A legacy of innovation

Experience and Digital Design

From fragmented journeys to one system, designed for the people who use it.

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.

Where our design work is applied

Set the ambition

Define the experience ambition across customers, employees and partners.

Design

Craft human-centred journeys, services and interfaces.

Personalisation

Personalisation, using data and AI to make each interaction relevant to the person in it.

Engineering

Build the digital products and platforms that deliver it.

Customer and employee experience design

Customers do not see the organisation chart, but they encounter it whenever a journey breaks at a departmental boundary. We design the experience as a single system.

01

Set the ambition

Define the experience ambition across customers, employees and partners.

02

Design

Craft human-centred journeys, services and interfaces.

03

Personalisation

Personalisation, using data and AI to make each interaction relevant to the person in it.

04

Engineering

Build the digital products and platforms that deliver it.

05

Measurement

Continuously improve experience against outcomes.

The ecosystem we build on

Experience designed as one system

Experience is an engineering problem as much as a design one. What is released has to hold up under real traffic, real content and real edge cases.

  • More relevant experiences
  • Higher engagement
  • Improved conversion

Experience and digital services

Experience Strategy

Set the direction for customer and employee experience.

CX strategy

EX strategy

Service design

What's included
  • CX strategy
  • EX strategy
  • Service design
  • Journey design
  • Experience vision

Reference architecture

Experiences break one channel at a time. We design them as a single system that senses, adapts and improves across every interaction.

LAYER 01

User research

Deep, evidence-based understanding of customer and employee behaviour, needs and intent.

LAYER 02

Experience vision

A connected vision for how every interaction should feel, perform and create value.

LAYER 03

Design system

Reusable patterns, content and interfaces that keep experiences consistent as they scale.

LAYER 04

Personalisation and intelligence

Data and models that adapt each experience to context and intent in real time.

LAYER 05

Delivery and optimisation

The engineering and measurement that ship, test and continuously improve the experience.

Capabilities
Behavioral research
Journey mapping
Voice of customer
Experience vision
Value model
Channel orchestration
Reusable patterns
Content
Accessibility
Real-time context
Adaptive content
Intent models
Engineering
Experimentation
Optimisation

How we deliver

Understand

Research needs, behaviours and context.

Design

Shape journeys, services and interfaces.

Build

Engineer digital products and platforms.

Personalise

Make experiences relevant with data and AI.

Measure

Track experience against business outcomes.

Improve

Continuously refine and evolve.

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

  • More relevant experiences
  • Higher engagement
  • Improved conversion
  • Stronger loyalty
  • Better employee productivity
  • Connected journeys
  • Faster digital delivery
  • Continuous improvement

Our experience design 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 experience and digital 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

Both, human-centred design plus the engineering required to deliver it in production.

By unifying data and using intelligence to personalise across every touchpoint.

Both, designed and delivered as one connected system.

Against business outcomes, engagement, conversion, productivity and loyalty.

We design the work once, for the customer and the employee who serve it.

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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