A legacy of innovation

Agentic Enterprise and AI Agents

From fixed process to governed autonomy, with accountability written into the workflow.

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.

Agentic AI for enterprise operations

An agent can read a case, decide within defined limits and act across several systems without a handover. Processes designed around human handovers no longer describe the work accurately.

We design the operating model accordingly, defining what the agent decides, what it escalates and who is accountable for the outcome.

01

Understand

Map processes, decisions, systems and human responsibilities.

02

Identify

Find workflows where intelligent agents can create measurable value.

03

Design

Define agent roles, responsibilities, permissions and interactions.

04

Engineer

Build and integrate agents into enterprise environments.

05

Govern

Create controls around identity, access, decisions, data and actions.

06

Scale

Extend successful agentic patterns across functions and workflows.

Where agentic AI is applied

Understand

Map processes, decisions, systems and human responsibilities.

Identify

Find workflows where intelligent agents can create measurable value.

Design

Define agent roles, responsibilities, permissions and interactions.

Fibre-optic strands carrying signal in parallel

Engineer

Build and integrate agents into enterprise environments.

The ecosystem we build on

Governed autonomy, with human oversight

An agent is useful only when the organisation is able to let it act. We design the workflow with policy, escalation and audit already established, so autonomy can widen without a corresponding gap in accountability.

  • Customer operations
  • Sales & revenue
  • Finance

Agentic AI services

Agentic Strategy

Define how intelligent agents can become part of the enterprise operating model.

Agentic enterprise strategy

Opportunity assessment

Agent portfolio

What's included
  • Agentic enterprise strategy
  • Opportunity assessment
  • Agent portfolio
  • Operating model
  • Governance strategy

Reference architecture

Automation executes the process you already have. Agency lets the enterprise decide how the work should run, then does it, under control.

LAYER 01

Orchestration

Coordination of agents, tasks and people across systems, with clear ownership of every outcome.

LAYER 02

Reasoning and planning

Models that interpret goals, decompose work into steps and adapt as context changes.

LAYER 03

Tools and integration

Governed access to the systems, data and actions agents need to do real, consequential work.

LAYER 04

Memory and knowledge

Persistent context and organizational knowledge that make agents reliable rather than merely reactive.

LAYER 05

Control and assurance

Policies, guardrails, evaluation and human oversight that keep agency accountable and auditable.

Capabilities
Multi-agent coordination
Task routing
Outcome ownership
Goal interpretation
Task decomposition
Adaptive replanning
Governed access
Action layer
Enterprise connectors
Persistent context
Retrieval
Grounding
Guardrails
Evaluation
Human oversight

How we deliver

People

Human judgment, creativity and accountability.

Agents

Intelligent systems that reason, coordinate and execute.

Systems

Enterprise applications, platforms and infrastructure.

Data

Context, knowledge and evidence.

Policies

Rules, permissions and governance.

Outcomes

Measurable business value.

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

  • Customer operations
  • Sales & revenue
  • Finance
  • Human resources
  • Supply chain
  • IT operations
  • Cybersecurity
  • Research & knowledge
  • Enterprise administration

Our agentic AI 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 the agentic enterprise 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

Workflow automation follows a fixed script. Agentic AI works towards a defined objective, interpreting context and coordinating across systems within limits set by the organisation.

AI governance is built into execution, covering identity, permissions, policy enforcement, audit evidence and a human in the loop wherever the decision warrants it.

We map workflows and identify where intelligent agents create measurable value, then design and govern them.

We design human-agent teaming and enable people with the roles and skills to work alongside intelligent systems.

We rework the division of labour between people and machines, then build the operating model that holds 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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