Workflow map
The selected role as a concrete flow with data sources, approval points, risks, and handovers.
Together with your team we build AI workflows for processes that cost time every day. No slides and no buzzwords: concrete routines you can test right away, from faster information search to quote preparation, documentation, and office work. The result is working AI routines, clear safety rules, and a realistic 90-day plan. Funding can be checked for many SMEs and trades businesses.
A day module is one day inside the business for one concrete process or work area. The standard sprint is a three-day AI workshop: review several areas quickly or optimize one area deeply.
The sprint does not end with a slide deck. It ends with working AI routines, clear safety rules, and a realistic 90-day plan the team can continue using.
The selected role as a concrete flow with data sources, approval points, risks, and handovers.
Reusable working instructions, email blocks, review rules, and document templates.
A tested mini workflow, for example with n8n, existing tools, or a structured assistant.
Which tools are used, which data may go where, and which permissions are minimally required.
Human-in-the-loop, approvals, failure cases, maintenance, and clear limits for daily use.
What is worth doing first, what should wait, and which implementation days would make sense next.
Clarify target role, systems, data zones, access, and success criteria.
Walk through real work: emails, PDFs, handovers, exceptions, approvals, and bottlenecks.
Create prompts, templates, tool setup, automations, and tests with real examples.
Train the team, document operating rules, estimate ROI, and decide the next step.
Sensitive data, cloud tools, and model providers are classified before the sprint starts.
Tools receive only the permissions required for the workflow.
External emails, critical documents, and operational decisions stay subject to approval.
Where cloud tools are needed, we prefer European server locations and document the data path.
No autonomous payments, legal actions, or external communication without human decision.
KIBA is not affiliated with OpenAI or Anthropic. The relevance is strategic: both companies show that the bottleneck has moved from model access to deployment in daily work. SMEs need the same logic, just smaller, safer, and closer to the actual process: concrete AI workflows, documented approvals, European data paths where possible, and funding orientation.
No. KIBA is not a partner, reseller, or representative of OpenAI or Anthropic. We use the publicly described deployment trend as a reference point and translate it into an independent SME-ready format.
A KIBA AI engineer works with one or more real roles in the business and hands over a tested workflow, prompts, data and approval rules, operating guidance, and a next-step decision.
No. The sprint needs focused working windows with the target role and one responsible person for decisions, priorities, and access.
Not in the sense of a complete custom software product. The goal is a tested workflow, a robust setup, and a decision on whether and how it should become production-grade.
Depending on the company situation, BAFA funding may be relevant. Application, review, and approval remain with the company and the responsible authority. There is no legal entitlement.
Tell us the industry, team size, and whether the bottleneck is quotes, documentation, handovers, information search, or office work. We respond with a sprint sketch and check whether funding may generally be possible.