A legacy of innovation

Technology and Engineering Services

From legacy estate to modern platform, modernised while the business runs.

Trusted by the world’s leading enterprises.

Clients include: Allianz · Bank of America · Caterpillar · CHANEL · Citi · Dell · FedEx · Huawei · Hyundai · John Deere · Kellogg’s · Nissan · NIVEA · Philips · UNIQLO · Adobe · HSBC · L’Oreal · Nike · Siemens · Starbucks · Verizon · Walmart.

Application modernisation and platform engineering

Most estates were built for a business that has since changed. We modernise the platforms, the data foundation and the engineering practice around them while the business continues to operate.

Strategy sets the direction; engineering establishes it in the estate.

01

Modernize

Transform legacy applications, platforms and technology estates.

02

Build

Create new digital products, platforms and enterprise applications.

03

Connect

Connect systems, APIs, data and business capabilities.

04

Engineer

Apply modern software engineering practices to improve speed and quality.

05

Operate

Create resilient technology environments designed for continuous improvement.

Where our engineering work is applied

Modernize

Transform legacy applications, platforms and technology estates.

An engineer reading code reflected in their glasses

Build

Create new digital products, platforms and enterprise applications.

Connect

Connect systems, APIs, data and business capabilities.

An engineer working along a lit row of data centre racks

Engineer

Apply modern software engineering practices to improve speed and quality.

The ecosystem we build on

Modernisation without downtime

The systems that matter most are those that cannot be taken out of service. We modernise them in place, with the release discipline required to demonstrate that nothing has been disturbed.

  • Faster technology delivery
  • Modernized technology estates
  • Improved scalability

Technology and engineering services

Application Modernisation

Transform legacy applications without compromising critical operations.

Application modernisation

Legacy transformation

Re-platforming

What's included
  • Application modernisation
  • Legacy transformation
  • Re-platforming
  • Re-architecture
  • Cloud-native engineering
  • Application rationalization

Reference architecture

Modernisation fails when it copies the old enterprise onto new infrastructure. We engineer for continuous change, not just for cloud.

LAYER 01

Cloud and platform

Elastic, secure foundations engineered for scale, cost control and portability across environments.

LAYER 02

Data and integration

The pipelines, APIs and events that let systems, data and intelligence move as one.

LAYER 03

Software and services

Modular, composable services built around business capabilities instead of legacy boundaries.

LAYER 04

DevSecOps and MLOps

Automated delivery for both code and models, with security and quality engineered in from the first commit.

LAYER 05

Observability and reliability

The instrumentation, resilience and control that keep critical systems dependable under real load.

Capabilities
Elastic scale
Cost control
Portability
APIs
Event streams
Pipelines
Composable services
Microservices
Domain design
CI/CD
Automated testing
Model delivery
Instrumentation
Resilience
SRE practices

How we deliver

Understand

Business objectives, technology constraints and transformation priorities.

Architect

Define the right future-state technology foundations.

Build

Engineer products, platforms and systems.

Integrate

Connect the enterprise ecosystem.

Deploy

Move capabilities safely into production.

Optimise

Continuously improve performance, reliability and economics.

iFortis Worldwide® AI Native Enterprise Framework

From Enterprise Vision to Autonomous Operations.

STAGE 01Envision01020304050607080910

Stage 01 · Envision

Define business ambition and transformation outcomes.

Establish enterprise strategy, AI vision, value cases, governance objectives, and success metrics aligned with business priorities.

Outputs

  • Enterprise Vision
  • AI Strategy
  • Business Case
  • Transformation Roadmap

Business outcomes

  • Faster technology delivery
  • Modernized technology estates
  • Improved scalability
  • Higher engineering productivity
  • Reduced technical debt
  • Greater resilience
  • AI-ready foundations
  • Continuous innovation

Our engineering practice

Enterprises in every major market partner with iFortis Worldwide to transform with confidence. We bring the reach of a global leader and the depth of a specialist, engineering technology engineering that performs in production and scales worldwide.

01

Global reach

Programmes delivered across four continents and every major industry.

02

Deep expertise

Senior, multidisciplinary engineering teams with proven domain depth.

03

Accountable outcomes

Measured by the value realised in production, not by slides.

Frequently asked questions

Yes. Legacy modernisation proceeds in increments. We map dependencies and risk, then migrate application by application around live business services, with rollback available at every stage.

Both. Architecture and systems integration through to hands-on software engineering in production.

DevOps practice: CI/CD, test automation, observability and reliability engineering, measured on deployment frequency and change failure rate.

We build the platform engineering and data foundations AI depends on, so a model has something reliable to run against.

We build the estate around what the business needs to do next, rather than around decisions taken a decade ago.

iFortis Worldwide®

Case studies

How leading organisations transformed intelligence into measurable business outcomes.

Manufacturing 2026

Building an AI Native manufacturing enterprise

ERP records transactions rather than reasoning across changing conditions. iFortis Worldwide® engineered an Enterprise Intelligence Fabric above the existing estate, unifying planning, inventory, supplier commitments and capacity. Agents evaluate thousands of variables and escalate only high-impact decisions. Planners now govern intelligence rather than assemble schedules.

Industry
Manufacturing & industrial engineering
Capability used
AI strategy, Enterprise Intelligence Fabric, agentic AI, enterprise modernisation, managed operations
Challenge
Nine plants on fragmented ERP, spreadsheet planning, knowledge held by individual planners

Systems integrated

SAP S/4HANA · Siemens Opcenter · Microsoft Fabric · Azure AI · MES · WMS · IoT · Power BI

This wasn’t another manufacturing system implementation. iFortis changed how planning decisions are made. Our teams now supervise Enterprise Intelligence Fabric rather than manually coordinating production across facilities.
Richard NakamuraGroup Operations Director
Aircraft assembly line, the kind of multi-facility production this coordinated

40 %

Faster planning cycle

28 %

Inventory cost reduced

96 %

Recommendations accepted

Retail & Consumer Goods

Reinventing retail with an AI Native platform

37%reduction in inventory carrying costs

Faster fulfilment
29%
Forecast accuracy
23%
Channel visibility
95%

Systems integrated

SAP S/4HANA · Salesforce Commerce Cloud · Shopify Plus · Databricks · Kafka · Azure AI

Read the case study
Transport & Logistics

Building an AI Native logistics network

33%reduction in transportation costs

Faster shipment planning
42%
Warehouse productivity
27%
Shipment visibility
98%

Systems integrated

SAP TM · Oracle Transportation · Manhattan WMS · Azure Maps · Dynamics 365 · IoT Fleet

Read the case study
Telecom

Creating an AI Native telecommunications network

71%of incidents resolved autonomously

Faster resolution
58%
Less manual intervention
82%
Availability
44%

Systems integrated

Ericsson OSS · Nokia NMS · Splunk · ServiceNow · Kubernetes · Azure AI

Read the case study
Healthcare

Engineering an intelligent healthcare enterprise

45%operational improvement

Less admin workload
34%
Faster scheduling
38%
Patient satisfaction
94%

Systems integrated

Epic · Cerner · HL7/FHIR · ServiceNow · Microsoft Teams · Azure AI

Read the case study
Banking

Modernising financial services through AI Native operations

62%faster customer case resolution

First-contact resolution
74%
Less manual effort
68%
Compliance accuracy
96%

Systems integrated

Temenos · Salesforce FSC · NICE CXone · Azure OpenAI · ServiceNow · Entra ID

Read the case study
Energy & Utilities

Building an autonomous energy enterprise

faster fault-to-dispatch response

Fewer unplanned outages
35%
Lower maintenance cost
24%
Field productivity
41%

Systems integrated

SAP PM · IBM Maximo · SCADA · Azure IoT · ArcGIS · Microsoft Fabric

Read the case study
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