Intelligent enterprise engineering.

A national electricity utility needed IBM Maximo in the hands of field crews — but field work happens in places with no signal, and coupling a field application directly to the Maximo core meant outages upstream became outages at the pole.

An offline-first React Native application on top of IBM Maximo handling work orders, GPS and signature capture, notifications, and fault and supply-disruption reporting. Behind it, a Spring Boot microservices middleware layer decouples field operations from the Maximo core, with near-real-time and scheduled two-way sync and HADR on AWS. Licensing cost was reduced through multiplexing.

Crews keep working through any network condition, every field action carries a full audit trail, and the integration backbone now serves as the platform for future systems rather than a point solution.

Enquiries, pricing requests and shipment documents arrived across email, WhatsApp, web and carrier portals in volumes no team could keep up with. Rates had to be collected and compared by hand across carriers, quotes and invoices took heavy manual effort, and business was lost to whoever replied first.

AI multichannel enquiry capture feeding an LLM and ICR extraction engine, automated quotation and rate intelligence, and an RPA pricing co-pilot that collects and compares rates across MSC, Maersk and CMA CGM. Invoice automation with compliance validation closes the loop.

Enquiries are answered outside business hours, rate comparison is immediate rather than a research task, and revenue leakage from slow or missed quotes is substantially reduced.

Physical verification of medicines at receiving and returns was manual, error-prone and slow — and it buckled under peak-hour surges. Manual validation also carried real fraud and compliance exposure in a regulated supply chain.

An IoT conveyor with box cameras scans medicines as they move. AI performs item detection and verification, returns are compared automatically against the original claim request, credit-note approval is automated, and the whole flow integrates with the ERP.

Verification is automated and fraud-resistant, manual errors are near-eliminated, and the platform absorbs demand surges instead of queueing behind them.

Order processing depended on people reading emails and EDI messages and keying the contents into SAP. Peak-hour surges caused backlogs, data-entry errors caused disputes, and processing delays turned into late deliveries.

End-to-end intelligent automation of sales order management in SAP Business One: read the email or EDI message, extract the order detail, validate item, quantity, customer and credit, then auto-create items, customers and orders in SAP. A real-time portal tracks order status throughout.

Order processing is elastic under surge, errors are near-eliminated, and the same extraction and validation pattern has been reused for invoice automation.

Enquiry-reply delays were costing business outright. The quotation process depended on manual document handling and vendor chasing, and manual errors compounded the delay.

AI-powered enquiry automation across the quotation process — automated email and document processing, smart vendor interaction with partners, quote aggregation and optimisation, and automated response delivery.

Responses go out consistently and on time, turnaround is faster, and the workflow scales through demand surges rather than queueing.

Reconciliation ran late and created accounting friction downstream. Statements and remittance instructions were read by hand, matched by hand against SAP, and corrected by hand.

Automated bank reconciliation in SAP Business One: read bank statements and remittance instructions, retrieve SAP incoming-payment detail, validate bank against remittance against SAP, and auto-correct incoming payment entries.

Reconciliation and settlement happen on schedule, manual errors are near-eliminated, and peak volumes no longer extend the close.

HR, Finance, Accounting and Support had grown into data silos. Payroll and invoice processing were manual, repetitive work was driving high support latency, and there was no real-time financial visibility anywhere in the business.

A single intelligent ecosystem on the DoIT platform: intelligent HRMS and payroll with statutory compliance, AI-driven ledger posting and three-way matching, automated month-end close and tax reporting, AI transcription turning meetings into action items, and a predictive analytics command centre.

The back office runs as one system with real-time financial reporting, and the support function spends its time on exceptions rather than repetition.

Large-scale procurement ran on high-touch manual processes — fragmented tender and bid workflows, data-entry errors across RFPs and RFQs, slow multi-level approval cycles, and limited audit visibility.

A unified automated ecosystem on the DoIT platform: AI OCR/NLP extraction from proposals, weighted-matrix scoring and simulation, side-by-side bid battlecards, AI meeting intelligence that captures commitments, and ERP integration for purchase orders and three-way matching.

Procurement cycle times accelerated, AI risk scoring flags gaps before they become problems, and spend analysis and savings are visible on a dashboard rather than reconstructed after the fact.

A retailer operating across Dubai, Qatar, Kuwait, Bahrain and other UAE markets needed one omnichannel platform. Registration friction was suppressing acquisition, regional taxes and billing rules were managed through disconnected ERP logic, country-specific merchandising rules were hard to enforce, and there was no centralised customer insight.

A single-codebase, configurable omnichannel platform for multi-region use, with a low-friction registration flow offering multiple login methods, real-time ERP integration syncing products, inventory, pricing, taxes and customer data, and a centralised pricing engine handling regional taxes, discounts, loyalty and store-specific pricing.

The business expanded across markets on one platform instead of one build per country, merchandising rules are configuration rather than code, and customer intelligence now drives targeted marketing and retention.

High-volume, multi-location storage, picking, packing and distribution ran on manual, legacy-tool-heavy processes with limited real-time inventory visibility, data silos across sites, and little shipment traceability.

A web-based warehouse management system with real-time inventory tracking, barcode and mobile-enabled data capture, optimised picking, packing and shipping routines, and integration across ERP, mobile and third-party systems — built for multi-location scale from the start.

Inventory accuracy and workforce productivity both improved, order turnaround and dispatch accelerated, and operations run on analytics rather than intuition.

Reporting was fragmented and manual across four divisions running Dynamics 365, SAP and legacy MYOB. Every consolidated number had to be rebuilt by hand, and duplicates across entities meant no figure was fully trusted.

A centralised, governed, real-time analytics platform: cross-entity integration across D365, SAP and MYOB; a common GL standard giving one reporting schema without disrupting the source ERPs; and an automated master-data-management layer resolving duplicates before they reach a report. Delivered in three phases over six months.

One trusted reporting layer across all entities and geographies, with interactive dashboards turning consolidated data into real-time operational and financial insight.

Ticket handling, approval routing and invoice processing lived in three different tools, and keeping them in step was effectively somebody's full-time job.

A J2EE and React ITSM application with ticket management and workflow automation, automated approval routing and invoice automation — integrated across the client's existing ecosystem including ServiceNow, JIRA and FieldCode.

Tickets, approvals and invoices move through one workflow engine, and the coordination work between the three tools disappeared rather than being redistributed.

A large hospitality facility needed personalised guest engagement and indoor navigation across multiple locations, with real-time visibility for management.

High-resolution cameras identify visitors and capture photographs automatically, composing a collage or reel of their visit delivered by email or WhatsApp. An interactive facility map provides point-to-point routing with live tracking, proximity push notifications and nearby points of interest, feeding a real-time management dashboard.

Guests get a personalised, navigable experience, management gets multi-location visibility, and the same vision platform extends to traffic monitoring and licence-plate recognition.