--- title: "2026 Business Transformation Outlook: What I'm Seeing, and What We Can Do About It" number: 6 date: 2025-12-30 url: https://trevin.co/writing/2026-business-transformation-outlook standfirst: "2026 will not introduce new transformation problems; it will expose the ones organisations have lived with for years." topics: ["Decision governance", "ERP programs"] --- # 2026 Business Transformation Outlook: What I'm Seeing, and What We Can Do About It 2026 will not introduce new transformation problems; it will expose the ones organisations have lived with for years. ## 2026 Business Transformation Outlook - What I'm Seeing — And What We Can Do About It After spending years inside complex transformation programs — ERP replacements, operating model resets, portfolio overhauls, and data and integration clean-ups — one thing is clear to me: 2026 won't introduce entirely new problems. It will **expose the ones organisations have been living with for years**. From where I sit, the next year of transformation will be less about chasing new technology and more about confronting reality. What follows is my perspective on what 2026 will actually look like — grounded in what I've seen work, what hasn't, and what consistently derails delivery — and what **we can realistically do about it**. ## 1. AI Will Force Hard Operating Model Decisions In 2026, AI won't struggle because the technology isn't capable. It will struggle because organisations haven't decided how work should actually happen. I've already seen AI produce technically correct outputs that don't align with business judgement. When that happens, the conversation quickly shifts away from the model itself and toward process design, data quality, decision ownership, and governance. AI becomes a mirror. It reflects the clarity — or confusion — in the operating model. ### What this means The good is that AI genuinely improves decision-making where processes are clear and data is trusted. The bad is organisations trying to automate broken workflows. The ugly is AI being blamed for outcomes that were actually caused by unclear ownership and poor design. In 2026, AI stops being a safe experiment and starts exposing how decisions are really made. ### What we can do about it - Be explicit about who owns which decisions before automation enters the picture - Redesign processes end to end, assuming AI participation rather than bolting it on - Be honest about where human judgement must remain - Lift AI literacy across the business, not just within IT ## 2. Technical Debt Will Shift From Tolerated to Unacceptable In 2026, fragile systems will no longer be dismissed as IT issues. Outages, manual workarounds, and brittle integrations will increasingly be recognised as operational and financial risks. I've seen the exact moment leadership stops accepting "known issues" and starts asking why the business is still running this way. That moment will arrive faster for more organisations next year. ### What this means The good is that leadership is finally recognising technical debt as a business problem. The bad is how long it has taken to get there. The ugly is organisations discovering too late that a handful of people or undocumented integrations are holding everything together. Tolerance for fragile systems will be low in 2026. ### What we can do about it - Frame technical debt in terms executives care about: risk, cost, and continuity - Surface single points of failure early, even when it is uncomfortable - Simplify ruthlessly before replacing systems - Treat modernisation as risk reduction, not innovation theatre ## 3. PMOs Will Be Judged on Outcomes, Not Artefacts The PMO conversation is changing. In 2026, PMOs won't be measured by how well governance is followed, but by whether delivery is clearer, faster, and aligned to outcomes. I've worked with PMOs that genuinely enable delivery — and others that bury teams under rigid governance and then wonder why everything slows down. That gap is widening. ### What this means The good PMOs remove friction and create clarity. The bad ones mistake activity for control. The ugly ones rely on rigid governance to create a sense of certainty while delivery quietly suffers. By 2026, this difference will be impossible to ignore. ### What we can do about it - Strip governance back to what genuinely supports decision-making - Challenge artefacts that exist only because they always have - Shift PMO success measures from compliance to outcomes - Use governance to create clarity, not control ## 4. Business Architecture Will Become a Leadership Tool Every time I've seen a simple capability or value stream view presented to executives, the conversation changes immediately. Decisions become grounded. Duplication becomes visible. Trade-offs become explicit. In 2026, business architecture stops being optional and becomes a leadership instrument. ### What this means When architecture is done well, it creates alignment quickly. When it is done poorly, it becomes shelfware. The ugly reality is that many transformations still run without any shared understanding of how the business actually works. Usable architecture will separate focused organisations from chaotic ones. ### What we can do about it - Keep architecture grounded in how the business really operates - Use capability views to guide funding and prioritisation - Avoid overengineering models no one uses - Treat architecture as a living asset, not a one-off exercise ## 5. Change Will Be Recognised as a Leadership Discipline By 2026, it will be obvious that change doesn't fail at go-live — it fails much earlier. I've worked with brilliant change managers who understand behaviour, incentives, and leadership. I've also worked with some who confuse activity with impact and struggle to grasp what change actually means. ### What this means Good change leaders drive adoption by influencing behaviour. Poor ones focus on artefacts. The ugly cases hide behind plans while adoption quietly fails. Weak change leadership will be harder to hide in 2026. ### What we can do about it - Hold change leads accountable for adoption, not deliverables - Expect change teams to understand the business, not just frameworks - Involve leaders early and often, not just at go-live - Measure behaviour change, not training completion ## 6. Data Will Continue to Be the Silent Delivery Killer If there's one area that will slow more programs in 2026 than any other, it is data. Ownership, quality, definitions, and history continue to be underestimated. I've watched "simple" migrations stretch for months once the true state of data surfaced. ### What this means The good is organisations are talking about data earlier. The bad is underestimating the effort involved. The ugly is discovering too late that no one truly owns the data. Data discipline will be a genuine differentiator in 2026. ### What we can do about it - Assign real business ownership for critical data - Stop treating data migration as a purely technical task - Validate data with the people who actually use it - Invest early to avoid downstream delays ## 7. Fractional Expertise Will Become the Default In 2026, more organisations will stop asking how many people they need and start asking what experience they need right now. I've seen fractional roles bring clarity into complex programs quickly — when they are used deliberately. ### What this means The good is access to deep experience when it matters. The bad is using fractional roles as a short-term patch. The ugly is bringing people in too late to make a real difference. Experience on demand will outperform static team structures. ### What we can do about it - Bring fractional expertise in early to shape direction - Be clear on the outcomes expected from fractional roles - Pair external experience with internal capability uplift - Avoid treating fractional support as a rescue-only option ## 8. Value Will Have to Show Up Early — or Not at All In 2026, patience for long plans with distant benefits will be thin. I've been in rooms where the only question that mattered was: "What value have we delivered so far?" ### What this means The good is a sharper focus on outcomes. The bad is initiatives struggling to articulate value early. The ugly is long programs losing trust before they deliver anything meaningful. Momentum will matter more than plans. ### What we can do about it - Define value in practical, observable terms - Deliver something meaningful early - Use momentum to build confidence and sponsorship - Be willing to stop or reset initiatives that are not delivering ## Final Reflection From my experience, 2026 won't reward organisations doing more. It will reward those doing **less — with clarity and intent**. Across everything I've seen, the shift is consistent: - from complexity to clarity - from documentation to outcomes - from control to enablement - from projects to operating models That sounds simple. It isn't. It requires discipline, honesty, and a willingness to change how decisions are made. Below are some practical takeaways I would leave leaders, PMOs, and transformation teams with as we head into 2026. ### 1. Be ruthless about what you stop doing Most transformation fatigue is not caused by too little effort — it is caused by too much unnecessary work. Ask yourself: - Which governance steps no longer add value? - Which reports are produced but rarely used? - Which initiatives exist because they were started, not because they still matter? Stopping the right things often creates more momentum than starting new ones. ### 2. Design for decision-making, not delivery theatre Many organisations look busy but struggle to make timely, confident decisions. Clarity on who decides what — and at what level — removes friction across AI, PMO governance, change, and delivery. If decision paths are not clear, delivery will slow regardless of how good the plan looks. ### 3. Treat capability as the unit of progress Projects come and go. Capabilities endure. Anchor transformation around the capabilities the business actually needs, not just systems or initiatives. This creates continuity, reduces duplication, and improves prioritisation. If a project does not clearly uplift a capability, question why it exists. ### 4. Make adoption visible and non-negotiable Delivery without adoption is just activity. In 2026, successful organisations will: - measure behaviour change - track adoption alongside milestones - hold leaders accountable for uptake, not just go-live What gets measured gets attention. ### 5. Bring experience in early, not as a rescue Many programs bring senior expertise in only after problems surface. The better pattern is using experience early — to shape scope, simplify design, challenge assumptions, and de-risk decisions before momentum is lost. Experience is most valuable before things break. ### 6. Build momentum deliberately Momentum is not accidental. It is designed. Break work into meaningful slices that deliver visible value. Use early wins to build trust and sponsorship. Be prepared to pause or reset work that is not delivering. Confidence compounds when progress is visible. ### 7. Accept that discomfort is part of progress The organisations that will do best in 2026 are the ones willing to confront uncomfortable truths: - about their operating model - about technical debt - about governance that no longer serves them - about change approaches that look good on paper but fail in practice Avoiding these conversations does not make them go away. It only delays them. ## The bottom line 2026 will favour organisations and individuals that simplify deliberately, decide clearly, and execute with intent. Those that accept this shift will move faster, with less friction and better outcomes. Those that don't will spend another year working hard — without moving forward.