The client asks on Monday. The answer leaves on Thursday.
AI-native diagnostic architect for founder-led teams of 5-50 people in Spain/EU
Before scaling AI, audit the workflow it will scale.
The Protocol shows why AI experiments do not become reliable work: context, owner, memory, verification gates and operating route.
SpeedMemoryOwnershipVerificationAI Readiness
Agency before automationAI Usage Reality CheckBefore you scale AI, fix the workflow AI will scaleAI exists. Workflow reliability does not.One workflow. 3+ leaks. Protocol Map. Proof.
Problem frame
The leak rarely lives inside one tool.
It lives between signals, memory, decisions, owners and verification nobody made visible.
The reason lives in chat, CRM, an AI note or the founder's head.
Everyone assumes someone else owns the next result.
The task closes, but the business result was not confirmed.
How it works
A simple route so the buyer does not guess.
We do not sell transformation. We choose one real workflow and turn it into a surface that can be reviewed.
The flow as it exists: request, tools, context source, owner and visible friction.
We map steps, handoffs, memory, owners, latency, tool, AI and verification gates.
You receive leaks with impact, fix, AI Readiness Score, ORS and first route before automation.
How it works
72 hours, without turning the audit into another project.
The route is designed to require little founder time and return an artifact the team can inspect.
Entrada
15 minutes. You describe one workflow that keeps returning to you.
Sync
60 minutes. We choose one critical route and its sources.
Analysis
48 hours. Signal, memory, owner and gates are separated.
Entrega
Protocol Map, 3+ leaks and AI Readiness Score.
AI Usage Reality Check
The problem is no longer “using AI”. It is turning it into reliable work.
Many companies have tried AI. Few operate it with a context source, owner, memory and verification gate. That is the gap: active tools, immature system.
People using chats or agents without a shared handoff.
AI accelerates outputs, but does not confirm owner, decision or result.
Before investing in custom solutions, we check whether the workflow can hold them.
Protocol Map preview
This is what you receive: not an opinion, reviewable proof.
The map shows where the signal enters, where context leaks, who owns the next step, what is marked done and what is still not verified.
StepSignalContextOwnerMemoryVerificationLeakFixAI ReadinessORSRole CompressionTrust Boundary
Route, ownership, context, verification safety and automation leverage.
Whether humans and agents can read the workflow without founder memory.
Mini Operations Leak Quiz
Check if your workflow can safely support AI.
Five quick questions. The result does not replace the audit: it shows where to look first.
1 / 5
How many people are in the team?
How many critical workflows live in operations?
Where do tasks get stuck most often?
How often does a critical process depend on one person?
Have you tried AI tools in operations?
Save your initial report.
Leave an email to keep the result and decide whether a full Protocol Map is worth it.
Initial result
62% AI Readiness
Medium risk: the workflow has useful signals, but memory and ownership still need verification.
Get Protocol MapAgency before automation
AI does not create agency. It amplifies the agency that already exists.
Most AI projects fail for workflow reasons, not technology reasons. If the team lacks memory, owner, verification and decision speed, AI does not fix the system. It makes it faster.
EUR 490
One critical workflow turned into a Protocol Map, 3+ fugas operativas and a concrete route in 72h from intake.
- Reality intake and minimum sources
- Protocol Map for the selected workflow
- 3+ leaks with impact and fix
- AI Readiness Score + Operating Readability Score
- Next route evaluated individually if it makes sense
Trust layer
Real evidence, not compliance theatre.
The Protocol works with redacted flows, minimum necessary data, human review and explicit limits. We do not need admin access to start, and we do not present private demos as public client work.
NDA/DPA when neededEU / Spain awareNo legal certificationHuman review gates
Data sovereignty
You own the Protocol Map. It does not disappear into a black box.
Methodology proof
I am not selling operational guru status. I design AI-native diagnostics.
The method came from auditing my own operating reality: split signals, scattered memory, decisions returning to the founder, and work marked done before the result was verified.
1 workflowbecomes a reviewable route before automation.
FAQ / sensitive questions
Short answers so a buyer can decide without friction.
Important doubts should live on the page, not appear late on a call.
Is this automation?
No. First we check whether the workflow can safely support automation.
Do you need admin access?
No to start. We can work with intake, redacted screenshots, real examples and a walkthrough if needed.
Is this legal advice or AI Act certification?
No. It is initial operating evidence to review better with your team or legal advisor.
What if we already use AI?
Good. We check whether that AI is connected to memory, owner and verification gate.
Is the second stage included?
No. If the map shows a valuable route, implementation is evaluated individually.
Who is not a fit?
Teams that want to buy AI hype without looking at how the business really works.
Start with one workflow
One workflow. 72 hours. Visible leaks.
Send the workflow that keeps coming back to you: client status, decision, follow-up, invoice, delivery or exception.