Intelligent Automation Services

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Intelligent Automation Services

Intelligent Automation (IA) combines Robotic Process Automation (RPA) with advanced technologies like Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), and cognitive automation to create more sophisticated and capable automation solutions.

TecGether offers a comprehensive suite of services through Intelligent Automation to help organizations harness these technologies for improved efficiency and innovation.

Access, Discover, Design

We assist in Assessment and Strategy Development which involves evaluating an organization’s readiness for Intelligent Automation by examining technology infrastructure, process maturity, and organizational culture.

It includes developing a strategic roadmap for IA implementation that identifies priority use cases and defines key milestones.

The IA Solution Design phase encompasses detailed process mapping and re-engineering to uncover opportunities for automation and designing the architecture for IA solutions, integrating RPA with AI, ML, NLP, and other cognitive technologies.

End-to-end Implementation

We assist in Implementing Intelligent Automation (IA) by defining clear objectives, identifying repetitive, rule-based processes, and determining the goals for automation, such as cost reduction or efficiency improvement.

Next, select the right tools by evaluating options like UiPath, Blue Prism, Automation Anywhere or Power Automate and choosing one that aligns with your technical environment, budget, and scalability needs. Assessing and documenting the current processes in detail, including workflows, inputs, outputs, and exceptions.

Design and develop bots based on these documented processes, configuring them to interact with necessary applications and systems. Test the bots in a controlled environment to ensure they perform as expected and handle exceptions appropriately.

Provide Deployment and Go-Live, Post-Implementation Support, as well as Monitoring and Optimization.

Ongoing support and Maintenance

To ensure effective bot maintenance, regularly monitor their performance and use analytics to address issues. Set up a robust support and incident management system for quick issue resolution.

Periodically review and update bots to adapt to changes and enhance their performance. Manage changes in processes or IT environments carefully, ensuring they are tested before implementation.

Regularly update security protocols to prevent vulnerabilities and ensure compliance. Keep documentation up-to-date and provide ongoing team training to stay current with best practices and plan for workload changes to maintain adequate infrastructure capacity.

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