Put AI Agents
to work for your business
to work for your business
Transform your company’s operations with Agentic AI. Implement native AI Agents capable of evaluating context, collaborating with your teams, and executing tasks in real time within your daily business workflows.
Agent Builder:
AI for real-time operations
Deyel’s Agent Builder lets you incorporate native Artificial Intelligence into your running applications. It enables your teams to move from manual data entry to goal-based management, where agents execute operational actions from end to end.
One environment to empower the entire enterprise
The convergence of your Applications, your Teams, and Artificial Intelligence
Deyel brings together, in a single operating environment, the robustness of your applications, the strategic judgment of your human team, and the cognitive capabilities of AI Agents. All three work together using the same existing data, permissions, and processes, without gaps or isolated solutions.
How do
AI Agents work in Deyel?
AI Agents work in Deyel?
Business
Logic First
Logic First
Runtime First
Governance
First
First
AI Provider
Adapters
Adapters
A modeling environment for defining the agent’s identity (role and specialization), available knowledge, context, and authorized tools without writing a single line of code.
The execution engine that acts as a control point between the application and AI agents. It is responsible for validating permissions, building dynamic context, applying governance policies, and executing tools securely.
A native Deyel component that equips applications with specialized, reusable cognitive capabilities. It is defined once and can be dynamically invoked from anywhere in the solution: pages, business processes (BPM), rules, events, or scheduled tasks.
A centralized, mandatory governance framework that governs artificial intelligence behavior at the application level. It establishes the operational boundaries within which all agents must act: authorized providers, data handling, permitted autonomy, human approval requirements, and consumption limits.
The agent as a collaborator on your team
Agentic AI takes on repetitive, analytical, and documentation work so teams can focus their time on strategic decisions and high-value activities.
Collaboration adapts to the daily dynamics of your business:
Operational assistance:
Guides an analyst through the processing of a complex case.
Preliminary analysis:
Prepares assessments and summarizes documentation before a decision is made.
Process participation (BPM):
Handles a specific stage within the workflow as another participant.
Event-driven execution:
Automatically activates in response to a business event (such as receiving an invoice or a claim) to begin handling it.
Accelerate productivity by executing end-to-end tasks, not just answering questions.
Instead of navigating multiple screens or filling out lengthy forms, you express what you need in natural language and the agent executes the required operational steps on the platform.
Automatically resolves frequent requests from customers, suppliers, or employees regarding payment statuses, purchase orders, or cases by running queries directly against the system’s actual entities.
For critical operations or high-value amounts, the agent prepares all the analytical work and pauses the workflow until it receives your explicit approval.
Operational use cases
Purchasing and Supplier Management
The agent evaluates quotes from multiple suppliers, checks delivery history in the system, and prepares a comparison table for purchase order authorization.
Claims and Incident Management
When a case is received, the agent analyzes the attached documentation, validates current coverage against the policy, and generates the initial settlement within the process without manual intervention.
Complete governance, observability, and native integration
AI is not connected as a patch or isolated external tool. Agents are a native object in Deyel’s metamodel, sharing the same lifecycle, security mechanisms, versioning, deployment, and administration as the rest of the components.
Define ethical boundaries, access permissions, and consumption limits at the application level. Security never depends on the prompt.
The language model never interacts directly with the application. The AI Runtime engine validates the executing user’s permissions in real time before building the context and authorizing any tool.
Cognitive activity is no longer a "black box." From the Application Execution Console, you can view the context used, tools executed, decisions made, resource consumption, and the complete audit trail of every action.
Switch between or combine providers (OpenAI, Google Gemini, Anthropic, Meta Llama) through AI Provider Adapters based on cost, speed, or reasoning capabilities.
Designed to scale gradually from conversational assistants to teams of specialized agents that collaborate with one another, without changing your application development model.
Real results for daily operations
80%
"80% of operational IT and business tasks will involve AI agents by 2026."
Gartner predicts that the adoption of agentic applications will radically transform the way teams execute their daily workflows.
Drastic reduction in cycle time
From weeks to hours for administrative tasks and internal processes.
Zero duplication of data or logic
Agents reuse the same existing rules, permissions, and corporate information.
Immediate adoption and impact
Implementation integrates without extending standard software deployment timelines.
Frequently Asked Questions
It is a component capable of reasoning about a request, evaluating the company context, making decisions within assigned boundaries, and executing autonomous actions within workflows, adapting to the information it receives without requiring continuous programming.
DIANA y el Agent Builder cubren dos momentos clave del ciclo de vida de la aplicación: mientras DIANA actúa como tu asistente en la etapa de desarrollo (traduciendo lenguaje natural en componentes visuales dentro de la plataforma), el Agent Builder dota a esas aplicaciones en ejecución de inteligencia propia para interactuar con tus usuarios y ejecutar procesos operativos de forma autónoma.
A conventional chat interface is limited to generating text responses based on static information. A Deyel Agent is integrated into your company’s architecture: it queries real data from your entities, applies your business rules, and executes specific tasks within operational processes.
The agent does not take actions directly. Every operation is validated by the application’s AI Runtime and AI Governance Policy, ensuring that the agent only accesses or modifies information the executing user is authorized to use according to their permissions.
Se diseñan de forma no-code desde el Agent Builder definiendo su rol, datos permitidos y herramientas. Una vez configurados, se incorporan a las aplicaciones como cualquier otro componente de Deyel, compartiendo el mismo esquema de versión, pruebas y publicación entre ambientes.
Yes. Deyel uses decoupled adapters that allow you to assign the most efficient model (such as OpenAI, Gemini, or Llama) to each type of task, optimizing costs, response speed, and analytical accuracy.