Ahead Madrid 2026: how Dcycle rewired an entire organization with AI

Dcycle as the opening case study for the Ahead series

On April 16, 2026, Dcycle took the stage at Central de Diseño (DIMAD) in Matadero Madrid as the opening case study for the Ahead series, co-hosted by Tailor and Vercel. The room held around 80 curated attendees: CTOs, product leaders, and founders who came for honest stories about AI transformation, not slide decks about its potential.

Dcycle was there for one reason: the entire organization adopted AI, not just engineering. That is the distinction Ahead was built to explore, and it is the story our team told over three hours, in segments from sales, marketing, customer success, and product and engineering.

We were grateful to Tailor for the invitation and to the Ahead community for the format. Coming to tell our story at the first event in the series felt like an honest representation of where Dcycle was just three steps ago.

An organization-wide transformation, told by the people who lived it

The central argument Dcycle brought to Ahead is not complicated: AI transformation is an organizational challenge, not a technical one. Putting a new tool on top of a broken process produces a faster broken process. The real question is not which tool to use, but how the organization needs to change to get value from it.

Each team presented their own chapter of this story.

Sales showed how AI changed prospecting and lead qualification. The segment was honest about what surprised the team, including what AI did worse than expected, and where the human element remains irreplaceable.

Marketing showed real before-and-after examples. Cristina and Alba brought internal Slack messages to the screen showing how Claude Code adoption spread organically across the company before anyone had a formal strategy. One message in particular landed with the audience: it showed Cristina writing to the team about blocking calendar time for Claude Code setup, and Alba replying “Thanks crissss!! yo ya la tengo.” That is what organic adoption looks like.

Customer success challenged the audience’s assumptions. They expected engineering to use AI. They did not expect the CS team to be running queries, handling ticket triage, and rethinking onboarding flows with the same tools. Luis and the CS team walked through concrete data on response quality and speed, and shared an honest account of a moment when AI got it wrong with a customer.

Engineering and product closed with the technical credibility segment. Vanesa showed how product design workflows changed. The team walked through Claude Code, AI-assisted PRs, and what it means to move from writing code to directing agents. One slide that got the most reaction: “¿De qué gano el sueldo? No es revisando código…” It landed because it is true, and it is unsettling, and the team said it out loud.

What the audience took back

The closing roundtable between Juanjo and Diego from Tailor surfaced the questions that technical and senior audiences actually care about. What is the one thing you wish you had known before starting? Where did you face the most internal resistance? What will you never hand over to AI?

One slide in the room summed up the evening better than any of our speakers could have planned: a quote projected on screen from an attendee who had heard about Dcycle’s setup, reading “Me fliparía montar lo que han montado los de Dcycle… pero es que mi empresa no puede ser más distinta.” That tension, between admiring the transformation and believing your organization is too different to replicate it, is exactly what the Ahead series exists to address.

The networking session after the talks continued until late. The conversations kept circling back to the same themes: dispersed tooling as a sign of organizational health, the gap between senior and junior adoption, and whether the role of middle management changes when execution decentralizes.

If you want to explore how Dcycle approaches AI-native workflows in a sustainability software company, let’s talk.