VENDORiQ: Appian leverages AI to assist with low-code application development
14 January 2021: IBRS interviewed Appian, a low-code vendor that specialises in providing business analysts and developers with a platform to deliver custom enterprise applications. The vendor has seen strong growth in the later half of 2020 due to organisations needing to quickly develop new applications to address lockdowns and new digital service delivery demands. The vendor also detailed how it is leveraging machine learning to guide users through the development of applications. The use of machine learning to recommend low-code application designs and workflows is a key differentiator for Appian.
Why it’s Important
As detailed in the 'VENDORiQ: Cloud low-code vendor Webflow secures $140 million', the low-code market is growing rapidly. Appian is a major global vendor in the low-code market. It positions itself above the non-technical / citizen-developer tools such as Forms.IO, but below the specialised development team platforms such as OutSystems. Appian’s ‘sweet spot’ is teams of business stakeholders working with business analysts and developers to jointly prototype and then put into production applications.
Appian has been expanding the use of machine learning algorithms to application design. During application development, the algorithms will make recommendations on fields that are needed on forms, workflow steps, approval processes, etc.
- Development team leads
- Business analysts
When selecting a low-code platform, organisations should be very clear about who the stakeholders are, who will use the platform, the project management model for application development and the applications to be developed.
In the case of Appian, there is clearly a close alignment with Agile business methodologies, which extend beyond the ICT group as outlined in the 'IBRS Snapshot: Agile Service Spectrum'.
The use of AI during the development applications is a feature more than a gimmick. This ‘guided’ approach to design not only speeds up application development, but by analysing a large body of existing applications and drawing inferences based on usage and effectiveness, it helps ensure that ‘best practices’ in workflows are not overlooked.
Related IBRS Advisory
- How to succeed with eforms Part 1: Understand the need.
- Workforce transformation part 4: Non-techies are taking over your developers’ jobs – Dealing with the fallout
- Aussie vendor radar: Nintex joins the mainstream business process automation vendor landscape
- VENDORiQ: Cloud low-code vendor Webflow secures US$140 million