End-to-End Ownership
FDE owns the full automation lifecycle, from analysis to production deployment and maintenance
We provide a dedicated AI Forward Deployed Engineer who works directly with your business and technology teams to identify, design, build, and deploy AI-driven process automation.
FDE owns the full automation lifecycle, from analysis to production deployment and maintenance
A dedicated engineer works directly with your business and technology teams, on-site when needed
One senior full stack engineer does it all, giving smaller companies full delivery without a whole team's cost
































































































































































































































































































































Mapping workflows, decision points, and manual tasks to identify where automation delivers the most value
Designing agent responsibilities, LLM workflows, orchestration, and human-in-the-loop checkpoints
Building production-ready agents that classify, extract, and act on data across your systems
Connecting automations to your CRM, ERP, ticketing, databases, and other enterprise platforms
Implementing guardrails, validation rules, role-based access, and audit logging for safe production use
Building test suites that catch hallucinations, validate tool use, and monitor performance and cost
Deploying, monitoring, and continuously optimizing automations based on real production data
Preparing documentation, standards, and training so your team can take over the solution
Organizations Running Multiple
You are scaling AI automation across many processes and need dedicated, full-time engineering capacity to drive continuous business transformation
Teams With a Defined
You have identified specific automation opportunities and need experienced engineering support to design and deliver them, without full-time hiring
Teams Unsure Where
You know you should act on AI and automation but are not sure where, and want an expert embedded in your team to diagnose problems and spot the best opportunities
You work with a digital health partner with years of experience and deep clinical understanding, including medical experts and PhDs. We operate autonomously, turning complex healthcare needs into market-ready solutions with minimal effort on your side

Work with a team using a proven, repeatable methodology for successful AI automation delivery
Tap into additional Apzumi specialists whenever your project needs new competencies
Scale engineering capacity up or down as your automation priorities change
Avoid dependency on a single internal expert and the risks that come with it
Accelerate delivery using Apzumi's reusable framework, proven base configurations, and integrations
Benefit from engineers trained in ISO 27001, with GDPR-aligned data protection practices from the start
Your engineer works inside your teams to map real workflows, systems, and data, and pinpoints where automation pays off, before any solution is defined.
A narrow proof of concept, built directly on your data and stack, validates the approach and shows value before you commit to a full implementation.
The approach becomes production-grade code, with integrations to third-party systems and data pipelines, replacing processes your teams used to run by hand.
The solution is verified on real edge cases and your own data, often together with end users, to catch operational problems, not just functional ones.
The automation goes live in your production environment, with your engineer close by to monitor first use and react quickly if anything needs attention.
Your engineer keeps tracking usage and edge cases and feeds product gaps back to core engineering, so the solution keeps evolving instead of ending at launch.