Orchestrate complex business processes with AI workflow automation that coordinates multiple agents across 500+ applications. 80% faster processes with intelligent decision-making and self-healing workflows.
Beyond simple task automation - intelligent process orchestration
Function: Coordinates specialized AI agents (document processor, email handler, data validator) to complete complex workflows end-to-end
Impact: Handle 10x more complex processes
Function: AI analyzes context, makes routing decisions, handles exceptions, and escalates when appropriate
Impact: 95% of decisions handled automatically
Function: Automatically detects failures, retries with alternative approaches, and adapts to system changes
Impact: 99.9% workflow completion rate
Function: Connects 500+ applications with pre-built connectors and custom API support for seamless data flow
Impact: Unify all enterprise systems
Invoice processing, approvals, payments
Onboarding, offboarding, requests
Ticket routing, provisioning, support
Order processing, returns, escalations
| Capability | AI Workflow | Traditional RPA | Manual Process |
|---|---|---|---|
| Handles Unstructured Data | ✓ | ✗ | ✓ |
| Makes Decisions | ✓ | ✗ | ✓ |
| Self-Healing | ✓ | ✗ | ⚠ |
| Scales Infinitely | ✓ | ⚠ | ✗ |
| Cost per Process | $0.01-0.10 | $0.50-2.00 | $5-50 |
Connect your entire tech stack
AI workflow automation uses artificial intelligence to orchestrate complex business processes across multiple applications. Unlike traditional automation (RPA) that follows rigid rules, AI workflow automation understands context, makes decisions, handles exceptions, and adapts to changes. It coordinates multiple AI agents to complete end-to-end processes autonomously.
RPA (Robotic Process Automation) follows scripted rules and breaks when interfaces change. AI workflow automation uses machine learning to understand intent, handle unstructured data, make decisions, and self-correct. AI can process documents, understand emails, and adapt to variations that would fail traditional RPA bots.
AI workflow automation handles complex processes including invoice processing and AP automation, employee onboarding workflows, customer service ticket routing, contract review and approval, compliance monitoring, IT service requests, sales quote generation, and multi-department approval chains. Any process spanning multiple systems and requiring decisions benefits.
Multi-agent orchestration coordinates specialized AI agents that each handle specific tasks within a workflow. A supervisor agent manages the overall process, delegating to specialist agents (document processor, email responder, data validator) and handling exceptions. Agents communicate and collaborate to complete complex processes end-to-end.
Our platform integrates with 500+ enterprise applications including Salesforce, SAP, Oracle, Workday, ServiceNow, Microsoft 365, Google Workspace, Slack, Zendesk, and hundreds more. Pre-built connectors enable rapid integration, and REST APIs support custom applications.
Simple single-process automations deploy in 1-2 weeks. Multi-department workflows with complex logic take 4-8 weeks. Enterprise-wide process automation programs require 3-6 months for full rollout. Our visual workflow builder enables rapid prototyping and iteration.
Organizations typically achieve 60-80% reduction in process handling time, 90% fewer manual errors, and 40-50% cost reduction. Average ROI is 300-500% within the first year. A company automating 50 processes can save $1-5 million annually through labor efficiency and error reduction.
Yes, enterprise security includes SOC 2 Type II certification, encryption at rest and in transit, role-based access control, audit logging, and compliance with HIPAA, GDPR, and PCI-DSS. On-premise deployment options are available for organizations with strict data residency requirements.
Systems integrators and consultancies can offer our platform under their brand.