Setup Wizard
Create the first organization, admin account, preferred locale, and local operating context without manual database steps.
Assess Your AI Maturity
A customer-hosted platform for running AI maturity assessments, managing role-based participation, scoring results, and generating client-ready roadmaps across developer productivity, DevOps lifecycle, and application platform pillars.
Platform Capabilities
Everything needed to run a single-tenant AI maturity program from first setup through respondent management, scoring, evidence, and final deliverables.
Assessment Campaigns
Create assessments, scope developer counts, invite respondents, track completion, finalize responses, and trigger scoring.
Role-Based Administration
Apply platform owner, assessment admin, campaign manager, viewer, auditor, and respondent access across screens and APIs.
Audience Assignments
Target all questions or narrow the survey by audience, pillar, capability, custom question set, or sampled question profile.
Progress Dashboards
Monitor respondent status, answered-question coverage, invitations, reminders, and scoring readiness from the admin workspace.
Evidence Capture
Attach and review supporting evidence while keeping uploaded files in customer-owned storage for the Docker deployment.
Maturity Analytics
Review pillar scores, capability heatmaps, gaps, strategic motions, and Platform Engineering readiness views.
Client-Ready Deliverables
Generate score justification, transformation roadmap parts, implementation guide content, and workbook exports from the assessment payload.
Access Modes
The platform supports a pragmatic mix of local access, enterprise SSO, invitation-based respondent entry, and RBAC-controlled workspaces.
Local Sign-In
Email and password authentication for self-hosted deployments, including the first admin and break-glass recovery path.
Enterprise SSO
Optional OIDC sign-in with PKCE, domain allow-listing, and group-to-role mapping for enterprise identity integration.
Role-Based Workspaces
Route users to the right workspace for platform ownership, assessment administration, campaigns, read-only review, audit, or respondent completion.
Invited Respondent Access
Respondents enter through scoped invitation links and only see the questions assigned to their audience or campaign.
Three Pillars of AI Maturity
Our framework evaluates your organization across three critical dimensions of AI adoption.
Developer Productivity
Evaluate how AI tools enhance coding workflows, code review processes, and developer experience across your organization.
DevOps Lifecycle
Measure AI integration in CI/CD pipelines, infrastructure management, monitoring, and incident response operations.
Application Platform
Assess AI capabilities within your application architecture, including intelligent services, data pipelines, and platform engineering.
Maturity Levels
Five levels define the progression from traditional development to fully agentic AI operations.
L0
Traditional (Red)
No AI integration. Teams rely entirely on manual processes and conventional tooling.
L1
AI-Assisted (Amber)
Individual contributors use AI tools ad-hoc. No organizational strategy or governance in place.
L2
AI-Enhanced (Blue)
AI tools are standardized across teams with defined workflows, policies, and measurable productivity gains.
L3
AI-Optimized (Green)
AI is deeply embedded in engineering processes. Automated decision-making and continuous optimization are the norm.
L4
Agentic (Purple)
Autonomous AI agents handle complex tasks end-to-end. Human oversight focuses on strategy and exception handling.
How It Works
Get from zero to actionable insights in five straightforward steps.
- 1
Install
Deploy the platform in your environment with a single command.
- 2
Invite Team
Onboard engineering leads and team members to participate in the assessment.
- 3
Assess
Complete structured assessments across all three pillars and maturity dimensions.
- 4
View Scores
Get instant visibility into your maturity scores with interactive dashboards.
- 5
Get Roadmap
Receive a prioritized roadmap with actionable recommendations to advance your maturity.
Strategic Goals
Seven strategic motions that guide your organization toward AI excellence.
S1
Accelerate Developer Onboarding
Reduce time-to-productivity for new engineers with AI-powered guidance.
S2
Automate Code Quality
Leverage AI for automated code review, testing, and vulnerability detection.
S3
Optimize CI/CD Pipelines
Use AI to reduce build times, predict failures, and improve deployment reliability.
S4
Intelligent Incident Response
Deploy AI-driven monitoring and automated remediation for faster MTTR.
S5
Platform Self-Service
Enable teams to provision and manage infrastructure through AI-assisted workflows.
S6
Data-Driven Decisions
Harness AI analytics to inform engineering strategy and resource allocation.
S7
Agentic Automation
Implement autonomous AI agents for end-to-end workflow orchestration.