What we do
Four ways we take a process from pilot to daily operation.
Four routes from a business problem, or a stalled pilot, to a system running every day. Each ends in production on your accounts, with a written boundary, a measured result and a log your team can read.
AI agent development
Two to eight weeks, then a retainer
Remove manual work from processes that can be measured.
We redesign the process, then build the system around it: agents scoped to one job, with limits you can see and a log you can check.
Scoped in writing
Human review where a mistake is expensive
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Data and reporting automation
One to eight weeks, fixed fee
Make business information usable.
Your data lands in one place you can query, including the data trapped in documents, and the reports assemble themselves from figures computed in code.
Fixed fee
Raw data exported to you
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AI product development
Six to twelve weeks, fixed fee
From nothing to live in weeks, and you keep the repository.
A complete product: website, database, logins, payments, email and analytics, built in weeks and handed over with the code.
Fixed fee
The repository transfers at handover
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AI consulting and assessment
Two weeks, fixed fee
Find the opportunities worth funding, and the ones that are not.
A fixed-scope opportunity assessment that maps where time actually goes, costs the current process as a baseline, and tells you plainly what to automate first and what to leave alone.
Fixed fee
Credited in full against any build
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Twenty workflows we have already built.
Named jobs, each one running in production for a client or inside one of our own products. If your problem is one of these, start on its page: it names what the workflow does, where it already runs and what you receive.
Research and intelligence
Customer-facing
Every one is running in production today.
How an engagement runs.
Three steps, each with a fixed shape. You can stop after any of them with something useful in hand.
- 1
A two-week assessment, fixed fee
We talk to the people doing the work, map where the hours go, and cost the process as it runs today so any build can be measured against it. You get a one-page recommendation with an explicit do-not-automate-yet list. The fee is credited in full against any build that follows.
- 2
A build, two to twelve weeks
Scoped in writing before it starts, with the workflow redesigned rather than automated as-is. Every build hands over the repository, the accounts and a runbook. Every agent carries a monthly line for running and improving it, because agents drift.
- 3
A measured result
After deployment we read the same measures we took at the start, the same way, so the business can see what changed. We do not publish prices, because the honest answer depends on scope. You get a figure after the first call, and the assessment fee is fixed before it starts.
Each step ends with something you keep, whether or not the next one happens.
Make the next AI project one the business can measure.
Thirty minutes with the founder, no slides. You will know what the right solution looks like, what it would take to build, what it should return, and which part to start with.
Replies come from a named person in Dubai within one working day.