The adoption of artificial intelligence continues to advance in business environments. According to the fourth edition of the AI at Work report by Boston Consulting Group (BCG), 74% of professionals in operational areas of companies already use AI tools on a regular basis, 23 percentage points more than the previous year. Agents are also gaining presence: 30% of respondents say they are already integrated into their workflows. However, 52% still acknowledge having limited knowledge about what they are and how they work.
The current business context shows that the challenge lies more in correctly integrating AI into the processes, applications and systems that employees use daily than in the adoption of these tools themselves, since business value arises when AI stops operating as an isolated solution and becomes part of end-to-end workflows.
This is especially relevant due to the number of tools currently used by organizations. According to Zoho’s State of Workforce Password Security 2026 report, 57% of European employees use 15 or more business applications, a proliferation that increases digital complexity and makes it difficult to maintain a unified view of information, access and processes.
In this context, Zoho, a global technology company, offers Zoho MCP (Model Context Protocol), a connection layer designed so that AI agents can interact directly with different business applications. In this way, they can, for example, update records in the CRM, generate invoices, open support tickets, assign tasks or activate workflows from a natural language instruction.
Built on the open MCP standard, Zoho MCP acts as a bridge between model intelligence and the systems where work takes place within a company. Additionally, it allows different language models, such as OpenAI’s GPT, Anthropic’s Claude, Hugging Face models, and others compatible with the MCP standard, to access Zoho data, tools, and workflows, reducing the need for custom development or manual integrations in certain use cases.
Four Zoho MCP capabilities to connect AI with real business operations
Zoho MCP structures its proposal around four blocks that allow AI agents to support real processes within the business environment:
1. Context shared between applications. MCP allows AI agents to understand that the same customer, account or process can be present in different applications, such as CRM, Books, Desk or Projects. This helps build a coherent view of the business, reduces data fragmentation across silos, and allows the agent to work with more complete and contextualized information.
Zoho MCP acts as a bridge between the intelligence of the model and the systems where work is carried out within a company
2. Orchestration of workflows in natural language. Instead of switching between applications, the user can express an intent in natural language and let the agent coordinate the necessary steps between different Zoho applications and third-party tools. Thus, an instruction such as “prepare the closing of this opportunity and manage the client’s registration” could coordinate updates in CRM, the creation of an invoice in Books, the opening of a ticket in Desk and the sending of a welcome email.
3. Flexibility of models. Zoho MCP supports different language models, allowing businesses to choose the AI technology that best suits their needs. Organizations can connect their MCP-compliant AI tools with Zoho data and processes, without being tied to a single vendor.
4. Governed access to enterprise systems. MCP is designed for AI agents to interact with enterprise applications while respecting existing permissions, approval flows, and corporate governance rules. In this way, existing permissions are applied to limit what each agent can see or modify, maintaining the levels of control and compliance that companies require.
“The next phase of enterprise AI will not be defined by models alone, but by how effectively those models can understand business context and operate within real-world workflows,” said Sridhar Iyengar, CEO of Zoho in Europe.
For AI to create meaningful value, it needs access to the right tools, data, permissions, and safeguards. This is where MCP becomes important: it provides a standard way to connect language models and AI agents with business applications, helping AI move from generating answers to supporting meaningful actions. “At Zoho, we see this as part of a broader shift toward integrated, governed, and useful AI in the systems where work actually happens.”
The purpose of Zoho MCP is not limited to connecting applications. Its value is in offering AI agents the context, tools and governed access they need to support end-to-end business processes, with the security, control and compliance guarantees that the corporate environment demands.
