DEEP TRANSFORMATION
Organization-Wide AI Engineering Adoption
The version for larger organizations. We build a dedicated agentic plugin with your skills and commands, design architecture that fits your security requirements, run the executive briefing, and lay out a 90-day rollout plan across teams. At Insly, the same engagement cut delivery time from 4 weeks down to 1.
Key Features
Multi-week immersive program with persistent agent infrastructure
Team-wide adoption with internal champions and shared methodology
Custom agent fleet built and tuned for your domain
Production deployment with monitoring and continuous improvement
How We Work Together
A proven methodology that delivers results
Discovery
We start with understanding your business, challenges, and goals through workshops and interviews.
Design
Together we design the solution architecture and create a detailed implementation plan.
Deliver
Iterative implementation with regular demos and feedback loops to ensure alignment.
Support
Post-launch support, knowledge transfer, and ongoing optimization recommendations.
Use Cases
- Teams running agentic projects without external help
- Organization-wide adoption of agentic engineering practices
- Training team leads to coach others on AI-powered workflows
- Building durable competitive advantage with AI engineering
Ideal For
- Teams committed to a multi-week transformation
- Companies seeking full AI engineering autonomy
- Organizations investing in long-term capability
Not Ideal For
- Teams looking for a one-off proof-of-concept
- Teams smaller than 3 developers
- Companies without an active product backlog
Deliverables
Deliverables
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01Dedicated agentic plugin rolled out across the organization, with your skills and commands
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02Security-reviewed AI integration architecture
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03Internal champions trained to lead future agentic initiatives
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0490-day transformation roadmap with quarterly check-ins
Technology Stack
Timeline
5 days + follow-up
Estimated project duration
Related Case Studies
RAG Document Processing System
At Insly, I led development of a RAG (Retrieval-Augmented Generation) system that gives insurance brokers fast, context-aware answers about policy details. The system combines traditional search with vector embeddings to handle complex queries across 23 different insurance providers.
Challenge
Insurance brokers needed to quickly find relevant information across thousands of policy documents from 23 different insurers, each with unique formats and terminology.
Microservices Migration
CloudAcademy needed to migrate their content authorization service from Kotlin to Go as part of a broader standardization effort. I led this migration while ensuring zero downtime and creating new microservices following DDD patterns.
Challenge
Legacy Kotlin service had performance bottlenecks and was difficult to maintain. Team needed to standardize on Go for better consistency across microservices.
Ready to Transform Your Business?
Let's discuss how I can help you achieve your goals. The first consultation is free.