Platform Engineering
AI models, data, systems and applications all pulling in the same direction for your organisation. That is the end goal, and it takes a digital platform that works as one. With Platform Engineering, Indicia sets up your IT architecture so your tech, data and AI work together securely and at scale.
What is Platform Engineering?
Platform Engineering is the Indicia capability for setting up the technological basis your AI solutions and other digital applications run on.
We make sure architecture, integrations and digital portals are set up so systems talk to each other, data is reliably available, and AI applications can run securely and at scale.
What do we do?
Setting up the IT infrastructure so systems, data and AI connect in a way that makes sense.
Designing and building portals that support core processes and give AI a fixed place in the user experience.
Setting up integrations between systems, portals and AI applications, with a clear API strategy and robust integration patterns.
Embedding logging, monitoring and management, so new functionality joins the existing landscape in a controlled and secure way.
What does it deliver?
Systems, data and AI work as one, instead of sitting side by side as separate parts.
New applications and changes can go live quickly and in a controlled way, without upsetting the existing landscape.
Staff, customers and partners work through portals that match how processes actually run.
Your digital platform grows with your organisation, without having to start over each time.
How do we go about it?
Mapping out user flows
Which actions belong together in one digital flow for customers, staff or partners? Which portals and processes do those flows touch?
Getting to grips with the current landscape
We take a close look at what you have today. Which systems are already there? Where does the coherence break down? And how mature is the current integration and API layer?
Designing the target architecture
We sketch a clear goal: what the digital landscape looks like in the medium term, including where AI sits in it.
Prioritising and setting the roadmap
We do not build everything at once, but smartly and in a controlled way. Together we decide on the best place to start. That could be building a specific portal, putting in a critical integration, or running a platform scan.
Building, testing and going live
We work iteratively. Step by step. With attention to data security, scalability and manageability.
Managing, monitoring and developing further
After go-live we monitor and manage your solution closely. We also look for improvements together, so your application keeps performing the way you expect.
Why Indicia?
Indicia is a tech, data and AI partner that helps clients lead in the AI era. We don't overthink it, we build. Results in weeks, not months. With privacy and security as the foundation. Driven by senior experts who work right alongside you. That's how you turn AI into action.
We have experience across sectors, from public sector organisations to finance and SMEs. So we know what comes with complex landscapes, legacy systems, strict compliance requirements and high user expectations.
- 01
Certified and compliant
ISO 27001 certification and an ISAE 3000A Type II report.
- 02
Broad sector experience
Experience across education, government, finance, HR and IT.
- 03
A proven approach to fitting AI into existing platforms
No greenfield fantasy. We work with your stack, your governance and your go-to-market.
Our three other capabilities
Every stage is backed by hands-on expertise. We bundle it into four capabilities:
Business Acceleration
We turn AI strategy into market impact, from narrative and experience design to go-to-market activation.
Data Architecture
We lay a robust, reliable data foundation for your AI tools, systems and applications.
Operations & Governance
We keep an eye on how your AI tools, systems and applications perform, and keep them stable and in control.
Take control of AI in your organisation
Platform Engineering is about the foundation: architecture, portals and integrations that work together as one. Ordinary software development builds features. We make sure those features, AI included, have a manageable, durable place in your digital landscape.
Any organisation with several digital systems that notices they do not add up to a whole. Especially if AI initiatives are not getting off the ground or keep stalling at pilot stage. Platform Engineering suits SMEs, large corporates and public sector bodies alike.
No. We start with a scan of your current landscape to understand where the pain is and where there is most value to gain. A clear starting point speeds things up, but it is not a requirement.
That depends on how complex the current landscape is and how ambitious you are. We always work in steps: from a first scan or architecture sketch to a concrete improvement to a specific portal or integration layer. That way you get insight quickly and we start building in phases.
Yes, because an existing architecture does not always tell you how systems really work together in practice. We look at what is actually there, where the friction is, and how AI can fit into it.