A legacy of innovation

Enterprise Transformation Consulting

From the first decision to the running system, designed and built by one partner.

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.

Our impact

By the numbers

Twenty-one years of engineering practice, applied to enterprise transformation across four continents. The figures below cover the work delivered to date.

0

Transformation engagements delivered

Enterprise programmes taken from the first decision through to a system running in production.

0

Enterprise AI specialists

Strategists, architects and engineers who stay with the work through the build and into operation.

0

Global markets served

Delivery across four continents, with teams operating in the markets our clients run in.

0

Intelligent agents developed

AI agents built and deployed into enterprise workflows, each operating inside defined authority limits.

0

Transformation hours delivered

Advisory and engineering hours invested in enterprise transformation work to date.

0

Average engineering experience

The average experience of the engineers who design and build the systems we hand over.

0

AI Native solutions built

Solutions designed as AI Native from the outset rather than retrofitted onto existing systems.

0

Enterprise integrations delivered

Connections built between the platforms, data sources and applications an enterprise already runs.

24×7

Global delivery operations

Delivery and support running continuously across time zones, not handed between regions.

Enterprise transformation consulting

Transformation is a redesign of how the business creates value. It is complete when the redesigned model is operating, not when it is approved.

Strategy and advisory

Define where transformation creates value and build the roadmap to reach it.

Enterprise and AI strategy

Operating model design

Business case and prioritization

Consulting services

AI & ENTERPRISE TRANSFORMATION

Build an enterprise for the AI era.

Where AI earns its place in the business case, how the operating model has to change to support it, and what it takes to move a pilot into production.

  • AI strategy
  • Operating models
  • Generative & agentic AI
  • AI governance
  • Enterprise adoption
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ENTERPRISE INTELLIGENCE

Turn enterprise data into decisions.

The data platform, the shared definitions and the models underneath a decision, so the answer is the same whichever team asks the question.

  • Data & analytics
  • Decision intelligence
  • Knowledge systems
  • AI-ready data
  • Predictive intelligence
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TECHNOLOGY & ENGINEERING

Engineer technology around business outcomes.

Legacy modernisation, platform engineering and the integration work between them, on systems that cannot be taken offline while you do it.

  • Modernisation
  • Cloud
  • Software
  • Platform
  • APIs
  • DevSecOps & MLOps
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AGENTIC ENTERPRISE

Redesign work around people and intelligent agents.

Agentic AI applied to established processes, with defined decision rights, escalation paths and accountability for the actions an agent takes.

  • Agentic strategy
  • Digital workers
  • Workflow intelligence
  • Human-agent teaming
  • Orchestration
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EXPERIENCE & DIGITAL

Design experiences around how people work.

Customer and employee experience designed as one system, so a journey does not break at the point where two departments meet.

  • Experience strategy
  • CX & EX
  • Digital product
  • Personalisation
  • Service design
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CYBERSECURITY & RESILIENCE

Engineer resilience into the enterprise.

Identity, threat detection and continuity engineered into the estate, not bolted on after an audit finds the gap.

  • Cyber strategy
  • AI security
  • Identity
  • Risk & compliance
  • Cyber resilience
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Where our consulting is applied

Strategy

Enterprise, AI and technology strategy that establishes where transformation is justified.

Consultants and an enterprise team working through a decision

Intelligence

The data platform, analytics and decision intelligence underneath the answer.

Design

Experience, service and product design for the people who have to use it.

Engineering

Software, AI and cloud engineering that puts the decision into production.

The ecosystem we build on.

Powered by the world’s leading enterprise technologies.

All-in-One Enterprise Transformation Programme

Most transformation programmes replace the technology and leave the enterprise intact. We redesign the enterprise itself, so change becomes a permanent capability rather than a one-time event.

LAYER 01

Strategy and operating model

Who owns the outcome, who funds it, and who can stop it.

LAYER 02

Intelligence and data

Data a model can reason over, and definitions everyone agrees on.

LAYER 03

Technology and engineering

Platforms and integration that hold up when volume triples.

LAYER 04

Agentic operations

People and intelligent agents running the enterprise, under control.

LAYER 05

Experience and adoption

Connected experiences and the change that makes it stick.

LAYER 06

Governance and trust

Security that survives an incident, and a name against every control.

Capabilities
Operating model
Value & funding
Governance design
Data foundation
Knowledge & models
Decision intelligence
Platforms
Software engineering
Integration
Agent orchestration
Human oversight
Control by design
Customer & employee XP
Change enablement
Adoption
Security
Resilience
Accountability

How we work

AI Native by design

AI is considered from the beginning, not added at the end.

Outcome-led

Transformation is anchored to measurable enterprise outcomes.

Engineering-led

Ideas become valuable when they work in production.

Enterprise-connected

The enterprise behaves as one system, not five that meet at a handover.

Built for continuous change

The enterprise improves without waiting for the next programme.

Business outcomes

01

Growth

Identify and develop new revenue in existing markets and adjacent ones.

Focus areas
  • Revenue acceleration
  • Digital commerce
  • New business models
  • AI-enabled growth
02

Productivity

Take cost and delay out of the work itself, not out of the headcount.

Focus areas
  • Automation
  • Agentic workflows
  • Process transformation
  • Digital workforce
03

Customer value

Make every interaction know what the last one already established.

Focus areas
  • Experience transformation
  • Personalisation
  • Customer intelligence
  • Digital platforms
04

Technology value

Modernize technology estates while creating foundations for continuous innovation.

Focus areas
  • Cloud
  • Modernisation
  • Engineering
  • Platform transformation
  • AI infrastructure
05

Risk & resilience

Raise the security floor without slowing the release cadence.

Focus areas
  • Cybersecurity
  • Risk
  • Compliance
  • Resilience
  • Responsible AI
06

Workforce transformation

Prepare people and organisations for a world of humans working with intelligent systems.

Focus areas
  • Skills
  • Operating models
  • Change management
  • AI workforce
  • Org transformation

How we deliver

Recommendations do not produce results on their own. Our teams remain with the work through build, release and the first quarter of operation, the period in which most transformation programmes fail.

  1. 01Strategy
    • Enterprise Strategy
    • AI Strategy
    • Technology Strategy
    • Growth Strategy
    • Operating Model
  2. 02Intelligence
    • Enterprise Intelligence
    • Data & Analytics
    • Decision Intelligence
    • AI Discovery
    • Business Intelligence
  3. 03Design
    • Experience Design
    • Service Design
    • Product Design
    • Operating Model Design
    • Future-State Design
  4. 04Engineering
    • Software Engineering
    • AI Engineering
    • Cloud Engineering
    • Platform Engineering
    • Data Engineering
  5. 05Transformation
    • Programme Leadership
    • Change & Adoption
    • Modernisation
    • Implementation
    • Scale
  6. 06Continuous Value
    • Optimisation
    • Automation
    • Intelligence
    • Performance
    • Continuous Transformation

iFortis Worldwide® AI Native Enterprise Framework

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

Platform-independent by design

Few enterprises operate within a single technology ecosystem. iFortis Worldwide works across cloud, data, AI, application, security and infrastructure platforms, and holds no commercial preference between them.

AI & DataCloud & InfrastructureEnterprise PlatformsSoftware & EngineeringCybersecurityAutomation & Agentic AIDigital ExperienceAnalytics & Intelligence

Our work is measured by what the technology produces in the business, not by the technology selected.

Why enterprises choose iFortis Worldwide®

Every large firm now has an AI practice. The question a board should ask is not whether a partner uses AI, but whether their business model would survive without it.

AI Native, not AI enabled. We redesign the enterprise around intelligence from the start, not bolted onto legacy technology.

You buy the result. Intelligent systems execute and improve under service levels, so cost per outcome falls as quality rises.

Not a one time project. Every platform, workflow and agent keeps learning from your data, so value compounds after go live.

Strategy meets engineering

Business ambition is translated directly into technology and execution.

AI meets enterprise

AI sits inside the workflow, not beside it in a pilot.

Technology meets transformation

Engineering capability is connected directly to business priorities.

Challenges we solve

Moving AI from experiment to enterprise value

AI creates value when it becomes embedded in the enterprise, not when it sits in isolated pilots. The challenge is moving from experimentation to production, safely and at scale.

ENTERPRISE REQUEST

Take a proven AI pilot from experiment to production.

Reasoning with context…
APPROACHpilot → production
APPROACH PLAYBOOK
  • Prioritise high-value use cases
  • Set guardrails and evaluation
  • Industrialise and integrate
  • Scale with governance

Workflows we transform

Rework the division of labour between people and machines, and write down who decides what.

Open new ground in critical workflows

Redesign complex, regulated workflows to deliver new business outcomes while preserving controls and business continuity.

Gain agility without losing control

Enable AI agents to act within approved boundaries by building policy, authority limits, human oversight and traceable evidence into workflow execution.

Keep value on track in production

Connect workflow performance, business outcomes and operational insight so teams can identify what is improving and continuously adapt.

From workflow redesign to accountable operations

Redesign how decisions, behaviours and handoffs work, defining what agents can do, what people stay accountable for, and where approval or escalation is required before automation scales.

  • Map how work actually happens
  • Design the human-agent operating model
  • Prepare people with the roles and skills

Connect agents, systems, data and human approvals into a workflow that operates in the real world, closing readiness gaps before it scales.

  • Embed policy and authority limits
  • Human oversight and audit evidence
  • Orchestrate across systems and teams

Turn transformation from promise into evidence, measuring whether experience, adoption, productivity, trust and business outcomes actually improve in live workflows.

  • Connect telemetry and value signals
  • Validate outcomes in a closed loop
  • Improve before scaling what works

Operate with visibility across agents, people, services and systems, adapting controls and continuously improving as conditions change.

  • Govern exceptions and controls
  • Reuse proven workflow patterns
  • Scale without rebuilding accountability

Frequently asked questions

iFortis Worldwide provides technology consulting that extends beyond advice. Strategy, engineering and execution are carried by a single partner, from the initial assessment through to the system in operation.

Both. Digital transformation consulting here means the transformation roadmap and operating model design, the build and integration, then operation in production. Engagements are shaped around the outcome you need, not a fixed template.

No. Many organisations begin with a focused opportunity assessment. We help identify where AI and transformation create measurable advantage, then establish the foundations required to scale what works.

Control is built in by design. We embed policy, authority limits, human oversight and audit evidence into execution, so agents act within approved boundaries with transparency and accountability.

We work across every major industry and stay independent by design, integrating the cloud, data, AI, applications and platforms best suited to the objective rather than a single stack.

We connect operational telemetry, workflow evidence and value signals in a closed loop, so leaders can see what is improving, validate outcomes and adapt before scaling.

Reach out to learn how iFortis Worldwide® can transform your enterprise.

iFortis Worldwide®

Case studies

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

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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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