Sigmoid Agentic AI Survey - Sigmoid

Skip to content

MENUMENU

What we do
- - - Data Strategy
      
      Data Engineering
      
      Data Science
      
      AI
      
      Generative AI
      
      Agentic AI
Who we serve
- - - By Function
      Marketing
      
      Supply Chain
      
      Data & Analytics
      
      Risk & Compliance
      
      ESG Analytics
  - - By Industry
      Consumer Goods
      
      Financial Services
      
      Industrials
      
      Media
      
      Life Sciences
Accelerators
- - - Marketing Optimization
      
      Supply Chain Operations
      
      Data Analytics and Cloud
      
      Sales Optimization
      
      View All Accelerators
      
      Advanced platform for in-flight marketing measurement
      
      GenAI tool for personalized and brand-aligned creative design
      
      AI-driven platform for optimized campaign budget allocation
      
      GenAI platform to analyze digital conversations and trends
      
      GenAI email assistant that automates human-like responses
      
      Predict trends accurately and optimize inventory management
      
      End-to-end platform to optimize supply chain operations
      
      Track and optimize logistics operations in real-time to quickly address disruptions
      
      Automated procurement operations for maximum savings, compliance and efficiency
      
      Accelerated deployment for machine learning models
      
      GenAI based platform to streamline decision-making in analytics
      
      Comprehensive platform for proactive data quality management
      
      Seamlessly ingest, integrate and harmonize data from diverse sources
      
      Cloud cost optimization platform with multi-cloud management
      
      GenAI driven insights generation for automated insights from reports
      
      Optimize shelf layouts and assortment mix at scale with AI-based insights
Resources
Company
Careers
Contact Us

Strategy

Agentic AI Readiness Index

Step 1 of 2

Strategy

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

Data Readiness

4. 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

5. 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

6. 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

Governance

7. 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

8. 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

9. 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

Tech Architecture

10. 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

11. 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

12. 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

People

13. 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

14. 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

15. 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

Congratulations!
You completed the assessment

Download the customized report for Agentic AI led transformation

By submitting, you agree to Sigmoid's privacy policy.

A detailed report has been sent to your email

Your Agentic Al Readiness Stage:

—

Final Score

Fuel your data journey with expert content

Join our monthly newsletter to access curated content on AI advancements, data engineering, and cloud innovations. Get in-depth analysis and thought leadership content delivered directly to your inbox.

Sign up for expert insights

What we do

Data Strategy
Data Engineering
Data Science
Generative AI
Agentic AI
Accelerators

By Function

Marketing
Supply Chain
Customer Analytics
Data & Analytics
Risk & Compliance
ESG Analytics

By Industry

Consumer Goods
Financial Services
Industrials
Media
Life Sciences

Insights

Case Studies
Thought Leadership
Blogs

Careers

Company

About Sigmoid
Takshashila - L&D
Newsroom

Contact Us

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

Privacy Policy

Search for: