Enterprise & Large-Scale

Systems that run
mission-critical
operations - daily

These aren't MVPs or proofs of concept. They're the platforms that process payroll for 40,000 employees, route logistics for national supply chains, and manage claims for healthcare providers across multiple regions. What follows is what we actually built, what it cost to get right, and what happened after go-live.

Enterprise Platform Monitor - Production
All Systems Nominal
Daily Transactions
2.4M
+18% vs last week
Avg. Response
84ms
-12% vs last week
Error Rate
0.003%
-0.8% vs last week
Transaction Volume (30d)
7D 30D 90D
Active ModulesStatus
ERP Integration Layer AWS / eu-west-1 99.98% Live
Claims Processing Engine GCP / us-central1 99.97% Live
Supply Chain API Azure / uksouth 99.99% Live
HR & Payroll Platform AWS / eu-west-2 99.96% Deploying
Data Warehouse Pipeline Snowflake Cloud 99.94% Migrating
Integrations Active
SAP Salesforce Oracle Workday ServiceNow NetSuite Snowflake Kafka
Deployment Timeline
Discovery & Architecture Wk 1–2
Core Development Sprint Wk 3–10
Integration & UAT Wk 11–13
Staging Deployment Wk 14
Production Go-Live Wk 15
$180M+ Operational cost saved annually
2.4M Transactions processed daily
99.97% Average uptime SLA
18 Enterprise systems live
0 Missed go-live deadlines

Six enterprise systems.
Six organisations that depend on them daily.

Every project below is live in production. We've included the actual constraints, the decisions that weren't obvious at the time, and the numbers that came out the other end.

Discuss a Similar Project
Meridian Bank plc case study
Financial Services
Meridian Bank plc
Core Banking Middleware
Project Overview

Core Banking Integration Middleware

Meridian needed to connect a 22-year-old legacy banking core to modern digital channels - mobile banking, open banking APIs, and a new wealth management platform - without replacing the core system or disrupting live transaction processing. The integration layer had to guarantee message delivery, handle 30,000+ transactions per hour at peak, and maintain a full audit trail for FCA regulatory requirements.

Event-Driven Architecture Kafka Java Spring Boot Oracle DB OpenAPI 3.1 FCA Compliance
Outcomes
$4.2M Annual IT cost reduction
99.99% Transaction delivery rate
0hr Production downtime during migration
Discuss similar scope
ClarityMed Group case study
Healthcare
ClarityMed Group
Clinical Operations Platform
Project Overview

Multi-Region Clinical Operations Platform

ClarityMed operates across 14 hospitals and 60 GP practices across three UK regions. Their clinical and administrative teams were running on five separate, partially integrated systems. We built a unified platform that consolidated patient records, staff scheduling, bed management, and procurement - with NHS data standards compliance and role-based access control down to ward level.

React Node.js PostgreSQL HL7 FHIR R4 NHS Login AWS GovCloud
Outcomes
41% Reduction in administrative overhead
14 Hospitals on one platform
$2.1M Annual operational savings
Discuss similar scope
LogiSense Ltd case study
Logistics & Supply Chain
LogiSense Ltd
National Logistics Platform
Project Overview

Real-Time National Logistics Management Platform

LogiSense manages freight movement for over 120 retail clients across the UK. Their legacy system couldn't handle real-time GPS telemetry from 3,400 vehicles, route optimisation, or the carrier API integrations their clients were demanding. We rebuilt the core platform over 14 months, migrating 8 years of historical data without interrupting live operations.

Next.js Go TimescaleDB Kafka Google Maps Platform Kubernetes
Outcomes
31% Fleet efficiency improvement
3,400+ Vehicles tracked in real-time
18% Fuel cost reduction
Discuss similar scope
Vantage Group case study
Manufacturing
Vantage Group
Factory Operations ERP
Project Overview

Smart Factory ERP & Production Management System

Vantage operates 6 manufacturing facilities across Europe. Their ERP was a customised SAP implementation from 2009 that no longer fit their production workflow, with 14 custom modules that only two external consultants understood. We designed a phased migration to a modern system, preserving institutional data while eliminating the custom module debt.

SAP S/4HANA Migration React PostgreSQL MQTT IoT Docker Azure
Outcomes
62% Reduction in ERP-related IT tickets
6 Factories on single platform
$890K Annual licensing cost saving
Discuss similar scope
VeritasCover case study
Insurance
VeritasCover
Claims Processing Engine
Project Overview

Automated Claims Processing & Fraud Detection Engine

VeritasCover was processing commercial insurance claims manually - an average of 11 days per claim. We built an automated processing engine with ML-assisted fraud detection, straight-through processing for low-complexity claims, and a human review queue for edge cases. First-pass straight-through processing now handles 68% of all incoming claims automatically.

Python FastAPI PostgreSQL XGBoost Kafka AWS SageMaker
Outcomes
11d → 2.1d Average claim resolution time
68% Claims processed automatically
$3.4M Annual fraud detection savings
Discuss similar scope
NovaTrade case study
Retail & E-Commerce
NovaTrade
Omnichannel Commerce Platform
Project Overview

Unified Omnichannel Commerce & Inventory Platform

NovaTrade was running separate systems for online, in-store, and wholesale channels - with no single view of inventory, customer, or order. We built a unified commerce platform that synchronised inventory across 280 store locations and 4 warehouse facilities in real-time, enabling accurate fulfilment promises and significantly reducing overstock write-offs.

React Node.js Elasticsearch Redis PostgreSQL Shopify API
Outcomes
280 Store locations unified
94% Inventory accuracy (was 71%)
$6.8M Overstock reduction year 1
Discuss similar scope

What makes large projects land - and what makes them fail

After 18 enterprise deployments, the failure modes are consistent and entirely avoidable. Here's how we build to avoid all of them.

01
Principle

Discovery-First, Always

We don't write a line of code until we understand the system you're replacing, the data that has to migrate, the integrations that must keep running, and the people who will use this every day.

System AuditData MappingStakeholder WorkshopsWritten Spec

Every enterprise engagement starts with a two-to-three week discovery phase - stakeholder workshops, existing system audit, data model review, and a written technical specification that both parties sign off before any development begins.

02
Principle

Phased Delivery - No Big Bang

The single most reliable way to fail a large project is to build everything and deploy it at once. We break every enterprise system into deployable phases with defined rollback points at each stage.

Phase GatesRollback PointsParallel RunningIncremental Migration

Phase planning accounts for data migration complexity, integration dependencies, and user adoption risk. Each phase delivers measurable value independently - so if something needs to change mid-project, we have a working system to change, not a half-built one.

03
Principle

Legacy System Respect

The systems we're replacing almost always contain 15 years of institutional knowledge in the form of edge cases, workarounds, and business rules that aren't documented anywhere. We spend time understanding them rather than assuming the new system can start fresh.

Parallel RunningEdge Case MappingBusiness Rule ExtractionData Reconciliation

Before decommissioning any legacy system we run a parallel operation period - both systems processing live data simultaneously - to catch behavioural discrepancies before they become production incidents.

04
Principle

Integration Architecture Designed Upfront

The integration layer is the hardest part of most enterprise systems and the part most commonly treated as an afterthought. We design the full integration topology - message schemas, error handling, retry strategies, dead letter queues - before development begins.

Event-Driven DesignSchema RegistryCircuit BreakersAbstraction Layers

Every integration is wrapped in an abstraction layer so vendor changes (a new version of SAP, a Salesforce migration) can be absorbed at the integration layer without rippling through the application codebase.

05
Principle

Change Management Embedded

Technical delivery is only half of an enterprise project. Systems that aren't adopted don't deliver their ROI regardless of how well they're built. We include change management planning, training material development, and user acceptance testing coordination in every enterprise engagement scope.

UAT PlanningTraining DocsUser ChampionsAdoption Metrics

We work with your internal champions to design the UAT process, structure the training programme, and plan the communication rollout - because the people using the system every day are the ones who determine whether it succeeds.

Where our enterprise work runs today

Financial Services

Core banking, payment infrastructure, regulatory compliance systems, and wealth management platforms.

6 projects completed

Healthcare & Life Sciences

Clinical platforms, hospital management systems, patient data infrastructure, and NHS-compliant integrations.

4 projects completed

Logistics & Supply Chain

Fleet management, warehouse systems, carrier integrations, and demand forecasting platforms.

3 projects completed

Retail & E-Commerce

Omnichannel platforms, inventory management, order management systems, and loyalty infrastructure.

3 projects completed

Manufacturing

ERP systems, production management, IoT integration, and quality control platforms.

2 projects completed

Insurance

Claims processing automation, underwriting platforms, policy management, and fraud detection systems.

2 projects completed

Public Sector & GovTech

Citizen service platforms, data sharing infrastructure, and regulatory reporting systems.

2 projects completed

Education & EdTech

Student information systems, learning management platforms, and institutional data infrastructure.

2 projects completed

What organisations ask before starting an enterprise project

Honest answers on timelines, costs, legacy migration, and what actually determines whether a large project succeeds.

Ask us directly →
It depends heavily on the complexity of the legacy system being replaced or integrated, the number of third-party systems involved, and how well-defined the requirements are at the start. The six projects on this page ranged from 11 months to 26 months of active development. Our discovery phase produces a timeline estimate with realistic confidence intervals - not an optimistic number designed to win the engagement. We'd rather tell you it's 18 months accurately than promise 12 months and miss it.
Data migration is almost always more complex than it appears initially. Legacy systems accumulate 15 to 20 years of data quality debt - inconsistent formats, duplicate records, orphaned relationships, and business rules encoded in stored procedures that nobody documented. Our approach: extract and profile the full dataset before migration planning begins, build a data cleaning pipeline, run reconciliation checks after every migration batch, and operate both systems in parallel until we have statistical confidence in data integrity. We've never had a rollback triggered by data migration issues.
Yes, and we frequently do. The most common model is Sequere providing senior engineering and architecture leadership while the client's internal team contributes domain knowledge and handles specific tracks. We also work in a full-ownership model where we deliver the complete system and hand it over, or in a long-term partnership model where we continue to own engineering after launch. The engagement structure is defined in the discovery phase based on your team's capacity and capability.
Enterprise projects at the scale shown on this page typically range from $400,000 to $2.5 million depending on complexity, duration, and integration scope. That range is wide because enterprise complexity varies enormously - a greenfield internal platform is a different proposition from migrating a 20-year-old banking core while keeping live transaction processing running. We provide a fixed-price scope document after the discovery phase. That number doesn't change unless the scope changes, and scope changes go through a formal change control process with documented cost and timeline impact.
Compliance requirements are design constraints, not afterthoughts. For financial services projects we design for FCA requirements from the architecture phase - audit trails, data residency, access controls, and reporting capabilities are specified before development begins. For healthcare projects we work to NHS Digital standards and HL7 FHIR R4. For projects with GDPR implications we include a Data Protection Impact Assessment as a project deliverable. We've had multiple clients go through regulatory audits of systems we built - none have received findings related to the technical implementation.
We offer two post-delivery models. The first is a clean handover - comprehensive documentation, runbooks, architecture decision records, knowledge transfer sessions, and 90 days of hypercare support while your team takes full ownership. The second is an ongoing partnership retainer where we continue to provide engineering resource for new features, platform evolution, and incident support. Roughly half of our enterprise clients choose the retainer model. The handover model is designed so you genuinely don't need us - the documentation is written for the team maintaining it, not for the team that built it.
The main risk mitigation mechanisms we use are: discovery-first (problems found in week two are significantly cheaper than problems found in week twelve), phased delivery with defined rollback points, parallel running periods during cutover, contractual change control to prevent scope creep from destabilising timelines, and weekly steering committee reviews with the client so nothing is a surprise. We also require a named decision-maker on the client side with authority to approve specification changes - lack of a single decision-maker is the most common cause of enterprise project overruns we've observed.

Let's talk through your enterprise challenge - no pitch deck, no vague promises

Book a 60-minute call with one of our enterprise project leads. We'll look at your current system, the outcomes you need, and the constraints you're working within - and tell you honestly what a realistic scope looks like before you commit to anything.

Book a Discovery Call
NDA signed before discovery
Fixed-price scoping available
Response within 24 hours