We make it easy for businesses to transact
with each other
We believe that next generation business activities will be conducted via Self-Driven Straight Through Processes cutting across organization boundaries.
Businesses across industries are wasting millions of dollars every year due to manual processes leading to human errors, high manual labor cost, and delays due to lack of attention.
We intend to change this with Telligro's Universal Business Integration eXchange. Ubix links business processes end-to-end across business partners, seamlessly capturing and tracking every action while informing the accountable person. Data is digitized at the source, providing accuracy until the last step of every process.
Our technology is not just about efficiency through automation leading to cost savings and bottom-line improvement, but more importantly it is also about high-speed autonomous transactions that can greatly improve revenue and earnings.
The people behind Telligro have been pioneers of UI-Automation technologies, more popularly known as Robotic Process Automation (RPA). One of the earliest and most comprehensive US Patents describing UI Automation was authored by our founders during their previous successful venture: Inventys, which was founded in 2004 and got acquired in 2012.
We have been providing sophisticated process automation solutions for global multinational organizations for more than sixteen years. Our technical inference and revised vision based on our experience is as follows:
All rule-based business processes can be fully automated and removed from back-offices' or outsourced back-offices' responsibilities.
'Band-aid' type deployment of RPA will cause many implementations to fail because inefficiencies of the existing processes would not have been resolved at the time of configuration of the automations.
Using AI-OCR techniques to "read" scanned documents and then pass the data to RPA software have severe throughput and accuracy limitations. Examples describing high accuracy OCR are anecdotal and limited to 'ideal' conditions.
Straight Through Processing (STP) is the end-goal and Holy Grail of all data processing systems. STP can include time-triggered transactions and steps such as approvals that are performed by humans. It is a misconception that STP can only be used in t+0 type financial settlement transactions.
We do not believe that the concept of "hyperautomation", as defined by contemporary analyst research firms, will lead to any significant improvement in business efficiency over multiple years.
The problem with the hype around hyperautomation and RPA is accurately described by the statement:
""if all you have is a hammer, then everything looks like a nail"
-- Abraham Maslow
RPA is a valuable tool in the integration and workflow toolbox. But there is no need to invert the entire world into an RPA-centric universe where every employee has a bot assistant.
At Telligro, we have carefully analyzed our observations and lessons learnt in process automation, and we have crafted our technology offering to address the future of business operations automation. This includes the wise use of RPA tools for appropriate situations.
Our pursuit is towards enabling our clients to achieve STP with their business processes, and then to lead this towards autonomous processing. To achieve this, Telligro's Ubix platform has been created to establish the foundation needed to work seamlessly with legacy and future applications that are deployed in enterprises.
Madhav has nearly three decades of experience in the enterprise software industry. Prior to Telligro, Madhav was the CEO of Inventys, which he founded in 2004, and pioneered UI-Automation long before it became known as RPA. He introduced this technology to several global BPO and shared-services organizations starting in 2009. The success of Inventys created the market for process automation using screen workflows, and eventually led to Inventys' acquisition in 2012.
He founded Telligro with the intention of achieving large-scale process automation across enterprises, and to 'fix' some of the inherent issues with the way RPA and AI-driven RPA are currently being used.
Madhav is also the principal inventor of several patents, including one of the earliest patents disclosing a technique for creating an RPA software product.