AI Native Technology

Enterprise Modernization & Intelligent Automation

Modernise legacy estates and automate core processes and workflows.

Modern technology. Intelligent operations.

Critical operations run on estates that cannot be taken offline while they are changed. Modernisation here proceeds in safe increments: dependencies mapped, business services isolated, integration built around them, and legacy retired only when the new path is proven in production.

Automation follows the same discipline. Process intelligence shows how work actually flows before anything is automated; workflow automation, RPA and agents are then applied where they remove effort and error without removing control. The estate becomes simpler and the operations become intelligent at the same time.

A surfer riding a large breaking wave

Core capabilities

Engineering capabilities delivered end to end by a single accountable team

Legacy modernization

Incremental modernisation of ageing estates without disrupting the systems the business runs on.

Application modernization

Re-platforming, re-architecting and rebuilding applications for the intelligent enterprise.

Cloud-native transformation

Containers, services and platforms that let applications scale and change independently.

Process intelligence

Discovery and analysis of how work actually happens before automation decisions are made.

Intelligent automation

Automation that combines rules, models and agents, applied where it removes effort and error.

Workflow automation

Orchestrated workflows across systems and teams with approvals and evidence designed in.

API and integration engineering

APIs, events and integration platforms that connect systems of record to the intelligence layer.

RPA plus AI

Robotic process automation extended with models and agents for judgement-bearing steps.

Business process orchestration

End-to-end orchestration of processes that cross applications, functions and partners.

Digital operations

Operations instrumented, automated and continuously improved in production.

iFortis Worldwide®

Where it sits in the architecture

This domain engineers AI Digital Workforce + Agentic Operations and Data + Integration + APIs within the enterprise architecture.

16:19  Mon 31 Aug
DoneWhere it sits in the architecture
CONTROL PLANESECURITY + GOVERNANCE + OBSERVABILITYIDENTITY · POLICY · MODEL RISK · AUDIT EVIDENCECONTROL PLANECLOUD + GPU + INFRASTRUCTURECOMPUTE · GPU · STORAGE · HYBRID AND MULTI-CLOUDINFRASTRUCTUREDATAPLATFORMS · LAKEHOUSEINTEGRATION + APISEVENT STREAMS · SYSTEMS OF RECORDDATA & INTEGRATIONAPPLICATIONSINTELLIGENT APPSMODELSEVALUATED · SERVEDAGENTSAGENTIC SDLCAPPLICATIONSRECORDSAGENTSPEOPLEPROCESSESPOLICYTIMEENTERPRISE INTELLIGENCE FABRIC + ONTOLOGYENTERPRISE GRAPH · ONTOLOGY · CONTEXT ENGINEINTELLIGENCE FABRICAI DIGITAL WORKFORCE + AGENTIC OPERATIONSDIGITAL WORKERS · AGENTS · AUTHORITY LIMITSDIGITAL WORKFORCEBUSINESS & OPERATING MODELDECISION RIGHTS · FUNDING · OUTCOMESBUSINESSAGENTRole definedAuthority limit setNamed human ownerGOVERNEDDECISIONPolicy checkedEvidence loggedReversibleTRACEABLEAI NATIVE TECHNOLOGY · ENTERPRISE ARCHITECTURE · SCALE 1:1
Business & Operating ModelAI Digital Workforce + Agentic OperationsEnterprise Intelligence Fabric + OntologyAI Applications + Models + AgentsData + Integration + APIsCloud + GPU + InfrastructureSecurity + Governance + Observability

How we engineer

A connected engineering model that takes growth from discovery to continuous adaptation.

  1. 01Discover
    • Enterprise landscape
    • Technology estate
    • Data and intelligence gaps
    • Opportunity map
  2. 02Architect
    • Target architecture
    • AI, data and cloud design
    • Integration model
    • Control plane
  3. 03Engineer
    • Products and platforms
    • Agents and models
    • APIs and pipelines
    • Infrastructure
  4. 04Industrialise
    • Evaluation harnesses
    • Agentic SDLC
    • MLOps and LLMOps
    • Repeatable patterns
  5. 05Deploy
    • Workflow activation
    • Digital workforce
    • Change and adoption
    • Release governance
  6. 06Operate
    • Service levels
    • Observability
    • Cost and FinOps
    • Incident and oversight
  7. 07Continuously adapt
    • Model and agent updates
    • Architecture evolution
    • Outcome measurement
    • Compounding value

Engineering stack

The disciplines this domain draws on most, from the complete engineering stack

Application Architecture

  • Monoliths
  • Modular Monoliths
  • Microservices
  • Service-Oriented Architecture
  • Event-Driven Architecture
  • Serverless
  • Distributed Systems
  • Domain-Driven Design
  • API-First Architecture
  • Headless Architecture
  • Composable Architecture
  • Edge Computing

APIs & Integration

  • REST
  • GraphQL
  • gRPC
  • SOAP
  • WebSockets
  • Webhooks
  • OpenAPI
  • AsyncAPI
  • OAuth
  • OAuth 2.0
  • OpenID Connect
  • SAML
  • JWT
  • API Gateways
  • Enterprise Integration
  • iPaaS
  • ETL
  • ELT

Automation & Workflow

  • n8n
  • Make
  • Zapier
  • Workato
  • MuleSoft
  • Boomi
  • Tray.io
  • Power Automate
  • UiPath
  • Automation Anywhere
  • ServiceNow Flow Designer

Robotic Process Automation

  • UiPath
  • Automation Anywhere
  • Blue Prism
  • Power Automate
  • Robocorp

Explore the full stack

Enterprise outcomes

Measured in the operating business, not in the programme report

Faster decision cycles

Reduce the distance between enterprise data and action.

Lower cost of operations

Automate the work itself, so cost per outcome falls as quality rises.

Higher engineering velocity

Accelerate product, platform and application development.

Greater automation

Automate work across processes, functions and workflows.

Reduced technology complexity

Modernise fragmented estates and simplify the enterprise architecture.

Improved enterprise visibility

See operations, risk and performance in one governed picture.

Scalable AI adoption

Move successful AI from individual use cases to enterprise-wide capability.

Continuous operating intelligence

An enterprise that improves without waiting for the next programme.

Frequently asked questions

Yes, by working in increments: map dependencies, isolate business services, integrate around them, run old and new in parallel where needed, and retire legacy once the new path is proven in production.

With process intelligence. Understanding how work actually flows, including the exceptions, decides what to automate, what to redesign and what to leave with people.

RPA handles the deterministic steps; models and agents handle the steps that need judgement, inside authority limits. The combination automates whole processes rather than fragments.

By making operations digital: instrumented, automated and measured, with a platform team that owns the standards and a change process that keeps the architecture coherent.

Build the intelligent enterprise. Explore an AI transformation opportunity with iFortis Worldwide®.

iFortis Worldwide®

Independently audited. Continuously governed.

ISO/IEC 27001:2022 certification mark

ISO/IEC 27001

Information security management

CERTIFIEDQUALITY MANAGEMENTISO9001

ISO 9001

Quality management

AICPA SOC 2 service organization control report

SOC 2 Type II

Security, availability and confidentiality

EU GDPR

GDPR

Data protection and cross border transfer

Contact us Submit an RFQ