Managed AI Services modeled from proven business growth use-cases
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Our Services
Process Discovery
Enterprise-wide process discovery continuously pinpoints inefficiencies and process variations to reduce time to automation—and transformation. Discover processes 90% faster- Continuous, automatic discovery rapidly uncovers processes and variations without disrupting employee workflow. Uncover every business process - Build an enterprise-wide map of operations, down to the granular, day-to-day level, where people, apps, and data interact. Kickstart automation at scale - Pinpoint inefficiencies to reveal optimal process paths, reduce time to automation, and fuel hyperautomation. Empower operational excellence - Identify high-efficiency teams and see where automation can improve CX, resolve bottlenecks, and boost compliance.
AI Solution Design (service-as-a-software)
AI solution design in service-as-a-software lifecycle management comes after ideation & assessment. It includes modeling & defining processes or tasks that need to be automated that are discovered in the discovery phase. It also includes mapping any dependencies that the automation might have. It is important to identify the handover points and break the complex business process into multiple simple automation processes that connect through data handover features such as Queues, Data Tables, etc. Every business process we automate has its own complexity, unique steps, and stages. The suggested solution should also capture the same set of actions to be done automatically. However, automating a process does not mean that you have to follow the same manual steps. There can be different ways of doing the same task when it comes to the technological world. For example, while the user interacts with the interface of an application to perform a specific function, a robot could achieve the same task by: Using UI interaction as the user Perform API calls to send\ get the required data Connect with the database directly to perform the required action and many more… Hence, before the actual development, it is essential to lay down the architecture of the to-be solution. This service is led by an AI Engineer with global certifications and depending on the number of processes to be automated the bot / digital worker design takes anywhere from few weeks to months.
Transformation Delivery
Design an end-to-end AI solution for different client queries. The main focus is to identify problems and then solve them. A solution architect can also review codes, engage in licensing requirements, and orchestrate the process (number of robots, schedules, configuration files, assets, queues, etc). To conclude, solution architects are the face of your AI transformation journey. They enable, prepare, design, build, test, and sustain AI driven services inside your organization. To enable AI is to think about making your solutions consumable. This is where deployment and its implications on enterprise architecture comes into play.
We Integrate With Your Ecosystem
Infrastructure setup: on premise or cloud
deployment pipeline management & support.
AI services-as-a-software deployment environments led by AI Engineers / Solution Architects with global certifications and experience in development, testing and production of digital workers.