Turning AI experimentation into measurable impact
London, UK
Joined May 2013
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We are hiring! Looking for talented and curious people in Portugal!
whitesmith.co/careers/
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AI labs now sell agents as teammates. Before one starts, someone has to decide what it may do alone, what data it can reach and who checks its work.
On 25 Nov, 4pm Lisbon, we show how we settle that for our own agents, live.
Free.
whitesmith.co/webinars/
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Hiring 2 Forward Deployed Engineers (AI)!
Not demo, support or ticket work: you sit with users, build the smallest version that runs the whole workflow, then harden it with evals, tests and human controls.
Remote-first, Portugal.
To apply: 5-min demo, no cover letter
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Check all the details about the role, compensation and hiring process here: whitesmith.co/careers/forwar…
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We are hiring talented people who use AI on real work and know where it breaks.
Two roles building AI inside real client systems.
- Forward Deployed Engineer (AI)
- AI Engagement Lead
Remote-first in Portugal.
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A project manager’s week is full of meetings, status updates, and kicking off new work.
Our next webinar will show how AI takes time off each.
First, an assistant you check and approve; then an agent that acts on its own, and what it takes to get there.
Join us!
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On a payments feature we shipped, three agents had one job: prove every security finding wrong. Only what survived went to the tracker that gates the deploy.
We show the full setup and where it still misfires on 14 Oct. Join us!
whitesmith.co/webinar-tech/
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Whitesmith retweeted
AI-pilled in Portugal? I'm looking to hire Engagement Leads and FDEs to work with me.
Apply here: whitesmith.co/careers/
Looking for talent, momentum and results over 20 years of experience with Fable 5.5
We moved security review to every commit. It runs at two speeds: deep checks at design time with a named sign-off, and light checks on every pull request.
Our colleague Pedro will write about this process and will explain it further in our next webinar.
whitesmith.co/blog/From-peri…
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On a payments feature we shipped, three agents had one job: prove every security finding wrong. Only what survived went to the tracker that gates the deploy.
We show the full setup and where it still misfires on 14 Oct.
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We moved security review from a few times a year to every commit. It runs at two speeds: deep checks at design time with a named sign-off, light checks on every pull request.
Join us for our next webinar, where we will show our full step-up!
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One of our clients is spending half a million euros on AI this year, not the way most companies would.
It comes down to two things: making people capable and redesigning how the work gets done. They started with a measured pilot, then scaled.
Training alone doesn't move the numbers.
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The first thing leaders ask about AI is what it will save: hours, headcount, budget. In our own operations, the bigger change was in quality.
You can use AI to drive costs down, but you can also use AI to drive quality up.
Where would consistent quality beat saving a few hours?
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