A designed process, not open-ended consulting

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1. Discovery

Discovery only starts once you choose it, after the first conversation. It opens with a working session of its own, going through how your team works today: which tools you use, where they help, where they get in the way, and where AI could fit, if at all. You come away with an honest picture of where you stand, before anyone designs anything. Every Discovery follows the same approach, so what you get depends on your business, not on who you happen to talk to.

We producean honest picture of where you stand today

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2. Blueprint

From what Discovery turns up, we design your AI Workspace: which activities get connected, what information and rules belong with them, which existing tools take part, what AI may prepare or carry out, and where the decision stays with you. The Blueprint is that design on paper.

We then walk through it with you in a Blueprint conversation. We take you through the design, and together we settle what is in scope and what is not. You decide there, with the whole design in front of you rather than a summary of it.

Decision gatereviewed and agreed with you before anything is built

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3. Workspace Foundation

This is where we build the base your Workspace runs on: one place where your information, documents, and written rules come together, along with the agreements on what AI may do with them and when something has to come back to you. We set up what you already have and add only what's genuinely missing, and only where the Blueprint calls for it.

We producethe base your Workspace runs on, only where the Blueprint calls for it

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4. Capability Build

When the Blueprint points to something specific you need built (incoming email that sorts itself, client records that stay current, documents prepared in your own house style), we build it. It always traces back to Discovery and the Blueprint. We don't build things you didn't ask for or haven't seen designed first.

Gatealways traces back to Discovery and the Blueprint

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5. Tool Selection Advisory

When it's time to pick tools, we tell you which ones actually fit, based on their own documentation rather than habit or a vendor relationship. This phase is advice only. We recommend; we don't build anything here.

Advice onlywe recommend; we don't build here

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6. Integration Build

Once you approve an integration, we build it into your Workspace. This is where your email, documents, calendar, data, and dashboards actually start working together, shaped around how your people already work, not how a vendor assumes they should.

Gateonly once you approve the integration

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7. Operations

A workspace isn't done the day we hand it over. As your business changes, it should change too. Operations keeps it in step with how you actually work, without turning into something you depend on us for. It's not a subscription or a retainer. It's an occasional check-in when something real changes: new people, new tools, a new way of working. You decide if and when you want it.

Everything we build is yours outright: the Workspace itself, the written rules and working methods, and the connections between your own tools. None of it is something you rent from us. We call what you're left with your Foundations, the working setup your business owns and can run on its own, whether or not you ever call us again. Workspace Foundation is phase three, where we lay that base. Your Foundations are what you keep afterwards. Neither one is Discovery, and neither carries Discovery's price.

You decideoptional, if and when you want it

  1. Discovery reveals the workspace as it is today

  2. Blueprint draws the structure over the same workspace

  3. Build turns the drawing into an operating workspace

What each step costs

The first conversation is free and commits you to nothing. Discovery and Blueprint each have a fixed price. The build gets a figure once the Blueprint is finished, because only then is it clear what has to be built. The amounts, with the explanation that goes with them, are on a page of their own. → What It Costs

What this includes

  • Mapping which activities you carry out day to day, what information they need, and which rules apply to them
  • Settling what AI may prepare or carry out, and where the decision stays with you
  • Connecting email, documents, calendar, data, dashboards, and other existing tools so they work as one
  • Writing down how the work should be done: house style, client preferences, checks, exceptions, and next steps
  • Building an AI Workspace where one piece of work can lead into the next, so information doesn't have to be found or entered again each time
  • Leaving you with an environment you understand, own, and can trust with more of your recurring digital work

The things we write down are not templates for making everyone do the same thing. They are the rules by which your Workspace knows how your work should go: which information takes precedence, which checks are needed, and when something has to come back to you.

An illustrative example (not a real client case)

Say you run a small business, and a client sends you an email with a document and a few new requirements. Instead of opening everything, retyping it, and gathering the rest yourself, you can ask your AI Workspace what has come in and what needs to happen with it.

The Workspace can process the file, record the relevant data, and connect the new information to what is already known about that client. It can see when the last point of contact was, what was agreed before, and, for instance, which currency that client usually pays in.

From the requirements received, a document can then be prepared in your own house style. If a reply is needed, a suitable email can be drafted. If an appointment has to be booked, it can be prepared or scheduled. If that changes the status of a job, that can feed back into the dashboard you use to follow your work. Whatever needs your judgement stays visible until you look at it yourself.

What matters is not any one of those actions on its own. There are plenty of separate solutions already for email, documents, calendars, and automation. The value comes from the Workspace understanding how these activities hang together, what information belongs with them, and what has to happen next.

What you get is not a collection of separate AI tools, nor one automated process, but a working environment you can delegate more and more of the recurring digital work to. What your own Workspace ends up doing is set by the Blueprint: which connections are available, what you want delegated, and where your approval stays required. This is an illustration, not a real client.

What this doesn't include

  • We don't build, train, or fine-tune AI models
  • We don't sell or resell anyone's AI tools
  • We don't replace your email, calendar, or business applications. We bring them in
  • We don't build anything that didn't come out of your Discovery and Blueprint
  • We're not a general software development shop
  • We don't put you on a standing retainer by default. Operations is optional, and you decide if and when you want it

We design how your operations work, including where AI, automation, and integrations fit, and we build those where the Blueprint calls for it. What we don't do is take on custom software outside that scope. When automation is part of the answer, it comes out of a setup designed on purpose, not as the whole point of the work.

Independent of any vendor

We have no commercial ties to any AI vendor or platform. When someone else's tool is the right fit, we'll say so. We have nothing of our own to sell you instead.

Start a conversation

The first conversation is free and commits you to nothing. Discovery is then the first paid phase and the first of your three decisions, and it commits you to nothing beyond itself. What each step costs is here: → What It Costs