Altkom Software

The insurance industry is moving from talking about AI to testing it in real operational processes. And two questions come up fast: where does AI actually pay off, and how can it connect with existing systems without losing control over data, access, and compliance?

This is why MCP is getting so much attention as the missing link between legacy systems and AI agents. Technically, though, it answers a familiar challenge: how to safely make system data and functions available to new business layers.

That is where our experience in insurance systems, integrations, and process automation comes in. We design an MCP layer for insurers that lets AI assistants use data and functions from existing systems in a controlled, auditable way — without replacing core platforms or adding another set of point-to-point integrations.

🔗 The work starts with a PoC on a real process, so insurers can see where AI genuinely reduces operational workload and how to move safely from test to implementation ➡️ https://www.altkomsoftware.com/industries/insurance/ai-and-data-for-insurance/

In digital insurance sales, every additional step is often treated as a conversion risk. But in practice, customers rarely drop off because a journey is too long. More often, they leave at the moment a decision feels unclear, difficult, or risky.

That is why conversion is not only about reducing steps. It is about managing decision friction: explaining coverage clearly, making options easier to compare, and helping the customer move forward with confidence.

In the article, we look at why real friction in insurance sales is tied more to decision moments than to interface length alone.

🔗 Read the article here ➡️ https://www.altkomsoftware.com/blog/friction-paradox-in-insurance-sales-do/

📈 Is your leasing process still too manual to scale efficiently?

When ex*****on in the banking channel depends on manual intervention, slow approvals, and limited process control, growth quickly becomes harder to manage.

In our latest case study, we show how a leading leasing provider used Altkom Loan Origination (ALO) to automate and accelerate the financing process — improving turnaround time, consistency, and operational efficiency.

Results:
✅ processing time reduced from 5–7 days to less than 12 hours
✅ over 70% of cases handled automatically
✅ 60% faster launch of new financial products
✅ lower operating costs and higher throughput

🔗 See the details: https://www.altkomsoftware.com/case-studies/digital-leasing-with-over-70-of-cases-automated/

In mobile banking development, priorities are often shaped by technology, backlog pressures, and competitive demands. These are important factors, but they should not be the starting point for design decisions. From the customer’s perspective, what matters most is whether the app makes it easy to complete a specific task quickly, clearly, and without unnecessary effort.

In his new article, Szeszko explains why mobile banking strategy should start with analyzing real user behavior and the moments when the app is expected to provide meaningful support.

🔗 This is a useful perspective for anyone looking to shape the mobile channel around actual user experience. Read the article here ➡️ https://www.altkomsoftware.com/blog/mobile-banking-development-customer-behavior