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How we work

Prove it first. Protect it always. Then scale.

A staged path where each stage earns the next. You see working output at every step and steer what comes next. Nothing is built behind a curtain. First measured value in weeks, not six months.

How we deliver

Eight months of difference.

The usual program assesses, designs and builds for the better part of a year before anything runs. We discover, prototype and pilot in the first eight weeks, measure it, then extend the pattern wave by wave.

The usual program

A large team, a long runway, a recommendation at the end.

10 to 20 people
first measured value · month 10
Assess
Design
Build
Deploy
Vai

Experienced business and AI practitioners with an AI build stack. Value in weeks.

Experienced practitioners plus AI
first measured value · week 8, running in your business
Discoverprototype, pilot, live
Wave 2measured, then next
Wave 3measured, then next
Wave 4measured, then next
Wave 5measured, then next
eight months of difference
Adaptive strategyDesign thinkingRapid prototypingAI assisted buildSecurity by designValue modeled at every step

The path

Six stages. A control question at every one.

Adaptive strategy, design thinking and working prototypes, built with an AI stack and governed from the first pilot. Governance runs through every stage, and if the answer to its question is not clear, we do not move on.

01

Executive Alignment & AI Direction

An entry point when the leadership team needs one answer first.

  • Pre-work interviews and a designed working session with the leadership team
  • One agreed view of where AI goes first, what it is worth and who owns it
  • Named owners and a decision rights model, stated in your own financial language
GovernanceWho approves, who owns each automation and what needs a person. Decided before anything is built.
02

Strategic Roadmap

The sequenced portfolio, built to survive a board and a budget cycle.

  • Assess the operating model, the data and the systems as they actually are
  • Score the candidate portfolio on value, feasibility and risk, and sequence it around dependencies
  • A value case per wave, and the first pilot scoped and priced
GovernanceThe governance model and the measures that will report on it, designed before the first pilot is priced.
03

Value Discovery

Map the operating model and find the trapped value.

  • Map systems, handoffs and manual touches as they actually run
  • Prioritize two or three opportunities on value and feasibility
  • Agree the success measures and the baseline up front
GovernanceWhere the regulated or export sensitive data lives, who is allowed to see it, and which systems are in scope for a security review. Named before we look at anything.
04

Pilot Build

Build one high value workflow and prove it.

  • Design the future state workflow with the people who do the work
  • Build inside your own environment, on your own data, next to the current process
  • Compare the result with the agreed baseline, measured and written down
GovernanceThe environment, the access model, the approval thresholds and the audit trail are stood up before the first workflow runs, read only until you say otherwise. A formal review of data flows, model selection, hosting and residual risks before the pilot is extended.
05

Scale & Integrate

Extend the pattern and connect what is behind it.

  • Roll the proven pattern to adjacent work in value order
  • Integrate the systems and the data underneath
  • Connected workflows across your existing systems rather than a shelf of point tools
GovernanceModel and rule versioning, drift monitoring, a named owner for every automation, and a quarterly review of the portfolio against the value it was meant to deliver.
06

Run & Govern

Optional ongoing support, or a clean handover.

  • Monitoring, rule and model maintenance, and drift correction
  • Governance of the AI portfolio, access and audit
  • A quarterly value review against the original baseline, or a handover so your team runs it
GovernanceA named owner for every automation and a review cadence your team keeps, whether or not we stay involved.

Compliance and governance

An unverified process is not a process.

Every stage carries a control question of its own, and a formal review sits before wider deployment. The habit comes from working inside a supply chain where nothing counts until it is verified, and it travels with us into every industry we work in. Everything is written as informed by and built to, never as certified.

An inspector checking large fabricated components on a factory floor

What to expect

Six things you can check us on.

These commitments guide every engagement. Ask us about any of them in the first meeting.

  • The people who sell it build it.

    There is no handoff to a delivery team you have not met and no bench to keep busy. Experienced business and AI practitioners carry the work, and the stack does what a bench used to do.

  • We baseline before we build.

    Most firms measure after. That is how a number becomes unfalsifiable. We pull the baseline in week one, agree it with you, and report against it whether it flatters us or not.

  • We work with the systems you have.

    The legacy ERP is usually load bearing and usually stays. We would rather change the work in front of a system than sell you a replacement you did not ask for.

  • We build alongside, not instead.

    The pilot runs next to the current process until it earns the right to replace it. Nobody has to bet the quarter on our first draft.

  • We will tell you not to build.

    Some work should be fixed with a process change, a data clean up or a conversation, and no AI at all. We would rather say that in week one than sell you a build that will not hold.

  • You keep the asset.

    The environment, the models, the workflows and the documentation are yours. Including if you decide to run it without us. That is the point.

Next

First measured value in weeks, not six months.

Tell us the workflow that costs you the most hours in an ordinary week, or the work you keep turning down because there is no capacity to chase it. Thirty minutes is usually enough to know whether there is something here.

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