What we do
Most consultants show up with more technology to sell. We usually start by taking some away.
Agents inherit whatever they’re given. Point one at a messy business and you get a faster, more confident version of the mess. So we figure out what your business actually does, fix the plumbing, then decide what goes to software, what goes to agents and what stays with people. Iain calls it Less Technology.
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Operations assessment
Where most work with us starts. We look hard at how work moves through your business, find where time and money leak, and sort every task into three piles: script it, hand it to an agent, or keep it with a person. You get a map and a ranked list of fixes, each with a fixed price. The map is yours whether you hire us for the fixes or not.
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AI implementation
We build the automations and agents worth building, plugged into the tools you already use. Most clients start with one. After launch we can stay on and keep it working, because AI projects rarely fail on launch day. They fail months later, when nobody’s minding them.
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Technical consulting
Software scoped, designed and built by the same people. A new product or internal tool, a codebase that needs a way in for agents, or one that coding agents keep making a mess of. You get one well-made thing instead of several badly joined ones.
Every project gets a fixed quote, and you own everything we build, down to the last prompt. Not sure which of these you need? Ask your AI. It’ll read up on us, ask about your business and tell you where to start.
This is not our first rodeo (though it may be Garrett’s 47th)
We’ve taken a lot of trips around the sun (and most of them have been on the internet). In other words, there are few problems we’ve not encountered and solved along the way. And we’ve done it for businesses of all shapes and sizes.
Here are some recent problems we’ve solved for organizations just like yours:
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Rebuilding the work before bringing in the robots
We mapped a client’s workflows, sorted what to script, what to hand to agents and what to keep with humans, plugged it into their existing tools and stuck around to keep tuning it.
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Getting vibe-coded software ready for production
We took over a codebase that coding agents had made a mess of, got a stuck team moving again, cleaned it up, gave it a proper way in for agents and shipped it.
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Turning operational chaos into profit
We untangled a client’s siloed billing and on-off-boarding to flip a leaky service line from red to black.
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Automating complexity from research to revenue
We built a tool that replaces a complex multi-step process with an automated pipeline from research to sale (actually, we do this a lot).
We think that your idea/problem should go here.
Latest blog posts
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Chaos or death
AI has made disorder cheap to create. Order still costs leadership attention and decisions, and most firms buy only the tools.I spend a lot of time in other people’s messes. That is, more or less, my job. A company calls because its technology initiative has stalled, and I always find the same scene, just in a different company. Everyone agreed on a strategy deck, and nobody followed it. Staff are using AI tools the business never chose, and Harmonic Security tracked 665 of them across the enterprises it studied in 2025. The person who commissioned it is frustrated that people aren’t follow…
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Workslop: worse but more
In November 1955, a naval historian named C. Northcote Parkinson opened a satirical essay in The Economist with a line that outlasted everything else he wrote. Work expands to fill the time available for its completion. His example was an elderly lady who spent an entire day posting a single card to her niece, a task a busy person would finish in three minutes on the way to lunch.Parkinson’s law now has a sequel, and it is worse. Work no longer expands to fill the time. It expands to fill the capacity. The effort of producing a thing used to carry an implicit question, namely, whether the thi…
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Foomers vs doomers: skilled incompetence and the AI tug of war
foom-er, noun, an ironic malapropism playing on doomerism (AGI fatalists) and FOMO (hustle bros), used to describe techno-optimists. Reflects the onomatopoeic “slowly, then all at once” nature of exponential growth: “AI go foom.”A speaker at one of the many AI conferences that have sprung up like garments on your “clothes chair” (not clean, but not dirty enough to wash) describes the miracles of agent-assisted coding. Year-long rewrites finished in a fortnight, backlogs cleared, and hard problems dissolved by brilliant prompting and clever code harnesses. The audience of true believers laps i…
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Forward Deployed Engineers: AI’s hired guns
The last mile of AI deployment is a real person, sitting in your office, learning your business, writing your plumbing, and making things work reliably. That will remain human for the foreseeable future.Google Trends shows a 5,000% increase in searches for “AI forward-deployed engineer” over the past five years. The curve stays flat from 2021 through mid-2024, then turns vertical. Indeed data reported by Business Insider shows postings for the role rising from 643 in April 2025 to 5,330 a year later, a 729% increase. LinkedIn’s own study found 42-fold growth between 2023 and 2025, making fo…
