SS&C | Blue Prism® Decision empowers organizations to automate decision-making, creating explainable machine learning-based processes in hours rather than days. Automate operational decisions where you didn’t think possible with minimal effort and expertise through machine learning.
Take Your Automated Decision-Making to the Next Level With Machine Learning
As your operations grow, the business decisions you delegate to your digital workers should also increase. Those organizations using robotic process automation (RPA) are only scratching the surface of the benefits and efficiencies to be gained from automating processes. You want to automate areas involving multiple decisions and variables — a once time-consuming endeavor, but not anymore. By deploying Decision, organizations can automate decisions through machine learning (ML) without the need for data science expertise. It makes rules-based decisions while employees focus on higher-value tasks.
What Can Decision Do For You?
Make machine learning more accessible
Decision incorporates active learning to ask you the most relevant questions that determine how you make decisions. You can then train the model by providing sample inputs with autoML. This means you can build statistical models in mere minutes – without any coding or data science expertise!
Explainable ML-based decisions
Decision provides you with detailed audit logs, which highlight the inputs used to make the decision. It also provides a confidence score for each decision.
Automate human-like decisions quickly
Decision enables you to create a single decision step in the process flow via an API, substantially reducing the design complexity. You can also enforce important decisions by using a priority rules-based decision automation system that overrides the model’s predictions.
Where Can Decision Be Used?
Paying a car repair invoice
The following use case demonstrates how Decision can streamline business processes by drastically reducing the number of steps the digital worker has to go through.
An accounts worker deciding on whether a repair invoice needs to be paid or not must consider:
- Was the repair authorized?
- Does the vehicle exist?
- Do the details of the repair match our systems?
- Does the invoice have a matching purchase order?
- If not, is the amount under a certain accepted level.
This type of administrative task is the ideal candidate for automation – and Decision can make it a reality.
Bank account applications
The following use case demonstrates how Decision can streamline the process flow by drastically reducing the number of steps the digital worker has to go through.
An agent must consider the following (and more) when evaluating a new application:
- Is the person applying for the account a resident of an applicable country?
- Are they the appropriate age?
- Do they have an existing account?
- Are they a staff member?
Processing thousands of applications manually can become a significant time-sink – something Decision is primed to solve.
See Decision in Action
What is decision automation?
Decision automation utilizes machine learning (ML), which is a subset of artificial intelligence (AI), for automating the decision-making process, making it easier for organizations to expand their automation. It replicates human decision-making skill sets so employees can drive further value to the business.
How do you automate decision-making?
For all decisions not covered by existing rules or training inputs, Decision’s ML model can be applied to business rules automation in four steps:
- Define your model name, add input variables, and highlight the decision that needs to be made.
- Create rules and provide decisions based on the variables so your model can train.
- Calibrate your data to ensure the model is generating the correct outcomes.
- Integrate and deploy your processes through Decision once they’re ready.
What are the applications of decision automation?
The limits of decision automation are your imagination. It can work across a multitude of industries and use cases, from financial services and banking to healthcare. It’s useful for routine decision-making processes that could be optimized, where quality and consistency are crucial.
What are the advantages of automated decision-making?
Fully automated decision-making allows employees to focus on higher-value initiatives, further increasing productivity across business operations.
Here’s what Decision does:
- Reduces design complexity for process developers.
- Increases time-to-value with faster decision-making processes.
- Recognizes potential errors and makes decisions to repair or respond without human intervention.
- Aids in compliance by automating regulation adherence.
- Improves consistency by applying rules with 100% accuracy.
What are the benefits of automation in decision-making?
Automation works quickly and accurately, reduces errors caused by people, and improves process efficiency. Business decisions can be time-consuming, drawing employees from their other work. Automation serves to transform these processes using ML predictive models that serve relevant, useful data to users so they can make more informed decisions.
With all that, you get:
- Happier employees
- Faster processes
- Better accuracy
- Fewer risks
- Bigger time and cost savings
- Better resource allocation
What are the challenges of decision automation?
Decision automation requires training your models on accurate data and ensuring your systems and people are connected.
Here are some of the challenges to look out for:
- Auditability: Ensure your decision automation includes good data security, retrieval, and storage.
- Collaboration: Some decision automation tools don’t require any human-in-the-loop, and this may make your people feel disconnected from your automated workflows. If this is a concern, look for software that allows greater visibility into the end-to-end decision-making process.
- Long-term decisions: Long-running decisions that include multiple steps can be complex, making these automations difficult to scale. Look for a decision automation platform that helps resolve these process complexities.
By the way, SS&C Blue Prism’s Decision answers these challenges head-on.