Case Study

Edge- and IoT-enabled services for banking

Enabling next-generation financial services with IoT, edge analytics, and real-time intelligence.

CamIn works with early adopters to identify new opportunities enabled by emerging technology.

Revenue:

$5 billion+

Employee headcount:

50,000+

Opportunity:

Digital services

Service:

AI, digitalisation, and automation

Sponsored:

SVP Innovation

of CamIn’s project team comprised of leading industry and technology experts

CamIn’s expert team

mn+

For $40,000, we de-risked their $50 million investment

expert teams

CamIn'steam of 2 external expert teams specialised in IoT and edge computing for the financial sector.

x faster

CamIn completed the work in 8 weeks, 3 times faster than the client’s internal teams

Discover more opportunities in

Digital services

Client’s problem

The client, a leading bank, launched this project from a position of strong financial performance but recognised the urgency to anticipate disruption from IoT and edge computing.

The bank wanted to identify emerging technologies and confirm high-value use cases that could shape new financial services over the next five years.

By doing so, the bank aimed to unlock growth opportunities, capture new revenue streams, and target measurable increases in market share while reducing time-to-commercialisation risks, strengthening long-term competitiveness, and positioning itself as an industry innovator ahead of its peers.

CamIn’s solution

Key questions answered

Which IoT and edge technologies are most relevant to financial services?
What high-value use cases do they enable?
How feasible and desirable are these use cases?
What critical success factors define each service line?
Which new services, capabilities, and partners should the client pursue?

Our Approach

24	Edge computing and IoT technologies identified which unlocked a variety of key functions, including data capture, local processing, analytics & decision making, and more
110	Technology use cases identified within 6 key areas including real-time fraud detection and security and low-latency trading and treasury systems
18	High-value technology use cases shortlisted after confirming market desirability (revenue generation, cost savings, customer satisfaction/CX enhancements) and technical feasibility (commercialization timeline, recent activity, development trajectory, and barriers to adoption).
10	High-value products confirmed for investment along with an adoption roadmap which laid out a clear implementation plan including checkpoints for year 1, 1-3 years and 3-5 years.

Results and Impact

CamIn provided a clear adoption roadmap of 10 shortlisted services, confirming technical feasibility and market desirability.

The client is currently confirming an investment budget with key stakeholders. CamIn will support them on developing business cases followed by piloting products.

The client gained clarity on specific IoT- and edge computing product opportunities within the competitive banking and financial services sector.

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Example Outputs

What are edge computing and IoT?

Edge computing and IoT involve deploying distributed sensors, connected devices, embedded processors, and local analytics systems that capture, transmit, and process data directly at or near the point of activity. Instead of relying solely on centralised cloud infrastructure, edge systems perform real-time computation locally, reducing latency, improving reliability, and enabling instant decision-making for time-critical financial operations.

Why are edge and IoT important for the financial sector?

Financial institutions increasingly face pressure to deliver low-latency services, reduce fraud, personalise customer interactions, and modernise ageing infrastructure. Branches, ATMs, payments terminals, trading systems, and physical customer touchpoints all generate high-value data that are currently under-utilised. Edge and IoT technologies allow banks to process this data in milliseconds, enabling secure authentication, instant fraud detection, enhanced customer experience, cost-efficient operations, and new revenue-generating service lines. As digital competitors grow and regulatory expectations tighten, banks now view edge and IoT as critical technologies to maintain competitiveness, reduce operational risk, and accelerate time to market for new services.

What opportunities are emerging in edge and IoT?

Major opportunities include real-time fraud detection at the point of transaction, biometric identity verification on edge payment devices, intelligent ATM operations, ESG and regulatory monitoring via distributed sensors, low-latency trading and treasury operations, and smart-asset or usage-based financing. Traditionally these activities depend on centralised systems that are slow, expensive, and vulnerable to network bottlenecks. By shifting analytics to the edge, banks can unlock new payment services, improve customer experience, reduce losses, and create entirely new digital service lines across embedded finance, secure payments, and real-time risk intelligence.

What edge and IoT technologies are emerging?

A growing suite of technologies underpins edge-enabled financial innovation. These include edge AI chips and local inference engines, IoT sensors for authentication and payments, secure connectivity protocols, on-device analytics, distributed edge security architectures, and integrated edge-cloud orchestration platforms. Banks are also exploring specialised hardware for low-latency trading, advanced biometrics, smart ATM modules, and tamper-resistant edge devices. Together with real-time data pipelines, federated learning, and device-level encryption, these technologies provide the foundation for next-generation financial services that can operate securely, intelligently, and with millisecond performance at scale.