What it is for
Most AI work stalls between the demo and the second week of use. The model is rarely the problem. What is missing is the system around it: structured inputs, clear review criteria, and a workflow the team can run without the person who built it.
Empes AI starts from the job the AI has to do and works backwards to the inputs, controls and review that make the output dependable.
What we build
- Consistent characters and branded content. Reference assets, parameterised prompt architecture and review criteria, so the same character and the same brand feel hold across a whole catalog rather than one lucky session.
- Product recognition workflows. Reading a product photo (shape, finish, label) and carrying that identity through every generated frame.
- Agents and assistants. Internal assistants and workflow-specific agents that sit inside an existing process and hand work back to people where judgement is needed.
- Private AI workspaces for teams. A ChatGPT-like workspace for your staff, built on Open WebUI and installed on infrastructure you control. People sign in with their work account, each group gets the models and tools it needs, and a gateway holds the provider keys, enforces budgets per team and reports spend. Company knowledge comes in through knowledge bases, and mail and documents can be read as the signed-in person. Your data and your choice of models stay under your control. How we approach it is in the guide Private AI chat for a company. One we built, for a mid-sized company, is the case study A private AI workspace for a company’s staff.
- Custom AI-driven solutions. When the need does not fit a product category, we design around the need.
How an engagement runs
We follow the same three steps as every Empes engagement: understand the real context, simplify what can be simplified, then build. Every build ends with documentation and handoff, so your team can run it independently.
Proof
The AI character system case study shows the method: an audit of the existing generation process, a reusable workflow built around consistent inputs, and a review process that made consistency the default. Generated assets are on the client showcase.