Tektonic AI raises $10M to build GenAI agents for automating business operations

Robotic Process Automation (RPA) is a software technology that uses bots to automate repetitive, rule-based tasks, such as data entry, file transfers, and form filling4. RPA was expected to revolutionize business processes by automating routine tasks, reducing costs, and increasing efficiency. However, it has not completely fulfilled its potential due to several reasons:

1. Limited capabilities: RPA bots are designed to follow a set of predefined rules and instructions, making them suitable for structured tasks with clear inputs and outputs. They struggle with unstructured tasks that require reasoning, learning, or decision-making, which are often encountered in real-world business processes.

2. Inability to adapt: RPA bots are programmed to perform specific tasks within defined parameters. They cannot adapt to changing circumstances or handle tasks outside their scope, limiting their usefulness in dynamic business environments.

3. Dependency on structured data: RPA works best with structured data organized in a way that bots can understand. Many businesses struggle with unstructured data, which requires manual intervention or additional processing before RPA implementation.

4. Implementation challenges: Introducing RPA may require significant changes to existing processes and workflows, which can be met with resistance from employees. Additionally, identifying the right processes for automation is crucial, as selecting the wrong ones can lead to inefficiencies.

Despite these challenges, the rise of generative AI may provide the missing key to building more effective RPA systems. By combining AI with RPA, businesses can potentially overcome the limitations of traditional RPA and unlock the full potential of process automation.

Tektonic aims to improve enterprise processes, particularly sales and revenue operations, by eliminating repetitive and inefficient tasks. The company's GenAI agents assist with tasks such as quoting, renewals, data quality, and enrichment, enabling sales and revenue teams to work more autonomously with simplified enablement and less reliance on deal-desk and other expert teams.

These processes are challenging to automate because they are often dynamic and specific to individual businesses. Traditional automation methods struggle to handle complex and dynamic processes, leading to the need for manual workarounds and expert intervention. Tektonic believes that by combining GenAI agents with process models and real-time data, they can reliably and securely automate even the most complex and dynamic processes.