Gen AI People Capability Assessment
Determine your software engineering teams' readiness to adopt and integrate AI tools with our thorough capability assessment.
Our Assessment Approach
At ausbiz Consulting, our Gen AI consultants provide a thorough capability assessment to help identify and prioritize improvements in skilling, tooling, and process enhancement.
Our process includes a detailed evaluation across multiple roles and phases, helping you to:
- Identify current capabilities and maturity levels across teams
- Prioritize targeted improvements in skills, tooling, and processes
- Develop a customized roadmap for successful AI adoption
- Measure progress with clear, actionable metrics
We begin each engagement by developing a customized framework that is perfectly aligned with your team's unique challenges and objectives.
Comprehensive Assessment
Evaluate capabilities across multiple roles and phases
Maturity Scoring
Clear metrics with a 0-5 scale to measure progress
Role-Specific Focus
Tailored assessments for each team function
Actionable Roadmap
Clear timeline for implementation and improvement
Our Assessment Framework
The following table outlines a sample of our AI People Capability Assessment across various roles.
Please note: This is only a sample of our comprehensive framework. We customize the framework for each client engagement.
Maturity Criteria Scale
Level 0: No usage or awareness of AI/LLM capabilities.
Level 1: Initial or experimental usage with isolated trials.
Level 2: Ad hoc or inconsistent usage with basic outcomes.
Level 3: Defined, standardized processes in place with repeatable results.
Level 4: Advanced integration, measurable impact, and proactive improvement.
Level 5: Fully optimized, continuously evolving practices with full automation/integration and clear business benefits.
| Role | Focus/Phase | Capability/Assessment Item | Maturity Criteria (0–5) | Category |
|---|---|---|---|---|
| Full-stack Software Engineers | Design/Prototyping | Use of LLMs for creating mock-ups & prototypes | 0: No usage 1: Isolated experiments without integration 2: Occasional, manual mock-ups 3: Process-driven usage in prototyping 4: Advanced integration with feedback loops 5: Fully automated, optimized generation across projects | Tools |
| Full-stack Software Engineers | Development | LLM-assisted code generation and prototype development | 0: No usage 1: Experimental, non-repeatable trials 2: Inconsistent usage in generating code snippets 3: Defined approach with moderate integration 4: Advanced use with iterative improvements and measurable quality gains 5: Fully embedded in the development lifecycle with continuous improvement | Tools |
| QA Teams | Test Automation | Automated test script generation via LLMs | 0: No integration 1: Initial, infrequent trials 2: Basic automated scripts generated with manual intervention 3: Standardized process for script automation 4: Scalable approach integrated into CI/CD with measurable reliability 5: Predictive, self-healing test suites fully integrated into the pipeline | Tools/Process |
| Data Teams | Data Analysis & Quality | Use of LLMs to accelerate data quality assessments | 0: No AI usage 1: Initial exploration with basic insights 2: Ad hoc checks with limited impact 3: Standardized quality assessment processes 4: Advanced, real-time insights with measurable data quality improvements 5: Proactive, predictive quality management integrated into data pipelines | Tools |
Assessment Process
Our structured approach ensures comprehensive evaluation and actionable insights
Discovery
Initial consultation to understand your team structure, existing workflows, and specific challenges or opportunities with AI adoption.
Assessment
Detailed evaluation of current capabilities across teams using our customized framework, identifying strengths and improvement areas.
Analysis
Deep analysis of assessment results, benchmarking against industry standards, and identifying priority improvement areas.
Roadmap
Development of a customized improvement roadmap with clear milestones, training recommendations, and process enhancements.
Why Choose Our Assessment
Our Gen AI capability assessments go beyond simple evaluation to deliver tangible business outcomes
Customized Assessments
Tailored evaluations that align with your team's specific needs and maturity levels, considering your industry, tech stack, and business goals.
Actionable Roadmap
Detailed implementation plans with clear priorities, timelines, and resource recommendations to maximize ROI from AI adoption.
On-Site Consultation
Option for short-term on-site engagements to accelerate your Gen AI adoption and integration with hands-on guidance.
Best Practice Sharing
Access to our extensive knowledge base of Gen AI implementation best practices gathered from successful client engagements.
Skills Development
Targeted training recommendations to upskill your team in the most relevant AI capabilities for your business needs.
Measurable Outcomes
Clear metrics to track progress and demonstrate the business value of your AI capability improvements over time.
Ready to assess your team's Gen AI capabilities?
Contact us to schedule a consultation. We'll discuss how our assessment can help your team successfully adopt AI tools, share best practices we're using internally or seeing at other client sites, and develop a customized roadmap for your organization.