Anthropic and Infosys have launched a strategic partnership to develop advanced enterprise AI solutions for telecommunication businesses.
These solutions will combine Anthropic’s Claude models with Infosys’s AI platform Topaz, to carry out longer, multi-step business tasks with minimal supervision.
By unifying their expertise and capabilities, this solution is designed for complex workflow automation, accelerating complex delivery, and ensuring governance and transparency is of upmost prioritizations during AI adoption.
Dario Amodei, CEO and Co-Founder of Anthropic, explains that AI can only be trusted in complex, regulated business environments when AI technology is combined with industry expertise.
“There’s a big gap between an AI model that works in a demo and one that works in a regulated industry – and if you want to close that gap, you need domain expertise,” he said.
“Infosys has exactly that kind of expertise across important industries: telecom, financial services, and manufacturing.
“Their developers are already using Claude Code to accelerate their work and to create AI agents for industries that demand precision, compliance, and deep domain knowledge.”
Moving Beyond Standalone AI in Heavily Regulated Sectors
Designed for large-scale businesses, the unified solution is aimed at industries who have adopted heavy regulation and complex operations, allowing them to move beyond simple AI tools toward systems that can work within regulated environments.
Without structured oversight, regulated sectors are unable to rely on standalone AI tools that aren’t designed for enterprise-grade governance, transparency, auditability, and integration.
Basic AI tools often generate output without offering detailed traceability, meaning companies cannot track how decisions were made, what data was used, and whether policies were followed.
For heavily regulated industries, a system that cannot provide sufficient logs, controls, or repeatable reasoning creates compliance risks for telecom providers who handle sensitive, personal, and usage data.
As simple tools are designed as adds-ons rather that tight integrations, these may have weak governance controls, likely lacking in identity management, approval workflows, or policy engines.
Regulated industries must have AI systems that align with internal governance frameworks and regulatory standards to ensure their location and function within a secure environment.
These can also lead to inconsistent decision-making when they’re being used for assistance rather than end-to-end process management, in regulated tasks such as billing adjustments or compliance checks, this can lead to financial penalties or customer harm.
Furthermore, their capabilities within a regulated environment would be stagnated, preventing them from reliably executing compliant, multi-step processes across systems.
The Unified Solution For Regulated Industries
Anthropic and Infosys’s AI platforms create a comprehensive enterprise AI system that goes beyond simple chat or isolated tools, supporting complex business workflows in telecommunications, and eventually planning to expand into financial services, manufacturing, and software development.
These AI agents can plan tasks, sequence actions, interact with systems, and persist through long workflows, using tools such as Claude Agent SDK to bind AI to specific business logic and workflows.
This solution also ensures the modernization of legacy systems, analyzing older IT systems to help them migrate to modern infrastructures, or augment them within AI-driven workflows, reducing unnecessary upgrade costs and supporting seamless transformation.
This helps companies improve their overall operational efficiency by accelerating software delivery, streamlining functions, reducing manual review times, and delivering customers personalized interactions for individualized experiences.
Tasks can also be personalized across operational needs, telecom teams can use the AI solutions for help on network operations and service delivery, improving customer satisfaction.
The unified solution also supports compliance and governance in heavily regulated environments, implementing various capabilities to ensure AI agents meet policies and expectations.
Firstly, the system is designed so that all AI actions and decisions can be logged, traced, and examined, allowing organizations to verify their alignment with regulatory requirements and internal controls, and avoid unobservable or unaccountable operations within enterprise systems.
By instilling domain expertise-backed enterprise governance, the ensures AI agents are built within domain process, policies, and compliance expectations from the start, integrating both Infosys and Anthropic knowledge and models within the environment, rather than operating as standalone AI services.
This approach is intended to let regulated industries adopt advanced AI while still meeting external compliance requirements and internal governance standards.
Policy-aware Customer Experiences
Salil Parekh, Chief Executive Officer at Infosys, highlights that the partnership intends to help large enterprises adopt AI more quickly and effectively, ensuring real outcomes rather than experiments.
“Our collaboration with Anthropic marks a strategic leap toward advancing enterprise AI, enabling organizations to unlock value and become more intelligent, resilient, and responsible,” he said.
“From modernizing financial services with intelligent risk management and compliance, to enabling engineering businesses to lead with AI-driven design and manufacturing, the goal is to leverage the joint expertise of Infosys and Anthropic to accelerate AI value realization for global enterprises.”
Moving toward agentic AI means that customers of heavily regulated enterprises can now receive shorter issue resolution and escalation times, ensuring operational efficiency and faster responsiveness.
Introducing AI models such as Claude can support personalized interactions at scale, offering tailored results or actions for more relevant communications.
Customers can also be assured that with improved transparency and auditability, AI-driven decisions can now be rerun, reviewed, and assessed for fairness and secure data handling.
Legacy systems can also use AI-assisted modernization to reduce integration gaps, simplify their agent tools, and improve data accuracy across customer touchpoints.
The partnership signals a shift from isolated AI chat tools toward integrated, policy-aware automation across the full customer lifecycle, delivering CX improvements while meeting compliance and governance expectations.
