Forward-deployed engineering7 min read
What is a forward-deployed engineer? When to hire one
A clear explanation of what a forward-deployed engineer does, what the role owns, and when an embedded AI engineer is worth hiring.
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Clear answers before you hire an AI engineer or fund a build.
These guides explain the roles, costs, controls, and delivery choices behind production AI work. Use them to define one useful workflow and ask sharper questions before you commit a budget.
Hiring8 min read
How to hire a forward-deployed AI engineer
How to hire a forward-deployed AI engineer: define the first workflow, test production judgment, and agree on ownership before work starts.
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Comparisons6 min read
AI consulting vs forward-deployed engineering
AI consulting vs forward-deployed engineering: compare decision support, delivery ownership, outputs, and the handoff risk between them.
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Comparisons5 min read
Forward-deployed engineer vs solutions engineer
Forward-deployed engineer vs solutions engineer: compare the product boundary, commercial role, delivery scope, and ownership after launch.
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Hiring6 min read
AI automation engineer vs AI agency: which should you hire?
AI automation engineer vs AI agency: choose between an internal hire and an external team based on workload, speed, context, cost, and ownership.
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AI implementation8 min read
What does AI implementation involve?
What AI implementation involves after the demo: workflow discovery, software, data, integrations, evaluation, controls, rollout, and ownership.
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AI implementation7 min read
How much does AI implementation cost?
How much AI implementation costs, what changes the budget, and how Galactus scopes a $5,000 sprint, $20,000+ MVP, or wider scale-up.
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Buying guide8 min read
How to choose an AI implementation partner
A practical checklist for choosing an AI implementation partner: inspect the workflow plan, delivery team, controls, ownership, and exit path.
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AI implementation8 min read
From AI pilot to production: a practical guide
How to move an AI pilot into production with a defined workflow, real integrations, evaluation, operating controls, rollout, and ownership.
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Decision guide7 min read
AI agents vs workflow automation: which do you need?
AI agents vs workflow automation: choose the simplest reliable design by comparing variability, judgment, risk, and operating cost.
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