New software · features in prod · AI-accelerated delivery
We partner with product and operations leaders on greenfield internal products and on net-new capability inside live systems — with AI compressing spec-to-ship time while humans stay accountable for quality and risk.
Why delivery feels stuck
The bottleneck is rarely “we don’t know what to build” — it is capacity to turn intent into merged, tested software on new stacks and on the platforms you already run. We focus on shippable slices: new internal products where it makes sense, and concrete features in existing software everywhere else — accelerated with AI so results land in weeks, not quarters.
How we help you move:
Greenfield internal apps, services, and portals — scoped so you get working software in the calendar time your business can afford, not an endless programme.
Extend CRMs, line-of-business tools, and SaaS with the workflows, screens, and integrations users keep asking for — shipped on top of live software, not parallel science projects.
We use AI across spec, build, test, and integration work — always human-led — so the same scope lands in a fraction of the time versus a traditional-only engineering cycle.
Fewer manual steps, shorter cycle times, fewer defects — we tie milestones to what your operators and dashboards actually see after each release.
Hypothetical — not a case study
Picture a team where a handful of repeatable steps — copying rows between tools, chasing approvals by email, reconciling two exports — adds up to even twenty minutes per person per day. Across twenty people, that is on the order of one hundred and sixty hours a month tied up in steps that better tooling or targeted features could absorb instead. None of that requires a big-bang rewrite: often it is a focused feature, a bridge between systems, or a workflow your people already wish existed.
We are not claiming these figures for your organisation — they are a simple thought experiment to size the opportunity before you commit to build. On a call we can sanity-check numbers against how you actually work today.
Services at a glance
Secure, reviewable delivery — whether you need a new internal product or meaningful changes inside Microsoft 365, Google Workspace, CRMs, warehouses, or a stack that grew organically over years.
From first internal product to the next major module — we design and build software around your real constraints: roles, approvals, audit, and how teams actually work. Low-code and modern stacks where they fit; custom where they don’t.
Ship net-new capability inside platforms you already pay for — new flows, APIs, admin surfaces, and automations on top of live systems so you extend instead of replace.
AI assists drafting, scaffolding, tests, and integration glue while engineers review, harden, and own quality. That is how we routinely compress delivery toward up to 10× faster results versus traditional-only cycles for comparable scope.
Wire CRMs, finance, warehouses, and spreadsheets into one coherent layer — then hand over patterns and coaching so your team can keep shipping without every change waiting on a vendor.
Our impact
Illustrative planning figures — not reported client outcomes for this service. Your calendar and savings depend on scope, stack, and adoption. We baseline with you before we build.
Up to 10×
illustrative calendar-time compression for comparable scope when AI-accelerated delivery is paired with tight scope — not a guarantee on every engagement
80%
illustrative share of repetitive work some teams aim to remove once the right workflows are automated — your baseline will differ
2 weeks
a realistic planning horizon for a very narrow first slice once access and sign-off are in place — not a promise for every stack
Pricing
Orientation bands for new software and feature work — including AI-accelerated delivery — final quotes depend on stack, governance, and how much we parallelise. Low-code and AI platform licences are usually billed separately; we surface those during discovery.
Focused pilot
Ship something real on a bounded problem so stakeholders feel the upside early.
£5k–£15k
typically a single statement of work
Roughly four to six weeks · shorter when the slice stays small
Useful when you want evidence before betting a bigger programme.
Several lanes at once
Join up more of the messy middle — fewer swivel-chair hops between tools and spreadsheets.
£15k–£50k
milestone SoW or rolling monthly capacity after discovery
Around six to twelve weeks for the core wave · each lane can land on its own cadence
Best when you already believe in the approach and want compounding operational leverage.
Organisation-wide arc
For heavier integration, policy constraints, and roadmaps that stretch beyond a single quarter.
£50k–£250k+
usually phased billing · milestones plus optional ongoing capacity
From a few months upward — capability arrives in waves rather than one cliff-edge release
Built for teams treating internal tooling as infrastructure — not a one-off project.
Questions on scope or commercials? Get in touch.
Why VIV-Z?
Whether we are standing up new software or extending a live system, we sequence risk: thin vertical slices, feature flags where needed, and rollback paths so production stays trustworthy.
Accelerated coding and checks are only useful with senior review, security thinking, and acceptance criteria you can sign — we never treat generated output as production-ready by default.
We translate “what the business needs” into backlog-sized features, APIs, and UIs — so roadmaps shrink from quarters of analysis to weeks of shipped increments.
Documentation, patterns, and enablement mean your next feature is not another vendor dependency — your team can iterate while we stay available for heavier lifts.
We do not have public case studies for this line of work yet — below are the kinds of results organisations typically hope automation and better software will unlock. Your mileage will depend on process, data, and adoption.
Imagine ten people losing thirty minutes a day to re-keying between systems — that is roughly one hundred staff-hours a month you could redirect if those steps were automated or built into the software they already use.
Approvals, status checks, and “who has the latest spreadsheet?” quietly add up. Even modest process automation or a small feature in an existing app can return whole days per week to core work.
When data flows through one place instead of inboxes and side files, reporting stops being a reconstruction project — the value is fewer errors and faster decisions, not vanity dashboards.
Whether you are kicking off new internal software or clearing a backlog of features in systems you already rely on, we combine AI-accelerated delivery with senior ownership — so your team sees working software, not another strategy deck.
Two easy next steps