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AI and Automation

Less manual work. More understandable processes.

We combine clear rules, existing systems and suitable AI models into workflows whose results remain reviewable. From documents and data flows to internal assistants.

Scope & next step

A bounded workflow rather than an open-ended AI demo

When it fits
For repeatable document, data and knowledge processes with describable rules and clear ownership. We also check whether rule-based integration without AI is sufficient.
What you receive
A bounded pilot with inputs and outputs, test examples, cost assumptions and an approval path for uncertain results. This supports a decision on production use.
How we begin
Show a typical task and its exceptional cases. Before model access, we clarify data types, permissions and hosting. Local models and external providers have different capabilities and operational requirements.

Related documented work

Local AI chat composer

A local web application for structured writing and dialogue workflows with LLM integration. It keeps the working context manageable and streamlines recurring writing and role-based processes.

Our role: Product development, full-stack, AI integration

AI content, speech and localization

Workflows for images, scripts, blogs, text-to-speech and multilingual dubbing connect creative production with controlled review and publishing processes.

Our role: Workflow architecture, AI integration, automation

Describe your situation

Where automation genuinely helps

AI is one building block. The functioning end-to-end process is the product.

Internal assistants

Assistants that use approved knowledge, return structured results and hand uncertain cases to people.

Systems and data flows

APIs, documents and business systems are connected so information can move with control and without duplicate entry.

Domain automation

Custom workflows for classification, review, preparation and approval with clear rules and traceable intermediate steps.

How we judge good automation

Not by an impressive demo moment, but by a reliable daily workflow.

Less repetition

Frequent, clearly described steps are automated while exceptional cases stay visible.

Scale with control

Load, cost and failure paths are considered from the start and measured in operation.

Reviewable results

Sources, rules and approvals prevent outputs from moving forward without appropriate checks.

Fits the existing stack

New workflows complement current tools instead of creating another unnecessary isolated system.

Which workflow wastes time today?

We assess honestly whether automation makes sense and what controls it needs.