AI Native Engineering

Engineering the
AI Native Enterprise.

Designing intelligent enterprises where AI, data, cloud, and engineering operate as one.

Service As Software

From Projects to
Intelligent Outcomes.

Delivering business outcomes through AI agents, automation, and continuous enterprise operations.

Enterprise Intelligence Fabric

One Intelligence Layer.
Every Enterprise Decision.

Connecting enterprise knowledge, data, AI agents, and applications into one intelligent operating foundation.

Global scale. Enterprise impact.

Engineered with intelligence. Measured by outcomes.

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Average Engineering Experience

Average years of engineering experience across our senior delivery bench.

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Transformation Engagements

Programmes delivered into production across four continents.

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Enterprise AI Specialists

Engineers, architects, consultants and researchers under one standard.

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AI Native Solutions

Production AI Native solutions engineered, deployed and operated.

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Enterprise Integrations

Core platforms and data systems connected into intelligent architectures.

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Intelligent Agents Developed

Governed agents built with identity, permissions and supervision.

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Transformation Hours

Enterprise reinvention codified into reusable intelligence assets.

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Global Markets Served

Delivery, data residency and support across 43+ markets.

24×7
Global Delivery Operations

Follow-the-sun engineering and managed operations, always on.

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UN SDGs In Action

Every engagement mapped against all 17 Sustainable Development Goals.

The ecosystem we build on.

Powered by the world’s leading enterprise technologies.

AI Native by Design

Introducing Enterprise Intelligence Fabric.
Truly governed. Truly yours.

New Enterprise Intelligence Fabric capabilities rolling out across all regions.
Agent Studio arriving later this year.

See the architecture

Enterprise Intelligence Fabric and Agents. Truly governed AI that is centred on your business and your people, integrated into your systems, your workflows and your decisions.

MANUFACTURINGLine OEE · liveLine 1 · Weaving94%Line 2 · Dyeing88%Line 3 · Finishing71%Line 4 · Packing96%3 SHIFTS · 0 MANUAL ENTRIESFINANCIAL SERVICESCredit exceptionLimit breach on Meridian Group,flagged against policy CR-77.08:14 ISTExposure ₹2.4 CrAgent drafted 3 optionsAwaiting credit committeeEVIDENCE 14HUMAN STEPRETAIL · DEMAND SIGNAL+23%south monsoon rangeAGENT №042 · CLAIMSClaims cleared today1,204SLA 99.98% · 3 escalatedAuto-adjudicated1,201Escalated to human3Avg decision time1.8sEvidence attached100%+Ask Enterprise Intelligence FabricGOVERNED · IDENTITYEVIDENCE · APPROVALHEALTHCAREPrior authorisationMedian turnaround4.2hwas 6 daysRequests this month18,402Auto-approved83%Clinician reviewed17%Appeals overturned0.4%DECISIONS CARRY EVIDENCELOGISTICSShipment exceptionsHeld at customs4Re-routed by agent28On time98%DRAFTED FOR THE 07:00 OPS CALL

The future is
AI Native.

We exist to make that future real.

Building the
World’s AI Native Enterprises.

Enterprise transformation is no longer about implementing technology. It is about re-architecting how organisations think, operate, and create value.

iFortis Worldwide® is redefining enterprise transformation by combining AI Native Engineering, Enterprise Intelligence Fabric, and Service As Software into one integrated operating model that continuously learns, evolves, and delivers measurable business outcomes.

By transforming enterprise knowledge into intelligence and intelligence into execution, iFortis Worldwide® enables organisations to operate with greater speed, resilience, governance, and competitive advantage.

iFortis Worldwide headquarters at 6 Worldmark, Aerocity, New Delhi6 Worldmark, Aerocity · New Delhi

iFortis Worldwide®

Enterprise Intelligence Fabric

iFortis Worldwide®-powered Operating System for the Modern Enterprise.

EIF / REV 27 / SCALE 1:1SIMULATIONOPTION 01OPTION 02OPTION 03ANALYTICS98.4SLA %LIVEWORKFLOWSACTIONINTELLIGENT APPSAPIAPIAPIAPIENTERPRISE GRAPHDESCRIBESMONITORED BYSETTLESSUPERVISESOWNSGENERATESRECORDSASSETSAGENTSTXNSPEOPLEPROCESSAGENT №042OWNER R. IYERSCOPE CLAIMSREGION IN-DELACTIONS 1,20498TRUSTDECISION №1187POLICY CR-77 PASSEVIDENCE 14 SOURCESAPPROVED · M. RAODATAMODELSFLOWGOVERNED FLOWLIVE DATAΔ 12 MSΔ 3 MSRT v4.1WF ENGINE v7.0SDK v2.3GRAPH · main12.4M86K1.2K9.7M3.1 PB214 MODELSGROWTH · PRODUCTIVITY · EXPERIENCE · COMPLIANCE · INNOVATIONAGENT MESH · CONTEXT ENGINEDECISION INTELLIGENCE · AUTONOMOUS ORCHESTRATIONRETRIEVAL POLICY · ACCESS CONTROL · LINEAGEDOCUMENTS · POLICIES · PROCESSES · PEOPLE · APPLICATIONSKNOWLEDGE SOURCES01DATA & AI FOUNDATION02KNOWLEDGE FABRIC03INTELLIGENCE LAYER04ENTERPRISE APPS05BUSINESS OUTCOMES06LEARNING LOOP
Enterprise Graph · 12.4M live objects1,200+ governed agents, human-supervisedΔ 12 ms app-to-graph decision path3.1 PB governed data · 214 models

Where the decision meets the machine.

The same intelligence layer, running where latency, safety and evidence are not negotiable.

A submarine running on the surface, seen from directly above, its wake spreading behind it
Maritime and defenceSub sea and surface fleetsSensor fusion, mission planning and sustainment, governed end to end.
A satellite in low earth orbit with its solar array extended, the curve of the earth below
Space and earth observationOrbital assets and downlinkTasking, telemetry and imagery pipelines that decide before the pass ends.
An untextured three dimensional model of a 1956 saloon car, seen from the front quarter
Automotive and mobilityProgrammes, plants and digital twinsDesign, simulation and the line, working from one model of the vehicle.
A vehicle cabin display running media, climate and phone controls
Connected vehicleIn cabin software and servicesOver the air updates, telemetry and the experience the driver actually touches.
A person checking a connected vehicle app on a phone in the street, the car shown parked with charge remaining
Owner and fleet experienceThe asset, in someone’s handState, range and readiness answered on a phone, from the same governed model that runs the plant.

Enterprise AI with Business Context

Transform enterprise knowledge into intelligent decisions using Enterprise AI, Agentic AI, and contextual reasoning built for real-world business operations.

Learn more about Enterprise Intelligence Fabric
Summarize claim №4821 and recommenda settlement, with evidence attached.Reasoning with context...DECISION PLAYBOOKQuery claim history and policy CR-77Score liability with precedent ×14Draft settlement with evidence packRoute to adjuster for approvalCONFIDENCE0.92 · explainable

Unified Enterprise Integration

Connect ERP, CRM, cloud, data, enterprise applications, and legacy systems into one intelligent ecosystem that accelerates digital transformation.

Explore the capabilities
Sync order status from SAP to Salesforceand notify the account channel in Teams.Executing connectors...Upload from computerConnectorsPlaybooksSkillsVoiceSAP S/4HANASalesforceSnowflakeMicrosoft TeamsSlack

Trusted AI Governance

Deploy Enterprise AI with built-in security, compliance, explainability, responsible AI, identity management, and human oversight for production-ready operations.

See the trust controls
Approve agent release for claimsprocessing in the EU region.Running policy gates...GOVERNANCE PLAYBOOKVerify agent identity and scoped permissionsEvaluate model against policy CR-77Request human approval · M. RaoLog decision to the audit trailGATESIdentityScopeEvalRelease

AI Built for Enterprise Scale

Scale AI agents, intelligent automation, enterprise applications, and digital operations through resilient cloud-native architectures engineered for continuous innovation.

See the framework
1. Scale the agent fleet for quarter closeForecast workload from the Enterprise GraphProvision replicas across IN·EU·US regions2. Keep operations continuousRebalance data pipelines follow-the-sunNotify ops channel on every scale event3. Verify outcomes and optimizeRun outcome report · +240% capacity heldSend summary to the CIO every Monday 9amAUTOSCALE1,204 → 1,540agents active

Enterprises generate intelligence. Few capture it.

Enterprises do not have a data problem. They have an intelligence problem, and it compounds in whichever direction you point it.

Enterprise activity A05F; everything the business already doesSearchIFCAPTUREAll sourcesMeetingsDocuments12SYSTEMSERPCRM4CodeService deskEvents today48,102 +12.4% vs avgSources live36 +3 this weekUnstructured71 %of all captureLatency1.2 singest to memoryInbound streamranked by impactLIVE01Quarterly planning callTranscript linked to 3 open decisionsMeetingFinanceOpen02Supplier contract v4Clause change detected against policy CR-77DocumentExceptionReview03Order exception 8841SKU not mapped to material codeERPBlockedResolve04Account escalationSentiment dropped after 2 delivery slipsCRMAt riskViewCapture feedLIVEEmail agentParsed PO from Coastal RetailnowMeeting agentLinked transcript to decision 11872mDoc agentExtracted 14 clauses from contract v49mERP listenerFlagged exception 884114mCRM syncUpdated 62 account signals21mCode listenerDeployment approved by M. Rao33mService deskRefund request 2210 received41m
Enterprise Intelligence Fabric memory A05F; where activity stops disappearingSearchIFMEMORYOntology graphConnectors36EntitiesGOVERNANCEPolicies412LineageAccessRetentionIntelligence memoryfour planes, one governed layerSYNCEDCONNECTORS A05F; 36 LIVESAP S/4HANASALESFORCESERVICENOWSLACKGITHUBSHAREPOINTDATA PLANEDOCUMENTS2.1MEVENTS48K / DAYVECTORS94MENTERPRISE ONTOLOGYCustomerOrderProcessPolicyDecisionAssetMODEL & GOVERNANCEEMBEDDING MODELv4.2POLICY ENGINE412 RULESLINEAGE100%Memory indexGOVERNEDEntities1,284 modelled across 9 domainsliveRelations6,902 typed and versionedliveRules codified412 policies executableliveFreshness4 minutes behind sourceliveLineageEvery field traced to originliveAccessRow level, inherited from sourceliveRetentionGoverned by jurisdictionlive
Enterprise reasoning A05F; decision 1187 &#12A05F; supplier price exceptionSearchIFREASONINGRuns6AgentsPoliciesCONTROLEvidenceApprovals1AuditReplayConfidence0.94 above 0.90 thresholdLatency812 msend to endEvidence14 sourcesall linkedHuman steps1 of 6policy requiredRun traceevery step recordedRUNNING01Retrieve governing policyCR-77 pricing policy, version 4PolicyPassEvidence02Assemble evidence14 sources across ERP, CRM and contractsLinkedInspect03Simulate commercial impact3 options modelled against margin floorModelDoneCompare04Escalate for approvalAbove delegated authority, routed to M. RaoHumanWaitingApproveDecision logSIGNEDPolicy engineCR-77 matched, 412 rules evaluatednowRetrieval14 evidence sources resolvednowSimulationOption B holds margin at 31.4%1mGuardrailAbove authority, human step inserted1mReviewerM. Rao notified in Slack2mAuditReasoning chain written to ledger2mMemoryDecision returned as new context3m
Business outcomes A05F; work that completes itselfSearchIFLEDGERAll outcomesFinancial closeClaims8DOMAINSProcurementServiceDeliveryExportsDelivered12,480 +18% this periodCost per outcome$41 -28% vs baselineCycle time3.2 h-41% vs baselineFirst pass96 %+4 ptsOutcome ledger30 daysSETTLED01Financial close9 entities closed without manual journalFinanceSettledLedger02Claims adjudication4,102 claims, 3 escalated to humanInsurance99.9%ReportSettlementAUDITEDProcurement842 POs raised, 0 exceptionsnowService1,204 tickets resolved autonomously4mDelivery98% shipment visibility sustained12mFinanceClose completed 6 days early1hExportsCompliance pack generated2hMemory12,480 outcomes written back3hBoardMonthly performance pack issued1d

Enterprise Intelligence Fabric Memory

The category

The missing layer is not more software. It is Enterprise Intelligence Fabric.

Enterprise Intelligence Fabric Infrastructure: the foundational layer that makes an enterprise understandable, governable and executable by AI.

Systems of recordstore what happenedSystems of reasoningdecide what happens next

01 · Everything the business already does

Enterprise activity

Every meeting, workflow, decision and outcome is intelligence. In most enterprises it disappears across applications, inboxes and disconnected systems.

02 · Where it stops disappearing

Intelligence memory

Activity becomes a persistent, governed memory of how the enterprise actually operates, rather than a record of what it stored.

03 · From retrieval to judgement

Enterprise reasoning

Systems of record digitised operations. Systems of reasoning understand context, predict consequences, coordinate agents and execute work.

04 · Work that completes itself

Business outcomes

Outcomes are delivered and measured, and every completed outcome is written back into memory as new context.

Explore the intelligence loop

Inside the intelligence layer

Built to be used, not demonstrated.

ENTERPRISE ASKLIVEWhich suppliers put Q3 close at risk?RESOLVED AGAINSTONTOLOGY6,902 relationsPOLICYCR-77 v4SYSTEMSSAP · CRM · ContractsANSWERMeridian Components₹2.4 Cr exposure · 11 days lateKalyani Forge₹0.9 Cr exposure · 4 days lateSunrise PolymersWithin tolerance4 SUPPLIERS · POLICY CR-77 · 14 EVIDENCE SOURCES · 812 MS

Ask the enterprise, not the database. Natural questions resolve against the ontology, the policies and the live systems, and come back with the reasoning attached.

AGENT FLEET6 RUNNINGPROCESSOWNERSTEPSTATUSClaims intakeClaims agent842 / 900RUNNINGReconciliationFinance agent6 of 8RUNNINGException routingOps agentheld at 4ESCALATEDSupplier scoringProcure agentdoneCOMPLETEFinancial closeClose agentqueuedQUEUED1,204 AGENTS IN PRODUCTION · 82% AUTONOMOUS · 4.1% ESCALATED

Agents run the actual process. Not a chat window. A governed digital workforce executing inside the systems the business already runs on.

DECISION 1187 · EVIDENCE PACKSIGNEDCHAIN OF REASONINGPolicy CR-77 v4 retrievedPOLICY14 sources linked across SAP, CRM, contractsEVIDENCE3 commercial options simulatedMODELEscalated above delegated authorityGUARDRAILApproved by M. Rao, 02:14 ISTHUMANHASH 9f2c…a17d · IMMUTABLE · REPLAYABLEAUDIT READY1.9M DECISIONS LOGGED · 100% EVIDENCE COVERAGE · 0 POLICY BREACHES

Every decision carries its evidence. Reasoning, sources, identity and approval travel with the outcome, so an auditor sees what the agent saw.

BOARD VIEW · 30 DAYSSETTLEDOUTCOMES DELIVERED12,480+18%COST PER OUTCOME$41-28%CYCLE TIME3.2h-41%FIRST PASS96%+4ptsTHROUGHPUT · 30 DAYSMEASURED ON THE SAME TERMS THE BUSINESS ALREADY REPORTS

Outcomes you can put in front of a board. Throughput, cost per outcome, cycle time and accuracy, measured on the same terms the business already reports.

Service As Software

From enterprise knowledge to autonomous business outcomes

Every enterprise already owns the knowledge to transform. The challenge is making that knowledge executable. Service As Software converts institutional expertise, business processes and operational intelligence into AI Native capabilities that continuously operate, learn and improve.

Conversion 01 / 04
01

The knowledge already exists. It just is not executable.

Expertise
Service todayThe same work as software

Judgement lives with a handful of senior people

Expertise captured as models, rules and ontology

Process is documented, not executable

One governed definition of how the work is done

Quality varies by who is on shift

The same judgement available at any hour

9 domainsmodelled into a single governed enterprise ontology

02

Process gets compiled, not just automated.

Encoding
Service todayThe same work as software

Handoffs scatter across systems and inboxes

Steps compiled into agentic workflows

Work restarts every time context is lost

Context carried end to end, run after run

Exceptions escalate to a person by default

Exceptions resolved by reasoning, not by ticket

412 policiesmade machine executable and enforced at the point of action

03

The service runs itself, and you supervise it.

Execution
Service todayThe same work as software

Capacity scales only by hiring

Capacity scales by deployment

Cycle time is bounded by working hours

Cycle time is bounded by compute

Cost rises in step with volume

Cost decouples from volume

40 to 60%reduction in cycle time across the processes we put into production

04

It improves without being rebuilt.

Compounding
Service todayThe same work as software

Improvement needs a new project and a new budget

Improvement lands in the system already running

Learning stays inside individual heads

Every run becomes signal the system learns from

Last year’s fix becomes this year’s backlog

Outcomes compound quarter over quarter

25 to 35%quality gain by the fourth quarter of continuous operation

The iFortis Worldwide® Advantage

Beyond projects. Beyond platforms. Beyond outsourcing.

Compare
Traditional ConsultingExpertise
Traditional SoftwareTechnology
Traditional OutsourcingWorkforce
iFortis Worldwide® AI NativeBusiness Capabilities
Primary Value
Strategy
Productivity
Execution
Business Outcomes
Delivery Model
Projects
Platforms
Managed Teams
Service As Software
Powered By
Consultants
Applications
People
AI + People + Platforms
Execution
Human-Led
User-Driven
Process-Driven
AI Agents + Human Governance
Technology
Advisory Tools
Enterprise Software
Operational Systems
Enterprise Intelligence Fabric + AI + Cloud + Data
Commercial Model
Time & Material
Licensing
FTE-Based
Outcome-Based
Scalability
Hire More Consultants
Buy More Licenses
Add More Headcount
Scale Intelligence
Improvement
New Engagement
Product Upgrade
Contract Renewal
Continuous Learning
Knowledge
Project Documents
Application Data
Team Experience
Enterprise Intelligence Fabric Memory
Enterprise Impact
Point Transformation
Technology Modernization
Operational Support
Continuous Enterprise Reinvention
Success Measured By
Project Completion
User Adoption
SLA Achievement
Business Value & ROI

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

Trusted by the world’s leading enterprises.

Global organisations we build, operate and scale with.

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.

Customer Success Stories

How leading organisations transformed intelligence into measurable business outcomes.

Manufacturing 2026

Building an AI Native manufacturing enterprise

ERP records transactions; it was never designed to reason across changing conditions. iFortis Worldwide® engineered an Enterprise Intelligence Fabric above the existing estate, unifying planning, inventory, supplier commitments, capacity and operational policy. Agents evaluate thousands of variables continuously and escalate only high-impact commercial decisions, and planners moved from assembling schedules to governing intelligence.

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 fundamentally 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

Manufacturing

Building an AI Native manufacturing enterprise

40%reduction in production planning cycle time

Planning accuracy
31%
Inventory cost
28%
Recommendations accepted
96%

Systems integrated

SAP S/4HANA · Siemens Opcenter · Microsoft Fabric · Azure OpenAI · MES · WMS

Read the case study
Retail & Consumer Goods

Reinventing retail with an AI Native commerce 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

Everyone Loves iFortis Worldwide®

Leading the way in Corporate Transformation & Enablement

India’s Impactful CEO 2024

ET Edge · The Times Group

Impact Investment Personality of the Year

IP Ventures

Top 50 ECM Consultant in India

The Manifest

Top Software Development Company

GoodFirms

Top IT Managed Service Providers in Bengaluru

Clutch

Top Workplaces 2025

Top Workplaces

Memberships and affiliations

United Nations Global CompactForward FasterWomen's Empowerment PrinciplesFor All Women and GirlsSME Climate Hub · Committed 2024World Economic ForumSPIEF'25 St Petersburg International Economic ForumSTI ForumGartnereLearning IndustryGoogle Reviews · Rated 4.6/5 (9,000+)United Nations Global CompactForward FasterWomen's Empowerment PrinciplesFor All Women and GirlsSME Climate Hub · Committed 2024World Economic ForumSPIEF'25 St Petersburg International Economic ForumSTI ForumGartnereLearning IndustryGoogle Reviews · Rated 4.6/5 (9,000+)

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

Empowering the globe.

As a global corporate citizen, we align innovation with sustainable global progress.

The seventeen goals are the public framework we hold our own work to, and the one we report against.

Explore Sustainability

From a thesis to production.

A short account of how the firm developed, and where it is heading.

  1. 01 Origin

    Founded on a thesis

    The firm was established on a single conviction: that professional services would be rebuilt as software.

  2. 02 Delivery

    Agents in production

    We moved from advisory into delivery, running codified processes against client systems of record under supervision.

  3. 03 Commercial

    Outcome based pricing

    Commercial terms moved from time and materials to the completed unit of work, with service levels attached.

  4. 04 Today

    Three countries, one architecture

    We operate across the United States, India and Singapore on a single governed control architecture.

  5. 05 Next

    Operations that improve themselves

    Our focus now is systems that learn from every run, so capability advances without a further transformation programme.

The questions boards actually ask.

If yours isn’t here, our specialists will answer it directly, including the uncomfortable ones about failure modes and exit rights.

What does "AI Native Enterprise" actually mean?
An AI Native enterprise is one where intelligence sits in the operating model rather than beside it. Work is executed by systems and supervised by people, decisions are made against live data rather than monthly reporting, and capacity scales without a hiring cycle. The practical test is simple: if you switched the AI off, would the business still run the way it does today? If yes, it’s AI-enabled. If not, it’s AI Native.
What is Service As Software?
A delivery model where a business service is produced primarily by software. AI agents execute a codified process, with domain experts supervising and remaining accountable for the result. You are not buying a licence or a team. You are buying a completed unit of work: a closed period, a cleared claim, a resolved ticket, a shipped release. Commercials follow that unit rather than the hours behind it.
How is this different from what Accenture, Deloitte or IBM would sell us?
Scale and brand are theirs; we don’t pretend otherwise. The difference is structural. A pyramid business earns more when a programme needs more people, so automating the work cannibalises the revenue model. Ours does the opposite: we are paid per outcome, so every efficiency gain accrues to margin rather than being billed back to you. That alignment is easy to claim and hard to fake. Ask any shortlisted firm to price the same scope on an outcome basis and see who agrees.
How do AI agents improve enterprise operations in practice?
Most enterprise work is rule-dense rather than judgement-dense. The rules are complicated, but they are rules. Agents absorb that layer: reading unstructured inputs, retrieving context across systems, executing multi-step workflows and routing genuine exceptions to people. The gain is rarely headcount alone. It is cycle time, consistency, and the capacity to serve demand that was previously suppressed because nobody could economically get to it.
Can you modernise legacy systems, or only build new ones?
Both, and in most engagements the legacy estate is the starting point. We assess, decouple and modernise incrementally, usually wrapping the system of record rather than replacing it on day one. Agents frequently deliver value against legacy platforms years before those platforms are retired, which is often what makes the modernisation business case affordable.
How long does reinvention take?
A scoped Service As Software use case typically reaches production in 8 to 14 weeks, with a measurable result inside the first quarter. Enterprise-wide programmes run in waves over 12 to 24 months. We deliberately avoid multi-year programmes with no value milestone before month twelve. If the first outcome is that far away, the scope is wrong.
How do you govern autonomy and prove control?
Governance is designed in at the Architect stage, not audited in afterwards. That means documented decision rights, evaluation suites with pass thresholds before release, full audit trails on agent actions, data residency and access controls, human sign-off wherever a mistake carries legal, financial or clinical cost, and a defined rollback path. We align to recognised AI risk frameworks and to your own regulatory obligations.
What happens to our people?
The honest answer is that role composition changes, and pretending otherwise damages trust in the programme. Work that is rule-dense moves into the system; work that is judgement-dense, relationship-led or exception-heavy grows in value. We build the change plan and the reskilling path alongside the technical one, and we tell you early which roles are affected. Discovering that in month nine is the single most common reason transformations stall.

Where marketing becomes an operating advantage

Brand, demand and technology run as one system, not three budgets.

Creator marketingProduct in the hands that shape demand
Brand filmA brand people can hear
Digital experienceConsidered commerce, unhurried
Brand and webThe first thing a market meets
Customer experienceThe interface is the relationship
Earned mediaWhen the story outruns the buy
Social and communityRepetition is the format
Retail and commerceThe shelf became an ad network
Gaming and platformsAttention where it already lives
Campaign systemsOne idea, a hundred executions
Product innovationThe product becomes the campaign
Craft and AIMachine hand, human intent
InteractiveParticipation beats impression
CultureWhere the brand meets the moment
Purpose communicationsSaying the difficult thing well
Brand entertainmentMade to be watched, not skipped
Design and ideaOne image, one argument
Editorial and publishingIdeas that outlive the campaign

Global Center Office

Welcome to the Global Center Office of iFortis Worldwide®

Ready to build an AI Native Enterprise?

Tell us which function is underperforming and what you have already tried. A specialist will reply within one business day with an initial view, and a clear answer on whether this is work for us.