A legacy of innovation

AI Native Enterprise Transformation

From AI ambition to production systems, engineered as one operating model.

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.

Enterprise AI strategy and delivery

01

Strategy

Define where AI matters, where it creates advantage and where investment should be concentrated.

02

Transformation

Redesign processes, operating models and capabilities around AI-enabled ways of working.

03

Engineering

Build and integrate the AI systems, platforms and applications required for production.

04

Adoption

Enable people, teams and business functions to work effectively with AI.

05

Governance

Create the controls required for secure, responsible and scalable enterprise AI.

Where enterprise AI is applied

Strategy

Define where AI matters, where it creates advantage and where investment should be concentrated.

Transformation

Redesign processes, operating models and capabilities around AI-enabled ways of working.

Engineering

Build and integrate the AI systems, platforms and applications required for production.

Adoption

Enable people, teams and business functions to work effectively with AI.

The ecosystem we build on

From AI use cases to production

The difficulty lies between a proof of concept and a production system the organisation is prepared to depend on. We manage that transition as a single accountable programme, with the return on investment agreed before the build begins.

  • Faster decision-making
  • Higher workforce productivity
  • Intelligent operations

AI transformation services

AI Strategy

Develop an enterprise AI vision, roadmap and investment strategy aligned to business priorities.

Enterprise AI strategy

AI opportunity assessment

AI portfolio prioritization

What's included
  • Enterprise AI strategy
  • AI opportunity assessment
  • AI portfolio prioritization
  • AI operating model
  • AI investment roadmap
  • AI maturity assessment

Reference architecture

AI-enabled bolts intelligence onto the enterprise you already have. AI Native rebuilds the enterprise so intelligence becomes the operating principle, not a feature.

LAYER 01

Strategy and operating model

Where AI creates durable advantage, how value is owned and funded, and how the organisation decides and governs at scale.

LAYER 02

Data and knowledge foundation

The AI-ready data, semantics and organizational knowledge that make models accurate, grounded and defensible.

LAYER 03

Models and intelligence

A deliberate mix of foundation, fine-tuned and specialist models, matched to each decision, latency and cost profile.

LAYER 04

Applications and agents

Intelligence embedded directly into the workflows, products and systems where the work actually happens.

LAYER 05

Governance and trust

The evaluation, controls and accountability that keep AI safe, compliant and continuously improving in production.

Capabilities
Value ownership
Funding model
Decision rights
AI-ready data
Semantics
Knowledge graph
Foundation models
Fine-tuning
Specialist models
Embedded AI
Agentic workflows
Product surfaces
Evaluation
Controls
Accountability

How we deliver

01

Discover

Identify high-value opportunities across the enterprise.

02

Prioritise

Evaluate value, feasibility, risk and strategic relevance.

03

Design

Define the future-state AI capability, operating model and experience.

04

Engineer

Build, integrate and deploy AI into production environments.

05

Adopt

Enable people, processes and business functions to use AI effectively.

06

Scale

Expand successful AI capabilities across the enterprise.

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 decision-making
  • Higher workforce productivity
  • Intelligent operations
  • Lower process friction
  • Accelerated innovation
  • New digital products and services
  • Improved customer experiences
  • Scalable AI adoption

Our AI transformation 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 AI transformation 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

With a focused opportunity assessment. We identify where AI creates measurable advantage, then build the foundations required to scale it.

Transformation. We redesign strategy, operating models, data, technology and governance so AI becomes part of how the enterprise works, not an isolated tool.

We prioritise high-value use cases, set guardrails early and industrialise for production, so proven pilots move into the enterprise.

Policy, model risk, security and lifecycle controls are built in, so enterprise AI scales responsibly.

We place AI within the decision itself rather than alongside 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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