Access PaySuite Launches AI Income Management Evo to transform public sector finance

Access PaySuite launches AI-powered Income Management Evo to streamline public sector finance

Public sector finance teams are under pressure from rising demand, tight budgets, and fragmented systems. Access PaySuite has introduced Income Management Evo, an AI-driven software experience that brings natural-language insights and predictive monitoring to income operations.

Built for local authorities, housing associations, and NHS Trusts, the platform connects income, refunds, and payment data into a single view. It focuses on faster decisions, better controls, and improved service delivery without forcing teams to change how they work.

What Income Management Evo does

• Lets teams query finance and payment data in plain language, surfacing answers and context in seconds.
• Unifies income, refunds, and payment flows with live dashboards for cash position, variances, and exceptions.
• Raises predictive alerts on trends, anomalies, and likely risks to help prevent leakage and delays.
• Fits into existing workflows and processes to reduce disruption and speed up adoption.
• Applies a 3-Tier Security Model to protect every action, dataset, and decision point.

As the company notes, the goal is practical: bring payment intelligence into the day-to-day so teams can move with more speed, accuracy, and control.

Public sector AI adoption is trailing the private sector

New research commissioned by Access PaySuite highlights the gap. Six in ten public sector organisations are investing in AI, compared with 83% of private sector companies. Only 10% of public bodies report a "significant" AI strategy in place, versus 45% in the private sector.

Interest is rising, though. More than 70% of public sector organisations want to explore AI, and three-quarters say it will be important in the next three to five years.

• Top drivers: operational efficiency (45%), improved end-user experience (39%), and regulatory compliance (39%).
• Key blockers: regulatory/ethical concerns (40%), data quality or availability (36%), and leadership uncertainty (35%).

Early results and expected ROI

Feedback from early adopters indicates time savings of up to 110 FTE days per year, translating into tens of thousands of pounds in efficiency gains. For finance leaders, that can mean faster reconciliations, reduced exception handling, and clearer forecasting without expanding headcount.

What finance and management leaders should do next

• Define 2-3 high-impact use cases: collections visibility, refunds reconciliation, income forecasting, or compliance reporting.
• Pilot with a contained dataset and clear KPIs: cycle time, exception rates, write-offs, and staff hours saved.
• Tighten data foundations: chart of accounts mapping, payment reference standards, and data quality checks.
• Establish controls early: audit trails, model monitoring, and DPIAs aligned to your risk appetite.
• Plan integration: where dashboards live, who gets alerts, and how insights trigger actions in existing systems.
• Upskill the team: short sessions on plain-language querying, interpreting AI-driven insights, and escalation paths.

For guidance on AI and data protection, see the UK Information Commissioner's Office resources here.

Looking to build capability across your finance function? Explore practical tools and training curated for finance professionals here.

Outlook

Income Management Evo is the first in a planned series of AI-enabled releases focused on payment systems and financial mapping. With clear use cases, data discipline, and the right controls, public sector organisations can move from exploration to measurable outcomes in months-not years.