AI DELIVERY
AI Delivery Playbooks
Practical, battle-tested frameworks for delivering AI-enabled products using senior engineering pods. Move from concept to production with clarity, predictability, and zero wasted cycles.
Executive Overview
Codexium’s AI Delivery Playbooks are repeatable frameworks built from real-world experience deploying AI systems across fintech, SaaS, logistics, and data-intensive platforms. These playbooks combine strategy, engineering discipline, and proven delivery patterns to produce dependable outcomes—in weeks, not months.
What’s Inside the Playbooks
Each playbook breaks complex AI delivery into structured modules:
- Discovery & AI Feasibility — Evaluating business fit, data readiness, and model viability.
- Architecture Blueprints — Reference designs for LLM systems, vector search, retrieval layers, and agent workflows.
- Engineering Patterns — Tested approaches for pipelines, evaluation harnesses, monitoring, and safety guardrails.
- Model Integration Templates — Repeatable code designs for OpenAI, Anthropic, AWS Bedrock, and enterprise LLMs.
- Delivery Playmaps — Week-by-week execution plans using senior engineering pods for predictable releases.
- Risk Frameworks — AI-specific threat models, reliability measures, and fallback strategies.
Why These Playbooks Matter
AI projects often fail due to unclear scoping, brittle prototypes, and lack of engineering rigor. Codexium engineered these playbooks to solve exactly that.
Predictable Outcomes
Structured phases, defined checkpoints, and senior-led execution remove uncertainty and guesswork from AI delivery.
Faster Time to Value
Playbooks accelerate project kickoff, architectural alignment, and deployment timelines through proven patterns.
Want Codexium’s senior engineering pods to implement this playbook for you?