Sigmoid Agentic AI Survey

1. Has your organization aligned AI initiatives with business goals?

AI initiatives are in early stages without structured alignment to business objectives We have identified 1–3 functions where AI can advance business objectives We are running 4–6 isolated AI pilot projects with limited alignment to business goals We are deploying AI initiatives that are directly driving business transformation in line with strategic goals

2. To what extent has your organization identified workflows AI agents could optimize?

We have not yet formally assessed workflows optimization with AI agents We are in the process of mapping workflows for potential AI agent optimization We have identified relevant key workflows (e.g., 3–5) and are planning to implement AI agents We have have integrated AI agents to optimize business processes

3. Has your organization initiated any pilot projects or proof of concepts (POCs) for Agentic AI?

No, we have not started any Agentic AI pilots or POCs Yes, we are exploring and have initiated 1–2 pilot projects or POCs Yes, we have launched 3–5 pilot projects or POCs in selected areas Yes, we have scaled to 6 or more pilot projects or POCs across functions

1. Describe your organization’s data quality to support Agentic AI initiatives?

Data quality challenges significantly limit our ability to build Agentic AI solutions Manual review and mitigation in place, required about 2–3 times a month Key data sets are reliable, but some areas lack consistency and upkeep Our data is accurate, consistent, and actively maintained across business functions

2. Is AI-ready data easily accessible across teams and systems?

We currently lack processes to prepare and manage AI-ready data AI-ready data is limited and often needs significant work before use We have centralized access to AI-ready data We have democartic access to high-quality, AI-ready data across functions

3. How effectively does your organization integrate structured, unstructured, and synthetic data?

Data remains largely siloed with no integration or synthetic data initiatives in place Data integration exists in silos; synthetic data capabilities are not yet formalized Most internal and some external data are integrated; synthetic data is being used in limited scenarios We integrate all data types and actively use synthetic data to enrich model training and simulations

1. Does your organization have clear governance policies for AI projects?

No defined governance process is currently in place Some informal guidelines are followed, but not consistently Governance structures exist for select AI initiatives but are not organization-wide We have a formal governance framework covering policies, risk controls, and accountability

2. Who is responsible for overseeing AI risks, decisions, and compliance in your organization?

There is no clearly defined ownership or structure for AI oversight Oversight practices are inconsistent or vary across teams and initiatives Responsibility lies with individual project or tech teams A dedicated AI governance body with cross-functional representation

3. What guardrails are in place to manage AI agent hallucinations and unexpected behavior?

No formal safeguards have been implemented yet Mitigation is mostly reactive and handled manually Governance policies are being updated to include such risks Comprehensive policies and real-time monitoring systems are active

1. Is your organizational tech stack prepared to support the deployment of Agentic AI?

We’re still operating on legacy systems with limited AI capability Some foundational upgrades done, but major gaps remain Core systems such as ERP, CRM, or data platforms are being upgraded to support Agentic AI We have a modern, scalable tech stack designed for AI integration

2. Do you have monitoring systems to track the performance, latency, and cost of AI workloads?

No formal monitoring systems are in place for AI workloads Monitoring is manual or reactive, with limited visibility into model performance or costs We have basic monitoring in place, mostly focused on latency and cost Yes, we have robust real-time monitoring for performance, latency, cost, and quality across all AI workloads

3. What level of integration exists between your core systems and AI agents?

We don't have AI agents in our system Any kind of integration is ad hoc and project-specific, handled by third-party vendors Some of our selected systems are integrated in-house with AI models We have seamless integration across data, applications, and AI agents

1. What kind of team structure currently drives AI in your organisation?

We have assembled ad-hoc teams based on project needs Our AI initiatives are delivered by a specialized AI team There is a cross-functional squad with business, tech, and AI experts We have an AI Center of Excellence in our org

2. Does your organization provide regular training on AI skills and tools for business and technical teams?

There is currently no formal AI training or upskilling plan Some teams pursue AI training on their own initiative We offer general AI learning opportunities but not role-specific We have structured, role-specific AI training programs in place

3. Does your organization have access to a skilled AI talent pool?

Limited access; IT team lacks key skills like AI agent design and orchestration Occasionally hire but mostly rely on vendors for specialized Agentic AI expertise Can hire but niche skills like multi-agent systems and reinforcement learning remain hard to find Strong hiring ability; can attract top Agentic AI talent across key skill areas

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Final Score

By Function

By Industry

Strategy

1. Has your organization aligned AI initiatives with business goals?

2. To what extent has your organization identified workflows AI agents could optimize?

3. Has your organization initiated any pilot projects or proof of concepts (POCs) for Agentic AI?

1. Describe your organization’s data quality to support Agentic AI initiatives?

2. Is AI-ready data easily accessible across teams and systems?

3. How effectively does your organization integrate structured, unstructured, and synthetic data?

1. Does your organization have clear governance policies for AI projects?

2. Who is responsible for overseeing AI risks, decisions, and compliance in your organization?

3. What guardrails are in place to manage AI agent hallucinations and unexpected behavior?

1. Is your organizational tech stack prepared to support the deployment of Agentic AI?

2. Do you have monitoring systems to track the performance, latency, and cost of AI workloads?

3. What level of integration exists between your core systems and AI agents?

1. What kind of team structure currently drives AI in your organisation?

2. Does your organization provide regular training on AI skills and tools for business and technical teams?

3. Does your organization have access to a skilled AI talent pool?

Congratulations!
You completed the assessment

Download the customized report for Agentic AI led transformation

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Fuel your data journey with expert content

What we do

By Function

By Industry

Insights

Company

Copyright © 2025 Sigmoid- A Streamvector Company | All Rights Reserved

By Function

By Industry

Strategy

1. Has your organization aligned AI initiatives with business goals?

2. To what extent has your organization identified workflows AI agents could optimize?

3. Has your organization initiated any pilot projects or proof of concepts (POCs) for Agentic AI?

1. Describe your organization’s data quality to support Agentic AI initiatives?

2. Is AI-ready data easily accessible across teams and systems?

3. How effectively does your organization integrate structured, unstructured, and synthetic data?

1. Does your organization have clear governance policies for AI projects?

2. Who is responsible for overseeing AI risks, decisions, and compliance in your organization?

3. What guardrails are in place to manage AI agent hallucinations and unexpected behavior?

1. Is your organizational tech stack prepared to support the deployment of Agentic AI?

2. Do you have monitoring systems to track the performance, latency, and cost of AI workloads?

3. What level of integration exists between your core systems and AI agents?

1. What kind of team structure currently drives AI in your organisation?

2. Does your organization provide regular training on AI skills and tools for business and technical teams?

3. Does your organization have access to a skilled AI talent pool?

Congratulations! You completed the assessment

Download the customized report for Agentic AI led transformation

A detailed report has been sent to your email

Fuel your data journey with expert content

What we do

By Function

By Industry

Insights

Company

Copyright © 2025 Sigmoid- A Streamvector Company | All Rights Reserved

Congratulations!
You completed the assessment