Most organisations are dealing with ageing systems, stretched teams, rising expectations and a constant stream of new tools. The harder task is not spotting what is new. It is deciding what is useful, sustainable and likely to improve the experience for staff, customers and service users.
These are five trends worth watching as we head into Q3 because they are starting to shape real decisions about investment, delivery and risk.
1. AI moves from experimentation to operational reality
For the past two years, many organisations have tested AI in small, low-risk ways: drafting content, summarising documents, supporting internal research. Moving forward, the shift is likely to be from isolated experiments to more embedded operational use.
That does not mean every organisation needs a complex AI programme. It means the conversation is becoming more practical. Where can AI remove repetitive work? Where can it improve speed without lowering quality? Where does it need clear human review?
The most useful starting point is the problem, not the technology. If a workflow is broken, adding AI on top will not fix it - and if a process is well understood, AI can help reduce friction and free people up for work that needs judgement, empathy and creativity.
The organisations that get real value from AI will not be the ones using it everywhere, they'll be the ones using it deliberately.
2. Digital experience becomes a trust issue
People are more aware of how digital services behave. They notice when a website is confusing, when a platform feels inaccessible, when communication is poorly timed or when a service asks for the same information twice.
That is why digital experience is no longer just a design concern, but one of trust.
This matters particularly in health, education, finance, energy and charity, where users are often trying to complete important tasks under pressure. A poor experience does not just frustrate people. It can create exclusion, increase support demand and damage confidence in the organisation behind it.
In 2026, more teams will treat experience quality as a strategic issue rather than a cosmetic one. That includes accessibility, content clarity, service design, performance and consistency across channels.
Good digital experience should be useful before it is impressive. It should help people do what they came to do with as little friction as possible. That takes research, testing and honest decisions about what users actually need.
3. Modernisation becomes more selective and more urgent
Many organisations know they need to modernise parts of their digital estate, yet fewer have the time or budget to rebuild everything.
That tension is driving a more selective approach to transformation. Instead of large replacement programmes, more teams are focusing on where targeted improvements can have the biggest impact. That might mean improving a key user journey, replacing a fragile integration, simplifying content operations or moving away from tools that are expensive to maintain.
This is often the more sensible route as not every legacy system needs to disappear immediately. But every organisation does need a clearer view of risk, cost and opportunity.
Strategy has to start with reality. What is working well enough for now? What is creating avoidable pain? What is holding back growth, service quality or internal efficiency? Those are the questions that lead to better investment decisions.
Digital evolution is not about chasing the newest stack. It is about making steady, intelligent changes that move the organisation forward.
4. Automation grows up
Automation is becoming less of a back-office technical project and more of an organisation-wide capability. In 2026, more organisations will look beyond simple task automation and focus on how connected workflows can improve speed, accuracy and resilience.
That could mean automating handovers between systems, reducing manual reporting, streamlining approvals or improving how data moves across teams. Done well, automation removes repetitive admin and reduces the chance of human error. Done badly, it simply makes inefficient processes run faster.
That is why process clarity matters. Before automating anything, organisations need to understand how work really happens, where bottlenecks sit and where exceptions are likely to appear.
The best automation supports people rather than trapping them. It creates space for higher-value work and gives teams better visibility, not less control.
5. Responsible digital practice becomes a differentiator
As digital systems become more intelligent and more connected, questions of governance, transparency and ethics are moving closer to the centre of decision-making.
This is especially true with AI, but it applies more broadly. Organisations are under growing pressure to think carefully about data use, accessibility, security, environmental impact and the unintended consequences of digital change.
Responsible digital practice will matter not just because regulators and stakeholders expect it, but because users do too. People want to know that the organisations they deal with are using technology in ways that are fair, understandable and proportionate.
This is where values need to show up in delivery, not just policy. Responsible digital work means asking harder questions early. Who benefits? Who might be excluded? What assumptions are built into the system? How will decisions be explained?
The strongest digital products and services are not just efficient - they're trustworthy.
About the Author
Nathan Baranowski is Founder and Co-CEO of Digital Wonderlab, an award-winning digital innovation consultancy helping organisations navigate complexity, embrace emerging technologies and create meaningful digital products, services and experiences. Nathan works with organisations across health, education, government and the private sector to turn ideas into impact through strategy, design, technology and innovation.
