End Manual BR100 Updates: Generate HCM Configuration Docs Using GenAI

Updating BR100s manually means navigating through configuration screens in Oracle ERP, pulling information into spreadsheets, and transcribing values into a predefined document template. For functional consultants and ERP administrators, this is one of the most repetitive and time-consuming tasks in the entire project lifecycle. The process demands intense attention to detail because a single missed field or incorrect parameter can cause problems later, particularly in payroll, benefits, and compliance reporting.

In public sector contexts, these delays and inaccuracies can have serious consequences. A council that implements a new pay scale may face compliance risks if the updated rules are not reflected quickly in the documentation. A university adjusting academic staff contracts may find that documentation delays create inconsistencies between departments. Healthcare providers, particularly those in the NHS, often manage multiple union agreements and intricate shift rules, where mismatched documentation can directly affect regulatory compliance.

Manual processes are also inherently slow to scale. When multiple modules or departments are in play, each with its own configuration variations, the volume of documentation required can overwhelm even the most experienced project teams.

The Firstcron GenAI approach replaces human data entry with intelligent automation. The process begins by extracting configuration data from the live ERP environment using HDL exports, REST API queries, or BI Publisher reports. This raw configuration data is then processed by a large language model trained specifically on Oracle ERP structures, terminology, and document formats.

The model understands how configuration parameters relate to each other, how they fit into the functional design, and how they should be presented in a BR100. It doesn’t simply copy values into a template — it contextualises them, adding explanatory text and aligning them with the organisation’s preferred documentation style. The result is a ready-to-review functional specification document that reflects the most current configuration in the system.

This document is then reviewed by a consultant or ERP administrator to confirm its accuracy. Because the AI draws directly from system data, the review process is quick, often requiring only minor adjustments or clarifications. Once approved, the document is stored in a central repository, ready for audits or further project work. This cycle can be repeated as often as needed, ensuring that the BR100 always matches the live system.

In public sector projects, the value of AI-driven BR100 generation goes beyond time savings. Local governments operate under constant legislative change, meaning payroll and benefits configurations can shift rapidly. With manual methods, documentation often becomes outdated within weeks or even days. By contrast, an AI-driven approach can refresh BR100s in minutes, keeping the organisation audit-ready at all times.

In higher education, academic cycles bring predictable bursts of configuration changes — new contracts for staff, updated benefits, and revised work patterns. Generating accurate documentation in such short timeframes is nearly impossible manually, but becomes entirely feasible with GenAI.

Healthcare providers, especially those bound by complex compliance frameworks like HIPAA in the US or Care Quality Commission regulations in the UK, benefit from the precision and reliability of AI-generated documentation. Every change in shift rules, overtime policies, or payroll definitions is captured and formalised instantly, removing the lag that can lead to costly compliance issues.

Perhaps the most significant gain from moving to AI-generated BR100s is the improvement in accuracy. Human error in documentation is an inevitability in manual workflows — numbers get transposed, fields get missed, and formatting varies depending on who is doing the work. AI eliminates these inconsistencies, producing documents that are not only correct but also identically formatted every time.

This consistency has a direct impact on audit readiness. In public sector environments, where audits are frequent and can be both internal and external, being able to produce a BR100 that matches the live configuration exactly is invaluable. The time spent preparing for an audit drops dramatically, and the risk of non-compliance findings is significantly reduced.

One of the most compelling aspects of Firstcron’s approach is the reduction in time it takes to produce a BR100. Manually, it can take two to four hours to compile a single document for a single configuration area. With GenAI, the process is reduced to ten or fifteen minutes, including review time.

This is not just a matter of saving hours — it fundamentally changes the way projects are run. Functional consultants can spend more time on solution design and problem-solving instead of administrative tasks. Project managers can adjust timelines with greater flexibility, knowing that documentation updates will not cause delays. Stakeholders receive up-to-date records sooner, enabling faster decision-making.

For public sector clients in the UK and US, data security is non-negotiable. The Firstcron GenAI process is designed to operate within secure, compliant environments. In the UK, it aligns with GDPR and G-Cloud requirements. In the US, it can be implemented to comply with FedRAMP and HIPAA standards. This ensures that sensitive payroll and HR configuration data is handled appropriately throughout the process.

The AI models are also adaptable to the specific needs of each sector. Templates can be customised to include additional sections required by particular agencies, such as union agreement clauses, policy references, or local regulatory notes. This means the automation does not force a one-size-fits-all solution, but rather adapts to existing documentation practices.

The move from manual to AI-driven BR100 updates is more than just a process improvement — it represents a strategic shift in how ERP projects are delivered. In the public sector, where funding is scrutinised, timelines are tight, and compliance is critical, adopting GenAI allows organisations to reallocate resources from repetitive documentation work to higher-value activities.

For local governments, this means responding to legislative changes faster. For universities, it means starting each academic term with complete, accurate records. For healthcare organisations, it means knowing that compliance documentation will always be in sync with the system, no matter how frequently policies change.

Manual BR100 updates have long been a source of frustration in Oracle ERP HCM projects, especially in the public sector. They consume valuable time, invite errors, and often fail to keep pace with the actual system configuration. Firstcron’s Generative AI solution addresses all of these issues by producing functional specification documents directly from configuration data, with a level of speed, accuracy, and consistency that manual methods cannot match.

For public sector organisations in the UK and US — from local councils to universities and healthcare providers — this is an opportunity to improve project delivery, enhance compliance, and free up skilled staff for the work that truly adds value.

Those ready to leave manual BR100 updates behind can learn more by visiting Firstcron.