Public Sector & Utilities

Streamlining Public Sector Operations through Automation

Addressing rising demands from citizens and consumers of public services is a major challenge for the public sector. To boost efficiency, digitalization and cloud tech are key. 2iSolutions is transforming PSUs with automation, integrating SAP Utilities Cloud Platform, SAP AI integration, and Public Sector CRM Software to provide unified business intelligence and enterprise planning on a single platform.

Where agentic AI is earning its place in public sector and utilities

Public bodies and utilities carry two constraints at once: long-lived custom systems that nobody wants to touch, and an obligation to show that public money bought a defensible outcome.

Both point at the same starting place. A landscape assessment returns a scored, object-level inventory of custom code, integrations and technical debt, with effort and cost attached to each item. That is a document a committee can scrutinise and a procurement process can stand on, rather than a supplier's estimate. Remediation, testing and documentation then follow as separately approvable pieces of work, which suits a funding cycle better than a single large programme.

What SAP work in this sector actually involves

Public bodies and utilities run some of the longest-lived SAP estates there are. A billing configuration written for a tariff structure that changed twice since, an asset register that predates the current organisational boundaries, interfaces to systems whose original suppliers no longer exist. None of it is bad work. It is simply work that has outlasted the assumptions it was built on.

That is the real starting condition, and it is why a generic transformation pitch tends to land badly here. The useful conversation is narrower: what does this estate actually contain, what of it still serves a purpose, and what does each piece cost to keep, fix or retire.

Asset-heavy organisations have an asset-heavy data problem

Networks, plant, vehicles, treatment works and buildings all have to be maintained against a budget that is scrutinised in public. The constraint is rarely the maintenance module itself. It is that the data describing the assets sits in several systems with different identifiers, so nobody can answer a question about total cost of ownership without a reconciliation exercise first.

We treat that as a data architecture problem rather than a reporting one. One governed definition of an asset, inherited by every report and every planning cycle, beats four dashboards that each disagree about how many pumps there are.

Procurement and reporting that can withstand scrutiny

Spend has to be defensible, auditable and visible to people outside the organisation. In practice that means the process matters as much as the outcome: who approved what, against which framework, on what evidence.

SAP handles that well when it is configured to match the actual approval structure, and badly when the structure was approximated at implementation and worked around ever since. Part of the assessment work is finding those workarounds, because they are where audit findings come from.

Delivering inside a funding cycle

A single large programme is a difficult thing to fund and an easy thing to cancel. The assessment, remediation, testing and documentation work described on this page is deliberately separable — each piece produces a finished artifact and can be approved, funded and delivered on its own.

That suits an annual funding cycle better than a multi-year commitment, and it means the first piece of work returns something useful whether or not the later pieces are commissioned. For an organisation that has to justify the spend before it is allowed to continue, that sequencing is usually the difference between a business case that passes and one that does not.