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Technology consulting, from the decision to the build

What to build, what to buy, what to connect, and somebody who stays to run it.

Removes: the deck that ends at a recommendation.
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In short

Technology consulting here means deciding what a company should build, buy or connect, and then doing it. Websites and apps, chat assistants, admin dashboards, systems integration, process automation, data and reporting, and the operations around all of it. It is not managed IT. We do not run your network, your devices or a helpdesk, and if that is what you need we will say so on the first call. The work starts with one specific problem, ends on a date we name, and leaves you with something your team owns rather than a recommendation you now have to find somebody to implement.

Work it out in a minute

Where is your business losing value? →

Nine questions across revenue, capacity and control. Shows which of the three is costing you most, and where to start.

What we take on

Deciding, then building

Most technology advice stops at a recommendation and hands you the hard part. We make the call with you and then build it, which means the advice has to survive contact with the work. That changes what gets recommended.

Build, buy or connect

Three answers to most questions and the third is usually right. Companies rarely need new software. They need two or three connections between what they already own, and that costs a fraction of replacing either side.

Websites, apps and the things customers touch

Sites that load on a phone on a slow connection, apps on both stores, chat assistants that answer from your own material. Built to be handed over, with the code and the accounts in your name.

Dashboards and reporting

One page with the three numbers you would act on this month, updating itself. Most reporting projects start from a tool and end in a dashboard nobody opens, so we start from the decision instead.

Integration and automation

One owner per record, the handoffs where work waits, and the repeating tasks that are high volume and rule shaped. Measured first, automated second, in that order.

AI where it pays

One use case chosen on numbers, the data rules written down, hours measured before and after. Built on daily work with the tools rather than on a vendor deck.

Not managed IT

No networks, no device fleets, no helpdesk, no break-fix contract. Good managed IT firms exist and we will name one. What we do sits above that layer, on the systems the business runs on.

Senior people, one point of contact

Engineers, writers, analysts and operators across three continents, with one person running the engagement end to end. You brief once.

What technology consulting should leave behind

The test of this work is what is still standing six months later. A recommendation is not standing, because somebody has to implement it and that somebody is usually the person who was already too busy. A build with no owner is not standing either. What stands is a system your team uses without thinking about it, documented well enough that the person who joins next year can change it.

That shapes how the work runs. We measure a real week before proposing anything, because the constraint is almost never where the meeting says it is. We fix the worst handoff by hand first and write down what we did, because automating a process nobody has agreed on produces two problems. Then we build, in the order that returns hours soonest rather than the order that demos best.

It also shapes what we say no to. If the honest answer is a spreadsheet, it is a spreadsheet. If the honest answer is that the tool you already pay for does this and nobody has switched it on, that is the answer and it takes an afternoon. Consulting that only ever concludes in a project is not consulting.

Companies come to this somewhere between the founder still doing everything and a real technology function existing. Usually between one and fifty million in revenue, with staff, more than a couple of systems, and nobody whose job it is to make them work together. Smaller and larger both happen, and the size matters far less than whether there is one specific problem to start on.

Questions we get

How is this different from an IT company?

An IT company keeps the lights on: networks, laptops, accounts, security patching, a helpdesk when something breaks. That is a real discipline and it is not this one.

This is the layer above. What the business runs on rather than what it runs through. Most companies need both, and the two rarely compete for the same budget.

Do you build, or only advise?

Both, and the building is the point. Advice that never meets implementation drifts, because the constraints only show up once somebody starts.

You can buy the decision on its own if that is genuinely all you need. Most people who ask for that turn out to want the thing built.

What if we already have developers?

Then you probably do not need us to write the code, and we will say so. What in-house teams more often lack is a week to step back, an outside read on which internal process is worth the roadmap slot, and somebody to own the parts nobody wants.

We work alongside internal teams more often than instead of them.

Which technologies do you work with?

Whatever you already run, in almost every case. The value is usually in the connections between existing tools rather than in a new platform, so the first pass is an inventory of what is there and what it is actually used for.

Where something new is genuinely needed we choose it for how easily your team can run it after we leave, not for how interesting it is to build.

What happens on a first call?

Twenty minutes. You describe what is not working, we ask questions, and you leave knowing what is causing it and where we would start.

You keep that whether or not anything follows. If the answer is that you do not need us, that is what you will hear.

Do you work with companies outside the United States?

Most clients are in North America and the work is remote by default. We also work with companies in London, Dubai, Abu Dhabi, Singapore, Toronto and Sydney.

There is a page on this site for each of those places, and for eighteen more.

Choosing between firms? Nine questions to ask a technology consultant, and what a good answer sounds like.

More in the guides and every answer in one place.

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Bring the problem

Twenty minutes with a practitioner. You leave knowing what is actually causing it and where we would start.

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Who does the work

Shaheer Shaikh, C-suite operations lead for a San Francisco AI company working with global pharma on clinical trial data and model benchmarking. Six Sigma on the process side, Anthropic certified on the Model Context Protocol, ten years across eight industries. See what we have built