Low-code platforms for financial services: the do’s and don’ts

Australia’s financial institutions have no shortage of ideas for better customer experiences and smarter AI use cases. From automating KYC checks and loan approvals to scaling payment volumes, automating fraud investigations, and powering end-to-end AI agent workflows, there are endless opportunities for teams that want to turn ambition into action.

But for APRA-regulated financial services firms, ambition has never been the challenge. The real barrier is time. Teams are already stretched thin between day-to-day work and project requests. And because financial institutions need to stay on the cusp of compliance even more so than other industries, every application needs to be carefully considered.

Low-code platforms are one way to free up time for innovation. These solutions replace code-heavy development with visual tools, reusable components, and AI-supported flows for building and deploying applications. This helps to ease the developer backlog while giving teams a more practical way to modernise and turn ideas into working models.

That said, removing barriers to development can also remove the safeguards that protect financial service firms from risk. If every new app brings its own data, logic, and security controls, low code can multiply the complexity it was meant to solve. As such, teams need to treat the shift with the same preparation as they would any major platform investment.

In this guide, we’ll show you what to look for in a platform so you can maximise the benefits of low code in financial services while staying on the right side of your APRA regulations.

• Low-code can ease developer backlogs, but financial institutions need more than a basic visual app builder if they want to maintain APRA compliance.
• A shared data layer is the starting point. It keeps every app, team, workflow, and agent grounded in the same customer context.
• API-led integration replaces brittle one-off connectors with a connected, centrally governed architecture.
• Governance needs to follow the whole low-code build process from development to deployment so teams can manage APRA obligations without losing control.
• The strongest solutions like the Headless 360 platform combine low-code tools while still giving developers AI-supported pro-code capabilities for creative projects.

• Financial teams need more capacity to modernise
• Low-code gives stretched teams a better way forward
• Enterprise low-code demands more than a basic builder
• Choosing a low-code platform for financial services
• And the best part is what comes next
• Build on a platform, not another point solution
• FAQs

Financial services firms are entering a new era of modernisation. At our Sydney Financial Services Summit, we saw firsthand how Agentblazers are reimagining the applications, workflows, and AI use cases that power their businesses. For a quick peek, check out pay.com.au’s journey to see how they’re innovating on the Headless 360 platform.

Of course, while success stories can be inspiring, they aren’t always a great source of guidance. The reality is that many Australian institutions still see modernising apps and building their agentic enterprise as an unattainable goal: “for them, but not for us”.

For CIOs and IT application managers getting squeezed from both sides, that scepticism comes from a fair place. IT project requests have risen 18% year on year, yet 29% still miss their deadlines. Meanwhile, ageing on-premises applications, fragmented data, and APRA obligations like CPS 234 and CPS 230 make innovations harder to create and deliver safely.

The result is a Catch-22: The institutions under the most pressure to modernise often have the least capacity to do it. When every new application and AI capability requires a stretched team to build it from scratch, digital transformation comes second place to maintaining regulatory compliance and the urgent tasks that keep the lights on.

For many financial services firms, the solution to the IT time crunch starts with reducing the amount of responsibility that falls on the shoulders of developers. Low-code platforms give teams a smarter way to build and adapt applications through visual tools and reusable components, with flexibility for manual coding when needed.

Instead of asking developers to hand-code every screen and automation, teams can assemble their own apps using building blocks and visual workflows. And now, with the opportunity to both code alongside AI agents and build agents to deploy throughout your business, there are even more ways to turn big ideas into transformative automation.

As an example, with Agentforce Builder, you can design powerful, trusted agents using pre-built building blocks, or build and iterate from scratch using Agentforce Vibes as a collaborative coding partner. From there, you can ground your agents in your customer data, business logic, and guardrails, test safely in sandboxes, and deploy your multi-agent teams across your financial services ecosystem without ever giving up visibility or control.

The benefits come from all sides. Teams have more creative freedom to build the applications that will solve today’s challenges without getting held back by a development queue, while developers get more time for the work that matters, like deep creativity, complex integrations, and the high-value work that demands their expertise.

As you can see, low-code can free up developer time and open the door to powerful automations, workflows, apps, and AI experiences. All that said, APRA-regulated financial institutions don’t have the luxury of turning application development into a playground. The risk is that democratising coding solves one problem while creating another.

A lightweight builder can help your team launch an app quickly, but those new builds still need data, integrations, permissions, testing, monitoring, and ongoing maintenance. If those capabilities sit outside of your platform or you have to rebuild them for every project, faster development cycles become a fast track into disconnectivity and technical debt.

Eighty-two per cent of developers say their infrastructure needs to be updated before they can build and deploy AI agents. Just because a builder helps you deploy quicker doesn’t mean it will give you a foundation that supports security, customer trust, and compliance.

So, when you’re investing in a platform, look beyond agile development. The better question is whether the platform delivers the connected architecture you’ll need as adoption grows. In the next section, we’ll show you what to look for so you can modernise safely.

Choosing a low-code platform means looking past the builder itself. The real test is whether every new app can rely on the same data, integrations, governance, and development environment as adoption grows.

The four areas below give you a practical way to judge that foundation, starting with the architecture beneath every app and working up through connectivity, control, and development.

One of the draws of democratising development is that it lets teams solve problems on their own. However, that freedom can also reintroduce the fragmentation you’re trying to escape.

When service, sales, lending, and claims all build apps to solve their individual issues, you can quickly end up with a dozen point solutions that solve isolated challenges but can’t function as a group. Employees are then left system hopping to piece together context, while workflows and agents can only act on a fragment of the data their app can see.

The first platform feature you should prioritise is a shared data layer. This is the common architecture that will sit beneath every app. Look for a foundation that can:

• Bring your financial, transactional, CRM, and behavioural data into one place
• Reconcile all of your separate records into properly unified customer profiles
• Keep track of the relationships between customers, accounts, policies, and claims
• Keep those profiles current in real time as new customers and interactions arrive

As an example, Data 360 is the underlying system of context beneath the Headless 360 platform. It can unify data from all your systems, data warehouses, and apps, then make that shared layer available across Agentforce Financial Services and the wider Customer 360 ecosystem. Handily, it also uses a Zero Copy architecture, meaning it can bring your external data sources into a real-time view without creating a duplicate.

This is how you give teams the freedom to build for their own needs without creating a collection of data silos that make unified customer context harder to achieve.

A shared data layer gives every team, app, and agent centralised access to customer context. But this alone won’t power end-to-end workflows. For that, your systems need to be able to communicate and exchange data automatically.

Most low-code platforms will offer one-to-one connectors to popular cloud platforms. For instance, you might connect your customer portal to your verification tool, then connect that to your banking software to create an onboarding workflow.

The problem here is that each connecting bridge exists in isolation, with its own logic, data mappings, cybersecurity rules, and error-handling processes. As a result:

• The integrations become the new backlog as devs lose all their hard-fought time to maintaining them.
• When your team patches or upgrades one app, this can break the entire workflow downstream, meaning devs need to update that app, too.
• When you want to connect a new system with a legacy tool, the tools will often use two different data formats. That equals more coding and more middleware.
• When it’s time to fix an error, developers have to trace, find, and fix the root cause, then retest every downstream dependency to check nothing else is broken.

Those trade-offs might be manageable across five apps and 10 integrations. But today, financial services institutions with more than 1,000 employees use 974 applications on average , of which only 27% are connected. At that scale, adding one more app becomes hundreds of new connections and integration becomes the workload itself.

The goal for financial services businesses is to replace point-to-point connectors with a unified, governable API integration layer. Instead of treating every one-off link as an isolated bridge, look for a platform that gives you an architecture to build custom integrations, reuse them across similar projects, and manage them through a shared control layer.

Agentforce MuleSoft is the connectivity layer that links the Headless 360 platform to the rest of your enterprise. Through our Anypoint Platform, teams can design, build, secure, monitor, and reuse APIs across cloud platforms, legacy systems, databases, and external services.

Combined with Data 360, this creates a connected architecture in which APIs can move data and trigger actions while the shared data layer underneath stays consistent.

At this point, you'll have a unified architecture and an API-led ecosystem that keeps your old and new systems connected. The next big test is how you keep those apps under control.

Whether your app stack is fragmented or completely intertwined, that doesn’t eliminate the need for compliance. Every obligation creates controls you need to apply consistently and evidence you need to maintain across every app, workflow, and agent.

In practice, your platform decision needs to answer three questions:

• CPS 234 : Can you apply consistent data security controls, detect incidents, test those controls, and produce audit evidence across every build?
• CPS 230 : Can the provider support critical operations through disruption and help you move services or data safely if you need to exit?
• The Privacy Act : Can you control how customer information is accessed, kept private, retained, and deleted across apps, workflows, and agents?

The main takeaway: You can’t bolt on a governance framework at the end. It needs to follow every build, from development and testing through to cloud deployment and monitoring.

Look for a native governance layer that you can apply across every app, workflow, integration, and agent. You’re looking for a solution that lets permissions, consent rules, audit trails, and data access be managed centrally rather than rebuilt for each project.

Salesforce treats security, privacy, governance, trust, and resilience as platform-level necessities. Here’s how our Headless 360 platform helps businesses build, deploy, and scale without making guardrails and compliance automation an afterthought:

• Shieldencrypts sensitive data, identifies at-risk records, and preserves detailed activity and field histories for investigations and APRA audits.
• Security Centre gives teams a central view of permissions, configurations, and risk across the entire Salesforce ecosystem.
• Privacy Centre helps manage consent, retention, deletion, data-subject requests and more in one place.
• Sandboxes andDevOps Centre help teams isolate the development process in a secure environment and test new features without impacting core workflows.
• Agentforce Observability gives you full control over all of your AI agents from a single, centralised command centre.
• Hyperforce, our public cloud infrastructure, supports regional data residency and resilience requirements across the platform.

The best part? Because all of your data, apps, agents, and workflows live on the same foundation, you can apply governance rules and policies across the entire ecosystem without rebuilding them for every project. This gives you room to scale development while keeping oversight and accountability consistent in one place.

Once your data, governance, and system integration capabilities are in place, the final question is what teams can actually do with that framework.

Basic visual development tools can do a lot for smaller teams that just want to build forms and straightforward automated workflows. But they can quickly hit a wall when developers need to build something more complex.

The goal is balance. Financial services teams need a platform that lets those with experience build with reusable components and workflows, while still giving developers the freedom to create and innovate.

Look for a platform where low- and pro-code tools exist on the same foundation. This empowers more teams to contribute to development and design apps in response to immediate business needs, while developers retain the freedom to extend those builds when complexity grows.

On the Headless 360 platform, App, Agent, and Prompt Builder provide the visual tools and drag-and-drop features to build applications and AI agents without starting from square one. From there, Agentforce Vibes gives developers an AI-supported environment to build, debug, test, and deploy the custom code complex projects demand.

Once your teams can build safely on a connected platform, AI agents become the next natural step. The same architecture you’ve already built can support agents that serve customers, prepare employees, and coordinate multi-step workflows throughout your business. For instance, with Agentforce for Financial Services, you could deploy an agent to:

• Guide a borrower through product discovery, collect their eligibility details, surface suitable options using Data 360 context, then pass qualified applications to a rep.
• Verify a banking customer, review their account, and start a card replacement, while passing over to a rep when a case needs human input.
• Give relationship managers a daily brief over Slack, covering upcoming clients, open tasks, and recent activity, then prepare meeting notes and follow-ups for review.
• Pull together a wealth management client’s household relationships, portfolio performance, goals, and risk appetite to draft up an adviser briefing.

This is where your earlier investment starts to compound. Customer profiles, APIs, workflows, and business rules become reusable app building blocks that teams and agents can draw on to complete more complex tasks from end to end.