- Focus on business outcomes: Our focus is not on what technologies we have to offer, but on how these technologies impact specific use-cases and enhance outcomes for our clients.
- This is a lean, outcomes-focused approach towards intelligent automation. It simplifies, unclutters and automates to significantly improve clients’ targeted outcomes in terms of velocity, productivity & efficiency, cost effectiveness as well as user experience.
- A clear technology strategy:
- As a platform/ product/ solution/ framework: Co-create best-fit solutions for client scenarios and outcomes
- As a service:
- Offers flexibility and provides choices based on client’s criticality rating of information, intelligence and Governance, Risk and Compliance (GRC) needs
- Integrates easily with and supports third party solutions such as Automation Anywhere, Blue Prism, Work Fusion, etc.
- Offers automation as a service to support any automation and AI point solutions that some clients may have already invested in, including IBM Watson
- Enables legacy systems to integrate with the enterprise cognitive layer
- An effective people strategy: Early investments, senior leadership commitment and intensive efforts in creating a skill-pool for our clients’ most-in-demand automation needs e.g. automation designers, automation architects, HOLMES deployment experts and automation managers.
- A collaborative engagement and partnership model: Consultative partnership approach with flexible pricing models and gain-share on business outcomes
- A use-case based approach where development of assets is demand driven, need-based and market-focused
- A vast knowledge base that spans across processes and domains. Wipro HOLMESTM leverages the service and contextual intelligence from our experience of working with 1250+ clients globally
- An end-to-end problem-solving approach which links clients’ existing tools and capabilities of partner ecosystems through ‘Connected Bots’ that focus on end-to-end process automation rather than delivering just point solutions