AI-native assessment
Assess data, context, current tools, current AI usage, existing agents, and the governance gaps that matter before expanding usage.
For small organizations, the first challenge is usually simple: AI matters, but adoption is either not started or scattered across random tools. This engagement makes the path concrete: the tools, the process, the first use cases, and the first team agent.
Assess data, context, current tools, current AI usage, existing agents, and the governance gaps that matter before expanding usage.
Make core company information available to approved agents: documents, meetings, messages, tasks, people, and other relevant sources.
Help employees use personal agents safely and productively, while building the habits needed for deeper delegation later.
Identify and prioritize high-value use cases grounded in real workflows, domain-expert input, and technical feasibility.
Build one shared agent for one team or workflow. Team members delegate bounded work to it, review results, and improve it through the development loop.
15 years in software engineering across leadership and external-facing roles. Most recently a startup CTO, building AI agents and AI-native workflows for the last 1.5 years.
linkedin.com/in/klausjulinIn the call, we clarify your current situation, answer questions about the approach, and see whether a 3-month engagement is a good fit.