Encora - AI SDLC

Realize the transformative impact of generative AI in the SDLC and unlock productivity and quality gains by effectively deploying Amazon Q Developer and the proper governance processes to measure and realize ROI.

The 12-weeks service offering provides a structured approach to enable an AI SDLC at the Individual Contributor level by optimizing current governance processes to include AI-driven metrics and train engineers to rapidly and effectively adopt Amazon Q Developer in engineering activities. Laying down the foundation to scale up in the future with additional accelerators, processes, and tools built on the AWS ecosystem, including AWS Bedrock and Amazon Q Business, to improve even further on the productivity and quality gains realized through effective AI adoption.

Process Overview:

Phase 1: Assessment (2 weeks)

· Assessment of engineering practices: execution and governance

· SDLC processes

· Governance processes

· IT infrastructure and tech stack

· Engineering Team(s) structure, talent pool, skillset

· Policies, security guidelines and constraints

· Preliminary data gathering on the client's current AI initiatives (if any)

· Review of organizational strategy and goals and relation to engineering strategy and goals

Deliverables from Phase 1:

· Governance gap analysis document

· Adoption and training plan document

Phase 2 Enablement (10 weeks)

Activities:

1. Governance optimization:

2. Adjust or define productivity and quality metrics

3. Optimize governance processes to incorporate AI-specific productivity and quality metrics

4. Drive improvements to the processes for better engineering management

5. Training workshop for selected engineering teams

6. Guided adoption: Continuously oversee usage of deployed AI tool and provide support to engineers on effective usage and best practices.

Deliverables from Phase 2:

· Updated governance documentation, metrics, and processes.

· Baseline vs improved metrics reports.