Fortune 1000 Enterprises Tap Tonkean’s AI Agents to Orchestrate Complex Operations Autonomously

For years, enterprises have struggled to balance automation with governance. AI adoption has surged, but true process orchestration where AI agents not only automate tasks but work toward long-term business goals remains elusive. Many agentic AI offerings lack the necessary control, adaptability, and enterprise-wide integration needed to drive meaningful transformation.

Tonkean aims to change that. The AI-powered process orchestration platform has officially launched its Agentic Orchestration capabilities for Fortune 1000, introducing AI agents that don’t just execute commands but autonomously coordinate complex business processes while ensuring compliance, visibility, and control. With a hybrid approach that combines autonomous AI decision-making with deterministic, rules-based automation, Tonkean is positioning itself as the orchestration layer enterprises have been missing.

Bringing AI Agents to Enterprise Operations

Tonkean’s AI agents are designed to operate independently or in collaboration with others, taking on tasks ranging from answering compliance-related questions to executing long-term initiatives. These agents work within a multi-agent architecture, coordinating efforts across departments while adhering to company policies. They can function as chat-based assistants or operate in the background, adapting to different workflows without disrupting existing systems.

This orchestration model is already proving valuable in shared-service teams such as procurement, legal, HR, and IT. Companies like Cisco, Workday, and Instacart have leveraged Tonkean’s AI agents for tasks such as contract creation, market analysis, and bidding campaign facilitation. Unlike traditional process automation tools that focus on predefined workflows, Tonkean’s AI agents dynamically adjust to changing business objectives and regulations.

But the real differentiator lies in the platform’s ability to balance autonomy with governance a crucial factor for enterprises concerned about compliance and security.

Why Enterprises Need More Than Just Automation

Agentic AI has become a hot topic, with companies racing to deploy AI-driven workflows. But many offerings fall short, lacking the necessary governance structures, adaptability, and interoperability needed in large organizations.

Tonkean takes a different approach. Its AI agents operate within a governance framework that allows enterprises to set guardrails, escalate critical decisions to humans when necessary, and ensure full compliance with policies. This structured yet flexible model prevents the chaos that often comes with AI-driven automation.

Tonkean also stands out for its interoperability across more than 200 enterprise platforms, including Slack, SAP, Microsoft Teams, and in-house systems. This means AI agents can integrate seamlessly into an organization’s existing workflows, making adoption frictionless. Employees can interact with agents directly within their preferred applications, ensuring minimal disruption.

Additionally, Tonkean offers a no-code environment where internal teams can build and deploy AI agents without relying on engineering resources. Enterprises can either configure their own agents or choose from a library of pre-built agents tailored for tasks like sourcing, purchase intake, contract management, compliance validation, and market analysis.

A Strategic Approach to AI Adoption

Tonkean’s hybrid model where AI agents operate autonomously but within structured, rules-based frameworks raises important questions about the future of AI-driven enterprise workflows.

Speaking exclusively to AIM Research, Tonkean co-founder and CEO Sagi Eliyahu emphasized why this hybrid approach is essential:

“Instrumenting agents with the right balance of deterministic, rules-based governance—nested in the policies and structure of your organization—and nondeterministic autonomous capabilities is absolutely crucial to making agents effective in the enterprise. his will only become more true as AI becomes more powerful. Especially in the enterprise, where governance is sacrosanct. Organizations will need the ability to create concrete guardrails within which agents can engage in autonomous goal-driven decision-making. Those guardrails will safeguard against chaos.”

This structured autonomy allows AI agents to make decisions proactively while ensuring organizations retain full control over compliance and security.

Future-Proofing AI for Enterprise Technology Stacks

One of the biggest challenges in enterprise AI adoption is keeping up with evolving technology stacks and regulatory changes. AI solutions that work today may become obsolete as new platforms emerge and compliance requirements shift.

Tonkean’s platform is designed to be future-proof. It is application and systems-agnostic, meaning it can integrate with both new and legacy technologies. As long as there’s an , Tonkean can connect to it.

Eliyahu explained:

“Tonkean is also LLM-agnostic; users can switch out LLMs without disrupting the business flow or agent configuration, which is important when the agent has been purpose-built. Tonkean will also always mind whatever your internal policies are and will adapt to updates to those policies in real-time. And because our process builder is 100% no-code, internal teams themselves can update every agent and process they build inside Tonkean on their own, whenever external changes—be they regulatory or otherwise—demand it.”

This adaptability ensures that AI adoption remains sustainable, reducing the risk of technological lock-in or compliance failures.

AI as an Enabler, Not a Replacement

As AI adoption accelerates, concerns about AI replacing human decision-making are growing—especially in areas like contract management and compliance, where nuance and context matter.

Tonkean’s philosophy is clear: AI should enhance human judgment, not replace it. The platform is designed to support employees in making better decisions by providing relevant insights, automating repetitive tasks, and ensuring processes stay within governance boundaries.

Eliyahu emphasized this human-centric approach:

“Tonkean Agentic Orchestration has been designed to always put people first—to augment decision-making and empower humans, rather than replace them. Tonkean agents operate within a robust governance framework that aligns processes to policy—and keeps humans in control at all critical junctures. Moreover, Tonkean agents have been designed to always meet people where they prefer to work—and to accommodate their unique working styles and needs.”

Eliyahu sees AI orchestration as the next major leap in enterprise software, comparable to how mobile app development evolved in the early 2000s.

Sagi draws a parallel between Tonkean’s vision for enterprise automation and the transformation brought by iOS and Android in mobile development. When Apple and Google launched their app stores, they simplified the process of building mobile applications—developers still needed technical expertise, but they no longer had to be device engineers. This abstraction led to an explosion of innovation, making mobile apps an essential part of daily life. Eliyahu believes business operations are at a similar inflection point today. Enterprises either rely heavily on engineering teams to build scalable, secure tools or resort to manual processes, limiting the pace of innovation. 

Tonkean’s goal is to bring that same level of abstraction and ease of use to enterprise software, making business operations as seamless as today’s mobile experience.

“Technology should help us do more with less and help us focus on the things that we’re good at. Our platform is an operating system for business operations. If everyone’s life at work became incredibly efficient, that would really make a long-lasting impact. If the time we spent at work was significantly more focused, it would impact everyone’s life not only the bottom line for companies.”

Tonkean’s approach to AI-driven process orchestration is rooted in a fundamental belief: technology should empower people, not replace them. As Sagi Eliyahu puts it, “Business processes are not about data or even technology. Fundamentally, they’re about people.”