For the person whose name is on the AI outcome

Your AI pilot worked.That was the easy part.

Most agents don't fail at the model. They fail at the handover, the moment the system stops being a demo and starts touching money, customers, and approvals. I design agentic systems that survive that moment, and I teach the people who own the outcome how to think about them.

600+
Professionals trained
~30% → <5%
Agent failure in production
5 years
Value Engineer, Make (Celonis)

Frank About AI · Readiness audit

Deploying agents takes a weekend.Is your team ready to run them?

Answer five quick questions. See what the AI skills gap is costing your team, and where you stand.

AI readiness assistant
Let's see how ready your organization is for AI agents. First, how large is the team you'd be training?
The gap is costing you
0/ year

Based on ~4 hrs/week of avoidable manual work per person at average loaded cost.

AI readiness
0/ 100
Your biggest gap

Revealed once you've answered all five.

0/4 answered

Work / 03

Patterns and proof

Patterns beside the business result they produced. Switch lenses for outcomes or depth.

Lens

Agentic AI

The Build-With-Me Session Framework

Your team leaves with working automations, not notes. Built inside your governance so Monday isn't a liability.

600+ professionals trained across multiple regions. One workflow built in ~40 min typically saves 200+ hours/year per team.

Agentic AIEnablementGovernance

Multi-Agent

Multi-Agent Orchestration Patterns

Cut agent failure from ~30% to under 5%. Shared state and human checkpoints where the cost of being wrong is real money.

Cut a support agent's failure rate from 30% to under 5% by routing every agent through one state layer with human-in-the-loop checkpoints on high-cost actions.

Multi-AgentOrchestrationAgentic AI