AI automation that keeps working after the demo.

“Automate everything. Save 80%. Ship next week.”

Most proposals look alike: an LLM, a workflow tool, a diagram with arrows, a pilot in three weeks. The build gets quoted. What decides whether the automation is still paying off a year later usually doesn’t — so we plan for it from day one:

• i.

  Prompts that need retuning when the model updates.

  Someone has to own that. We name the owner on your team before launch.

• ii.

  Upstream data changes that quietly shift the output.

  Automatic quality checks run every day, so a drift is caught before your customers notice it.

• iii.

  Depending on a vendor for every change.

  We build it so your team can run, change and fix it — with or without us.

• iv.

  The exceptions a demo never shows.

  The share of cases that still need a person, the API that changes every quarter, the new compliance review. We map them up front and design the hand-off to a human.

Three common traps — and how we steer clear.

We see the same three patterns across every sector. None of them are technical, and all three are avoidable when the work starts in the right order.

• i. Automating the wrong process

  Teams often map the official process, not the real one, so the automation learns the slide-deck version instead of the informal hand-offs that actually move the work. We start by watching the real process (Move i), so what gets automated is what your people actually do.

• ii. Tool-first, problem-second

  It’s tempting to pick the model and the tools before agreeing what should improve. Then, at budget review, nobody can say what the project moved. We agree the number first — revenue, cycle time, error rate — and build against it (Move iv).

• iii. No operator inside the loop

  When the build sits entirely outside the team, every prompt change or integration fix depends on bringing the original builders back. Our senior pod works alongside your team, so by handoff your people run it themselves (Move vii).

Seven moves. Same loop. No shortcuts.

Six of these moves are not technical. The model only gets useful at move seven — and only because the first six were done right.

• i. Listen

  Discover the real process in the operator’s own words. Watch a Friday afternoon, not just a Monday standup. Find where the work is silently re-done.

• ii. Quantify

  Make the cost of the current process tangible — hours lost, errors caught downstream, deals delayed. If you can’t name a measurable number, you haven’t finished this move.

• iii. Vision

  Co-create the future state with the team that lives it. Describe success in their language. What gets said on a leadership call when this works?

• iv. Targets

  Agree the measurable outcomes that prove the future state happened. Time-bound. Their KPIs, not ours. The number AI is supposed to move — before a single agent is written.

• v. Map

  Identify what actually needs to be built — in the buyer’s shopping list, not a vendor feature matrix. Half of what gets mapped is process change. Some is software. Almost none is a brand-new model.

• vi. Build

  Execute alongside the team in six-week build cycles with fixed ship dates. Senior operators in the room, no juniors, no subcontracting. The team that ships is the team that learns.

• vii. Automate + Prove

  Leave automation behind, not slides. Workflows, agents, dashboards and integrations keep running after we leave — measured against the Targets from Move iv, with quality checks running and a clear owner on your team.

Want the full mechanics — phases, the pod, the engagement? The Advisory page is the deeper read.

Twelve weeks. First process live by week six.

Each phase ships a concrete artifact that gets used the next day — not a deliverable that gets filed. The work runs against measured Targets agreed by leadership before any agent is written.

• Wk 02

  First Playback. We recite your real process — the one operators actually run — back to you, in your words, and you nod. No automation yet. We’ve listened.

• Wk 04

  Quantified Targets. The cost of waiting is a number you can defend to a CFO. The measurable Targets the framework is supposed to move are signed off by leadership.

• Wk 06

  First process live. One process automated end-to-end and running in production, measured against the week-four Targets. Not a demo — real work, real traffic. This is the six-week promise.

• Wk 09

  Second + third process. Two more shipped on the same loop. Quality checks running. Your team is driving the next one without us in the room.

• Wk 12

  Handoff. Dashboards bound to the Targets, a runbook your team owns, a maintenance plan that doesn’t require us. We leave. Things keep running.

“First process live by week six” is the line we hold ourselves to. If we’re not on track by week four, we say it then — not at the handoff.

Working infrastructure. Not a binder.

Many engagements end with a 60-slide deck and a vendor you need for every change. Ours ends with work that runs the next day — and keeps running after we’re gone.

• i. Workflows in production

  Running against real traffic, not a sandbox.

• ii. Agents wired to your real signals

  Pointed at the steps we could measure — and only those.

• iii. Dashboards bound to your Targets

  The week-four numbers, tracked where leadership can see them.

• iv. Quality checks + an owner on your team

  A maintenance plan you can keep alive without renewing us.

Six companies. The same loop. A different sector each time.

Not vendor case studies. Our founder ran the framework inside these companies as an operator — Head of Engineering, CTO, Head of Innovation, turnaround lead — before it had a name.

• Picap

  LATAM mobility, five countries. Move 07 done right: rebuilt deploy, observability and on-call, then layered ML on routing. 99.9% uptime, 10× volume on the same headcount.
  Read the full case →

• Fluyenta

  B2B enterprise revenue. Moves 02 + 05: rebuilt discovery around procurement reality. 3× deal size, −40% cycle. The motion outlived the consultants — still in production.
  Read the full case →

• Enterprise SaaS

  Enterprise process automation, EMEA + LATAM. Moves 04 + 06: Targets signed before any workshop, then Shape Up to ship the motion. 2× quota, ramp time halved, two continents on one playbook.
  Read the full case →

• ROEPA

  France + Spain, small ops team. Moves 01 + 07: mapped the real flow, automated only what we could measure. Stable in maintenance at ~8 hrs/month — first Nexus AI-seller target.
  Read the full case →

• LexPro

  Colombian legal tech (portfolio). Move 02 done right: firms named their own cost of waiting. Pricing validated at 10× the original number — set by the buyer, not the seller.

• Amplifica

  Marketing tech (portfolio). Moves 04 + 07: Targets defined per brand before the model scored anything. Live at amplifica.studio — output stays inside the brand’s rails because the framework drew them first.

Each engagement above is a single headline. The full ledger — eighteen distinct processes rebuilt, each tagged by the move that did it — lives at The framework, in action →

The full operating portfolio — Lumina, BrainzLab, Sondea, Bite — runs on the same loop. See the portfolio →