Applied Information Technology Solutions (AITS) is a software company with established experience in enterprise information management, document and records repositories, business process improvement, and technology deployment. Building on this experience, AITS has developed the Content Tracking System (CTS), an AI-powered technology platform designed to provide organizations with measurable confidence in their document/data repository's health: A composite of completeness, compliance, quality, governance, and reliability.

Organizations rely on large repositories to support operations, regulatory obligations, legal requirements, and business decision-making. Yet many lack an objective and repeatable way to determine whether the information within those repositories is complete, compliant, current, properly governed, secure, and fit for purpose. Missing or duplicate records, poor metadata, obsolete information, retention deficiencies, security issues, and other information-quality problems can create operational, regulatory, and business risk. Limited resources often prevent organizations from proactively monitoring and addressing these issues, forcing them to react to problems after they emerge rather than identifying and resolving risks before they become business issues.

CTS measures and continuously monitors the health of corporate information repositories. It assesses repository content against customer-defined KPIs, policies, business requirements, governance standards, and compliance criteria. CTS evaluates areas such as completeness, quality, metadata, compliance, retention, security, governance, currency, duplication, ownership, and other organization-specific requirements, producing a measurable Repository Health score, identifying gaps and areas of risk, and providing evidence-based, actionable recommendations for improvement.

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Artificial intelligence does not automatically fix poor information during a health check - that comes later. If the underlying repository contains duplicate documents, obsolete policies, inconsistent metadata, poor classification or inaccessible information, a CTS Health Check exposes risk.

AITS therefore looks at the respository health against your defined metrics and provides Actionable Recommendations. The assessment may identify opportunities for repository cleanup, metadata improvement, search optimization, information governance, automation or AI-enabled knowledge solutions.

If you want AI to fix it for you, CTS can do that too - prioritized by risk. Anything that needs your direct attention is called out while CTS fixes the smaller problems.

The caution here is to not introduce AI for its own sake. It is to determine where modern technology can provide measurable business value resulting in better information management.

Measurable Results

Enterprise Information Managment is the application of business process management through the integration of people, technology, data, information and rules. It is often regarded as too complex or, at best, difficult to accomplish by many companies of every size. Part of the problem is in how EIM is evaluated as a success; it is unlike other technology solutions because its success has very little to do with the actual technology and everything to do with the people that use it.

If adoption of an EIM solution is not embraced by the business community, it is no solution at all. It is for this reason that many projects do not continue past the first phase or into the second fiscal year. The AIT team understands this completely and integrates the community into solution delivery, aligning expectation with requirements and technological capabilities.

Demonstrated Success

Real-time reporting of operations is compared to the pre-solution baseline data. This gives the results of the solution delivery - improvement is clearly identified and measured. This is how AIT's success is demonstrated. The project's sponsors and indeed, everyone throughout the business team get the accolades associated with that success.

Using standards like BPMN, DMN, CMMN and Business Rules Engines, AIT architects and analysts automate processes by configuring, not customizing, proven, commercial-off-the-shelf software - technology that already lives in the IT department or if needed, recommended by AIT. Complex Insurance Quotes, Claims, Loan Processing, AML, KYC and Supply Chain processes are available as pre-built, stock process models to kick-off a unique implementation. These processes are similar in each deployment because they are bound by rules of governance for the country in which they operate - similar but not the same. AIT's experience in solution delivery using up-to-date models based in rules of governance provides a strong benefit to the Total Cost of Ownership.