3 customisable OKR examples for Ai Automation

What are Ai Automation OKRs?

The Objective and Key Results (OKR) framework is a simple goal-setting methodology that was introduced at Intel by Andy Grove in the 70s. It became popular after John Doerr introduced it to Google in the 90s, and it's now used by teams of all sizes to set and track ambitious goals at scale.

Creating impactful OKRs can be a daunting task, especially for newcomers. Shifting your focus from projects to outcomes is key to successful planning.

We have curated a selection of OKR examples specifically for Ai Automation to assist you. Feel free to explore the templates below for inspiration in setting your own goals.

If you want to learn more about the framework, you can read our OKR guide online.

Building your own Ai Automation OKRs with AI

While we have some examples available, it's likely that you'll have specific scenarios that aren't covered here. You can use our free AI generator below or our more complete goal-setting system to generate your own OKRs.

Our customisable Ai Automation OKRs examples

We've added many examples of Ai Automation Objectives and Key Results, but we did not stop there. Understanding the difference between OKRs and projects is important, so we also added examples of strategic initiatives that relate to the OKRs.

Hope you'll find this helpful!

1OKRs to boost SOC efficiency via AI enhancements and automation implementation

  • ObjectiveBoost SOC efficiency via AI enhancements and automation implementation
  • Key ResultTrain all SOC personnel on new AI and automation systems to increase proficiency by 50%
  • TaskDevelop comprehensive training modules on new AI systems
  • TaskImplement training sessions and measure proficiency increase
  • TaskIdentify AI and automation training needs of all SOC personnel
  • Key ResultDevelop and integrate at least 2 AI-powered threat detection mechanisms into the SOC
  • TaskIdentify two suitable AI-powered threat detection systems
  • TaskImplement and test integration of AI systems in SOC
  • TaskDesign integration strategy for the chosen AI systems
  • Key ResultDecrease response time to identified threats by 30% through automated protocols
  • TaskOptimize network infrastructure for speedy threat resolution
  • TaskImplement AI-based threat detection tools for real-time alerting
  • TaskTrain staff on new automated threat response protocols

2OKRs to implement HR automation tools to increase efficiencies

  • ObjectiveImplement HR automation tools to increase efficiencies
  • Key ResultTrain 90% of HR staff on using new automation tools effectively
  • TaskMonitor and measure training participation rates
  • TaskIdentify appropriate automation tools training for HR staff
  • TaskSchedule training sessions for all HR employees
  • Key ResultImplement AI-based HR software to reduce recruitment time by 30%
  • TaskResearch and select the most suitable AI-based HR software
  • TaskMonitor key recruitment metrics to assess improvement
  • TaskTrain HR team on utilizing the new AI software effectively
  • Key ResultAchieve a 25% decrease in paperwork and manual processes through automation
  • TaskResearch and implement suitable automation software/tools
  • TaskIdentify and classify manual processes appropriate for automation
  • TaskMonitor efficiency and adjust strategies as needed

3OKRs to implement tech solutions to optimize consulting business

  • ObjectiveImplement tech solutions to optimize consulting business
  • Key ResultReduce response times to client queries by 30% using AI-based Automation
  • TaskImplement AI-powered customer service bots for quick query resolution
  • TaskRegularly monitor and fine-tune AI algorithms for efficiency
  • TaskTrain AI systems using previous client interactions data
  • Key ResultImprove data analysis efficiency by 40% adopting data visualization tools
  • TaskIdentify key metrics for data analysis efficiency measurement
  • TaskTrain team members to effectively use these tools
  • TaskResearch and select proper data visualization tools
  • Key ResultIncrease project turnover by 20% utilizing new project management software
  • TaskResearch and acquire suitable project management software
  • TaskMonitor and analyze project turnover rate regularly
  • TaskTrain team members on new software usage

Ai Automation OKR best practices to boost success

Generally speaking, your objectives should be ambitious yet achievable, and your key results should be measurable and time-bound (using the SMART framework can be helpful). It is also recommended to list strategic initiatives under your key results, as it'll help you avoid the common mistake of listing projects in your KRs.

Here are a couple of best practices extracted from our OKR implementation guide 👇

Tip #1: Limit the number of key results

Having too many OKRs is the #1 mistake that teams make when adopting the framework. The problem with tracking too many competing goals is that it will be hard for your team to know what really matters.

We recommend having 3-4 objectives, and 3-4 key results per objective. A platform like Tability can run audits on your data to help you identify the plans that have too many goals.

Tability Insights DashboardTability's audit dashboard will highlight opportunities to improve OKRs

Tip #2: Commit to weekly OKR check-ins

Setting good goals can be challenging, but without regular check-ins, your team will struggle to make progress. We recommend that you track your OKRs weekly to get the full benefits from the framework.

Being able to see trends for your key results will also keep yourself honest.

Tability Insights DashboardTability's check-ins will save you hours and increase transparency

Tip #3: No more than 2 yellow statuses in a row

Yes, this is another tip for goal-tracking instead of goal-setting (but you'll get plenty of OKR examples above). But, once you have your goals defined, it will be your ability to keep the right sense of urgency that will make the difference.

As a rule of thumb, it's best to avoid having more than 2 yellow/at risk statuses in a row.

Make a call on the 3rd update. You should be either back on track, or off track. This sounds harsh but it's the best way to signal risks early enough to fix things.

How to turn your Ai Automation OKRs in a strategy map

Quarterly OKRs should have weekly updates to get all the benefits from the framework. Reviewing progress periodically has several advantages:

  • It brings the goals back to the top of the mind
  • It will highlight poorly set OKRs
  • It will surface execution risks
  • It improves transparency and accountability

Spreadsheets are enough to get started. Then, once you need to scale you can use a proper OKR platform to make things easier.

A strategy map in TabilityTability's Strategy Map makes it easy to see all your org's OKRs

If you're not yet set on a tool, you can check out the 5 best OKR tracking templates guide to find the best way to monitor progress during the quarter.

More Ai Automation OKR templates

We have more templates to help you draft your team goals and OKRs.

OKRs resources

Here are a list of resources to help you adopt the Objectives and Key Results framework.

What's next? Try Tability's goal-setting AI

You can create an iterate on your OKRs using Tability's unique goal-setting AI.

Watch the demo below, then hop on the platform for a free trial.

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