Agentic Workflow Automation Services

Automate business workflows and accelerate execution by up to 60% with AI agents that coordinate tasks, adapt to real-time inputs, and reduce human decision bottlenecks.

Schedule an Agentic Workflow Assessment

Traditional workflow automation breaks down when exceptions arise, rules change, or cross-functional coordination is required. Most legacy systems rely on static triggers and hard-coded logic that quickly becomes brittle as operations scale.

Agentic Workflow Automation solves this by introducing intelligent agents that understand task intent, reason across contexts, and take coordinated actions independently or in collaboration with other agents. These agents can make decisions, access APIs, update systems, notify stakeholders, and track outcomes, learning from each interaction.

Our agentic orchestration models go past RPA or BPM tools by using AI-powered decision trees, context-aware logic, and real-time data signals to evolve workflows continuously. The result is faster execution and smarter processes that adapt without constant human intervention.

Workflow Assessment & Mapping

We analyze existing processes to identify candidate workflows for agentic automation, especially those involving high volume, frequent exceptions, or cross-system dependencies.

Agent Design & Training

We build and train modular agents equipped with domain-specific logic, task decomposition skills, and real-time feedback handling. These agents work across APIs, data layers, and legacy interfaces.

Agent Orchestration & Collaboration

We implement multi-agent orchestration that allows agents to hand off tasks, share knowledge, resolve conflicts, and drive workflows from start to finish across departments.

Integration with Existing Systems

Agents are embedded within your current infrastructure, with connectors for ERPs, CRMs, ITSM tools, data lakes, and custom platforms.

Live Monitoring & Self-healing Logic

Agents monitor workflows, detect anomalies, log decisions, and trigger remediation paths proactively when failures or delays occur.

Continuous Learning & Optimization

We embed reinforcement feedback loops, so agents improve over time, adjusting to new business rules, updated processes, or exceptions.

KnowledgeMesh

Creates a unified knowledge graph that agents use to contextualize inputs, identify process dependencies, and retrieve dynamic rules for task execution.

Breeze.AI

Refactors legacy workflows by embedding AI agents that interpret logic, automate repetitive sequences, and surface performance insights.

eZeDataOps (Extended for Workflow Use Cases)

Supports agents with real-time access to clean, structured data pipelines, enabling faster decisions and context-aware automation.

GenAI-in-a-Box (for Workflow Documentation & Insight)

Empowers agents to summarize workflows, generate logs, and create plain-language reports to support auditability and stakeholder communication.

AI-first Engineering Teams

Our automation specialists combine domain knowledge, AI architecture skills, and enterprise IT integration expertise to deploy solutions that think and automate.

Enterprise Readiness

Every deployment follows structured governance, security, and observability protocols aligned with ITIL, ISO, SOC, and client-specific compliance models.