AI ENGINEERING & DEPLOYMENT
Most AI projects stall not because the strategy is wrong — but because the people building it haven't done it before. We deploy engineers who have. Embedded in your project, accountable for what ships.
"My engineers had been flagging the same problems for months and I believed them but couldn't act on it. After the diagnostic I had a ranked list of action steps. That's what was missing."
Tim Buric
CTO, Agilyx
CASE STUDIES
YOUR DIAGNOSTIC
We embed directly in your team — however that works for you — reviewing your AI architecture, team capability, and delivery model to give you an honest picture of what's missing.
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We sit with your engineers, leads, and product owners — understanding where AI capability is missing or misaligned, which team members have shipped AI in production before, and what's blocking the work that matters most. We're not running a survey. We're reading the signals from inside the work.
A direct findings conversation. Every constraint named. Every recommendation ranked. No softening. If the problem is that you need AI engineers you don't have, we tell you that. If the problem is that you're building on the wrong platform, we tell you that. If we're not the right fit to fix it, we tell you that too.
WHAT YOU LEAVE WITH
An honest read of exactly what's blocking your AI project — from engineers who've shipped AI in production across Azure, AWS Bedrock, Google Vertex, OpenAI, Anthropic, and Meta Llama
A capability gap map — which AI engineering skills are missing, which are present but misdeployed, which are blocked by something structural
A ranked constraint list — the three things that, if fixed, would get your AI project shipping
A first-move recommendation — the single highest-leverage action, chosen because it unblocks everything else
Deployment options — if Halcrow is the right fit to supply the missing AI capability, we'll outline exactly what that looks like
Objectives is what we measure
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"Halcrow took over an environment that was fragile and opaque, and made it resilient fast. We went from peak-season outages and failed checkouts to a full season of 100% uptime, with clear monitoring and alerts so we were never surprised."
Matt Goodall
Chief Executive Officer
"My team is good. I knew that. What I didn't know was what was getting in their way. Those are very different problems and Halcrow introduced us to the best solutions."
Tim Buric
Chief Technology Officer, Agilyx
"Our engineers really appreciated the immersion. Someone finally coming in who understood what they were dealing with and could translate it upward."
Ryan Leeder
Chief Technology Officer, Sticksecure
WHAT WE DO
Whether you're running on Azure AI, AWS Bedrock, Google Vertex, or working directly with OpenAI, Anthropic, or Meta's Llama — we have engineers who've been inside your stack before and know what production-ready looks like.
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Some clients come to us mid-build with a prototype that won't scale. Some are starting from scratch and need engineers who can make the right architectural decisions before they're locked in. Some have an internal team that's capable but missing the specific AI engineering experience to get to production.
We assess the gap — AI engineers, ML engineers, data engineers, architects — and we deploy the right capability. Embedded in your project, working alongside whoever you already have, accountable for what ships.
We don't diagnose and leave. Once we know what's missing, we can run the engagement ourselves — AI engineers and delivery leads embedded in your project, responsible for getting it to production. Not advising on how it should be done. Doing it.
AI PLATFORMS & MODELS
We build and deploy across every major AI platform — from model to production.
Whether you're running on Azure, Bedrock, or Vertex — or working directly with OpenAI, Anthropic, or Meta's Llama — we deploy engineers who've shipped AI in production environments, not just prototyped it in a sandbox.
WHY IT WORKS
The specific technologies change. The failure patterns almost never do. We know where AI projects waste their first year because we've been inside them — not studying them.
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FAQ
What happens after I book?
Do we have to engage Halcrow after the diagnostic?
We already have AI engineers — why would we bring in more people?
How is this different from an AI strategy consultancy?
Consultation
We get inside your AI project. Capability gap map, ranked constraints, first-move recommendation.
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Our engineers inside your project — close enough to the actual work to tell you exactly why it's stalling and what capability is missing.
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