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bpmNEXT 2019 demos: automation services with @Trisotech and @bpmswatch

Blog: Column 2 - Sandy Kemsley

The day started with my keynote on rolling your own digital automation platform using BPM and microservices, which set the stage for the two demos and the round table discussion that followed.

Best of Breed: Rolling Your Own Digital Automation Platform Using BPMS In A Microservice Architecture from Sandy Kemsley

Business Automation as a Service, with Denis Gagne of Trisotech

Denis demoed a new product release from Trisotech, their business automation as a service platform: competing with services such as Zapier and IFTTT but with better process and decision management, and more complex service types available for integration. He showed creating a service built on a Twitter trigger, using BPMN to model the orchestration and FEEL as the scripting language in script activities, and incorporating a machine learning sentiment score and a decision service for categorizing the results, with the result displayed in the color of a flashing smart light bulb. Every service created exposes an Open API and REST API by default, and is deployed as a self-contained microservice. He showed a more complex example of marketing automation that extracts data from an input form, uses a geo-locator to find the customer location, uses a DMN decision model to assign to a sales team based on geography and other form parameters, then creates a lead in Microsoft Dynamics CRM. He finished up with an RPA task example that included the funniest execution of an “I am not a robot” CAPTCHA ever. Key point here is that Trisotech has moved from a pure modeling vendor into the execution space, integrated with any Open API service, and deployable across a number of different cloud platforms using standard protocols. Looking forward to playing around with this.

Business-Composable Services for the Mortgage Industry, with Bruce Silver of Method and Style

Bruce showed the business automation services that he’s created using Trisotech’s platform for the mortgage industry. Although he started looking at decision services around how to determine if someone should be approved for a mortgage (or how large of a mortgage), process was also required to do things like handle mapping and validation of data. Everything is driven by a standard application form and a standard set of underwriting rules used in the US mortgage industry, although this could be modified to suit other markets with different rules. The DMN rules are written in business-readable language, allowing them to be changed by non-developers. The BPMN process does the data validation and mapping before invoking the underwriting decision service. The entire process can be published as a service to be called from any environment, such as a web app used by underwriters inside a financial company or by an online prequalification review done directly by the consumer. The plan is to make these models and services available to see what the adoption is like, to help highlight the value and drive the usage of BPMN and DMN in practice.

Industry Round Table: The Coming Impact of Decision Services and Machine Learning on Business Automation

We finished the morning of day 2 with a discussion that included three of the earlier demo presenters: Denis Gagne, Bruce Silver and Scott Menter. They each gave a short talk on how decision services and machine learning are changing the automation landscape. Some ideas discussed:

Great discussion and audience participation, and a good follow-on from the two demos that showed decision services in action.

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