100+ AI projects delivered · From small enterprises to Fortune 500
The starting point
The gap is not between you and the technology. It is between capability and adoption.
The adoption gap
It widens with every model release, not with your budget - that is value left on the table.
Swipe to see the full chart →
What we hear in almost every first conversation
“We bought the licences. Nothing shows up in the results.”
“Everyone talks about AI agents. We still work like it’s 2023.”
“On AI, everyone here is waiting for somebody else.”
“We’ve always done it this way.”
Our Philosophy
We are building a future where AImakes humans more capable and impactful.
01
AI Training
From AI-curious to AI-capable.
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.
Founder, Human in the Loop · Board advisor · Former Head of AIOps EMEA, IBM
Andreas Horn spent 12+ years building enterprise AI at IBM and Microsoft, most recently as Head of AIOps EMEA at IBM, and has delivered 100+ AI projects for Fortune 500 companies. Today he runs Human in the Loop full-time, advising leadership teams and serving as board advisor to companies moving AI from pilots into production.
He is the author of The Generative AI Career Masterplan and The Definitive Guide to Claude Code (Packt), an instructor on LinkedIn Learning, and a guest lecturer at UC Berkeley, Hult and Shanghai Jiao Tong University. 300,000+ leaders follow his work across LinkedIn and the newsletter.
