Service / Agentic AI
Beyond RPA.
Autonomous Intelligence.
Linear RPA breaks on exceptions. Agentic AI reasons through them. Our autonomous agents handle non-linear logic, multi-system orchestration, and self-healing workflows — without human intervention. 99% reduction in manual oversight.
99%
Reduction in manual oversight through self-healing workflows
94%
Autonomous exception resolution rate
7×
Processing throughput increase in banking deployments
<0.1%
Error rate on Agentic AI-orchestrated workflows
The Evolutionary Shift
From RPA to Agentic AI
Rule-Based RPA
Deterministic bots executing fixed scripts. Brittle under change. Zero exception handling. Requires constant maintenance.
Attended Automation
Human-in-the-loop triggers. Reduces keystrokes but not headcount. Bottleneck shifts, not eliminated.
Unattended Automation
Scheduled bots running overnight. Handles structured data well. Fails on any unstructured input or exception.
Agentic AI
Autonomous agents with reasoning, memory, and tool-use. Handle non-linear logic, self-heal under failure, and improve over time.
Interactive Comparison
RPA vs Agentic AI
Select a real-world scenario, then drag the slider to compare legacy RPA behaviour against Agentic AI outcomes.
Invoice Validation
Agentic AI cross-references PO data, vendor history, and policy rules. Resolves 94% of exceptions autonomously in under 8 minutes.
Invoice Validation
Linear RPA bot fails on any deviation from template. 40% exception rate escalated to humans. 3-day resolution queue.
← Drag to compare Legacy RPA and Agentic AI →
Architecture
How Agentic AI Works
Our agents are built on a reasoning-action-observation loop with persistent memory, tool-use capabilities, and multi-agent coordination protocols.
Perception Layer
- Multi-modal document ingestion (PDF, email, EDI, API)
- Real-time event stream processing
- Structured + unstructured data normalisation
- Confidence scoring on extracted entities
Reasoning Engine
- Policy-aware decision trees with LLM fallback
- Historical pattern matching across 36-month data windows
- Multi-step planning for complex exception resolution
- Explainable AI audit trail for every decision
Action & Orchestration
- Native integrations: SAP, Salesforce, ServiceNow, Oracle
- Parallel multi-agent task delegation
- Self-healing: automatic retry with alternative strategies
- Human escalation only on novel, high-risk scenarios
Deploy Autonomous Intelligence
99% reduction in manual oversight.
Measurable in 90 days.
We identify your highest-volume exception workflows and deploy a proof-of-value Agentic AI agent within 4 weeks — with full ROI modelling before you commit to scale.