Service
Product Design & Engineering
We design and build enterprise software that people actually use — from the first discovery workshop through architecture, delivery, migration and the support model that keeps it alive afterwards. Four of our own platforms came out of this practice.
What you might recognise
A system was delivered on time and is barely being used
Every change request takes a quarter and a business case
The people who built it have gone, and nobody can safely touch it
Off-the-shelf software would work, if you redesigned your organisation around it
Your best process knowledge is in one person's head and a spreadsheet
The challenge
Most enterprise software fails long before anyone writes code.
It fails in the requirements document that captured what people said they do rather than what they actually do. It fails in the architecture decision taken to suit a delivery deadline. It fails on the day the last contractor leaves and takes the only working mental model of the system with them.
We work the other way round. We start by walking the process with the people who do it, including the informal steps nobody documents. We design for the handover from the first week, not the last. And because we run our own products in production, we are unusually honest about what a codebase costs to own three years after go-live.
What we do
The work itself
Discovery and service design
Process walkthroughs with the people doing the work, user research, journey mapping and a prioritised view of where the time and money actually go.
Solution architecture
Data model, integration boundaries, security posture and hosting — with the trade-offs written down so a future team can see why each decision was taken.
Build and iteration
Short increments with working software at the end of each, reviewed by the people who will use it rather than demonstrated to a steering group.
Data migration
Mapping, cleansing, reconciliation and rehearsed cutovers. We refuse go-live dates that depend on unreconciled data, which is not always the popular position.
Security and quality engineering
Access rules enforced in the data layer rather than the interface, automated testing, and a review trail that stands up when somebody asks who changed what.
Support and handover
Runbooks, environment and pipeline handover, and a named transition so your team can own the system without a permanent dependency on us.
What changes
Software your team can own
What we design towards on every engagement.
Adoption designed in from discovery, not chased after go-live with training
Documented architecture and a handover your team can pick up without us
A data model that takes the next requirement without a rewrite
Access, change and approval history available when somebody asks
How we engage
Three ways to start
Pick the smallest one that answers your question. Every engagement is designed so you can stop, change direction or change supplier at the end of it.
Discovery sprint
A fixed-price, fixed-length assessment that ends in a decision you can act on — including the decision not to build.
- Process and data assessment
- Options with indicative costs
- Architecture direction
- A delivery plan with named risks
Build partnership
A blended team working in increments alongside your people, with knowledge transfer treated as a deliverable rather than a hope.
- Design, build, test and migrate
- Your developers embedded if you have them
- Fortnightly working software
- Exit plan agreed at the start
Product stewardship
For teams who have a system and need it kept healthy, secure and moving forward without hiring a permanent squad.
- Roadmap and backlog ownership
- Security patching and upgrades
- Enhancements in a predictable cadence
- Defined response commitments
Our approach
How the work runs
Every stage ends in a decision point. If the answer is that the work should stop, or continue with someone else, we will say so and hand over cleanly.
Walk the real process
We sit with the people doing the work. What we write down is what actually happens, including the workarounds — because those are the requirements nobody submits.
Frame the options honestly
Configure, buy, build or leave alone. Each with an indicative cost and the consequences of getting it wrong, so the choice is yours on real information.
Design the spine first
Data model, access rules and integration boundaries before features. These are the decisions that are expensive to reverse later.
Build in increments
Working software every fortnight, tested by real users. Course corrections happen while they are still cheap.
Migrate on rehearsed cutovers
Data mapped, migrated and reconciled, with the cutover practised end to end before anyone commits to a date.
Hand over properly
Runbook, architecture record, environments and pipeline transferred to your team, with a defined hypercare period and then a real exit.
Where it meets our products
Advice from people who ship the software
Most consultancies stop at the recommendation. Because we build and operate our own platforms, this service is informed by the migrations, go-live weekends and support calls we have had to handle ourselves.
Enluka EMR
The clearest example of this practice: seven role portals with the clinical and payment rules enforced in the database rather than the interface.
Explore Enluka EMREnluka LexSuite
An event-driven legal operations platform, designed around user intent rather than a copy of a competitor's menu structure.
Explore Enluka LexSuiteRelated services
What usually runs alongside
Digital Transformation
When the build is one part of a wider re-platforming and service redesign programme.
02Cloud, Data & AI
The platform the software runs on, and the data and intelligence layer on top of it.
03Change & Adoption
The work that decides whether the system you paid for becomes the system people use.
Bring us the process that is costing you most
Not a requirements document — the actual process, with its workarounds. That is the conversation that tells us both whether there is a product worth building.