Six capabilities that share one engineering standard
Most problems arrive as a symptom rather than a service name. These are the six areas we work in, and the order in which they usually get combined. Each one is scoped and priced as its own engagement.
Pick the entry point that matches the problem.
Every capability below has its own page covering the situations it fits, the way the work runs and what tends to go wrong.
AI & Automation
Practical AI applied inside real workflows — with people still holding the decisions that matter.
Explore 02Software Engineering
Custom applications, APIs and platforms engineered for the way your organisation actually works.
Explore 03Cloud & DevOps
Infrastructure as code, automated delivery pipelines, and observability that tells you what is actually happening.
Explore 04SaaS & Product Engineering
Taking an idea from problem definition through design, build, launch and continuous improvement.
Explore 05Legacy Modernization
Incremental re-platforming that keeps the business running while the system underneath is replaced.
Explore 06API & System Integration
REST APIs, third-party integrations and data synchronisation, designed as one governed surface.
ExploreThree pairings we are asked for most often.
Almost no engagement uses a single capability. These are the combinations that arrive repeatedly, described in the order the work usually happens.
Modernisation paired with integration
The most common starting point. An old system cannot be replaced because nothing else can talk to it, so API enablement comes first and replacement follows while the business keeps trading.
- Legacy modernisation, scoped around the strangest dependency
- API and integration to open the boundary
SaaS product engineering paired with applied AI
A new product where the difference comes from intelligence. Product definition and multi-tenant architecture first, then automation and models placed inside the one workflow where they earn their cost.
- Multi-tenant SaaS foundations and billing
- Applied AI inside a defined workflow step
Cloud and DevOps paired with software engineering
Growth is what exposes a platform. Infrastructure moves first, delivery pipelines follow, and instrumentation lands in the same pass so the scaling decisions rest on measurement rather than instinct.
- Infrastructure as code and delivery pipelines
- Observability added while the change is fresh
Match the capability to a sector or a pattern.
The same capability behaves differently depending on the operating model around it. These pages show the difference.
Sector-specific versions
Where compliance, access and audit shape the design.
- Healthcare Consent, records and scheduling under audit.
- Retail Store operations, stock and omnichannel enquiries.
- Education Cohorts, academic years and campus operations.
- B2B Revenue operations and multi-tenant delivery.
Shapes we build repeatedly
Situation, approach and the risks worth knowing about.
- Solution patterns Six engineering shapes with the watchouts listed.
- Applied AI in production Where models help and where a rule is better.
- Integration work Connecting systems with no shared design.
Context for the decision
Background on the company and the way we work.
- About LivingTech Products and client work on one standard.
- Folow Our own platform, built to this standard.
- Insights Working notes on the decisions above.
- Contact Every enquiry is read by an engineer.
Tell us the symptom rather than the service name.
Most enquiries start with something breaking or something manual. Describe what is happening and we will tell you which capability is actually involved, including when the answer is none of them.