Public service reform needs a new operating model, not another restructure

In a recent article for Enlighten, Scotland’s Independent Think Thank, Rami Okasha rightly argued that public service reform cannot be reduced to public-sector reform. Reorganising institutions may sometimes be necessary, but it is not sufficient to improve outcomes in people’s lives. The real work is to redesign how services collaborate around communities, prevention and lived experience. 

For Datnexa, this raises a further practical question: how do we give partnerships the capability, insight and shared infrastructure to work differently at scale?

Reform must begin with outcomes

Too many transformation programmes still begin with organisational charts, governance arrangements or technology procurement. These matter, but they are means, not ends.

The starting point should be a clear, shared view of the outcome people should experience. For an older person at risk of hospital admission, for example, that might be remaining safe, connected and independent at home. Achieving that outcome may involve adult social care, primary care, housing, community groups, family carers and voluntary-sector providers. No single organisation owns the whole journey.

When each partner measures success differently, manages separate data and works to separate funding cycles, the person must navigate the gaps. Public-service reform should therefore ask:

• What outcome are we jointly trying to improve?

• Which people and communities are least well served today?

• What prevents earlier, more personalised support?

• What information, decisions and resources need to be shared?

• How will partners be mutually accountable for progress?

That is a fundamentally different conversation from asking which organisation should deliver a discrete service.

Partnership requires shared power, and shared intelligence

Okasha makes a compelling case for moving beyond a model in which the voluntary sector is brought in after decisions have already been made. If charities and community organisations are engaged only as delivery agents, that is not strategic partnership; it is outsourcing. 

The same principle applies to technology and data. Digital tools should not reinforce existing institutional boundaries by giving each organisation a better view only of its own activity. They should help partners build a shared understanding of need, demand, capacity and outcomes, while protecting people’s privacy and respecting the different legal responsibilities of each organisation.

This is where well-designed data and AI capability can make a meaningful difference. Used responsibly, it can help public-service partnerships to:

• Identify patterns of unmet need earlier, before people reach crisis.

• Bring together fragmented operational insight across health, care, housing and community services.

• Reduce administrative burden so practitioners can spend more time in direct, relational work.

• Support frontline teams with timely, explainable information rather than retrospective reporting.

• Evaluate whether interventions are improving outcomes for different groups and places.

• Make commissioning and resource decisions based on evidence of need and impact.

Technology does not create trust, shared purpose or good leadership. But poor information flows, duplicated processes and disconnected systems can make those things far harder to sustain.

Prevention needs operational capability

Prevention is often described as a strategic ambition, but it must also become an operational discipline.

That means identifying risks early enough to act; connecting people to the right support before needs escalate; and understanding whether early intervention is reducing pressure elsewhere in the system. Too often, the insight exists in pieces: a missed appointment, a housing concern, a change in care needs, debt-related stress, repeat contact with services or a community organisation noticing someone becoming isolated.

Individually, these signals may not justify intervention. Collectively and appropriately interpreted, they can help services ask a better question: what support would help this person stay well and independent?

The opportunity is not to automate judgement or replace professional discretion. It is to equip practitioners, managers and partnership leaders with better evidence, clearer workflows and more time to act humanely.

For AI in particular, this demands strong safeguards. Public bodies and their partners need transparent decision-making, clear accountability, robust data governance, human oversight and active attention to bias and unequal impact. An AI-enabled system that is technically sophisticated but cannot explain its recommendations, or has not earned the confidence of communities and staff, will not deliver meaningful reform.

Digital reform is behavioural reform

The article rightly argues that public-service reform is ultimately about relationships and behaviours, not structures alone.  The same is true of digital transformation. 

A new platform cannot, by itself, make organisations collaborate. A dashboard will not resolve disagreements about accountability. A predictive model will not compensate for inadequate local services. And a data-sharing agreement is not the same as a trusted, functioning partnership.

Successful transformation requires leaders to create the conditions for collaboration:

• Shared ownership of outcomes, rather than isolated organisational targets.

• Earlier involvement of voluntary, community and lived-experience partners.

• A willingness to share both risk and credit.

• Clear decisions about where information should be common, and where independence must be preserved.

• Investment in staff confidence, capability and time, not just systems.

• A culture of learning in which evidence can challenge established assumptions.

During the pandemic, many places demonstrated that public bodies, communities and providers could move quickly when urgency, trust and common purpose aligned. The task now is not to recreate emergency conditions; it is to retain the best of that collaborative instinct in everyday public-service delivery.

From systems to services

At Datnexa, we believe the measure of reform is not how many systems are replaced, strategies published or governance boards created. It is whether people experience services as joined up, timely and centred on what matters to them.

That calls for a more mature relationship between public services, voluntary organisations, communities and technology partners. Each brings a distinct contribution:

Partner	Essential Contribution
Public sector	Democratic accountability, universal responsibility, stewardship and consistency
Voluntary and community sector	Trust, local knowledge, advocacy, relationships and responsiveness
Private and technology partners	Delivery capability, user-centred design,  innovation and scalable digital infrastructure
People and communities	Lived experience, priorities, insight into what works and the authority to define meaningful outcomes

None should be treated as a subordinate add-on to another. Effective reform brings these capabilities together around shared goals.

Public-service reform is not achieved when an institution changes shape. It is achieved when a person no longer has to repeat their story, wait until crisis to receive help, or work out for themselves which door to knock on next.

That is the standard against which we should judge every reform programme, and every digital investment.