There’s a loud drumbeat in tech right now: Move to cloud, rip out legacy, implement AI, modernize everything, now. Sometimes that’s right. But as an independent, tech-agnostic advisor, I’ll also say the quiet part out loud: in 2026, many organizations will get a higher return by not launching a big-bang transformation, and by taking smarter, lower-risk steps instead.
Below, I’ll outline five reasons you might delay or downshift a full transformation, and what to do instead to unlock value this year.
1) Your “old” systems still have gas in the tank
Vendors love to equate legacy with liability. Reality is more nuanced. If your on-prem or older platforms are stable, deeply tailored, and still meeting core needs, you may be better off sweating the asset a bit longer.
What to do instead
- Run a do-nothing vs. do-less analysis: quantify the value of staying put for 12–24 months with targeted fixes vs. a wholesale replacement.
- Fund incremental enhancements (performance tuning, reporting packs, minor modules) that pay back in <12 months.
- Tighten support SLAs and monitoring so you can push life safely without creeping risk.
2) Treat legacy as the system of record, add AI as the system of insight
You don’t have to modernize everything to benefit from AI. Keep your ERP/HCM/SCM as stable anchors, and layer AI copilots/agents for analysis, anomaly detection, forecasting, and guided work.
What to do instead
- Pilot 2–3 AI use cases with clear payback (e.g., demand exceptions, AP/AR risk scoring, field diagnostics).
- Use AI to stitch signals from multiple systems (text, logs, images, IoT) and push decisions back into the tools people already use.
- Measure time-to-decision, rework, and cycle time improvements, then scale.
3) Go point solution first (a.k.a. composable ERP)
Big ERP projects are powerful, slow, and risky. In 2026, many wins will come from high-leverage point solutions that solve one painful problem exceptionally well (WMS, MES, TMS, CPQ, advanced planning, service scheduling), then plug into the estate.
What to do instead
- Rank processes by pain × frequency × financial impact; pick 1–2 for a point-solution pilot.
- Design for clean handoffs (master data ownership, event triggers, APIs) on day one.
- Cap pilots at 90–120 days with a go/no-go based on hard KPIs (throughput, first-time-right, inventory turns).
4) Use modern integration to make your stack feel modern
Integration is no longer the brittle liability it was a decade ago. With tools like Boomi, MuleSoft, Palantir, and Rappit (for AI-assisted workflow and integration), you can orchestrate processes across old and new without ripping out foundations.
What to do instead
- Stand up an integration layer as a product: versioned APIs, event streams, and a backlog tied to business outcomes.
- Centralize data contracts and error handling so ops teams trust the flows.
- Treat integration as a strategic hedge: it lets you replace parts later without destabilizing the whole.
5) Your biggest ROI is in realizing value you already bought
Most organizations leave 20–40% of potential value on the table from past projects, unused modules, poor adoption, messy data, and process drift.
What to do instead
- Run a value realization audit: adoption dashboards, process conformance, data quality, license utilization.
- Fund a 90-day “optimize what we own” sprint: fix master data, retire workarounds, retrain with role-based playbooks.
- Lock in governance (decision rights, change control, COE) so the gains stick.
When a full transformation is the right move
There are times to go big: existential risk from end-of-support, severe compliance gaps, M&A consolidation, or strategy shifts that your current stack simply can’t support. If that’s you, de-risk the journey:
- Do Phase 0 first: operating model, process strategy, data design, and an executive-level business case.
- Budget for real testing (multiple UAT cycles), mass training (not just train-the-trainer), and stabilization between waves.
- Set up program governance (EPMO, decision rights, change leadership) before vendors arrive.
A practical 90-day playbook if you don’t go big (yet)
- Baseline: performance, adoption, and cost of your current stack; identify top 5 value leaks.
- Pick 3 quick wins: one AI assist, one integration fix, one process/UX optimization.
- Pilot fast: 8–12 week cycles with hard exit criteria and owners.
- Codify & scale: productize what works (APIs, playbooks, data contracts), then roll forward.
Bottom line
You don’t earn extra credit for spending more or changing faster. In 2026, the smartest move for many organizations will be to delay the big-bang, harvest near-term value with AI, integration, and point solutions, and prepare the groundwork for a future transformation on your timeline, not the vendor’s.
If you want an outside-in read on which path will yield the highest ROI, optimize, augment, or overhaul, let’s talk. And for a broader view of what’s next, our 2026 Digital Transformation Report breaks down trends, benchmarks, and tech shortlists to help you plan with confidence.
Eric is recognized globally as a leading voice in digital transformation and ERP strategy. Over the past two decades, he has helped hundreds of organizations – including Nucor Steel, Fisher & Paykel Healthcare, Kodak, Coors, Boeing, and Duke Energy – define their technology roadmaps, modernize complex operations, and deliver real business value from large-scale transformation initiatives.
As Founder and CEO of Third Stage Consulting, Eric leads an independent, technology-agnostic advisory firm focused on helping clients navigate the shift from traditional ERP to more flexible, AI-enabled Digital Enterprise Operations (DEO) models. His work spans ERP selection, implementation quality assurance, organizational change, and operating model design across a wide range of industries and geographies.
Eric is also a prolific thought leader, known for his pragmatic takes on AI, cloud, and enterprise software trends, as well as his firm’s benchmark research and frameworks for de-risking transformation. He is dedicated to helping executive teams cut through vendor hype, make confident investment decisions, and successfully reach the “third stage” of their digital evolution.
