Where does your business stand on AI maturity?
Take our 3-minute poll and access tailored recommendations.
Question 1/4
How much human effort is required to execute repetitive or routine processes in your organization?
Question 2/4
To what extent do your systems or tools make decisions without requiring manual input?
Question 3/4
How often do your processes contribute to the creation of new strategies, solutions, or outputs?
Question 4/4
How well do your systems or processes adapt to changes or recover from disruptions?
Your AI maturity level is:
Automation (stage 1) → Machine Learning (stage 2)
Automation (stage 1) → Machine Learning (stage 2)
1 1.9
AI is automating routine tasks, but decision-making still relies on human input. Moving to Machine Learning means using AI to generate insights and assist decisions.
What to focus on next:
1
Identify Data-Driven Opportunities: Focus on processes that generate useful data (e.g., sales trends, customer feedback) and explore how insights from this data could improve decision-making.
2
Reduce Decision Bottlenecks: Look for areas where repetitive decisions slow down the business and explore tools to provide smarter, faster recommendations.
3
Standardize Process Metrics: Ensure your business is consistently measuring performance, so you can start using historical patterns to guide future decisions.
Your AI maturity level is:
Machine Learning (stage 2) → Human-AI Hybrid (stage 3)
Machine Learning (stage 2) → Human-AI Hybrid (stage 3)
2 2.9
AI provides insights, but humans still act. The next step is enabling AI to execute within guardrails and build trust through collaboration.
What to focus on next:
1
Improve Decision Quality: Use systems to support employees in making more accurate, data-informed decisions, such as forecasting demand or optimizing resource allocation.
2
Foster Collaboration Between People and Systems: Create workflows where employees can validate, adjust, or enhance system outputs to build trust and improve results.
3
Expand Smarter Processes Across Teams: Identify additional areas—such as marketing, customer service, or operations—where smarter tools could improve efficiency and outcomes.
Your AI maturity level is:
Human-AI Hybrid (stage 3) → Generative AI (stage 4)
Human-AI Hybrid (stage 3) → Generative AI (stage 4)
3 3.9
AI supports decisions, but not creation. Advancing means using AI to generate content, ideas, and solutions that drive commercial impact.
What to focus on next:
1
Automate Creative Tasks: Focus on processes like drafting customer communications, developing marketing materials, or creating business proposals to save time and scale output.
2
Encourage Innovation Through Technology: Use generative tools to help teams develop new ideas, like product concepts or personalized customer experiences.
3
Streamline Content-Heavy Workflows: Identify functions like sales, customer service, or marketing where significant time is spent on content creation and explore tools to automate these efforts.
Your AI maturity level is:
Generative AI (stage 4) → Agentic AI (stage 5)
Generative AI (stage 4) → Agentic AI (stage 5)
4 5
AI creates content but needs oversight. Agentic AI acts independently, adapting in real time and driving decisions across the business.
What to focus on next:
1
Empower End-to-End Autonomy in Complex Areas: Identify workflows that are dynamic and time-sensitive (e.g., real-time customer support, inventory management) and allow systems to act independently with clear guardrails.
2
Adapt to Rapid Market Changes: Leverage systems that can monitor and respond to changing market conditions or customer behaviors without manual intervention.
3
Focus on Strategic Innovation: Use self-sustaining systems to continuously drive innovation in areas like product development, service delivery, or operational efficiency.