C5i rolls out Agent5i to help enterprises move agentic AI from pilots to production
As enterprises race to deploy autonomous AI agents, a familiar problem is emerging: while experimentation is easy, scaling agentic AI securely and reliably across core business workflows is not. Mumbai-based AI and analytics firm C5i believes the gap lies in governance, context, and integration — and is positioning its newly launched platform, Agent5i, as an answer.
Unveiled this week, Agent5i is designed as an enterprise-grade platform to help organisations operationalise and scale agentic AI across mission-critical functions, without losing control over compliance, reliability, or cost. Rather than treating autonomous agents as isolated tools, C5i is framing Agent5i as a governance-first foundation that embeds planning, orchestration, monitoring, and optimisation into a single lifecycle.
Tackling the scale problem in agentic AI
While interest in agentic AI is surging, many enterprises remain stuck at pilot stages. According to C5i, the blockers are not just technical maturity, but deeper organisational issues — including unclear process redesign, lack of consistent business context, weak observability, and poor integration with existing enterprise systems.
Agent5i is built to address these challenges end to end. It allows enterprises to translate business intent into governed workflows that AI agents can execute predictably. At the core of the platform is a semantic architecture that ensures agents interpret business rules, data, and policies consistently, reducing ambiguity and operational risk as AI systems scale.
From planning through production, enterprises can design and deploy agentic workflows enriched with domain context, regulatory constraints, human-in-the-loop oversight, and cost transparency. Once live, teams gain visibility into how agents behave, what decisions they make, what they cost, and how outcomes evolve over time — with built-in mechanisms to continuously tune performance and reliability.
Built for real enterprise environments
A key differentiator, C5i argues, is Agent5i’s focus on integration and real-world deployment. The platform includes more than 150 connectors and a unified tool ecosystem, allowing it to plug directly into core enterprise systems such as ERP, CRM platforms, and data warehouses. This creates a bridge between structured enterprise data, unstructured information, and real-time decision flows, enabling AI agents to operate alongside human teams rather than in parallel silos.
C5i says its experience working with Fortune 500 organisations has shaped Agent5i’s design, particularly in areas such as finance, supply chain, marketing, HR, operations, and customer service. The platform includes predefined agent libraries and industry-specific flows, built from the firm’s accumulated domain knowledge, giving enterprises a head start rather than forcing them to build from scratch.
Governance as the foundation, not an afterthought
Where many agentic platforms emphasise autonomy first, C5i is leaning heavily into governance. Every decision, action, and interaction within Agent5i can be traced, validated, and audited, creating what the company describes as a controlled environment for scaling AI. This is particularly relevant for regulated industries where explainability, accountability, and compliance are non-negotiable.
“Agent5i is not just about adopting AI; it is about establishing a trusted, autonomous, human-in-the-loop digital workforce,” said Ashwin Mittal, Executive Chairman of C5i. He added that the platform reflects years of industry-specific learning, giving enterprises a faster path from experimentation to scaled impact.
From pilots to enterprise impact
C5i claims that its existing deployments with large enterprises have already delivered measurable outcomes, including faster process turnaround times and millions of dollars in identified cost and revenue impact through more contextual and accurate decision-making. With Agent5i now positioned as a standalone enterprise platform, the company is betting that organisations ready to move beyond pilots will prioritise governance, integration, and lifecycle management over isolated AI capabilities.
As agentic AI shifts from hype to execution, platforms like Agent5i highlight a broader industry trend: success will depend less on how autonomous agents are, and more on how well they are embedded into the realities of enterprise operations.