Embedded Architecture and Production Delivery

Build with customers. Deliver production outcomes.

Embed senior architecture and hands-on engineering with customer and domain teams to discover the real problem, build the system, deploy it into production, and guide adoption.

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When this work matters

Conditions that signal an architecture engagement.

  • A high-value AI initiative needs more than recommendations or a disconnected implementation team.
  • Customer workflows and domain constraints must shape the product while it is being built.
  • A prototype needs a senior technical owner who can move between stakeholders, architecture, code, and rollout.
  • The team needs fast field learning without sacrificing governance, reliability, or long-term product direction.

Desired outcomes

What becomes clearer, safer, and more executable.

  1. 01Customer and domain knowledge translated directly into product and architecture decisions
  2. 02A working production system rather than a handoff between strategy and delivery
  3. 03Short feedback cycles across discovery, implementation, evaluation, and adoption
  4. 04Clear technical ownership through integration, deployment, and operational readiness
  5. 05Reusable field learning that improves the product roadmap and delivery playbook
Forward-deployed delivery loopAn illustrative field loop connecting customer discovery, technical scoping, production building, deployment, and adoption evidence.

What CorLuca does

Architecture capabilities

  • Customer, operator, and stakeholder discovery
  • Technical scoping and architecture decisions
  • Full-stack and AI product engineering
  • Enterprise integration and data workflows
  • Evaluation, governance, and observability
  • Production rollout, adoption, and field feedback

What you receive

Engagement deliverables

  • Validated problem and outcome definition
  • Technical scope and target architecture
  • Production-grade application and integrations
  • Evaluation and operational controls
  • Deployment, monitoring, and support runbooks
  • Adoption findings and product-roadmap recommendations

Ways to engage

Start with the smallest engagement that resolves the important uncertainty.

2–4 weeks

Forward-Deployed Discovery Sprint

Embedded discovery, technical scoping, workflow validation, and a working proof focused on the highest-risk assumptions.

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8–16+ weeks

Forward-Deployed Production Build

End-to-end ownership from customer discovery through architecture, implementation, integration, production rollout, and adoption.

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3–12 months

Embedded AI Delivery Lead

Senior customer-facing architecture and engineering leadership across a strategic AI deployment or product portfolio.

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Related architecture

See the decisions in context.

Frequently asked questions

Before an architecture conversation.

How is this different from conventional consulting?

The engagement stays accountable through working software, integration, production rollout, and adoption. Discovery and architecture are performed by people who also contribute directly to implementation.

Can CorLuca work alongside our product and engineering teams?

Yes. Forward-deployed delivery is designed for close collaboration with customer engineering, product, domain, security, and operational teams.

Is this only for new AI products?

No. It can support a strategic customer deployment, an existing product entering a complex environment, a prototype moving to production, or an operational workflow requiring embedded delivery.

Forward-Deployed AI Engineering

Start with the outcome, current system, and constraints.

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