Industries We Serve
Tailored solutions across diverse sectors
Retail & Wholesale Distribution
Streamline operations and scale with confidence
Retail and wholesale distribution companies operate in fast-moving environments where margins are tight and volumes are high. Success depends on accurate data, efficient operations, and the ability to respond quickly to demand across multiple sales and supply channels.
Our Approach
We streamline your operations by automating high-volume processes, connecting your systems, and adding intelligence where it creates real value. From faster order-to-cash cycles and accurate invoice processing to real-time visibility on stock and supplier performance, we help you operate with clarity and confidence.
Sales Order Entry & Validation
A wholesale distributor receives daily orders via email, Excel files, and an online portal. Customer service agents manually retype orders into the ERP, check stock availability, and confirm delivery dates. During peak periods, backlogs appear, orders are delayed, and mistakes occur.
RPA collects orders from email inboxes, shared folders, and portals
AI reads order files and validates product codes, quantities, and delivery addresses
A workflow checks stock availability and confirms the order automatically
Only incomplete or inconsistent orders are sent to an agent for review
Supplier Invoice Processing (AP)
The finance team processes thousands of supplier invoices monthly, arriving as PDFs or scans. Invoices must be matched with purchase orders and delivery notes. Manual processing slows down month-end closing and creates frequent supplier disputes.
AI extracts invoice data (supplier, lines, prices, taxes)
RPA performs PO and GRN matching in the ERP
A workflow routes mismatches to procurement for resolution
Clean invoices are posted automatically
Inventory Reconciliation Between ERP & Warehouse
Inventory levels differ between the ERP system, warehouse management system, and online catalog. Manual reconciliation happens weekly using spreadsheets, often too late to prevent stock issues.
RPA extracts stock data from ERP, WMS, and e-commerce systems
AI highlights recurring discrepancies and abnormal movements
A workflow updates systems or triggers investigation tickets
Manufacturing
Optimize production, quality, and supply chain visibility
Manufacturing companies face growing complexity: multi-site operations, global supply chains, strict quality standards, and the need to balance production efficiency with customer responsiveness. Disconnected systems and manual processes create delays, errors, and limited visibility.
Our Approach
We connect your production, quality, and supply chain systems to create a unified view of operations. By automating data collection, monitoring, and reporting, we help you respond faster to issues, improve quality control, and make better-informed decisions.
Real-Time Production Monitoring & Alerting
Production managers rely on manual reports updated once or twice a day. When issues occur (machine downtime, quality deviations, material shortages), the response is slow. By the time problems are escalated, production targets are already impacted.
RPA collects production data from MES, PLCs, and ERP systems in real time
AI detects anomalies and deviations from expected performance
Automated alerts notify the right teams instantly
Dashboards provide live visibility into production status across all lines and sites
Automated Supplier Performance Monitoring
Procurement and quality teams manually track supplier delivery times, defect rates, and compliance. Data comes from multiple sources (ERP, quality logs, emails). Reporting is inconsistent, and supplier issues are often discovered too late.
RPA extracts supplier data from ERP, quality systems, and logistics platforms
AI calculates KPIs (on-time delivery, defect rates, lead times)
Automated scorecards are generated and shared with procurement
Alerts trigger when suppliers fall below performance thresholds
Quality Control Data Integration & Traceability
Quality data is scattered across inspection logs, lab results, and ERP systems. Traceability is manual and time-consuming. When a quality issue arises, it takes hours or days to trace affected batches and notify customers.
RPA consolidates quality data from multiple sources into a central repository
AI links production batches with quality results and customer shipments
Automated workflows trigger recalls or holds when issues are detected
Full traceability reports are generated instantly
Banking & Financial Services
Accelerate compliance, onboarding, and customer service
Financial institutions operate in a highly regulated, fast-paced environment where customer expectations, compliance requirements, and operational efficiency are all critical. Manual processes create delays, errors, and compliance risks.
Our Approach
We automate high-volume, rule-based processes across onboarding, loan processing, compliance, and reporting. By connecting your systems and adding intelligent validation, we help you accelerate customer service, reduce errors, and meet regulatory requirements with confidence.
Automated Loan Application Processing
Loan officers manually review hundreds of applications monthly, checking documents, validating data, calculating eligibility, and preparing approval packages. The process is slow, inconsistent, and prone to errors. Customers wait days or weeks for decisions.
AI extracts data from loan applications and supporting documents
RPA validates information against internal and external databases
Automated credit scoring and eligibility checks are performed
Complete applications are routed for approval; incomplete ones are flagged for follow-up
KYC & Customer Onboarding Automation
New customer onboarding involves collecting documents, verifying identity, checking sanctions lists, and updating multiple systems. The process is manual, slow, and creates a poor first impression. Compliance teams struggle to keep up with regulatory changes.
AI extracts and validates customer data from ID documents and forms
RPA performs sanctions screening and AML checks automatically
Workflows route exceptions to compliance officers for review
Customer accounts are created and updated across all systems automatically
Wealth Management Client Onboarding & Portfolio Setup
Wealth management teams manually onboard high-net-worth clients, collecting extensive documentation, performing risk assessments, and setting up investment portfolios. The process involves multiple systems and takes weeks, delaying revenue generation.
AI extracts client data from forms and financial documents
RPA performs risk profiling and suitability assessments
Automated workflows set up accounts, portfolios, and reporting
Relationship managers receive a complete client profile ready for review
Shared Services & GBS
Deliver more with less, meet SLAs consistently
Shared Services organizations are under constant pressure to do more with less: standardized processes, reduced costs, strict SLAs, and consistent service across multiple business units and regions.
Our Approach
We streamline end-to-end service delivery by automating high-volume, rule-based processes across finance, HR, procurement, and reporting. By connecting fragmented systems and adding intelligence where it truly matters, we help you meet SLAs, improve data consistency, and increase transparency across entities and regions.
SLA-Driven Service Request Management
Shared Services teams receive hundreds or thousands of requests every month: vendor queries, employee HR requests, accounting corrections, access changes, confirmations, etc. Requests arrive via emails, Excel files, portals, or even chats with no unified tracking. SLAs are manually monitored, escalations are late, and reporting is unreliable.
Requests are automatically captured from email, forms, or portals
Classified and routed using rules and AI-based intent detection
SLAs are tracked automatically with real-time alerts
RPA executes backend actions (ERP updates, confirmations, document generation)
Dashboards provide live SLA, backlog, and workload visibility
Automated Intercompany Accounting & Reconciliation
Intercompany transactions are one of the most time-consuming and error-prone activities in Shared Services. Differences between systems, late postings, missing references, and manual reconciliations slow down month-end close and create audit risks. Teams spend days reconciling balances instead of analyzing them.
RPA extracts intercompany data from multiple ERPs
Automated matching rules reconcile transactions across entities
AI highlights anomalies, missing entries, and unusual variances
Adjustments are prepared automatically and posted with approval
Reconciliation status is visible in real time
Ready to Transform Your Industry?
Let's explore how intelligent automation can revolutionize your operations.