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.
Relevant organisations may include
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. An education business may develop its own learning or assessment platform.
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.
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
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 establishes that operating context first, then applies the assurance criteria proportionate to it.
Lornets assesses and strengthens technical systems and controls. It does not provide legal or regulatory advice and does not certify compliance. Where specialist legal, regulatory, privacy or accredited assurance is required, that work belongs with appropriate external specialists.
For teams that can build quickly but need production depth
AI agencies, product studios and venture teams can often move from an idea to functioning software extremely quickly. Lornets can become the specialist production assurance and engineering layer when those products begin carrying greater technical responsibility.
Relevant partner types
AI agencies · Product agencies · Venture studios · Fractional CTOs · Specialist consultancies
Teams whose rapidly built software has become important
Some of that 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.
The industry matters less than what has changed.
Each trigger below changes what the business is asking the software to withstand. Follow one to the work that usually answers it.
- 01The product has become important to the businessWhat began as an MVP or rapidly built product now has real customers, revenue or operational dependency.
- 02A serious customer is scrutinising the technologyAn enterprise buyer is asking about security, architecture, resilience, data handling, operational controls or technical commitments.
- 03Fundraising or technical diligence is approachingManagement expects investors or advisers to challenge claims about the technology, architecture, scalability, technical debt or AI capability.
- 04A major rewrite or migration is being proposedThe organisation is considering a significant rebuild, cloud move, backend replacement, platform transition or architectural decomposition.
- 05The system is beginning to show strainIncidents, performance problems, difficult deployments, maintenance friction or scaling constraints are becoming material.
- 06An AI use case needs to move into real operationsThe intent is clear, but production requires integration, data access, permissions, evaluation, controls, observability and adoption before the workflow can depend on it.
- 07The organisation needs ongoing production stewardshipThe software continues changing and the business needs continuing technical challenge, assurance maintenance and support around material production changes.
When Lornets is probably not the right starting point
Lornets is generally not designed for idea-stage founders who simply need their first MVP built, basic brochure websites or organisations primarily looking for low-cost development capacity.
Lornets is most useful when software already carries meaningful responsibility, or when a new capability is being introduced into a process that does.