Neural Workshops

Half a day on your operation. You leave with a problem solved.

It is not a class: it is a drill on your contracts, your pilots, your agents and your decisions. It ends with a signed record and with something that changed in your operation.

How it works

01

Something on your desk today

Every workshop solves something concrete: a contract up for renewal, a pilot that keeps billing, a decision somebody will ask you to explain.

02

Half a day, with your team

The work is done on your own pieces. AI is in the room as adversary or as tool and runs on the firm's own equipment: none of your data leaves the room.

03

Solved, with a record

What was decided, what was cut and what was put in writing. The record and the result are yours, whether or not you hire anything afterwards.

04

What it does not reach is the engagement

If you then hire the service that follows, the workshop is credited against that engagement.

Tailored

A workshop designed for your team and your operation.

It is built around what your team wants to achieve: leading AI adoption with a clear direction, deciding in committee with everyone aligned, negotiating from strength with vendors, showing with evidence what your AI does, getting the most out of what was already bought, developing tomorrow's experts or building with AI what others can run later. The rule is the same as for every workshop: half a day on your own pieces and something solved by the time you leave.

Tell us in one line what you want to achieve and we reply with a one-page proposal.

Tell us what you want to achieve

Ready to start

12 workshops already designed, each with its outcome defined.

If what you are looking for is among these, it gets scheduled directly. If it is close, it is the starting point for a tailored one.

Money that leaves without anyone deciding

The Invoice, Taken Apart

Arrive at your next renewal with the counteroffer already written.

You leave with

  • The quote for your most expensive contract, taken apart into licences, AI credits and unused features.
  • The licences to cut and the AI add-ons to ask for separately.
  • The counteroffer, written.
  • The comparison against running that AI on your own, with your real load.

Who asks for it. Finance, procurement or technology, before a large renewal. It pays for itself with what stops being paid on a single contract.

Continues with: Technology spend rationalization · Licensed Software Replacement · Where inference runs

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A Funeral for Pilots

Stop funding what will never arrive and fund what will.

You leave with

  • Every pilot judged against a written criterion.
  • The ones that close, with their record: what was learned and how much stops being paid.
  • The three that continue, with an owner, a measure and a budget for the year.

Who asks for it. General management or finance in budget season. It settles what gets approved for each area.

Continues with: AI Prioritization (by Function or Sector) · From use case to production · Investment verdict

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The AI That Is Not in the Inventory

Know which AI your company pays for by card and decide what stays.

You leave with

  • The map of the AI tools the company already pays for, built from its expenses and its network.
  • For each one, the decision: legalize it, consolidate it or cut it.
  • The one-page usage policy that people can actually follow.

Who asks for it. Technology, security or finance. The problem is twofold: duplicated money and company data in services nobody reviewed.

Continues with: Shadow AI inventory · Technology spend rationalization · AI Assistant Adoption (Trust Design)

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Control you will be asked for

The Machine on Trial

Prove why your system decided before somebody asks you to.

In the room. A real decision your system made, a declined loan, a rejected candidate or a denied claim, goes on mock trial. The firm prosecutes and asks for the record; your team rebuilds it in front of the room.

You leave with

  • The complete record of that decision.
  • The template for every other decision that system makes.

Who asks for it. Risk, compliance, internal audit or legal, before an audit, a large client or a claim.

Continues with: Automated decision governance · Independent implementation review · AI regulatory evidence file

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Did a Person Write This?

Have what your AI has to disclose ready, before you are required to.

You leave with

  • What your AI produced in a month, classified.
  • The labelling rule and the disclosure texts ready for chat, email and documents.
  • Live, we test whether a third party can tell what the machine did.

Who asks for it. Compliance, legal or the sales leadership that answers large clients' questionnaires.

Continues with: AI regulatory evidence file · Enterprise readiness

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The Agent Nobody Deprovisioned

Find and close today the agent credentials nobody claims.

In the room. With your administrator in the room, your agents are walked through the six steps of their life: creation, credential, scope, expiry, revocation and log.

You leave with

  • The ownerless credentials, revoked on the spot.
  • The real revocation time, measured.
  • The map of who signs off each step.

Who asks for it. Security or identity.

Continues with: Non-human identity governance · Agentic operation guardrails

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The Exit Is Signed First

Before letting the vendor build your agents, write down how it leaves.

In the room. The vendor's proposal is read against the firm's inheritance checklist.

You leave with

  • The exit annex in operating terms, ready for your lawyer: documentation of what was built, each agent's credentials and who revokes them, who owns the code, the instructions and the evaluation data.
  • The handover tested before the vendor's team leaves.

Who asks for it. Technology or procurement, with the proposal on the table.

Continues with: Investment verdict · Vendor contract and performance audit · AI-Built Software and Agent Rescue

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How Often Is Your Agent Wrong?

Define what counts as an error and leave with the first measurement.

You leave with

  • The written definition of what an error is in that process.
  • Who reviews and with what sample.
  • The first sample reviewed in the room, with the rate as the baseline.

Who asks for it. The owner of the automated process, or operations or finance when they ask how much the agent returns.

Continues with: Production model monitoring · Agent continuity planning

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The bad day

The Worst Hour

Rehearse your next crisis with the press, the regulator and the client all writing to you at once.

In the room. You handle one of your own incidents, reconstructed. The AI plays the journalist, the regulator and the client threatening to leave, each with their own pressure.

You leave with

  • The statement and communication protocol, written and tested.
  • The recording of how the team responded.

Who asks for it. Operations or technology, after the last serious incident.

Continues with: Major incident command · Operational readiness diagnostic · Agent continuity planning · Service operation turnaround

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Building without inheriting problems

Build in the Morning, Audit in the Afternoon

Get the tool your team needs out of the drawer, and get it reviewed.

In the room. Two teams build, with coding assistants, two internal tools they had pending. In the afternoon each one audits the other's, because whoever builds does not validate.

You leave with

  • Two working tools, each with its audit record and the decision on whether it goes to production.
  • The review checklist adapted to your team.

Who asks for it. Technology or the area that has been waiting months for a tool.

Continues with: AI-Built Software and Agent Rescue · Self built software debt · Forward Deployed Engineers · Licensed Software Replacement

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Where Will Your Seniors Come From?

Decide which entry level work keeps being done by hand, on purpose.

You leave with

  • The career ladder of a critical area, with the rungs the machine already does.
  • The tasks reserved for training people.
  • The succession plan.

Who asks for it. Human capital together with the head of a technical area.

Continues with: Mainframe succession program · Nearshore capability build

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For the board

The Frontier at the Board Table

Leave with the board's AI agenda for the year and an owner for every item.

In the room. The work is done on the public edition of the Report and on the problems nobody is attending to today that touch the company. Each one is answered with the one-sentence question the Report brings.

You leave with

  • The agenda for the year, with owners and the date of the first review.

Who asks for it. The board chair or general management.

Continues with: Independent Advisor (to a Committee or an Executive) · Fractional CAIO · Frontier scenarios · Investment verdict

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Which of these would help your team first?

Write to us with the name of the workshop and what it is about. We reply with a one-page proposal.