It all starts with our Digital Assessment, an AI-driven diagnosis that maps processes, identifies bottlenecks, and delivers a technical overview of your operation. From there, we determine where intelligent automation can generate the most value.
We develop agents that understand contexts, make rule-based decisions, and learn from your business data. Each agent is programmed with a clear focus, such as validating invoices or tracking supplier reputational risks.
Based on the assessment data, we map out the agent's mission: which steps it will execute, what data it will use, and what results we expect.
We define the necessary infrastructure, data sources, APIs, and connections. The agent is designed to run securely, stably, and with easy maintenance.
We feed the agent with company data and test it across real-world scenarios. We adjust behaviors, calibrate rules, and ensure it operates with accuracy and relevance.
The agent goes into production with continuous monitoring and performance dashboards. Based on results, it can be updated, expanded, or replicated for new fronts.
Agents automate everything from requests for quotes to supplier compliance verification, enhancing governance.
AI identifies risks in contracts, sensitive clauses, corporate structure changes, or supplier sanctions in real time.
Continuous supply chain monitoring, anomaly detection, and proactive responses strengthen operations.
Steps that previously required hours of analysis now happen in seconds, optimizing your teams.
With defined rules and automated validation, agents ensure consistency in execution.
The agent collects, processes, and cross-references data in real time, making decision-making more assertive.
They are intelligent systems developed to perform specific tasks autonomously, such as document validation, alert triggers, and real-time data cross-referencing. These agents operate based on predefined rules, historical data, and continuous learning, driving efficiency and faster decision-making.
While traditional automation executes repetitive tasks based on fixed scripts, Level's AI agents act based on adaptive logic, learn from data, and make more refined decisions considering multiple variables.
Yes. The Digital Assessment is essential to identify where the agent can generate the greatest value. It maps processes, risks, and critical points, ensuring that development is targeted and effective.
Yes. Level develops agents compatible with ERPs, CRMs, supplier management platforms, and other corporate systems via API or custom connectors.
Procurement, compliance, legal, and operations are areas where gains are seen most quickly. However, any department with recurring processes, well-defined rules, and high data volume can benefit.
They are developed with continuous updating mechanisms. Level provides monitoring and support to adjust them according to process or regulatory changes.
Yes. The agents operate with performance dashboards and metrics. It is possible to track indicators such as execution time, error reduction, volume of automated tasks, and impact on decisions.
Common risks involve scope or integration failures. Level mitigates them through clear stages: assessment, modular development, testing in real environments, post-implementation follow-up, and continuous support.
