AI Readiness in action

You've prepared your Cortex workspace for AI Readiness — what can you do now to maintain readiness and encourage continuous improvement?

Learn more below on how you can prioritize AI-related tasks and gain insights to improve your practices.

Review, prioritize, and complete tasks

Prioritize and complete work from the homepage

Engineers use the Engineering homepage as their personalized daily starting point. It provides a centralized view of key signals and tasks related to your AI projects and readiness standards, including:

  • Active work: See your open PRs, PRs assigned for review, active Jira tickets, and action items from Scorecards and Initiatives, ensuring you are aware of your responsibilities and can quickly address gaps that impact AI Readiness.

  • On-call status: See current and upcoming on-call shifts, helping you stay prepared for incident response.

  • Scorecards and Initiatives: See real-time progress toward AI Readiness standards.

  • Shortcuts: Use direct links to quickly access your owned entities.

Review failing Scorecard rules

When a Scorecard rule is failing, this information is surfaced to you in multiple ways:

Remediate failing rules

When a service falls short of standards, there are different ways you can approach remediation:

  • Use Cortex MCP to get suggestions for remediations. Ask a question such as What are some quick wins for my AI Readiness Scorecard? and the MCP will respond with a prioritized list for you to focus on during remediation efforts.

  • Set up an Initiative to assign and track remediation tasks. For example, you might create an Initiative that asks teams to meet standards on all rules in the Silver level of your AI Readiness Scorecard within the next month.

  • Identify and troubleshoot trends in Scorecards, and consider scalable remediation efforts. Learn more in Review and evaluate Scorecards.

Gain visibility with Eng Intelligence

Eng Intelligence allows you to view organization-wide and historical data, making it easy for leaders to validate the impact of AI readiness programs and for teams to see their progress toward readiness goals.

Analyze trends in the DORA dashboard.

View Eng Intelligence metrics to see how your services, teams, and Scorecards are doing with AI Readiness standards, then take action to promote continuous improvement.

  • See impact: Launch a Scorecard and watch as metrics like MTTR, cycle time, or deployment frequency shift in real time alongside increased usage of AI tools.

    • For example, after you launch an AI Readiness Scorecard, you see a reduction in incidents as standards are being met. The engineering team is running more efficiently, and leadership gains confidence that your systems are prepared to operate reliably with the addition of AI tools.

  • Drive action: When you identify a bottleneck that affects your benchmarks or a gap in AI Readiness efforts, create a targeted Initiative to fix it or add Scorecard rules to your AI Readiness Scorecard to set productivity benchmarks alongside AI efforts.

    • Initiatives send notifications to users asking them to complete tasks by the deadline you configured. Learn more in Initiatives and Action items.

    • For example, you might notice that AI code assistants wire tool outputs directly into commands. Tests aren't updated, and coverage on new code is not meeting standards. After identifying this issue and discussing it with your teams, you find out that some team members haven't been reviewing PRs as closely after the automated AI-assisted review. You ask them to start reviewing more closely, and you determine a path forward to motivate success:

      • You create an Initiative with a name like "Improve quality of PR reviews" and a due date in 30 days, targeting the rule "Test coverage minimum met." In other words, you set a 30-day goal for the team to meet the standard set in this rule, with Cortex sending automated reminders about Initiative due dates to members of the team.

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