Connect fragmented systems, manage high-volume workflows and use your operational data to improve business performance.
Defined Quality Checks | Controlled Access | Secure Data Handling | Exception Ownership
ARDEM provides managed data processing services for organizations with large volumes, complex business rules and information spread across documents and systems. We combine process expertise, automation and specialist review to deliver the agreed operating outcome.
We design and build the processing workflow around your inputs, business rules and required output. The solution can operate in approved client systems, use configured ARDEM tools or combine both. Automation, programmatic validation and specialist review work together to capture, match, transform and deliver usable records.
ARDEM manages the agreed operation, including exceptions, delivery status and performance reporting. The scope can cover a new solution, improvements to recurring work or a defined backlog or conversion project. We use recurring issues to identify practical improvements, not simply report completed volumes.
When applications do not exchange the information your operation needs, manual handoffs create delays and repeated work. ARDEM configures the processing layer between those systems and manages the workflow end to end.
Agree on the records, exception visibility and reporting your operation needs. This illustrative delivery design is configured to your systems and scope.
| Deliverable | Business use |
|---|---|
| Validated, structured records | Use consistent fields and formats in downstream applications. |
| Exception status and assigned owner | Separate completed work from items requiring a decision. |
| Volume, turnaround and recurring issue reporting | Identify backlogs, repeated rework and improvement priorities. |
Client Case Studies
Structured workflows for complex data and high-volume delivery.
Healthcare Data
For a clinical trial data company, ARDEM supported claim-line processing using client-defined field mappings. The published case describes a starting backlog of approximately 20,000 claim-line items and an expansion from 16 to 33 carrier formats.
Processing scope combined volume, format variation and process knowledge.
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Data Conversion
ARDEM converted more than 10,000 pages and 200,000 lines of data within the required 60-day window. It built and managed the workflow with OCR-assisted capture, human validation, exception review, batch control and milestone tracking through final delivery.
Documented project result, not a standard turnaround promise.
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Define what counts as completed output, which items remain open and who acts next. A transmitted file and a record accepted by the receiving application are different milestones. Agree the evidence available from your systems before measuring delivery.
Evaluate capacity, continuity and ownership, review system responsibilities, or prepare for the transition.
For a business-reporting example, see how ARDEM normalized store-level POS records into BI-ready data. This demonstrates data preparation and exception controls, not a claim of forecasting or financial improvement.
See the patterns behind your operating results.
ARDEM can analyze processed data and workflow performance to surface recurring exceptions, delays, inconsistencies and potential leakage. We configure reporting around the questions that matter to your business, helping your team prioritize efficiency gains and make informed operating decisions. The measures and analysis depend on your industry, data and agreed scope.
Using a combination of both automation technology and skilled analysts, ARDEM’s data processing solutions utilize data extraction services for higher accuracy and quality and to meet your deadlines.
Data Entry from various documents directly into your system or delivered as a normalized data file that can easily be ingested into your system. Data Processing is done for Forms, Warranty Cards, Loyalty Forms, PDFs. By outsourcing large volume data processing services, you can process data efficiently and accurately.
Data processing applies business rules to turn captured information into usable records. ARDEM can validate, standardize, match and route data, manage exceptions and report on delivery. Our managed outsourcing approach connects the processing work with agreed quality measures and the next operating step.
Data processing outsourcing services give organizations a scalable way to manage recurring, high-volume processing work without relying solely on additional internal staff. ARDEM manages defined workflows across documents, forms, transactions, claims, invoices and orders with trained teams, automation, validation, quality review, exception handling and operational reporting.
ARDEM provides accurate claims data entry services. Healthcare and Insurance claims are batched and shipped to us, sent as email attachments, or managed through your centralized inbox!
Invoice Processing Services utilize a combination of automation and effort-based data entry to accurately extract data and process invoices for approval and payment on cloud platforms.
Data Processing Services are used for Data Enrichment when we clean, match and integrate your data available in various data sets. This makes your data more valuable for analysis and decision making. Data Entry, Data Mining and Data Research may be utilized in Data Processing.
Quick and accurate sales order processing and order-data workflows support shipment readiness through agreed checks, exception follow-through and timely handoffs. Data Processing Services are utilized for sales order entry, order picking, shipment processing, and invoicing.
ARDEM has supported business operations since 2004. Our managed outsourcing services bring together process expertise, data entry services, data capture, document processing and workflow automation. We define delivery measures with your team and provide visibility into volumes, turnaround, quality checks and exceptions.
| Service component | ARDEM responsibility |
|---|---|
| Workflow and platform | Configure processing steps, business rules and approved system connections. |
| Ongoing delivery | Manage processing teams, automation, quality checks and exceptions. |
| Performance visibility | Report on agreed delivery measures, pending work and recurring issues. |
| Continuous improvement | Use operating data to identify improvements and refine the managed workflow. |
Your team buys an ongoing operating outcome. The platform, automation and integrations support that service rather than being a standalone software purchase.
Define the result: Map your inputs, volumes, systems, business rules, exceptions and required outputs. Agree on quality measures, turnaround, responsibilities and how completed work will be accepted. A finished technical specification is not required.
Build, connect and test: Design the processing steps, validation rules and workflow automation around the requirement. Establish approved system access, APIs or secure exchanges. Test representative records, difficult exceptions and output acceptance before expanding production.
Operate: Manage intake, extraction, processing, validation and exception handling. Deliver output back to your applications and report on the agreed measures.
Improve: Analyze patterns and recurring issues, prioritize changes with your team and refine the workflow as volumes and requirements evolve.
Reliable processing depends on consistent records. ARDEM can build cleansing, matching and normalization into your recurring workflow so information is usable across applications and reporting.
Data processing services convert raw business data into structured, validated and usable information. The work can include data capture, entry, validation, cleansing, classification, enrichment, system updates, exception handling and preparation of data for downstream business systems or reporting.
Outsourcing can help when recurring volumes exceed internal capacity, backlogs develop, or processing requires substantial coordination across systems and teams. It can also fit a defined conversion or migration project. Evaluate who will design the workflow, maintain its controls, resolve exceptions and take responsibility for delivery, not only how many people will process the records.
Organizations can outsource processing for documents, forms, invoices, claims, orders, customer or vendor records, transaction data, spreadsheets and other business information. The appropriate workflow depends on the source data, required output, business rules, validation requirements and exceptions involved.
Software performs configured tasks. A managed processing service can design and operate the wider workflow, combining software with trained specialists, quality review, exception resolution and reporting. Software with an internal owner, additional resources or a managed service may each fit different requirements; compare the responsibilities and internal effort retained under each proposal.
Yes. AI, workflow automation and validation rules can support document capture, classification, extraction, matching and routing. Specialists review uncertain or inconsistent information and decisions requiring judgment. The design should show what is automated, what triggers review and how corrected records return to the processing workflow.
Agree on required fields, critical errors, validation rules, review coverage and acceptance criteria before production. Quality reporting should distinguish confirmed errors, corrected records and items awaiting clarification. ARDEM manages the agreed checks and exception paths, tracks owners and next actions, and investigates recurring defects that affect the operating result.
Yes, through approved system access, APIs or agreed secure file exchanges. The design covers field mapping, update frequency and the handling of failed transfers or rejected records. Where the receiving application exposes an acceptance response, that response can be checked before delivery is treated as complete. Real-time exchange depends on the connected systems and required review steps.
Pricing depends on volume, record complexity, source formats, business rules, exception workload, quality review, delivery windows and system connections. A useful proposal distinguishes initial design and integration from ongoing processing, reporting and change requests. Compare retained internal effort and rework alongside the provider fee.
Implementation time and ongoing processing time are different measures. Define intake cutoffs, when the processing clock starts, expected peaks and priority work. For a fixed-deadline project, agree batch milestones and acceptance checks. Unresolved exceptions should remain visible with an owner and next action rather than disappear from the completion report.
Yes. Within the agreed scope, ARDEM can investigate recurring exceptions, delays and potential leakage, validate the available findings and recommend practical changes. The useful measures depend on your data and operating requirements. We review progress against agreed outcomes rather than assume that more reporting alone improves the business.
Describe your inputs, desired output, volumes, systems, timeline and difficult exceptions. You do not need a finished procedure or technical specification. ARDEM can help define the workflow, controls and delivery requirements. Describe sensitive records in the inquiry; representative source files can be shared later through an approved secure channel.
Yes. A defined initial scope can establish input handling, validation, exception ownership and output delivery before adding more workflows. Agree how performance will be reviewed and what must be demonstrated before expansion. This helps the business evaluate the operating approach using its own data and requirements.
Comparing delivery approaches? Our 2027 data entry outsourcing buyer guide explains how to evaluate operating responsibility, quality, pricing, system delivery and provider evidence.
Extract and normalize the information your teams need from incoming documents.
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Clean and analyze business data to identify useful patterns, trends and insights.
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Connect repeatable steps, validation and exception handling across your operation.
ExploreWhether you need a new processing solution, improvements to an existing workflow or a defined backlog project, tell us about your inputs, systems, volumes and desired outcome. A completed technical specification is not required. A Sr. ARDEM Data Operations Consultant will review your requirements and follow up by email.
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