Enterprise Mobility and Low-Code: Building Mobile-First Business Applications Without Native Development in 2026
By 2026, enterprise mobility has shifted from a competitive advantage to an operational necessity. Gartner projects that 70% of new enterprise applications will be built using low-code or no-code technologies by the end of this year, up from less than 25% in 2020. The reason is stark: demand for mobile business applications is growing five times faster than internal IT departments can deliver them using traditional development approaches, according to industry research. The result is a massive and widening gap between what enterprises need and what they can build.
Low-code development platforms have emerged as the bridge across this gap. They empower both professional developers and business-side "citizen developers" to create mobile-first business applications — complete with native device capabilities, offline functionality, and enterprise-grade security — without writing hundreds of thousands of lines of Swift, Kotlin, or React Native code. This article explores how low-code platforms are fundamentally reshaping enterprise mobility in 2026, the platforms leading this transformation, the security and ROI considerations that matter most, and where the market is heading next.
The Mobile-First Imperative in the 2026 Enterprise Landscape
The mobile enterprise application market reached an estimated $141.8 billion in 2026, expanding at a compound annual growth rate of 13.1%, according to Research and Markets. This growth is not driven by consumer app stores but by internal business tools: field service dashboards, inventory management systems, sales enablement platforms, and operational workflows that employees access primarily or exclusively through smartphones and tablets.
Several forces are converging to make mobile-first strategies non-negotiable for enterprises in 2026. The global shift toward hybrid and remote work has permanently altered where and how employees perform their jobs. Over 75% of companies now support some form of mobile-first or mobile-only workflows for at least part of their workforce, according to an EY workforce mobility study cited by Tangoe's 2026 Mobility Management report. In parallel, 5G network coverage has expanded to cover approximately 65% of the global population, eliminating the latency and bandwidth bottlenecks that once made mobile enterprise apps impractical for data-intensive tasks.
Why Are Enterprises Prioritizing Mobile-First Strategies in 2026?
The answer lies in measurable business outcomes. Organizations that have adopted mobile-first enterprise strategies report 20% to 30% improvements in field worker productivity, faster decision-making cycles, and significantly higher employee satisfaction scores. When a warehouse supervisor can approve purchase orders from a smartphone while walking the floor, or a field technician can update work orders and capture photographic evidence offline in a remote location, the cumulative efficiency gains translate directly to bottom-line results. The following factors are making mobile-first an urgent strategic priority:
- Workforce expectations: Employees accustomed to consumer-grade mobile experiences now demand the same fluidity from business tools. Millennials and Gen Z, who together constitute over 60% of the global workforce, report frustration with clunky, desktop-only enterprise software.
- Real-time decision velocity: Mobile access to dashboards, approvals, and analytics compresses decision cycles from days to minutes. A sales director reviewing pipeline data from a phone between client meetings can authorize discounts or reallocate resources instantly.
- Operational resilience: Mobile-first architectures built on cloud back-ends proved essential during recent global disruptions, enabling continuity when physical offices became inaccessible.
- Competitive differentiation: In sectors like logistics, retail, and field services, mobile operational capabilities have become a primary competitive vector — not a back-office convenience.
The enterprise mobility management market itself is projected to grow from $81.6 billion in 2025 to $193.1 billion by 2032, indicating that the infrastructure and governance layer around mobile enterprise apps is expanding in lockstep with application demand, as tracked by 360iResearch. Yet for all this demand, the traditional path to building these applications remains prohibitively slow and expensive.
How Low-Code Platforms Are Redefining Enterprise Mobile Development
Traditional native mobile development requires specialized talent — Swift developers for iOS, Kotlin developers for Android, and increasingly React Native or Flutter developers who can bridge both. The global developer shortage is projected to reach 4 million unfilled positions by the end of 2026, with mobile development among the most difficult specialties to hire for. Low-code platforms fundamentally change this equation by abstracting away platform-specific complexity behind visual development interfaces, drag-and-drop component libraries, and declarative logic builders.
Low-code mobile development platforms compress the application delivery lifecycle by 50% to 90% compared to traditional coding approaches, according to data compiled by Kissflow's 2026 No-Code Statistics report. A mobile workflow app that would take a team of three developers 12 weeks to build natively can often be delivered in under two weeks by a single low-code practitioner. This is not merely about writing less code — it is about eliminating entire categories of work: provisioning development environments, configuring build pipelines, managing platform-specific API integrations, and navigating app store submission processes.
The democratization of development — the "citizen developer" movement — is the second pillar of low-code's transformative impact. Gartner predicts that by 2026, 80% of technology products and services will be built by people outside formal IT organizations. In the specific context of enterprise mobility, this means a regional sales manager can build a mobile deal-tracking app, a warehouse operations lead can create a mobile inventory scanner, and an HR director can deploy a mobile onboarding portal — all without writing code or waiting for IT backlog prioritization.
What Makes Low-Code Different from Traditional Mobile Development?
The distinction between low-code and traditional mobile development goes beyond surface-level tooling differences. The following table highlights the fundamental contrasts that drive enterprise adoption decisions:
| Dimension | Traditional Native Development | Low-Code Mobile Development |
|---|---|---|
| Time to first working prototype | 4–8 weeks | 1–3 days |
| Team composition | iOS + Android specialists, backend engineers, UI/UX designers | 1–2 low-code developers or citizen developers with IT oversight |
| Platform-specific code | Separate Swift/Kotlin codebases | Single visual model, compiled to both platforms |
| Iteration cycle | 2–4 weeks per feature | Hours to days per feature |
| Offline capability | Custom implementation, high complexity | Built-in offline sync, declaratively configured |
| Security updates | Manual patching, dependency scanning | Platform-managed, automated scanning and patching |
| App store deployment | Manual build, sign, and submit per platform | Automated CI/CD pipelines with one-click submission |
This comparison explains why 64% of large enterprises with 5,000 or more employees now operate at least one formally sanctioned low-code platform, up from just 31% in 2022. The technology has crossed the chasm from early adopter experimentation to mainstream enterprise infrastructure. Financial services lead adoption at 74% penetration, followed closely by technology and SaaS companies at 88%, as documented in Kissflow's industry adoption benchmarks.
Native-Quality Mobile Experiences Through Low-Code Platforms
A persistent concern among enterprise technology buyers is whether low-code platforms can deliver mobile experiences that match the performance, responsiveness, and device integration of hand-coded native apps. In 2026, the answer is a qualified yes — with the qualification depending on the specific platform, the use case, and the depth of native capability required. Leading platforms have invested heavily in rendering engines, compiled output pipelines, and native bridge architectures that close the gap significantly.
Platforms like FlutterFlow generate clean Flutter and Dart source code that compiles directly to native ARM machine code for both iOS and Android, delivering 60-frames-per-second rendering and full access to platform APIs for camera, GPS, biometrics, and Bluetooth. OutSystems generates real C# and SQL code, with mobile apps rendered through a high-performance native shell that provides access to every device sensor and OS-level capability. Adalo compiles applications into native iOS and Android binaries — not WebView wrappers — and supports direct publishing to both the Apple App Store and Google Play Store.
The most important architectural decision enterprises face is the choice between Progressive Web Apps (PWAs) and native-compiled mobile apps. Both routes are available through modern low-code platforms, and each serves different enterprise mobility scenarios:
- PWAs through low-code: Ideal for broad-reach scenarios where users access the application through a browser without installation friction. PWAs support offline mode, push notifications, and home-screen installation. The PWA market is growing at approximately 31% CAGR and exceeded $5.2 billion in 2025, according to Zorbis industry analysis. Low-code platforms like Microsoft Power Apps and Zoho Creator support PWA output out of the box.
- Native-compiled apps through low-code: Preferred when applications require deep hardware integration (NFC payments, advanced biometrics, Bluetooth peripheral pairing), guaranteed offline reliability, or distribution through managed device fleets via Mobile Device Management (MDM) enrollment. FlutterFlow, OutSystems, and Mendix all support compiled native output.
Can Low-Code Apps Match Native App Performance?
For the vast majority of enterprise use cases — workflow automation, data collection, dashboard visualization, form processing, approval routing — the performance difference between a well-built low-code mobile app and a hand-coded native equivalent is imperceptible to end users. Independent benchmarks show that compiled FlutterFlow applications achieve cold-start times within 200 milliseconds of hand-coded Flutter apps, and OutSystems mobile apps render complex data grids with no measurable lag compared to custom native implementations. Where differences do emerge — in graphically intensive rendering scenarios like 3D visualization or real-time video processing — traditional native development retains an edge. However, these use cases represent a small fraction of enterprise mobility requirements.
Cross-platform consistency is another area where low-code platforms excel. A single visual model that generates identical behavior on iOS and Android eliminates the subtle platform-specific bugs and UX inconsistencies that plague multi-codebase native projects. For enterprise IT teams managing fleets of mixed-device users, this consistency translates directly into reduced support tickets and training overhead.
The Leading Low-Code Platforms for Enterprise Mobility in 2026
The enterprise low-code mobile platform market in 2026 is both deep and differentiated. Platform selection depends on an organization's existing technology stack, developer maturity, security requirements, and whether the primary audience is internal employees, external customers, or both. The following table compares the major platforms across dimensions that matter most for enterprise mobility initiatives:
| Platform | Mobile Output | Best For | AI Capabilities | Enterprise Pricing |
|---|---|---|---|---|
| OutSystems | Native (C#/SQL compiled), PWA | Mission-critical enterprise apps, complex workflows, regulated industries | AI Agent Workbench, automated code generation, security scanning | Custom (typically $1,500+/month) |
| Mendix | Native, PWA, offline-first | SAP-integrated enterprises, logistics, manufacturing | Mendix Assist AI, MxAssist performance bot | $1,875–$5,000+/month |
| Microsoft Power Apps | Native (canvas/model-driven), PWA | Microsoft ecosystem organizations, internal business tools | Copilot AI app generation, AI Builder, multi-agent orchestration | $5–$20/user/month |
| FlutterFlow | Native (Flutter/Dart compiled) | Code-ownership requirements, scalable customer-facing apps | AI UI generation, AI code assistance | $30–$80/seat/month |
| Adalo | Native (iOS + Android compiled) | Small-to-medium business apps, rapid MVPs, non-technical teams | Magic Start prompt-to-app, Visual AI Direction | $36/month flat rate |
| Zoho Creator | Native SDKs, PWA | Rapid business digitization, SMB workflows | AI-powered natural-language app generation | Starts at $8/user/month |
Microsoft Power Apps deserves particular attention for its 2026 trajectory. The Power Platform 2026 Release Wave 1 introduced offline-first canvas apps, Copilot-assisted screen generation from natural language descriptions, and multi-agent AI orchestration through Copilot Studio. Organizations already invested in the Microsoft 365 and Azure ecosystem can build mobile apps that seamlessly integrate with Dataverse, SharePoint, Teams, and Dynamics 365 — a level of integration that would require months of custom API work in a traditional development environment.
OutSystems and Mendix represent the high-end enterprise tier, with OutSystems focusing on full-lifecycle application management and AI-augmented development through its Agent Workbench, and Mendix differentiating on SAP ecosystem integration and model-driven development with microflows. Both platforms support deployment to private cloud, public cloud, and on-premises environments — a critical requirement for enterprises in regulated industries like financial services, healthcare, and government.
Which Low-Code Platform Is Right for Your Enterprise Mobility Initiative?
The platform selection decision should be driven by three primary considerations. First, ecosystem alignment: organizations deeply embedded in Microsoft 365 should strongly consider Power Apps; SAP-centric enterprises will find Mendix's native SAP connectors compelling. Second, code ownership requirements: if the organization needs to own and independently maintain the source code — for compliance, vendor risk management, or long-term roadmap control — platforms like FlutterFlow and OutSystems that support full code export are essential. Third, developer maturity: citizen-developer-led initiatives thrive on platforms like Adalo and Power Apps, while professional-developer-led projects benefit from the deeper customization capabilities of OutSystems, Mendix, and FlutterFlow.
A growing trend in 2026 is the hybrid platform strategy: organizations use a lighter low-code platform like Adalo or Power Apps for rapid prototyping and departmental apps, then graduate validated concepts to OutSystems or FlutterFlow for production-scale enterprise deployment. This approach balances speed of experimentation with the governance and scalability requirements of mission-critical applications.
Security and Compliance in Low-Code Mobile Applications
Security concerns have historically been the most common objection to enterprise low-code adoption, and mobile deployment amplifies these concerns: devices are lost or stolen, connect over untrusted networks, and frequently operate outside the corporate firewall. In 2026, however, low-code platform security has matured to match or exceed the security posture of many custom-built applications. Leading platforms now embed security scanning, dependency vulnerability management, and compliance certification into the application lifecycle by default — capabilities that custom development teams must implement and maintain themselves.
The Zero Trust security model has become the standard architecture for enterprise mobile applications in 2026, whether low-code or custom-built. The core principle — never trust, always verify, and enforce least-privilege access — is implemented through continuous authentication, device posture assessment, and micro-segmented access controls. Low-code platforms now integrate natively with enterprise identity providers (Azure AD, Okta, Ping Identity) and support Security Assertion Markup Language (SAML) and OpenID Connect protocols out of the box, eliminating the custom authentication integration work that traditionally consumed weeks of mobile development effort.
Key security capabilities that enterprises should verify in any low-code mobile platform evaluation include:
- Encryption at rest and in transit: AES-256 for local data storage, TLS 1.3 for all network communication, with certificate pinning to prevent man-in-the-middle attacks.
- Biometric authentication integration: Native support for Face ID, fingerprint scanning, and device-level biometric APIs without custom coding.
- Mobile Device Management (MDM) compatibility: Support for Microsoft Intune, VMware Workspace ONE, Jamf, and other MDM platforms for device-level policy enforcement, remote wipe, and managed distribution.
- Offline data protection: Encrypted local databases with automatic purging of sensitive data after configurable inactivity periods.
- Automated security scanning: Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST) integrated into the platform's deployment pipeline, checking every build for OWASP Mobile Top 10 vulnerabilities.
- Audit logging and compliance reporting: SOC 2 Type II, HIPAA, GDPR, and ISO 27001 certification coverage maintained by the platform vendor.
BYOD (Bring Your Own Device) environments present the most challenging security scenario for enterprise mobility. When employees access corporate applications from personal devices, traditional perimeter-based security models collapse entirely. Low-code platforms address this through containerization — the ability to wrap enterprise mobile apps in secure containers that isolate corporate data from personal data on the device, enforce copy-paste restrictions, and enable selective remote wipe of only corporate assets without affecting personal photos or messages. As NordLayer's Zero Trust BYOD analysis documents, this container-based approach — combined with continuous device posture checks that verify OS patch levels, encryption status, and jailbreak or root detection before granting access — provides defense-in-depth that satisfies even the most stringent regulatory requirements.
Is Low-Code Secure Enough for Regulated Industries?
The evidence from 2026 deployments strongly supports an affirmative answer. Financial services, the most heavily regulated enterprise sector, leads low-code adoption at 74% penetration. Banks and insurance companies are using low-code platforms to build mobile customer portals, claims processing apps, and internal compliance workflows — all subject to regular audits by financial regulators. The key to regulatory acceptance is platform transparency: leading platforms provide comprehensive audit trails, penetration test reports from independent firms, and detailed architecture documentation that satisfies examiner scrutiny. For enterprises subject to GDPR, HIPAA, or PCI DSS requirements, the platform vendor's contractual commitments to data residency, processing location control, and breach notification timelines are as important as technical security features.
Cloudflare's 2026 announcement of the first Zero Trust SIM for mobile devices represents the frontier of enterprise mobile security. By securing every packet at the SIM or eSIM level before it reaches the application layer, this approach extends Zero Trust principles to the network transport itself — protecting low-code mobile apps against SIM swapping attacks, rogue cell tower interception, and Wi-Fi-based man-in-the-middle threats that operate below the application's visibility. As this technology matures and becomes available through carrier partnerships, it will further strengthen the security argument for low-code mobile deployment.
The ROI of Low-Code Mobile Development: Speed, Cost, and Agility
The financial case for low-code mobile development is compelling and well-documented. On average, low-code platforms reduce mobile application development costs by 70% compared to traditional native development, transforming a $300,000 application investment into a $75,000 one, according to Adalo's comprehensive compilation of no-code adoption statistics. But cost reduction is only one component of the value equation — and arguably not the most important one.
Speed-to-market represents the primary ROI driver for most enterprises. When a business unit identifies a mobile workflow opportunity, the traditional development cycle — requirements gathering, UI/UX design, iOS development, Android development, backend integration, testing, app store submission — can stretch from 6 to 18 months. By the time the application ships, the business need may have evolved or the competitive window may have closed. Low-code platforms compress this cycle to weeks or even days. 72% of low-code users report completing full applications in under three months, and routine workflow apps are frequently delivered in under a week. The business value of capturing process improvement opportunities immediately, rather than queueing them for next year's development cycle, often dwarfs the direct cost savings.
The following table quantifies the ROI dimensions across different scales of enterprise mobility initiatives:
| ROI Dimension | Traditional Native | Low-Code | Improvement |
|---|---|---|---|
| Average development cost per mobile app | $150,000–$450,000 | $15,000–$75,000 | 70–85% reduction |
| Time from concept to production | 6–18 months | 2–8 weeks | 70–90% faster |
| Annual maintenance cost (% of build cost) | 15–20% | 5–10% (platform-managed) | 50–75% reduction |
| Developer productivity (apps per developer per year) | 1–2 | 6–12 | 3–10x increase |
| Citizen developer annual time savings | N/A | 250 hours per year | Elimination of manual workarounds |
| Three-year platform ROI | Baseline | 206–506% | Documented by Microsoft and OutSystems studies |
Beyond direct financial metrics, low-code mobile development delivers important strategic agility benefits. When market conditions shift — a new regulatory requirement, a competitor's product launch, a supply chain disruption — the organization's ability to deploy an operational mobile response within days rather than months can be worth millions. This optionality value is difficult to quantify in a spreadsheet but represents, for many enterprises, the most significant economic advantage of the low-code approach.
How Quickly Can an Enterprise See ROI from a Low-Code Mobile Platform?
Platform payback periods typically range from 60 to 90 days for initial deployments, according to vendor-reported customer data. The first one or two mobile applications delivered through the platform often cover the annual platform licensing cost on their own, making every subsequent application essentially marginal-cost-free from a tooling perspective. Organizations that commit to a formal low-code mobile strategy — with executive sponsorship, a center of excellence, and structured citizen developer enablement — report average annual savings of $1.7 million from displaced custom development, reduced vendor spend, and eliminated manual process costs. These organizations also report that the low-code platform becomes self-funding within the first quarter of active use.
Real-World Enterprise Mobility Success Stories
Abstract statistics become compelling when grounded in real deployments. Two case studies from 2025–2026 illustrate the transformative potential of low-code mobile development in very different enterprise contexts.
Normal, a fast-growing European retail chain opening a new store approximately every 40 hours across 12 countries, faced a critical operational bottleneck: shelf label updates, once-a-day processes that required manual data entry across 4,000-plus point-of-sale terminals. Using the OutSystems low-code platform and implementation partner Devoteam, Normal built a mobile-first "Store App" that transformed operations. Shelf label update time collapsed from 30 minutes to under one second. Data synchronization across all terminals dropped from 8 hours to 15 minutes. An AI-powered invoice processing agent was built using OutSystems Agent Workbench in just 34 hours. Today, 95% of daily store operations are handled through the mobile app, serving over 11,000 users, as documented by Devoteam's published case study.
CARU Containers, a global shipping container leasing and sales company, initially attempted a traditional ERP development project with a different platform but switched to Mendix after two years of unsatisfactory progress. The result was "Nova," a fully custom ERP system delivered in just 10 months — supporting hundreds of role-based views spanning sales, maintenance, inventory, and finance. The application went live in August 2025, with a mobile interface enabling container yard operators and logistics coordinators to update inventory and process transactions from any location. CARU is now extending the platform with a customer portal, web shop integration, and real-time container tracking, as detailed in the Mendix customer story.
These examples share a common pattern: enterprises using low-code platforms to build mobile applications that would have been economically or organizationally impossible through traditional development. The Normal app would have required a mobile development team of 12 to 15 engineers and a timeline measured in years; instead, it was delivered by a small team using a low-code platform and an implementation partner. The CARU ERP replacement would have been a multi-year, multi-million-dollar SAP or Oracle implementation; instead, it was a 10-month Mendix project. This is the promise of enterprise low-code mobility made tangible.
The Road Ahead: AI, Super Apps, and the Next Wave of Enterprise Mobility
The convergence of artificial intelligence and low-code development is the defining trend shaping the future of enterprise mobility. In 2026, every major low-code platform has embedded AI capabilities that go far beyond code completion. Microsoft's Copilot in Power Apps can generate complete mobile app screens, data models, and business logic from natural language descriptions. OutSystems' AI Agent Workbench enables the creation of autonomous AI agents that operate within mobile applications — processing invoices, routing approvals, and answering employee queries. Adalo's Magic Start and FlutterFlow's AI builder can generate functional mobile app prototypes from text prompts in minutes.
These AI capabilities are accelerating an already fast development process. Organizations report 40% to 60% additional time savings when using AI-assisted features within low-code platforms, effectively compressing what was once a year-long mobile development project into weeks. More significantly, AI is lowering the skill barrier further: a business analyst who can describe a mobile workflow in natural language can now generate a working prototype without understanding data modeling or component architecture. This expands the addressable population of potential app builders within the enterprise by an order of magnitude.
The super app model — a single mobile application that bundles multiple enterprise services (HR, collaboration, analytics, workflows, expense management) into a unified interface — is gaining traction in 2026. Gartner predicts that more than 50% of the global population will be daily active users of multiple super apps by 2027. For enterprises, the super app model addresses the app-sprawl problem: employees juggling 15 different mobile business apps with inconsistent UX, separate authentication, and fragmented notifications. Low-code platforms are uniquely positioned to enable the super app model because their component-based architecture allows teams to independently build and maintain functional modules that compose into a unified mobile experience.
Multi-experience development platforms (MXDPs) represent the architectural evolution of low-code for mobile. The MXDP market is growing at 22.6% CAGR, projected to reach $12.9 billion in 2026 according to Research and Markets. MXDPs extend the low-code paradigm beyond mobile phones to encompass tablets, wearables, kiosks, voice assistants, and augmented reality headsets — all from a single development environment. For enterprises building field service applications, this means the same low-code model that generates a smartphone interface for the technician can also generate a smartwatch notification for the dispatcher and a voice-activated query interface for the warehouse manager.
Will AI Replace Low-Code Developers — or Supercharge Them?
The evidence from 2026 strongly supports the supercharge thesis. AI is not replacing the need for human judgment in application design; it is eliminating the tedious, repetitive work — generating boilerplate screens, wiring up standard connectors, writing CRUD logic — that consumes the majority of development time. The human developer, whether professional or citizen, focuses on what the application should do, how it should feel, and what business rules should govern its behavior. AI handles the implementation details. This division of labor makes low-code development faster still, while preserving the human creativity and domain expertise that determine whether an application genuinely serves its users.
Looking further ahead, the integration of edge AI and on-device machine learning into low-code mobile platforms will unlock new categories of enterprise applications. Imagine a low-code-built mobile app for retail inventory that runs computer vision models directly on the device — counting stock from a photograph without ever sending data to the cloud. Or a field inspection app that uses on-device natural language processing to generate structured reports from spoken observations in environments with no connectivity. These capabilities, currently requiring specialized machine learning engineering, will become drag-and-drop components in the next generation of low-code mobile platforms.
Conclusion: Embracing the Mobile-First, Low-Code Future
Enterprise mobility in 2026 is no longer a question of whether to build mobile applications but of how to build them fast enough, securely enough, and cost-effectively enough to meet escalating business demand. Low-code development platforms have emerged as the clear answer to that question. They transform mobile application delivery from a scarce, expensive, slow process into an abundant, accessible, rapid one — without sacrificing the native performance, device integration, or enterprise security that business-critical applications require.
The data supporting this transformation is overwhelming. A market growing at double-digit CAGR. Adoption rates crossing 70% across large enterprises. Development speed improvements of 50% to 90%. Cost reductions of 70% or more. ROI documented at 206% to 506% over three years. But beyond the numbers, what matters is the change in organizational capability: the ability to respond to a new business requirement with a working mobile solution in days, not years. That capability — strategic agility — is what makes low-code mobile development not just a better way to build apps, but a fundamentally different way to run a business.
The enterprises that will lead their industries through the remainder of this decade are those that recognize mobile-first as a strategic posture, not a project checklist item. They will invest in the platforms, governance frameworks, and citizen developer enablement programs that make mobile application creation a core organizational competency rather than a specialized IT service. They will embrace AI as a force multiplier for their development capacity. And they will do all of this through low-code platforms that make mobile-first enterprise application delivery as natural as creating a spreadsheet.
The gap between mobile demand and development capacity is not closing on its own — but low-code platforms have given enterprises the tools to close it themselves. The only remaining question is how quickly each organization chooses to act.