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Enterprise Engineering
Bespoke Enterprise Systems & Legacy Modernisation
When your operating model is your competitive advantage, configuring generic software around it usually costs more than building the thing you actually need. We build bespoke operational systems, modernise the ones that have become load-bearing liabilities, and integrate the estate so data stops being retyped between systems.
Ecosystem matrix
The stack we build on
Mainstream, well-supported technology chosen so your team can hire for it. We will justify any choice on this list, and we avoid exotic tools that create a dependency on us.
Java Spring Boot
Go
Python
Node.js
Apache Kafka
PostgreSQL
Playwright
Cypress
RabbitMQ
Elasticsearch
Debezium
OpenAPI
Deliverable blueprint
Enterprise architectural documentation, penetration testing clearance, zero technical debt.
Sub-services deep dive
5 specialist capabilities
Expand any capability for its core scope, architectural blueprint and typical delivery window.
Systems shaped around how your business genuinely runs, for the cases where the workflow is the differentiator and off-the-shelf configuration has become more expensive than building.
Core capabilities
- Operational process mapping and domain modelling
- Custom workflow, approval and exception-handling engines
- Role-based access with delegation and audit trails
- Reporting and forecasting built on a single data model
Architectural blueprint
Domain-driven service architecture β event-sourced audit trail β PostgreSQL system of record β reporting read models.
Delivery timeline
16β36 weeks
Custom operational platforms
Replacing critical systems without a big-bang cutover, using incremental strangulation so value ships continuously and rollback stays possible throughout.
Core capabilities
- Codebase and dependency risk assessment
- Strangler-fig migration with parallel-run verification
- Data migration with reconciliation and integrity proofs
- Test coverage established before behaviour is changed
Architectural blueprint
Facade over legacy system β capability-by-capability extraction β parallel run and reconciliation β progressive traffic cutover.
Delivery timeline
20β52 weeks
Strangler fig, incremental migration
An integration layer that makes heterogeneous systems behave like one estate, with the retry, idempotency and reconciliation logic that keeps data trustworthy.
Core capabilities
- Integration architecture with canonical data models
- Idempotent processing, retries and dead-letter handling
- Change data capture and near-real-time synchronisation
- Reconciliation reporting that surfaces divergence early
Architectural blueprint
Source connectors β canonical model transformation β event bus with outbox guarantees β target adapters with reconciliation.
Delivery timeline
8β18 weeks
Integration layer, webhooks, ETL
Backend systems built for sustained throughput β event streaming, high-write ingestion and the horizontal scaling characteristics to absorb peak load without a rewrite.
Core capabilities
- Event-streaming architecture on Kafka or managed equivalents
- High-throughput ingestion with backpressure handling
- Partitioning, sharding and read-replica strategies
- Load testing to multiples of projected peak
Architectural blueprint
Ingestion gateway β partitioned Kafka topics β stateless consumer pools with autoscaling β durable stores plus materialised read models.
Delivery timeline
12β24 weeks
Go, Java, Kafka, streaming data
The quality infrastructure that lets a team move quickly without breaking production: layered automated testing plus adversarial security review.
Core capabilities
- Test strategy across unit, integration and end-to-end layers
- Playwright or Cypress suites running in CI on every change
- Performance and load testing with regression budgets
- Penetration testing with prioritised remediation support
Architectural blueprint
Test pyramid in CI β ephemeral environment per branch β performance gate β scheduled penetration testing with tracked remediation.
Delivery timeline
6β14 weeks
Playwright, Cypress, penetration testing
How we engineer
A four-stage accelerated lifecycle
The same sequence on every engagement, whether it runs six weeks or two years. Each stage has an exit condition, so nobody discovers a disagreement in month four.
STAGE 01
Discover
We map the business outcome, constraints and existing estate before proposing anything. Discovery ends with a costed plan, not a sales deck.
1β3 weeks
STAGE 02
Architect
Rendering strategy, data model, integration contracts and the non-functional requirements are settled and documented as decision records.
2β4 weeks
STAGE 03
Execute
Fortnightly increments against a visible backlog, with working software demonstrated every cycle rather than status reported.
6β24 weeks
STAGE 04
Scale
Load testing, observability, runbooks and knowledge transfer β then either you take it in-house or we operate it under an SLA.
Ongoing
Featured case study
Multinational logistics group
Before → After
Eleven regional systems became one. We closed the month in two days instead of three weeks.
— Group CIO, Multinational logistics group
Month-end close — before
19 days
after
2 days
Systems consolidated — before
11
after
1
Manual data entry — before
31 hrs/wk
after
0 hrs
Order accuracy — before
91.4%
after
99.7%
Engagement tiers
Indicative pricing
Published because opaque pricing wastes everyone's time. Figures are in USD and indicative; a fixed quotation follows discovery.
Discovery & Architecture
$26,000
Fixed scope Β· 5 weeks
Process mapping, technical assessment and a costed architecture before committing to a build.
- Operational process mapping
- Legacy and integration assessment
- Target architecture and ADRs
- Build-versus-buy analysis
- Phased delivery plan with costs
System Build
$185,000
Most selected Β· 24 weeks
A production enterprise system delivered incrementally with full documentation.
- Everything in Discovery & Architecture
- Custom system build in phases
- Integration layer and data migration
- Automated test suite in CI
- Architecture documentation set
- Training and phased handover
Modernisation Programme
Custom
Multi-year programme
Estate-wide modernisation with a dedicated squad and formal governance.
- Everything in System Build
- Multi-system modernisation roadmap
- Dedicated cross-functional squad
- Penetration testing and clearance
- 99.99% availability engineering
- Executive steering committee
Answers
Frequently asked technical questions
Configure whenever the process is genuinely standard β payroll, accounting, generic CRM. Build when the workflow is your competitive advantage, or when configuration and licence costs have started exceeding what building would have cost. We run this comparison honestly in discovery, and we have told clients to buy.
Incrementally. A strangler-fig approach routes traffic capability by capability, running old and new in parallel with automated reconciliation until confidence is established. Big-bang cutovers are where enterprise migrations tend to fail catastrophically.
Common, and manageable. We reconstruct behaviour from the codebase, database schema and observed traffic, characterise it with tests, then use those tests as the specification. This adds discovery time and we scope it explicitly rather than discovering it mid-project.
Yes β architecture decision records, system and data flow diagrams, runbooks and API specifications, maintained in your repository alongside the code so they stay current rather than rotting in a wiki.
That is the design goal. We use mainstream technologies rather than exotic ones, pair with your engineers throughout, and treat the handover as a phase with training and documentation rather than an email with repository access.
Frequently paired with