Scaling impact in the agentic era requires a shift in approach to AI by enterprises, from passive tools to agentic systems that can act autonomously within business processes.
The next wave of enterprise AI isn’t just generative, it’s agentic. What was once a curiosity is now a top priority for business and technology leaders. Agentic AI is redefining workflows through intelligent, autonomous systems that handle complex tasks, adapt in real-time, and keep humans in the loop for oversight.
Breaking free from automation’s limits, AI now drives enterprise growth and transformation. Despite strong interest, most initiatives are still in the early or pilot stage.
Realising the full potential of agentic AI demands a shift from use cases to business processes, siloed AI teams to cross-functional transformation squads, and changes to the AI architecture for interoperability. Sigmoid is one of the companies helping drive this change.
Founded in 2013, Sigmoid was built on two core beliefs: better data leads to better decisions, and most organisations lack the systems to use data effectively.
Since then, it has helped large enterprises become data-driven by aligning data and AI with business goals, and continues to build custom AI solutions that deliver tangible business outcomes.
From Automation to Autonomy
Agentic AI holds immense potential to streamline operations, elevate decision-making, and drive innovation across industries. By 2027, half of all business decisions will either be automated or supported by intelligent agents. This represents a fundamental shift in how decisions are made and executed across functions.
“As businesses move beyond efficiency and prioritise growth and value-chain reinvention, Agentic AI is leading this shift by enabling intelligent, autonomous systems that accelerate innovation. Sigmoid empowers enterprises to gain a competitive advantage by transforming business processes, leveraging AI agents powered by strong data foundations and contextual knowledge,” said Lokesh Anand, CEO and Co-Founder of Sigmoid.
To enable this transformation, Sigmoid provides comprehensive agentic AI services spanning consulting, redesigning business processes, developing and deploying custom agents, and efficiently managing them in production.
For instance, Sigmoid built an Agentic AI tool for a global consumer goods company to automate audit and compliance checks of marketing content across channels. Trained on inputs from legal and regulatory teams, the tool reduced approval times by 50%, delivering real-time checks on text and visuals to uphold brand standards and regulatory compliance.
Building the Foundation for an Agentic Era
AI agents are only as effective as the data and infrastructure that support them. According to Nasscom, 68% of enterprises are focused on improving data governance, while 62% are investing in integrating structured and unstructured data.
These efforts signal a broader shift as organisations adopt Agentic AI for scalable data engineering to meet growing demands for speed, flexibility, and reliability.
As enterprises transition, they confront long-standing challenges such as fragmented architectures, inconsistent data, and rigid automation tools that cannot adapt to changing inputs. Agentic AI provides a more flexible alternative.
Built on large language models (LLMs) and multi-agent frameworks, these systems can reason, learn from feedback, and operate independently across data ingestion, transformation, quality, and governance.
Sigmoid deploys these systems across enterprise data workflows to reduce manual effort and accelerate the path to insight. A global MedTech leader faced slow R&D cycles due to fragmented data across SAP systems and unstructured Design History Files. Sigmoid’s Agentic AI solution enabled intelligent search and summarization, resulting in a 20% improvement in R&D process efficiency.
Effective Agentic AI requires governance, observability, and traceability from the start. Along with lifecycle management and responsible AI practices, these elements establish a foundation for long-term reliability. Use of AI-ready data to support AI initiatives requires evolutionary changes to data management and upgrades to data architecture, skills, and processes.A leading infant nutrition brand partnered with Sigmoid to modernise data operations using Agentic AI. Agents monitored system health, classified issues, and triggered automated fixes- helping maintain uptime, reduce operational noise, and enhance observability across complex data environments. The solution enabled 70% faster issue detection, improved reliability, and cut manual effort and overhead costs by 30%.
The Five Pillars
To thrive in the agentic era, enterprises must reinforce five core pillars. First, talent readiness requires upskilling teams and defining new roles aligned with AI‑enabled workflows.
Second, robust architectures demand building scalable, modular systems that seamlessly integrate AI.
Third, responsible governance involves creating clear frameworks to manage autonomous behavior and ensure ethical, accountable deployment of intelligent agents.
Fourth, AI‑ready data calls for improving data quality, governance, accessibility, and real-time usability to enable reliable, scalable AI operations.
Finally, enterprise integration means shifting from isolated pilots to organization‑wide programs by embedding AI into core processes and driving outcome‑oriented delivery models.
Sigmoid is leveraging agents to unlock the full potential of vertical use cases by automating complex business workflows. When a global chocolate manufacturer experienced delays in responding to detailed customer requests, it chose a smarter approach rather than conventionally expanding its sales team. Sigmoid deployed an agentic AI solution leveraging R&D data to recommend tailored products. AI agents managed each step of the sales inquiry process, reducing response time from 10 days to 10 minutes, doubling portfolio utilization, and increasing sales by 5%.
The enterprises driving this shift are not pursuing novelty. They are fundamentally rethinking decision-making, system integration, and AI’s role in everyday operations. Sigmoid is helping build an agentic ecosystem that is transforming enterprise workflows.
