About

Operator-led workflow redesign for AI-native work.

Elevenfactor is founder-led by Erwin Vink and built from HR, payroll, data, integration, and AI work where workflows had to survive real approvals, privacy, and exceptions.

Quiet architectural studio with workflow drawings and models.

Our Approach

Work before tools

We start with the recurring work, not the AI tool category.

Teach the team

The goal is not dependency. Employees learn to see the workflow, split judgment from execution, and place AI carefully.

Operator background

Erwin brings HR, payroll, data, integration, and AI experience from work where exceptions, privacy, and approvals mattered.

Founder Context

BrynQ background

HR and payroll integration work shaped the view that tools fail when data, ownership, and handoffs stay unclear.

AI in practice

The work comes from using AI around real policy, privacy, mailbox, and workflow problems, not from demos alone.

Teaching over dependency

The engagement is designed to make employees better at seeing workflows and spotting safe AI leverage.

Proof discipline

Customer stories should only appear when they are permissioned, concrete, and useful. Until then, proof comes from method, artifacts, and public context.

Public Context

How We Work

01

Map

We make the real operating flow visible.

Map workflow reference image.
02

Redesign

We separate work, decisions, AI actions, and transfer points.

Redesign workflow reference image.
03

Transfer

We leave behind a model the team can run and improve.

Transfer workflow reference image.

Belief

AI-native work
still needs structure.

AI-native work still needs operating structure: who decides, what AI may do, what stops, and what gets handed over.

Bring one workflow.

Start with the work where the organization already feels the drag or sees AI potential.

Send workflow