Score

Agentic AI Readiness Assessment

I understand it as an evolution of automation.

It refers to AI that can make decisions independently.

It involves AI agents that can plan, adapt, and take action autonomously.

Our organisation is actively researching or implementing Agentic AI.

What is the capital of Bulgaria?

Some basic automation (e.g., scheduled reports, email filters, task reminders)

Automated workflows for specific functions (e.g., approval processes, marketing automation, inventory tracking)

Cross-department automation (e.g., automated decision support, predictive analytics, integrated workflows)

Highly automated operations with minimal manual intervention

How does your organisation currently leverage automation in its operations?

Fully manual – All decisions and processes require human input

1-30% of Autonomy – Some processes are automated, but humans make all decisions

31-50% of Autonomy – Automated systems suggest actions, but human intervention is still needed for major decisions

51-70% of Autonomy – Systems make routine decisions, with humans only handling exceptions

Above 71% Autonomous – Systems operate independently with minimal or no human oversight

How would you describe your organisation’s current level of autonomy?

Administrative tasks (e.g., email sorting, scheduling, document management)

Finance & accounting (e.g., invoice processing, payroll automation, expense tracking)

Customer support (e.g., AI chatbots, automated ticketing, call routing)

Sales & marketing (e.g., CRM automation, lead scoring, email marketing campaigns)

HR & recruitment (e.g., resume screening, onboarding workflows, employee performance tracking)

Supply chain & logistics (e.g., inventory management, demand forecasting, shipment tracking)

Operations & production (e.g., manufacturing automation, predictive maintenance, quality control)

IT & security (e.g., system monitoring, automated backups, cybersecurity threat detection)

In which areas do your organisation currently use automation? (Select all that you know)

100% manual intervention – AI-generated results are reviewed and fully processed by humans before proceeding.

75-99% human intervention – AI assists in generating results, but significant human review and approval are needed.

50-74% human intervention – AI results are partially integrated, with human adjustments required in most cases.

25-49% human intervention – AI results are mostly integrated, but human approval or oversight is still required.

0-24% human intervention – AI results are fully or nearly fully integrated into workflows, with minimal human involvement.

What level of human intervention is required when incorporating AI-generated results into non-AI workflows?

Some data is stored digitally, but not in a unified system

Some departments can access shared data, but not all

Fully centralised, AI-ready infrastructure with seamless data access

Does your organisation have a centralised AI-ready data infrastructure?

Data is siloed, and AI cannot access it efficiently

Some data is digitized but not structured for AI use

AI-driven reports are available, but data is not fully optimised

Data is fully structured, accessible, and AI-ready

Is your organisation’s data structured and AI-ready?

No restrictions—AI can be used freely across workflows

AI tools (e.g., ChatGPT, Copilot) are restricted due to data security concerns

AI-driven decision-making is not permitted without human oversight

AI-generated content must be reviewed before external use

Only approved AI tools can be integrated into company workflows

AI automation is limited in highly regulated functions

AI is restricted for customer-facing interactions without human validation

Agentic AI Readiness Assessment

Which of the following best describes your understanding of Agentic AI? (Select all that apply)