// services

From "we should use AI"
to "we actually do."

3 services built around one problem: product teams that bought AI tools and aren't really using them. Custom agent, real integration, and ongoing presence until it sticks.

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15+
Years helping teams
adopt new ways of working
150+
People in events
and workshops facilitated
5
Countries across
LATAM & Europe
3
Services, one focus:
AI adoption that sticks
01 —

AI Adoption for
Product Teams

Your team doesn't need another tool. They need AI embedded in the way they already work — in their standups, their refinements, their retros.

We build a custom agent for your product team. One assistant that understands your context, your stack, and your workflow. SM, PO, QA, Dev — all covered. Their context. Their stack.

The team uses it from day one, not day thirty. We run the discovery, configure the agent, and onboard the people who actually have to use it.

4 weeks. One team. Running from day one.

What's included
Discovery call + workshop to map how your team works today
Stack assessment — where AI fits without disrupting what's working
Custom agent configuration for SM, PO, QA, and Dev roles
Onboarding — the team uses it from day one
Timeline: 4 weeks · one team
02 —

Real
Integration

Your team is already using AI. You just don't know which tools, for what, or why.

Shadow AI is the norm, not the exception. Someone's using ChatGPT for stories. Someone else has a Notion AI add-on. Nobody's talking about it.

We map what's actually happening, replace the chaos with something intentional, and connect your agent to the tools your team lives in — Notion, Slack, Teams.

3 to 6 weeks depending on stack complexity.

What's included
Shadow AI audit — what the team is really using and where
Stack integration — your agent connected to your real tools
Simple governance — clear rules so the team knows what to use and who owns it
AI inside your workflow, not floating next to it
Timeline: 3–6 weeks · depends on stack
03 —

Adoption that
actually sticks

The first two weeks are easy. Month three is where most teams fall back.

We've seen it with Agile. We see it with AI. The energy is there at launch. Then the workload returns, old habits come back, and the agent becomes another tool nobody uses.

This is ongoing presence. Monthly check-ins, recalibration, new use cases as your team grows. We stay in the loop so you don't slide back.

Monthly retainer. Continuous presence, not a one-off project.

What's included
Monthly check-in — real usage review, friction identification, agent updates
Recalibration — the agent evolves with your team, not frozen at version 1
Early warning — if shadow AI comes back, we catch it before it's the default
Expansion — new use cases added as the team matures
Format: monthly retainer · continuous presence

Working with a non-product team? Marketing, HR, Finance — we've worked with those too. Let's talk.

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From first call to AI in the workflow

No 6-month discovery phases. We move fast, integrate with what you have, and stay until it's part of how the team actually works.

01
Discovery call

30 minutes. We understand your stack, team structure, and what's blocking real AI adoption right now.

02
Shadow AI audit

We map what the team is really using. Where the chaos is. Then we replace it with something intentional.

03
Build & configure

Custom agent for your team. Connected to your real tools. Onboarded with the people who actually have to use it.

04
Stay & recalibrate

We don't disappear after launch. Monthly check-ins, friction fixes, new use cases. We stay until it sticks.

It starts with a conversation.

No demo, no pitch deck. Just an honest look at where your team is and what actually makes sense.

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