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Custom product engineering for a bounded release outcome
One defined release of your product, built to named outcomes and handed over with acceptance evidence.
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AI workflow automation with evaluation and human control
One operating workflow automated, with an agreed way to judge it and a person on uncertain cases.
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Legacy application modernization, one bounded capability at a time
The code is assessed first, then one bounded capability moves at a time, with a way back.
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Application maintenance and managed operations, agreed in an assessment
A production system kept maintained and improving under terms agreed after a paid assessment.
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AI workflow blueprint: decide where automation belongs before you build
A paid two-to-four-week project that ends in a scope you can approve, change or stop.
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Technical audit sprint: a bounded evidence pack, not an opinion
A timeboxed project that answers one question with an evidence pack and a decision.
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Fractional CTO and AI transformation advisory: leadership without a full-time hire
Technology and AI transformation leadership on a monthly retainer, with a handover to a permanent hire.
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Quality, security and AI assurance: the gates a release must pass
Standing test, security and AI-evaluation gates wired into your release path.
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Data and AI platform engineering: one foundation your workflows share
Pipelines, retrieval indexes and model operations your AI and analytics workflows can share.
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Cloud platform and DevOps engineering: one platform for apps and AI workloads
Infrastructure as code, CI/CD, inference hosting, observability and cost controls for apps and AI workloads.
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AI engineering enablement: help your own engineers ship with AI agents safely
Agent workflows, tool permissions, review gates and delivery measures adopted by your own engineers.
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