Questions about deploying AI into real workflows

No. Describe the current workflow, the tools involved, and where the work gets slow or risky. I will reply with a free fit recommendation. If deeper mapping is needed before a build, the paid workflow audit becomes the next step.

No. The architecture can be vendor-aware. OpenAI may be the right choice for many workflows, but the system can be designed so model choice, fallback, and migration are not treated as afterthoughts.

Usually, yes. The first step is mapping the current tools, data sources, permissions, and workflow constraints. The goal is to improve the process without forcing unnecessary platform changes.

Sensitive workflows can include review queues, approvals, confidence indicators, escalation paths, audit logs, and clear rules for when AI can suggest, draft, or act.

A first AI workflow build usually takes 2 to 4 weeks. Final timing depends on data readiness, integration depth, permissions, evaluation needs, and the review steps that must remain with people.

That is common. Many AI deployment projects start by cleaning the workflow and defining the data path. If the data is not ready, the first sprint can focus on intake, structure, and visibility before deeper automation.

The fit call and workflow intake response are free. The AI workflow audit is a fixed €2,500 engagement. First AI workflow builds start from €7,500. Production systems usually start from €15,000. Ongoing AI operations support starts from €3,500/month.

It is both. The work starts with workflow diagnosis and system design, then moves into implementation, integration, testing, deployment, and iteration.

Some implementation work cannot be shown publicly because it touches private operations, customer data, or internal systems. Publicly, I show production-style demos and use-case blueprints. Real deployments are adapted to each client's tools, data, permissions, and workflow.

We review usage, quality, costs, failure cases, and team adoption. Then we decide whether to improve the current workflow, add another workflow, or hand over documentation and operating guidance.