Overview
AI-driven automation augments classic RPA by adding cognitive capabilities: document understanding, decisioning models, process mining, and predictive exception handling. The result is reliable automation that scales across complex enterprise processes.
Core Offerings
Co-pilot Studio
Design, train, and deploy conversational copilots that convert natural language into actions — triggering workflows, looking up records, and executing tasks across systems.
AI Builder
No-code AI components for document processing, form understanding, and prediction models that plug directly into automation flows.
Power Automate
Event-driven automation and RPA that connects apps, APIs, and UI flows into reliable process orchestration.
Copilot Agents
Conversational bots for customer and employee automation with built-in handoff to human agents and integration into automation flows.
Why it matters ?
- End-to-end automation
Move beyond isolated bots to orchestrated processes that complete entire outcomes.
- Intelligent decisioning
Use models to classify, predict, and route decisions — reducing exceptions.
- Human + AI collaboration
Safe human-in-the-loop patterns for high-risk tasks.
- Measured impact
Faster SLAs, lower cost-per-transaction, and fewer manual interventions.
Discovery
Design
Development
Deployment
Optimization
- Process assessment and documentation
- Automation opportunity identification
- ROI analysis and prioritization
- Technology requirements definition
Discovery
- Process assessment and documentation
- Automation opportunity identification
- ROI analysis and prioritization
- Technology requirements definition
Design
Development
Deployment
Optimization
Case Studies
This company’s CRM product was built using legacy technologies like Adobe Flex, FlashScript the support for which was ending by December 31st, 2020.
Dive Deeper
For clients in the banking industry, it has become increasingly imperative to provide the best customer experience.
Dive Deeper
