With many organizations aiming to shift their artificial intelligence (AI) projects from experimentation into implementation at scale, the challenge in 2026 will be how quickly they can scale pilots into systems that hold up under daily pressure.
Across Southeast Asia, IT leaders will need to move from isolated use cases to AI embedded directly into workflows, modernization programs, and talent models. This shift will demand enterprises re-design processes as well as rethink how they manage risk and measure value. Here are the top trends setting the agenda for the year ahead.
AI-Native Operations Become Standard Practice
At the pace it is moving, AI is no longer a workflow add-on. This year, expect more and more organizations to build it into how work is planned and conducted. In fact, we are already witnessing enterprises root AI copilots into approvals, audits, customer support, finance, field operations, and compliance processes.
This direction mirrors national policy across the region, and the Philippines is no different. For example, the National AI Strategy Roadmap 2.0 reflects a move toward scaling AI across industries and treating it as operational infrastructure.
What matters now is not access, nor trust – indeed, PwC finds that 75% of Philippine chief executive officers (CEOs) are in favor of integrating AI into mission-critical workflows. Rather, organizations need to ensure this integration occurs quickly – shortening cycle times, improving accuracy, and allowing workflows to respond to live data instead of fixed rules. This will rest on an infrastructure built to ensure governance, auditability, and enterprise controls.
Agentic Capabilities Will Unlock the Next Wave of Enterprise Automation
By 2026, enterprises will move beyond static copilots to agentic systems capable of planning, performing multi-step actions, and coordinating across systems with limited human input.
In finance, procurement, human resources (HR), field operations, and customer support, agents now reconcile data, flag anomalies, prepare reports, trigger approvals, coordinate tasks, and manage workflows across multiple systems.
The next step is multi-agent coordination, where specialized agents work together across workflows, rules, and enterprise systems to complete complex processes.
Enterprises that pair these capabilities with governance, visibility, and low-code orchestration are better positioned to improve output without losing control.
End-to-End Process Orchestration Becomes the Differentiator
The gap between basic task automation and full process orchestration is widening. Enterprises under pressure to move faster are changing focus from isolated fixes to connected processes that span systems, teams, and data.
This approach has a direct impact on cost, speed, and service quality, especially in asset-heavy sectors.
Across the region, approval cycles are being redesigned with automated, compliance-driven routing; inventory, forecasting, and purchasing are managed as connected workflows; and field operations are coordinated through shared, real-time process views.
In the Philippines, for example, SN Aboitiz Power Group reported a 451% ROI after automating core processes using a low-code platform. By decreasing manual handoffs, the company improved consistency while advancing its broader digital efforts.
These results highlight why treating low-code tools as an enterprise coordination layer creates value that compounds over time.
Low Code Becomes Core to Modernization
Low code has progressed beyond its initial use as a productivity tool. It is now vital for organizations to modernize applications, integrate systems, and manage complexity in hybrid and multi-cloud settings.
Traditional development timelines are increasingly out of step with business requirements. Across Southeast Asia, many firms still take months to design and implement applications. In markets where conditions can change in a matter of weeks, those timelines increase risk.
Talent shortages in the Philippines exacerbate the situation. While the country has a strong IT services base, gaps remain in advanced digital and engineering skills. The Philippine Institute for Development Studies’ 2025 projection anticipated a surplus of IT roles, showing a gap between graduate output and industry-ready skills. Retaining experienced professionals remains tough, as many pursue opportunities overseas.
Policy pressure is rising. The E-Governance Act stipulates that services such as permits, licensing, and payments be made online. Meeting these demands without expanding development teams has made low code a practical option across both public and private sectors.
Chief information officers (CIOs) are using low-code platforms to modernize legacy systems, build new application layers to existing infrastructure, integrate multi-cloud environments, and decrease technical debt while boosting response time.
Organizations that treat low code as an orchestration layer, rather than just a faster way to build apps, are seeing stronger gains in adaptability and operational stability.
Citizen Development Scales with Controls
Citizen development has moved into structured programs. By 2025, 59 percent of initiatives were led by chief digital officers (CDOs), reflecting a shift from ad hoc efforts to enterprise-wide models.
The lesson is simple: scale requires guardrails.
Effective programs include clear paths for simple versus complex applications, built-in IT oversight, training and shared standards, and role-based access with audit trails.
Enterprises that balance empowerment and discipline grow quickly and with fewer risks.
The Agility Gap After 2026
AI-enhanced low-code capabilities are becoming standard, from natural language workflow creation to predictive insights embedded directly into processes. The immediate gains show up in cycle times and efficiency. The longer-term value is organizational agility.
Adoption patterns point to clear outcomes: low code becomes the default for most enterprise applications, process orchestration separates leaders from laggards, and predictive workflows replace reactive processes.
The question for enterprise leaders is no longer whether AI-native, low-code-driven operations are required. It is how quickly enterprises can put the foundations in place to run them at scale.
The author is the chief product officer at Kissflow
