ActionHRM has been successfully servicing the needs of mid-market client organisations since 2002. In this time, our broad and detailed functional coverage has steadily grown, with our v5 generation being a fully hosted SaaS solution providing best of breed full employee lifecycle solutions.
With a position-based solution architecture, competency framework overlay, HR data process automation enables significant value to mid-sized organisations. As complexity increases, so too does the need for continued investment in innovative technologies, like Artificial Intelligence (AI) or what we like to refer to as being Augmented Intelligence [as skilled humans are still required to merge new code via quality assurance & controlled processing oversight etc].
AI is being introduced to the ActionHRM solution in a few key areas, prior to the release of our next gen v6 solutions. The key areas of AI focus were selected to maximise measurable value to the clients we serve, and delivered as free of charge release updates via our continuous integration / continuous development (CI/CD) best practices – aligning with our commitment to maintain a single leading solution (no customised versions floating around), ensuring all clients benefit from all innovations subject to functional access via agreed subscriptions.
As a foundation step to enabling AI in ActionHRM, we have had to map our entire back end in a manner that maximises AI interpretation and response accuracy. We are currently leveraging multiple language models and have been met with enormous functional & technical success in the prototyping phase.
To deliver leading edge AI innovation to real people, we have adopted a few methodologies/approached, with eyes wide open for the newest AI models and practical applications of these learnings.
In this article we introduce the most basic concept of AI innovation in ActionHRM, that being of an agent driven portal process – enabling users (employees, managers, executives & administrators) to ask generic questions, with results being quickly retrieved or calculated and displayed – all subject to data permissions and security access:
Example of Employee AI Agent Requests:
– What are my current leave entitlements?
– What will be my leave entitlements in 6 months?
– Show all leave types and available balances
– How do I apply for leave?
– Update emergency contact
– Update biographic details
– Report a hazard
– Report an incident
– How am I tracking against my goals and KPIs?
– Show me my last performance review
– What training do I have to do?
– What training can I do?
– How to refer a person to a vacant job position?
– Show me my managers contact details
– etc.
Example of Manager AI Agent Requests:
– Show me my direct reports/team members
– Who are my top performing reports/team members?
– Who are my lowest performing reports/team members?
– How can I help support my lowest performing reports/team members?
– Are there any compliance gaps in my team?
– Show me all team members with more than 20 days leave entitlements
– Display my teams contact list
– etc.
Example of Executive or HR admin AI Agent Requests:
– Show me how the organisation is tracking with eLearning?
– Which departments have the most position vacancies?
– What is the longest unfilled position in department xyz (or the org)
– How many applicants have we had for the CEO role?
– What is the source of the best job/position applicants?
– Which teams consistently meet their goals/KPIs?
– Which team is struggling to meet their goals/KPIs?
– What’s the average recruitment turnaround time?
– What is the cost of training in department xyz (or the org)
– As an organisation, show me FTE headcount over the past 12 months
– Compare organisations FTE headcount over the past 5 years
– etc.
Now apply AI Agent requests across reporting, data visualisations, electronic forms/actions/workflows/notifications and org-restructuring – and you can start to see the true value of AI innovation for the hundreds of legal entities that rely on ActionHRM daily.
Watch this blog for updates on HR AI innovations deployments, client feedback & continuous enhancements.