I · IV PILLARS

Deploy AI
where work
leaks.

01 / 04 Deployment Layer

A calm diagnostic pass over workflows, handoffs, tools, and value leaks.

Map my workflow
Scroll

Value doesn't fall out in one place.
It leaks across every workflow.

Three gaps that keep AI from becoming useful inside daily work.

[ 01·a ]Manual handoff delay
9 hours

By the time context is found, the next step has already slowed down or moved to another tool.

[ 01·b ]Unowned workflow gaps
27%

handoffs lack a clear owner. Teams keep moving, but responsibility disappears between inboxes, chats, dashboards, and calendars.

27 of 100 handoffs need intervention

[ 01·c ]AI experiments stuck
1 in 3

Tool tests stay personal when no workflow, policy, or adoption rhythm exists.

[ 01·d ]Measurement missing
0

No baseline. No adoption signal. No way to prove whether the workflow improved.

See an AI workflow map in action.

A live walkthrough of how we map work, tools, handoffs, and value leaks before building anything.

Workflow map · Loom 07:42

How a workflow gets deployed.

Six practical steps between scattered AI use and a working system your team can operate. Scroll the list to walk through the flow.

  • 01

    Workflow enters view

    Current tasks, tools, handoffs, risks, and value leaks are mapped.

    T+00s
  • 02

    Opportunity prioritized

    Impact, feasibility, adoption risk, and deployment speed are compared.

    T+05m
  • 03

    System shape designed

    Inputs, rules, approval points, and measurement logic are defined.

    T+06m
  • 04

    AI workflow built

    Automation, prompts, dashboards, and handoffs are connected to real work.

    T+09m
  • 05

    Team enabled

    Playbooks, safe-use rules, and role-specific training support adoption.

    T+12m
  • 06

    Improvement visible

    Usage, recovered value, time saved, and workflow quality are reported.

    live

How the operating system flows.

Every workflow runs through a clear orchestration core — from input to approval to measurement.

Input Layer

forms · docs · inboxes

Active

Decision Engine

opportunity scored in context

Active

AI Workflow Layer

prompts + automation + routing

Active

Human Approval Layer

review + escalation

Active

Reporting Layer

adoption and value dashboard

Active

How we work together.

Three steps from diagnosis to working deployment — no tool theater required.

01 · Diagnose

Map the workflow.

7 days

We map the work, tools, handoffs, risks, and value leaks before choosing what to build.

02 · Deploy

Wire the system.

14 days

We configure the AI workflow, connect approval points, and test the operating rhythm.

03 · Improve

Tune the rhythm.

Ongoing

Monthly reporting on adoption, workflow quality, recovered value, and system adjustments.

What's included.

Three engagement levels. Pricing discussed during the first workflow conversation.

Diagnosis

€1.4k / one-off

Workflow map

  • Workflow leak report
  • 5-day turnaround
  • Deployment recommendations
Start with diagnosis

Deployment System

Most chosen
€3.9k / month

Build + monthly tuning

  • Everything in Diagnosis
  • AI workflow build
  • Automation + approval points
  • Monthly value report
  • 60-day review window
Start deployment

Operating Studio

Custom / quarter

Priority operating engagement

  • Everything in Deployment
  • Priority integration
  • Custom workflow playbooks
  • Dedicated monthly review call
Contact us

Pricing discussed during a 15-minute workflow call. Book yours →

SteigenFlow is a Europe-based AI deployment studio focused on turning workflow leaks into working systems.

Scope

Revenue, operations, enablement, support, reporting, and knowledge workflows.

Compliance

Human approval, clear data boundaries, and practical workflow controls built into every deployment.

Where we work

Remote across the EU. Studio operations in Berlin.

Track

Diagnose → Deploy → Enable → Improve. A single calm rhythm.

Ready to deploy your first working system?

Book a 15-minute workflow call. No commitment.