Knowledge Automation delivers on the promise of true end-to-end process automation.

We introduce a fundamentally new approach to automation using advanced artificial intelligence and knowledge transfer that mimics the learning process of a new hire.

On-boarding a new hire





Automation with HIRO

Knowledge Automation: Delivering on the potential of Advanced AI

HIRO is powered by a proprietary Advanced AI that has been specifically designed to mimic learning and application of knowledge.

This last step is key to going from 30% to 90% automation as it eliminates the need to learn the sequence to complete every variation of a task in a process. It is the ability to learn when knowledge can be transferred to a different task and from trial and error. The HIRO AI engine mimics knowledge learning and transfer by applying and mixing multiple branches of Artificial Intelligence.

Advanced AI: A mix of AI Techniques

Machine reasoning
Process rules to provide control over the automation

Machine learning
Learning the best knowledge to apply to complete a task in a process

Reinforcement learning
Trial and error to to transfer knowledge from a known task to a novel task

Natural Language
Processing [NLP] To enable Subject Matter Experts to teach the engine new knowledge

Semantic Knowledge Graph
to represent and store data for the process and environment being automated


The Knowledge Automation approach delivers a 90% end-to-end process automation rate, which is significantly higher than the 30% process automation delivered by traditional process automation software tools.

Knowledge Automation benefits over Traditional Automation

Traditional Automation
[Scripts, rules, RPA, BPM, etc.]

Automation Rate


Time to Automate


IT cost to maintain when scaling

Effort increases linearly with scale

Contextual awareness

Context unaware, static/fixed automations for fixed environments

Adaptability to change

Change usually breaks automations, which then requires manual maintenance or replacement


Automates steps or tasks in a process as identified by process analysis/mining/reengineering


Linking of process step automations delivers 30% end-to- end automation and requires supervised automation

Knowledge Automation

Automation Rate


Time to Automate


IT cost to maintain when scaling

Constant low level of effort

Contextual awareness

Automation is dynamic; execution is adapted to real-time context

Adaptability to change

Adapts to changes in process, systems, environment


Mimics learning and application of knowledge to automate entire process


90%+ automation of end-to-end process; unsupervised

Advanced AI resilience to change and adaptability

Knowledge Automation also overcomes some of the inherent challenges with machine learning solutions:

  • No black box: Complete auditability of all automations
  • Works with existing data and systems, no need to secure large pools of structured data
  • Does not require a new model or data refresh for each new automation.

For example, a machine learning AI built to QA a manufacturing process or recognize invoice data from an OCR scan (both based on a visual inspection of an image or photo) needs to be trained on what a QA “pass” looks like or how to recognize the invoice amount. For each new change in the product or lighting or addition of a new invoice format, the AI model will need to be retrained or potentially regenerated with the new data set. The more variability the model needs to represent, the larger the required data set for each machine learning AI for it to accurately “predict” the pass or invoice amount with a high degree of confidence.

HIRO’s advanced AI is focused on process automation. Its data model has been built to learn how to solve tasks by applying learnt knowledge, not to predict the correct automation sequence. This eliminates the requirement to gather and structure data, build a model and retrain for every update or change in the operating environment. HIRO only needs access to your existing systems and data to start automating immediately.

Achieve quick results with Agile Automation

We have developed Agile Automation as an implementation methodology to leverage Knowledge Automation to enable customers to scale their automation within weeks as opposed to months based on 3 simple steps:

  1. Integrate existing systems with HIRO through standard connectors or REST APIs
  2. Send process tasks from existing systems to HIRO and teach baseline knowledge – when HIRO lacks knowledge to automate a task it creates a teaching session to acquire knowledge
  3. Having accumulated sufficient knowledge, HIRO will automate 90% of tasks and can then be extended using the same steps to other end-to-end processes across your business

How Knowledge Automation works

Digitizing knowledge – your company’s key asset

Knowledge of markets, customers, production and how it is applied is what differentiates companies competitively and enables value creation. HIRO is one of the first platforms that digitizes and automates company knowledge.

The initial benefit is to free up knowledge workers to focus on value creation while HIRO carries out routine tasks. Eventually, the digitized knowledge itself can be applied to create value through both the creation of new product offerings and by removing constraints on securing talent for growth.


Get started

Contact us for a demo or to learn more about Knowledge Automation