

  • 04 · Agentic AI

    From automating tasks to orchestrating work.

    We design agentic solutions that interpret context, use tools, make decisions within set limits and carry out the different steps of a process.

    • Agents for end-to-end processes
    • Orchestration of tasks and systems
    • Agents connected to corporate applications
    • Agents with access to company knowledge
    • Multi-agent flows
    • Human oversight
    • Rules and controls for decisions
    • Agents integrated with workflows and automations

    An agent does not replace the process. It turns it into a smarter way of working.

Traditional or agentic

Not every problem needs an agent.

At SOL we do not start from the technology. We start from the problem.

Traditional AI

The right fit when:

  • The problem is well defined.
  • The rules are fairly stable.
  • High predictability matters.
  • A specific task can be automated with a dedicated model.

Agentic AI

The right fit when:

  • The process is dynamic.
  • Several sources or tools are involved.
  • Context has to be interpreted.
  • Several steps have to be decided and carried out.

Combined

Often the best solution combines specialised models, rules, workflows and agents.

The right technology depends on the problem, not the other way round.

AI, data and processes

AI does not work alone.

A business AI solution needs reliable data, integration with existing systems and a well-designed process.

  1. Data

    A reliable base to feed the intelligence.

    See data

  2. AI

    Models and agents that interpret, decide and act.

  3. Processes

    Automation and orchestration to bring that intelligence to real work.

    See automation

  4. Business impact

At SOL we connect the three layers when the problem needs it.

From pilot to value

Turning experiments into a real capability.

Many organisations have already experimented with AI. The challenge is turning those experiments into solutions that work, are adopted and can be maintained.

  1. 01

    Understand

    Problem, context, users and expected result.

  2. 02

    Assess

    Data, systems, processes, feasibility and risks.

  3. 03

    Design

    Architecture, technology, integration and governance.

  4. 04

    Build

    Prototype or production solution, together with the client's team.

  5. 05

    Operate

    Monitoring, continuous improvement and control.

  6. 06

    Transfer

    Documentation, knowledge and in-house capabilities.

Case study

We did not automate the process. We transformed it.

A process based on printed documents can look, at first sight, like a digitisation problem.

But the real challenge is how information comes in, how it is interpreted, which decisions are made, which systems are involved and which tasks people do.

We approached it by reengineering the process, combining automation, traditional AI and agentic AI to design a new way of working.

The goal was not to remove a manual task. It was to redesign how the process works.

Process reengineering · AI · Agentic AI · Automation

See case studies

AI has to change something

3 people → 1

and from up to 6 hours to 1 hour a day handling invoices, without printing 80 to 200 pages a day.

2–3 h → 15 min

and from 2 people to one in a consolidation process.

Results of process reengineering, automation and agentic AI, together.

Technology with judgement

We design on your landscape.

We do not start from a given platform. We look at the existing landscape and design the technology solution that best fits the organisation.

Models and GenAI
LLMs · specialised models · embeddings · evaluation
Agents
Agents · tools · orchestration · multi-agent
Knowledge
RAG · vector databases · enterprise search · corporate sources
Integration
APIs · ERP · CRM · corporate applications · legacy systems
Data
Data platforms · quality · governance · access
Operations
Security · monitoring · traceability · costs

We do not sell a technology. We design a solution.

Why SOL

Enterprise experience. Boutique attention.

  • Senior from day one

    The people who understand the problem take part in the solution.

  • Architecture before tools

    We define the solution before choosing the technology.

  • Vendor-independent

    Our recommendation is never tied to one vendor.

  • From design to delivery

    We do not stop at the strategy or the pilot.

  • Knowledge transfer

    The knowledge and the solution stay in your organisation.

We do not want to build AI that depends on us. We want to build a capability that works in your organisation.

Do you have a problem where AI could make the difference?

Tell us what you want to solve. We will look at the problem with you and tell you where AI makes sense and where it does not.

Write to us

One of the partners answers you, not a salesperson.

Data & AI assessment

Where can AI add value in your organisation?

Find real AI opportunities, how ready your data and processes are and what you need to take them to production.

12 questions · 3 minutes

Take the assessment