Who we help
For organisations where software carries real consequences.
Lornets works where software already matters to customers, operations, growth or sensitive information, and where consequential AI capabilities are moving into real operations.
Some of those organisations sell software. Others do not consider themselves technology companies at all. What matters is that software now carries consequences for the business.
Software companies entering a more demanding stage
A product that was appropriate for early users may face very different expectations once the company begins raising capital, scaling usage, selling to enterprise customers or depending on the product for meaningful revenue.
B2B SaaS · AI SaaS · Vertical SaaS · FinTech · RegTech · HealthTech
When a business becomes dependent on software
An organisation does not need to be a software company to develop serious software risk. A legal practice may build an AI document system. A healthcare organisation may create a patient workflow. A financial services firm may build a customer portal or internal decision tool.
Once real operations or sensitive information depend on those systems, the engineering standard required from them changes. Lornets can assess whether the existing system is appropriate for that level of responsibility and identify what should remain, what should be strengthened and what genuinely needs to change.
Legal · Financial services · Healthcare · Education · Professional services · Insurance · Property · Recruitment · Logistics
Organisations adopting AI in real operations
Some organisations are not yet operating an important system, but intend to use AI inside a process that matters: assessing a case, handling a document, supporting a decision or removing manual work.
The difficulty is rarely the model. It is establishing whether the use case is viable, how acceptable behaviour will be measured and what has to be true before the organisation can depend on the result.
When the data raises the stakes
Production readiness is not only a question of traffic or scale. A relatively small application can still carry substantial risk if it processes sensitive, regulated or commercially important information.
Customer information · Financial information · Health-related information · Confidential documents · Commercially sensitive records · Employee information · Authentication and identity data
In these situations, architecture, access control, data handling, security, reliability, recovery and operational visibility can matter long before the application reaches large user numbers.
Lornets assesses and strengthens technical systems and controls. It does not provide legal or regulatory advice and does not certify compliance.
Software that often becomes important
These are examples of the kinds of systems that tend to acquire real responsibility. They describe use cases rather than client work.
- Customer portals
- Internal operational platforms
- AI-assisted workflows
- Case-management systems
- Document-processing systems
- Financial workflows
- Reporting platforms
- Customer onboarding systems
- Scheduling systems
- Knowledge-management tools
- Internal automation
- Data-processing applications
- Decision-support systems
- Bespoke business applications
Teams whose rapidly built software has become important
Some software was built quickly, with AI assistance or through modern application-development tools, and has since moved beyond experimentation into commercial or operational use. The development method is not the issue. The original engineering assumptions simply predate what the organisation now expects.
AI agencies, product studios and venture teams work the same way. Lornets becomes the specialist production assurance and engineering layer when what they have built starts carrying real responsibility.
AI agencies · Product agencies · Venture studios · Fractional CTOs · Specialist consultancies
The industry matters less than what has changed.
Lornets is most useful when software already carries meaningful responsibility, or when a new capability is being introduced into a process that does. The specific situations that usually prompt a call, and the ones where we are not the right fit, are set out in one place.