KNOWLEDGE CENTER
The playbooks behind 250+ deliveries
Long-form guides and whitepapers written by the practice leads who run our engagements — reference architectures, decision frameworks, and the checklists we use on real programs. No gated fluff; every document earns its page count.
GUIDES & WHITEPAPERS
Deep work, documented
Each guide distills what our teams learned shipping these systems in production — the architecture decisions, the tradeoffs, and the numbers.
The Enterprise Agentic AI Blueprint
A 5-layer reference architecture for production agent systems: orchestration, tool permissioning, budget enforcement, human checkpoints, and audit. Includes readiness assessment and a 2-quarter rollout plan.
The RAG Implementation Playbook
Chunking strategies, hybrid retrieval, reranking, entitlement filtering, and the evaluation harness that keeps groundedness above 90% — with architecture diagrams from three anonymized production deployments.
AI Readiness Assessment Framework
The 40-point diagnostic our architects run in discovery: data readiness, platform maturity, governance, and use-case economics — scored so leadership can sequence investments by evidence, not enthusiasm.
LLM Application Security Hardening Guide
Prompt injection defenses, tool-call permissioning, output validation, and red-team test suites — mapped to OWASP LLM Top 10 with concrete mitigations and code-level patterns for each risk.
Data Platform Modernization Roadmap
From nightly batch and siloed warehouses to a lakehouse with data contracts and streaming ingestion — a phased 12-month roadmap with the decision points, team shapes, and cost model at each phase.
The Intelligent Automation ROI Model
How to price automation honestly: loaded cost per completed item, exception economics, and the RPA-to-agentic migration math — with a worked model you can populate with your own process data.
Cloud Cost Engineering for AI Workloads
Serving-tier design, the three cache layers that cut inference spend 40–70%, GPU capacity portfolios, and a FinOps operating model for token-based costs — the architecture behind a 3–5x cost gap.
The MLOps Maturity Model
Five maturity levels from notebook-to-production heroics to fully triggered retraining loops — with the specific capabilities, tooling, and org design that move an enterprise from each level to the next.
QUICK ANSWERS
Before you download
The questions readers ask most, answered directly. The full set lives on our FAQ page.
Prefer answers specific to your stack?
A consultation gets you further than a whitepaper: our architects review your systems and map the frameworks in these guides directly onto your roadmap.