Access Paysuite Launches AI-powered Income Management Evo to Transform Public Sector Financial Management

With public sector teams under increasing pressure from more demand, limited resources and disconnected systems, Access PaySuite has unveiled Income Management Evo, its next generation, AI-powered software experience.

Income Management Evo will help public sector organisations – from local authorities and housing associations to NHS Trusts – to harness powerful Generative AI (GenAI) across its suite of income management solutions. 

Bringing Generative AI (GenAI) capabilities into the public sector’s payment ecosystem, it enables teams to retrieve data and insights in plain language. It helps connect and clarify income, refunds and payment data through live dashboards and predictive alerts – driving smarter, collaborative decision-making. 

Commenting on the launch, Giulio Montemagno, managing director of Access PaySuite, said:

“Income Management Evo marks a step change in what can be achieved by AI-driven innovation in public sector organisations. We’ve collaborated closely with finance, digital transformation and operations teams across local authorities, NHS Trusts and housing associations to develop a powerful AI software experience. It brings payment intelligence to organisations and fits seamlessly into existing workflows and processes. 

“People enter public service to make a difference and we’re excited to add a powerful tool which will help teams to deliver a better service to local communities through efficiency, speed and accuracy.

“Data security and compliance is clearly a vital consideration for local authorities, NHS Trusts and housing associations, which is why we’ve underpinned Income Management Evo with our 3-Tier Security Model to protect every click, insight and decision.”

Public sector AI adoption pacing behind private sector

The launch of Income Management Evo comes as new Access PaySuite research has revealed that public sector organisations are slower to adopt AI when compared to their private sector counterparts. 

A Censuswide survey across public and private sector organisations, commissioned by Access PaySuite, found that six in ten public sector organisations are investing in AI, compared to 83% of private sector companies. 

Results also showed that just 10% of public sector organisations currently have ‘significant’ strategies in place, compared with 45% of those in the private sector. 

Despite the slower uptake of GenAI in the public sector, more than 70% of organisations are interested in exploring AI and three-quarters reported that AI will be important to their organisation in the next three to five years. 

Greater operational efficiency was a key strategic objective for AI adoption in the public sector, with 45% respondents highlighting it as a key driver of investment. Improved end user experiences (39%) and regulatory compliance (39%) were other key objectives for organisations. 

Compliance also featured prominently as a potential barrier to adoption, with 40% of public sector respondents reporting regulatory or ethical concerns as a potential obstacle in adopting AI. This was followed by data quality or availability (36%) and leadership uncertainty (35%). 

Giulio commented on the findings. He said: 

“We know there is a great deal of interest in the public sector about the potential of AI to have a significant impact on service delivery. It presents a unique opportunity for innovative public sector organisations to learn from the experiences from the private sector and implement the right solutions for maximum impact.

“The first insights from our early adopter program have shown encouraging signs, with feedback showing that Income Management Evo is already helping authorities see time savings of up to 110 FTE days per year, translating into tens of thousands of pounds in efficiency gains. 

“Income Management Evo is the first in a series of AI-powered solutions that we’ll be rolling out over the next few years, in an iterative process that intends to transform public sector payment systems and financial mapping.”