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AI READINESS · CONSULTING

Before you build your first AI employee, know which tasks it should take over.

You have decided your company needs to transform, and you want to do it right. Not another AI subscription, but a real foundation: which work to hand to AI first, the governance to run it safely, and an honest read on where to start. AI Readiness is the consulting that gives you exactly that, diagnosis-first, on your systems, with owners by name. It is advice, not a build. When the plan points to a working AI employee, that gets built as Custom AI Employees, a separate product. We run our own company this way, so we diagnose before we prescribe.

Book the diagnosisTalk to Christoph directly
  • Founder-led
  • Six weeks, fixed price
  • Your systems, your data
  • Named owners at handover
TODAYAFTER READINESSpilots · tools · ?owned · governed · sequenced

Why now

We hear the same story in every first call.

Maybe a few AI pilots are running and none reached production. Maybe you have not started at all, because every path forward means another tool decision nobody can defend. Either way you have recognized that handing work to AI is where the company is going. What is missing is the same: a target picture, a governance foundation, and an honest answer on where to start. Christoph leads every Readiness engagement personally.

Founder-led, no junior handover

Named owners at handover day

Consulting, not a build

Readiness gives you the plan. Custom AI Employees builds it.

AI Readiness is the advisory. It gives you the diagnosis, the governance foundation, and the roadmap. It does not build anything. When the roadmap points to a working AI employee, that is a separate product you book at Custom AI Employees. The diagnosis makes the build sharper and cheaper, which is why we start there. You are never locked into the build to get the plan.

This page · Advisory

AI Readiness

The diagnosis, governance foundation, and roadmap that tell you which tasks an AI employee should take over first. You leave with a plan your team owns, not a binder.

  • Diagnosis of which tasks pay off first, with honest "not recommended" markings
  • A governance foundation built for the rules that apply to you
  • A prioritized roadmap with owners by name
See what you walk away with

Separate product · The build

Custom AI Employees

When the plan points to a working AI employee, this is where it gets built, on your infrastructure and wired into your tools. Recommended after a diagnosis, bookable directly.

  • Built and deployed into the tools you already use
  • Runs on your environment, your keys, your data
  • Does everything a Managed AI Employee does, and more
See Custom AI Employees

What you walk away with

A foundation your team owns the day after we leave.

Consulting should leave something behind that survives the engagement. Readiness lays a real foundation, from BrandOS to a sequenced road map, each part your team carries on its own. Not a slide deck. A working base.

Section A-A · AI operating foundation01 / 05
POS 05

A sequenced road map

When each topic is addressed, with a recommendation per case and honest "not recommended" markings. The plan your team runs after we leave.

  • Inbox triage and routing
  • Proposal drafting from your templates
  • Real-time call transcription summaries
POS 02

Use cases, identified

The concrete tasks across the company that are real candidates for an AI employee, surfaced from how your teams actually work, not from a tool catalog.

POS 01

BrandOS — one source of truth

The technical foundation: a shared context layer so your team and every AI work from the same data, rules and sources. Versioned like code, owned by you.

POS 03

Champions, named

The people in each area who carry it day to day. Named owners, not a department on a chart, so adoption has a face and a fallback.

POS 04

Departments, prioritized

Which areas go first, ranked by impact and readiness. A clear order of what gets done when, and what deliberately waits.

Ownership · 100% yours

Project

AI operating foundation

Scale

1:1 · real artifacts

Sheet

01 of 05

Drawn by

Brixon AI

Upkeep

Your team

Ownership

You

Inside the governance foundation

Who owns which decision, by name.

Every Readiness engagement leaves a decision-rights map like this one. Not a department on a chart, a named owner for each call.

DecisionLeadershipITProcess owner
Use-case priorityownernot ownernot owner
Data accessnot ownerownernot owner
Go-live approvalnot ownernot ownerowner
Spendownernot ownernot owner

The engagement

One foundation. Six weeks. Fixed price.

Readiness is a single fixed-scope engagement, not a menu of phases. It starts with a paid diagnosis and ends with a foundation your team can build on the day we leave.

We do not start with tools. We start with the questions no one wants to answer later: which tasks first, which data behind them, which approvals are needed, and who in the house will own each one.

It ends with named owners and named next steps. By name, not by department. If your team cannot pick the foundation up the day after handover, it was not a foundation.

Phases

From first call to a foundation your team owns, in five steps.

Every step leaves a visible result. You always know what is done and what comes next.

  1. Week 1

    Paid diagnosis

    Leadership and IT bring the context. We read where AI employees pay off first, on your systems and your data. Result: an honest baseline.

  2. Week 2

    Working sessions

    Workshops with leadership, IT and the process owners who will carry it. The foundation takes shape against real workflows, not slides.

  3. Week 3–4

    Prioritize use cases

    Candidate tasks ranked by capacity freed, readiness and upkeep cost. With a clear recommendation per case, and honest "not recommended" markings.

  4. Week 5

    Governance foundation

    A governance charter and guardrails built for the rules that apply to you. Data rules, roles and who owns which decision, by name.

  5. Week 6

    Handover day

    Named owners, named next steps, and a board-ready read of what to build first. Your team picks it up the day after.

Fit

This is not for everyone. Here is how to know if it is for you.

The honest filter sits in front of the offer. We recommend what pays off, even when that means pointing you somewhere else.

  • Good fit

    You have decided to transform, and you want to do it right.

    You know that handing real work to AI is where your company is going, and you want to build the foundation properly from the start. What is missing is the structure: where to begin, which tools, and what the operating model should look like. That is exactly what Readiness is built for.

  • Wrong fit

    You want quick wins, not a foundation.

    If you want productive AI without your own project, Managed AI Employees is the faster route. If your team wants to learn to build and run agents itself, AI Operator Training fits better. We will say so honestly instead of selling you Readiness.

  • Required

    Leadership is in the room, not just on the org chart.

    Leadership, IT or operations, and a clear process owner are involved. Operations stay with you. We build the foundation, hand it over cleanly, and step back.

Christoph Sauerborn

Why Brixon

Advice from people who run AI employees themselves.

Christoph leads every Readiness engagement personally. No junior handover, no strategy-deck team you never meet again.

Our roadmaps come from operators, not consultants. We run our own company on AI employees, so we diagnose before we prescribe, and we recommend only what we would deploy ourselves.

Christoph Sauerborn

Founder, leads every Readiness engagement

Talk to Christoph directly

Next step

After the diagnosis, you will know exactly what to build first.

Bring the bottleneck. We check whether Readiness is the right starting point, or whether Managed AI Employees, a Custom AI Employee or AI Operator Training gets you there faster.

Book the diagnosisSee Custom AI Employees