01Enterprise Software
Systems that stay dependable after the launch.
We build the software organisations run on: operations platforms, internal products, customer portals and back-office systems that carry real transaction volume and real consequences when they fail.
01Where it starts
What we usually walk into.
Core business systems accumulate undocumented behaviour, brittle integrations and unclear ownership. Change becomes slow and risky, and the cost of every new requirement rises.
A legacy platform blocks every new business requirement and no one is confident enough to change it.
Delivery has slowed to the point where a small change takes weeks and a release takes days.
Business logic lives in three places — the database, the UI and a spreadsheet — and they disagree.
The system works, but nobody can explain how, and the people who could have left.
Availability, audit or data-residency requirements arrived after the architecture was set.
02Approach
How we do the work.
We start from the domain and the operational constraints, define an explicit architecture, and deliver in vertical slices that reach production early and stay releasable.
- 01
Domain before framework
We model the business the system serves — entities, states, invariants, who is allowed to do what — before choosing any technology. Most costly rewrites trace back to a domain model that was never made explicit.
- 02
Architecture as a written decision record
Every significant choice is documented with its context, alternatives and consequences. Your team inherits the reasoning, not just the code.
- 03
Vertical slices to production
We deliver thin end-to-end slices through the whole stack rather than horizontal layers. Real behaviour reaches a production-like environment in the first weeks, and integration risk surfaces while it is still cheap.
- 04
Operability designed in
Logging, tracing, metrics, health checks, migration strategy and rollback paths are part of the first slice, not a hardening phase bolted on before go-live.
Capabilities and deliverables
Capabilities
- Domain-driven design and event modelling
- Distributed system and service boundary design
- Relational and document data modelling
- Event-driven and message-based architecture
- API design: REST, gRPC and GraphQL
- Performance profiling and capacity planning
- Automated testing strategy across unit, contract and end-to-end levels
What you receive
- Domain and architecture documentation with recorded decisions
- Production-ready service and application code with automated test coverage
- Infrastructure definitions and reproducible deployment pipelines
- Data migration plan and executable migration tooling
- Observability: structured logs, traces, metrics and operational dashboards
- Runbooks, on-call notes and handover sessions for your engineers
Common use cases
- Operations and workflow platforms
- Internal tooling that replaces spreadsheet-driven processes
- Customer and partner portals with role-based access
- Back-office systems with audit and approval requirements
- Legacy system replacement under a strangler-fig migration
- High-throughput transactional services
Technologies typically involved
- Go
- Python
- TypeScript
- Angular
- PostgreSQL
- MongoDB
- Redis
- NATS
- RabbitMQ
- Elasticsearch
- Kubernetes
- Docker
- OpenTelemetry
03Engagement
How it runs.
- 01
Discovery
1–3 weeks
Structured sessions with business and technical stakeholders, review of the existing system, constraints and risks.
- 02
Architecture
2–4 weeks
Domain model, service boundaries, data design, security model, delivery plan and cost envelope.
- 03
Delivery
Ongoing
Iterative build in vertical slices with a demonstrable increment every two weeks and continuous deployment to a staging environment.
- 04
Transition
2–4 weeks
Documentation, runbooks, pairing and structured handover to your engineering team, or a maintenance agreement.
04Security
Security considerations.
These apply to this service specifically. They are engagement conditions, not aspirations, and we will put them in the contract.
- Threat model produced during architecture, not after delivery
- Authentication and authorisation modelled as part of the domain
- Secrets held in a managed store, never in configuration files or images
- Dependency and container scanning wired into the build pipeline
- Audit logging designed around what the business must be able to prove
05Outcomes
What changes afterwards.
A system your team can extend without fear, with the reliability, auditability and security characteristics the business actually requires.
- 01
Change becomes predictable: new requirements can be estimated and sequenced rather than feared
- 02
Production incidents are diagnosable because the system explains itself
- 03
The architecture supports the next three years of business requirements, not just the current backlog
- 04
Your own engineers can own the system after handover
06Questions
Asked before every engagement.
Yes. Most of our enterprise engagements are joint teams. We agree on ownership boundaries, code review standards and a shared definition of done at the start, and we deliberately transfer context throughout rather than at the end.
No, and we usually advise against it. We prefer incremental replacement: route a slice of traffic or a single business capability to the new system, prove it in production, then expand. The old system stays authoritative until the new one has earned the role.
You do. Code is delivered into your repositories, infrastructure into your accounts, from the first commit. There are no proprietary runtime components you would need to license from us.
We estimate the architecture phase precisely because its scope is known. Delivery is planned against a prioritised capability list with a cost envelope per increment, so scope decisions stay visible and reversible.
Frequently runs alongside
Ready to scopeenterprise software?
Bring the problem, the constraints and the deadline. We will tell you what is achievable, what it costs and what we would do first.