Service 02
Purpose-built agentic workflows that automate complex operational decisions. We engineer autonomous agents that integrate directly with your existing data infrastructure and business logic.
What Is Agentic AI?
Traditional AI tools respond to prompts. Agentic AI systems operate autonomously — monitoring data, making decisions, executing workflows, and escalating exceptions — all within defined operational boundaries you control.
Wandril designs agentic solutions that are grounded in your real enterprise data. Every agent we build is purpose-engineered for your specific business logic — not a generic template deployed into your environment.
Technical Stack
What We Build
Agents that monitor operational data in real time and trigger predefined actions — approvals, alerts, escalations — without human intervention.
LLM-powered interfaces that allow business users to query any enterprise database or business software using plain English — no technical expertise required.
End-to-end automation of repetitive operational processes — procurement, inventory reconciliation, financial reporting, HR workflows.
Agents that continuously scan your data for anomalies, exceptions, and threshold breaches — and route them to the right stakeholder automatically.
Agentic workflows that span multiple systems — ERP, CRM, databases, third-party APIs — executing complex multi-step operations autonomously.
Automated generation of operational reports, executive summaries, and KPI dashboards — delivered on schedule or triggered by data events.
Our Approach
Every agentic solution we build begins with your data — not a generic model. We ground each agent in your business data, your business rules, and your operational context. The result is an AI system that behaves like a trained member of your team, not a black box.
We define clear operational boundaries for every agent — what it can decide autonomously, what it must escalate, and what it must never do. You remain in control. The agent handles the volume.
Discovery
Map your operational workflows and identify automation candidates
Data Grounding
Connect your business software and database data to the agent's reasoning layer
Agent Design
Define decision logic, boundaries, escalation paths, and actions
Build & Test
Iterative development with sandbox testing against real data samples
Deploy & Monitor
Phased production rollout with performance monitoring and iteration
Tell us about your operational workflows and we'll identify the highest-value automation opportunities in your enterprise.