Most teams use AI but can't measure the impact. The workshop takes you from L1 to L3. Advanced engagements target L4–L5.
Each step builds on the last. By the end, every AI-assisted action is tracked, validated, and visible.
Everything your team needs to sustain AI-DLC practices after the workshop. Copy into any repo and go.
Pre-built project configs for backend, frontend, and platform teams.
Kiro-compatible specs for APIs, data models, integrations, and agent workflows.
Bedrock Evaluation runner with pre-built rubrics for API, code, and security quality.
Reusable Actions for AI metrics, eval gates, and weekly DORA assessments.
Auto-install prepare-commit-msg, post-commit, and post-merge hooks for metadata tagging.
PRISM layers on top of tools your team already uses — no rip-and-replace required.
Jira, Linear, VersionOne, Azure Boards, Shortcut, and other sprint/kanban trackers. PRISM correlates AI metrics with story throughput and sprint velocity.
GitHub, GitLab, Bitbucket, CodePipeline, Jenkins, CircleCI. Git trailers and webhook collectors work with any Git-based workflow.
CloudWatch, QuickSight, Grafana, Datadog, Jellyfish, Swarmia. Export metrics via EventBridge to any downstream analytics platform.
Amazon Bedrock, Claude Code, Kiro, Q Developer. Track which models, tools, and sessions contribute to each commit and PR.
10 metrics tracked end-to-end, from commit to executive dashboard.
No third-party observability dependencies. Everything stays in your AWS account.