Agentic Enterprise Maturity Diagnostic

Agentic Enterprise Maturity Diagnostic

Please fill in the survey carefully.
Which industry is your business in?*
What is your annual revenue of your business?*
How many employees do you have?

1,000 - 5,0005,000 - 10,00010,000 - 20,00020,000 - 50,000+50,000
Answer each question on a 1–5 scale:
1 = Not at all true
3 = Partially true
5 = Fully true
Section 1: Data Readiness
1. Our data is accurate, governed, and trusted across functions.*

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1 is Not at all true, 5 is Fully true
2. Key decisions are powered by real-time or near-real-time data.*

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5

1 is Not at all true, 5 is Fully true
3. We have reusable data products feeding multiple teams and systems.*

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1 is Not at all true, 5 is Fully true
Section 2: Automation & AI Integration
4. We have automated repetitive tasks and embedded workflow automation across the enterprise.*

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1 is Not at all true, 5 is Fully true
5. Machine learning models or LLM-driven solutions support key business processes.*

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1 is Not at all true, 5 is Fully true
6. AI systems can trigger cross-functional actions (e.g., open tickets, adjust plans).*

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1 is Not at all true, 5 is Fully true
Section 3: Decision Architecture
7. Most decisions are supported by predictive insights and scenario simulations.*

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1 is Not at all true, 5 is Fully true
8. Decision-making is fast, with minimal hand-offs and escalation bottlenecks.*

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1 is Not at all true, 5 is Fully true
9. Clear guardrails define what decisions humans take and what decisions machines take.*

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1 is Not at all true, 5 is Fully true
Section 4: Agentic AI Capabilities
10. We have deployed AI agents or autonomous modules in at least one business domain.*

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1 is Not at all true, 5 is Fully true
11. Our AI Agents can sense, interpret, and recommend actions without human prompting.*

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1 is Not at all true, 5 is Fully true
12. Multi-agent workflows operate across systems (ERP, CRM, supply chain, finance, HR).*

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1 is Not at all true, 5 is Fully true
Section 5: Operating Model & Culture
13. Teams work in a “human-in-the-loop” mode with AI augmenting day-to-day decisions.*

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1 is Not at all true, 5 is Fully true
14. Leadership actively sponsors AI-driven operating model shifts, not just tooling upgrades.*

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1 is Not at all true, 5 is Fully true
15. Skills, talent, and incentives are aligned to an agentic, data-driven operating model.*

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5

1 is Not at all true, 5 is Fully true
Thank you for answering this short survey.

So is you company:

Reactive 0–39

Emerging 40–54

Adaptive 55–69

Orchestrated 70–84

Agentic 85–100

Just share your Name and email address here below and we will be delighted to share with you the results and quick analysis.
Name*

First NameLast Name
Email*
example@example.com
Should be Empty: