The Economics of Software are Changing
AI is reducing the cost and risk of building and maintaining software.
The implications go beyond developer productivity. It opens the door to a different generation of software, built around how businesses actually work.
What becomes possible when the constraints change?
Most organisations have learned to live with problems that technology has never quite solved.
Processes that take too long. Ideas that have never been viable. Work that still depends on spreadsheets, manual effort and compromise.
A generational shift in technology is creating a new set of possibilities. As the constraints around software change, it expands how business problems can be solved and where value can be created.
Find it. Prove it.
Build it. Scale it.
A disciplined path from a valuable problem to software running securely, reliably and impactfully inside the enterprise.
01
Discover
Find valuable problems worth solving. Understand users, economics and where purpose-built software creates an advantage.
02
Prove
Prototype quickly. Put something real in people's hands. Test whether the idea deserves further investment.
03
Build
Take proven ideas into production, building on strong foundations with thoughtful experience design and AI-enabled engineering.
04
Scale
Integrate it into the enterprise. Secure it, observe it, govern it and continue evolving it.
A different way to engineer software.
AI has disrupted software engineering more than almost any other field.
The most capable models can already perform substantial engineering work. The opportunity is not simply to generate code faster, but to redesign how software engineering works around that capability.
At Vivanti, our engineers work with agents throughout the software lifecycle, combining engineering judgement, enterprise context and increasingly capable AI.
Talented Technologists
Great engineering starts with great technologists, setting direction, making architectural decisions and defining what good looks like.
AI-Native Engineering
Evolve the engineering process around what AI makes possible, enabling talented technologists to deliver at a scale and pace that wasn't previously viable.
Understand the Organisation
Bring together business, architecture and organisational knowledge to make better engineering decisions and build software that works for the people who use it.
Continuous Investment
Frontier tooling, weekly Academy training, certifications and hands-on experimentation keep our engineers at the edge of what is possible.
Vivanti was founded on the belief that Talented Technologists Matter.
In an AI-native world, this belief holds true. Now more than ever.
Practicing What We Preach.
Vivanti Labs is our internal product pipeline, taking ideas from concept through to operational software.
Ideas are explored quickly, published to real users and progressively developed. Those that prove their value become supported products embedded into how Vivanti operates.
A selection of products built through Vivanti Labs and used across the business.
The home for learning and reusable IP.
A knowledge portal that brings together practical guidance, training and reusable collateral so consultants can find, contribute and build on what Vivanti knows.