Case Studies
Engineering Work. Documented Accurately.
What follows are selected INX engineering engagements, documented without hyperbole. Outcomes are stated as measured operational results. Client names are withheld by standard agreement.
Engagements Documented
4 selected
Client Identification
Withheld by agreement
Metrics
Operational results only
Selected Engagements
Four Engagements. Documented in Full.
Each entry documents the operational context, engineering decisions, and measured outcomes of a completed INX engagement. No marketing language has been used to describe the results.
Platform Consolidation for a Multi-Location F&B Group
The Challenge
A regional food and beverage group operating 40+ locations ran three separate point-of-sale systems, a disconnected online ordering solution, and no unified view of inventory, staffing, or revenue across sites. Operational decisions depended on day-old spreadsheet data. As the group expanded, the lack of system coherence had become a direct constraint on growth - each new location required weeks of manual configuration and produced inconsistent data.
Engineering Approach
INX designed a unified platform around a central event-driven data layer, connecting POS integrations, kitchen display systems, inventory management, and a customer-facing ordering interface. The architecture was built around a multi-tenant model with location-level isolation, allowing each site to operate independently while feeding into a centralised operations dashboard. New location onboarding was designed as a configuration workflow, not an engineering task.
System Architecture
Event-driven backend with an append-only ledger for transaction integrity. Multi-tenant PostgreSQL schema with row-level security enforcing location isolation. Real-time inventory synchronisation via WebSocket connections to kitchen display systems. A React-based management dashboard with location switching and consolidated reporting. Stripe Connect for marketplace payment flows between the group entity and individual locations.
Technologies
Delivery Outcome
New location onboarding reduced from 3 weeks to 4 days. Single operational view across all locations established for the first time. Inventory reporting overhead reduced by approximately 60% through automated reconciliation. Platform has since supported 8 additional location openings without engineering intervention.
Performance and Architecture Remediation for a Compliance SaaS Platform
The Challenge
A B2B SaaS company providing compliance workflow tools to mid-market financial services firms had outgrown its original monolithic application. API response times under concurrent load regularly exceeded 1.8 seconds at the 95th percentile. Multi-tenancy was enforced by application-layer convention rather than database constraint, creating latent data isolation risk. Frontend technical debt had accumulated to the point where new feature delivery required 6-week release cycles - unacceptable for a compliance product operating in a rapidly shifting regulatory environment.
Engineering Approach
INX conducted a structured architecture review before proposing any changes. We identified three high-impact intervention points that could be addressed without a full rewrite: read/write path separation for high-traffic reporting queries, enforcement of tenant isolation at the database layer, and replacement of the legacy frontend rendering layer with a component-based architecture. The monolith remained operational throughout. Changes were shipped incrementally against a defined specification.
System Architecture
CQRS pattern applied to the reporting subsystem, separating read models from the transactional data store. Read replicas with query-optimised projections for dashboard and export workloads. Tenant isolation enforced via PostgreSQL row-level security policies - eliminating convention-based isolation. React component library built alongside the legacy interface and progressively replaced page-by-page. Redis caching layer introduced for session state and frequently-accessed reference data.
Technologies
Delivery Outcome
P95 API response time reduced from 1.8 seconds to 240 milliseconds. Release cycle reduced from a 6-week to a 2-week cadence following frontend restructure. Tenant data isolation enforced by database architecture - no longer dependent on application-layer discipline. Platform passed subsequent security audit without data isolation findings.
Document Intelligence Pipeline for a Professional Services Firm
The Challenge
A mid-sized professional services firm processed over 2,000 structured documents per week through a largely manual review workflow. Senior staff spent a significant portion of their time on document classification and initial data extraction tasks that did not require expert judgment - creating a throughput bottleneck that could not be resolved by headcount alone. The firm operated under regulatory requirements that mandated full auditability of all document processing decisions.
Engineering Approach
INX designed a document intelligence pipeline that separated the document processing work into three distinct stages: automated classification with confidence scoring, structured data extraction, and a human-in-the-loop review interface that surfaces only items below a confidence threshold or flagged for senior review. The system was designed to be fully auditable, with every automated decision logged with its model input, output, and confidence score. The human review interface was built to match the cognitive workflow of senior reviewers - not to replicate the visual design of the source documents.
System Architecture
Document ingestion service with format normalisation for PDF, Word, and structured data inputs. Classification model with deterministic confidence thresholds routing documents to automated or human queues. LLM-based extraction layer using structured output schemas with validation against a field registry. PostgreSQL-backed human review queue with assignment, escalation, and approval workflows. Immutable audit log with cryptographic chaining for regulatory compliance. Inference service deployed as a stateless containerised workload, scaling independently of the application tier.
Technologies
Delivery Outcome
Average document classification time reduced from 8 minutes (manual) to under 45 seconds. Senior reviewer daily throughput increased from approximately 40 to 110 documents per day by eliminating low-judgment classification work. Full audit trail maintained for every document processing decision. Regulatory audit conducted six months post-deployment - no compliance findings related to the automated pipeline.
Dispatch and Tracking Platform for a Last-Mile Logistics Operator
The Challenge
A regional logistics operator coordinating 200+ delivery drivers across multiple urban zones was running daily operations on a combination of WhatsApp group messages, manual spreadsheets, and a legacy dispatch system with no real-time driver location visibility. Route assignment was reactive and manual, leading to significant inefficiency in vehicle utilisation and a customer SLA compliance rate of 78% - well below contractual thresholds with key accounts. The legacy system vendor had ceased active development and the operator faced a transition deadline.
Engineering Approach
INX designed and delivered a dispatch and tracking platform in three parallel workstreams: a mobile application for drivers, an operations command centre for dispatch teams, and a customer-facing delivery tracking interface. The platform was built to run alongside the legacy system during a parallel operation phase before full cutover, eliminating the risk of a hard migration. Route optimisation logic was implemented as a constraint-based engine that considered delivery time windows, vehicle capacity, and zone density - not a black-box external service.
System Architecture
React Native driver application with offline-tolerant local state, syncing to the backend via WebSocket when connectivity is available. Real-time driver location broadcast via a geolocation service, aggregated in the dispatch dashboard with sub-5-second update latency. Constraint-based route optimisation engine implemented in Node.js, running as a background job triggered by new delivery assignments. Customer-facing tracking page with estimated arrival windows derived from real-time driver position and historical delivery patterns. SMS notification service for customer updates at dispatch, en-route, and delivery events.
Technologies
Delivery Outcome
Vehicle utilisation improved by 23% in the first 60 days of full operation. Customer SLA compliance rate improved from 78% to 94% within 90 days of cutover. Dispatch coordination time reduced by approximately 40%, allowing the same dispatch team to manage a 30% increase in daily volume. Legacy system decommissioned on schedule.
How We Build
Engineering Principles That Govern Every Engagement
These principles are not aspirational values. They are engineering constraints applied at the architecture, delivery, and handover stage of every INX engagement.
Systems Designed to Scale
INX does not engineer for the current workload. Every system we deliver is designed with growth as a constraint from the first architectural decision - not retrofitted when scaling becomes urgent. Multi-tenancy, event-driven data flows, and horizontal service boundaries are applied at the outset, not bolted on after the fact.
Maintainability as a Delivery Requirement
A system that cannot be maintained by the client's own team or a successor engineering team has not been fully delivered. INX treats code clarity, documentation of non-obvious decisions, and handover readiness as first-class engineering outputs - not afterthoughts. We do not leave proprietary complexity that creates dependency.
Performance Measured, Not Assumed
Performance characteristics are defined before engineering begins and verified before delivery is accepted. We instrument systems to produce observable outputs - latency percentiles, throughput under load, error rates - and treat these as acceptance criteria alongside functional requirements. Post-delivery performance degradation is a known risk we mitigate through architecture, not luck.
Technical Ownership Transferred
The conclusion of an INX engagement leaves the client in full operational control. Architecture decisions are documented. Runbooks are written. The codebase is structured for comprehension, not for complexity. We do not retain operational leverage over systems we build. A successful engagement means the client can operate, extend, and hand off the system without reference to INX.
Across Documented Engagements
Delivery Outcomes. Stated Without Adjustment.
Documented in Full
Case studies covering enterprise web, SaaS, AI systems, and logistics
Average Initial Delivery
Measured from engagement start to first production deployment
Security Audits Passed
Post-deployment security audits across all documented engagements
On-Schedule Cutover
Legacy system decommissioning completed on committed timelines
All metrics derived from the four documented engagements on this page. No aggregate figures have been constructed from undisclosed engagements. Client names remain withheld under standard confidentiality agreements.
How We Work
Engagement Philosophy
The operational model behind every INX engagement - how we communicate, how we own technical decisions, and how we define the boundary between our work and the client's.
Technical Ownership
INX treats each engagement as a transfer of capability, not a creation of dependency. Architecture decisions are made transparently and documented in terms the client team can reason about independently. We do not introduce abstractions that require ongoing INX involvement to maintain or extend. The system should be fully owned by the client at handover.
Defined Communication Standards
Communication cadence is agreed before engineering begins. Progress is reported against defined milestones, not loosely narrated. Blockers are surfaced immediately, not absorbed as delays. Scope changes are proposed in writing with engineering impact assessments before any work proceeds. We do not manage uncertainty through silence.
Delivery Against Specification
INX does not deliver systems that approximate the agreed specification. Acceptance criteria are defined during discovery and verified against the delivered system. Where deviations are unavoidable due to external constraints, they are documented and approved before deployment. A delivered system is one that meets its stated requirements, not one that has been shipped.
Engagement Boundaries
INX operates as a technical delivery partner, not a retained technology department. Engagements have defined scope, a discovery phase that produces a written specification, and a handover phase that produces operational documentation. We do not accept open-ended retainers without defined deliverables. Long-term relationships are built through repeated well-scoped engagements.
Work With INX
The Right Engagement Starts With a Precise Brief.
Every engagement in this document began with a structured discovery conversation - not a sales call. If you have a defined technical problem and need an engineering partner who operates with the same precision these case studies demonstrate, the next step is a direct conversation.
INX does not take on engagements without a discovery phase. Discovery produces a written specification before development begins. This is a billable engagement and is not waived.
Structured discovery phase
Written specification before development
Defined acceptance criteria
Full technical ownership at handover