Hands-on and strategic. Three tracks - one for every level of your organization - built and delivered by practitioners who ship AI in production. Not tool training: your people build real agentic workflows on the same stack we use ourselves.
01
AI Executive
For boards and C-suites. Half day to two days. The judgment to make AI investment decisions, evaluate opportunities, set governance - and lead adoption with confidence.
02
AI Super User
For leadership teams and non-technical staff. Two-day intensive that turns them into power users who redesign their daily work with AI - and ship one agentic workflow of their own.
03
AI Builder
For technical teams. Intensive, hands-on program for building production AI systems - from architecture to deployment to evaluation, with the guardrails that make them governable.
From scattered AI experiments to a strategy that holds - in five steps we call CLIMB.
Most companies already use AI - uncoordinated: single people, single tools, no shared picture. Pilots start from gut feeling and fizzle out because nobody owns them. Leadership needs a basis for decisions, not a list of technologies. CLIMB delivers it in a few weeks: the use cases come from interviews with your own people, the priorities are decided in three workshops with your core team - in the room, not afterwards by the consultant.
CClarify - kickoff: goals, people, frame. Board and timeline stand.
LListen - interviews and a questionnaire along the five pillars. The knowledge comes from your company.
IIdentify - use cases derived, clustered and condensed, AI-assisted. A sorted field of candidates.
MMake the call - two workshops: urgency and complexity pick the top 5 use cases; impact, effort and real commitment pick the top 3 solution ideas.
BBuild the roadmap - five pillars, measures, sequence. Agreed in workshop three, closed with an implementation talk.
The demo is the easy part. We build agentic systems with your team and take them the whole way: architecture, integration into the tools people already use, evaluation, guardrails, monitoring, and a clean handover to the people who will run them. Practitioners who have shipped dozens of AI projects - not slideware, working systems.
01
Build
Scope one workflow that matters, then ship it: agentic workflows, assistants and automations built on your stack and your data, delivered in weeks alongside your team.
02
Harden
Evaluation suites, guardrails, observability and cost control - the engineering that turns a pilot into something a regulated organization can stand behind.
03
Operate
Handover, runbooks, ownership and governance. Your people run it, with humans in the loop where the decisions carry weight - and we stay on call as long as you need.
From prototype to production
One track, three stations - built with your team, hardened until it holds, then run by your people with humans in the loop.
Founder, Human in the Loop · Dozens of AI projects delivered · Former IBM, Microsoft
Andreas has spent more than 12 years building, deploying, and scaling AI - dozens of delivered projects for organizations from small enterprises to the Fortune 500, through his work at Microsoft and IBM, where he led the AIOps service portfolio across EMEA and contributed to the global AI Agents offering. Today he is VP AI & Growth at BLP Digital and founder of Human in the Loop.
He is one of the most-followed voices in enterprise AI, with 300,000+ followers across platforms - author of two books, featured AI instructor on LinkedIn Learning, and the writer behind the Human in the Loop briefing read by 38,000+ execs every Monday.
