What people ask us.

AgenticBricks specializes in healthcare, pharmaceutical, and manufacturing and supply chain industries. These are environments with strict compliance requirements (GxP, 21 CFR Part 11, Annex 11), complex data models (HL7/FHIR, MES, ERP), and operational continuity demands where system downtime or data integrity failures have real financial and regulatory consequences. Our team has worked inside these organizations and understands the operational realities that generic technology consultants typically learn on the client's timeline.

Most technology consultants learn your industry during the engagement, on your timeline and budget. AgenticBricks already knows it. Our team has direct experience with GxP validation, 21 CFR Part 11 compliance, FDA inspection readiness, MES and WMS operations, ERP modernization, and supply chain data complexity. That domain knowledge eliminates the multi-month discovery phase that typical engagements require. We spend less time getting up to speed and more time solving the actual problem. Read about how this played out in our pharma engagement and our supply chain modernization.

Custom SaaS is a delivery model pioneered by AgenticBricks. Instead of commissioning a custom software build that depreciates after delivery, clients subscribe to a purpose-built platform that AgenticBricks owns, operates, and continuously improves. CapEx becomes OpEx. In regulated industries, this is particularly valuable because a validated platform built once can be deployed across multiple sites or business units without revalidation. It also aligns incentives: because we operate the system long-term, we are motivated to build it well. Learn more on our Custom SaaS service page.

AI-Assisted Engineering is AgenticBricks' approach of embedding AI tools directly into the engineering process as a structural part of how code is written, reviewed, tested, and documented. This is not autonomous code generation. Our process includes deep system analysis before any code changes, documentation organized for human review, near-100% automated test coverage, codified engineering standards, and continuous validation. The AI writes code that engineers have specified, scoped, tested, and reviewed. The origin of the keystrokes matters less than the engineering process that governs them. Read our detailed breakdown in Why AI Coding Fails or visit our AI-Assisted Engineering service page.

AgenticBricks modernizes legacy systems including LIMS, MES, EHR, ERP, document management, and custom operational applications. Our approach includes end-to-end system assessment, dependency mapping, phased migration planning, and validation-aware delivery. In healthcare and pharma, this means phased, documented migrations built to survive an FDA inspection. In manufacturing and supply chain, it means zero tolerance for unplanned downtime during transition, with parallel runs and rollback plans. See our Enterprise App Modernization service page for details.

In most cases AgenticBricks has examined, poor AI code quality traces to process, not tooling. Specifically: the absence of codified standards for the AI to follow, the absence of tests for it to validate against, and the absence of human review with the same rigor applied to any other code contribution. When we onboard AI into an engagement, we establish all three before generating production code. We also direct the AI to validate its own output against the test suite before any human reviews the diff. The output quality reflects the process that governs it. We wrote about this in detail in Why AI Coding Fails and AI Coding Tools Are Breaking Things Faster Than They Build Them.

Yes. AgenticBricks uses the same approach for AI-built systems as for any legacy modernization. We start by understanding what the system does today: generating documentation, mapping dependencies, and building a test suite against current behavior. Once there is a regression safety net, we can refactor, add features, and evolve the system safely. The age of the code and who wrote it (human or AI) does not change the structural requirements for safe evolution.

Not when done within a structured process. At AgenticBricks, security and compliance requirements are codified in the AI's configuration. SAST and DAST run as part of the validation loop. Code review applies the same scrutiny regardless of whether a human or AI wrote the code. We work in regulated industries (pharma under 21 CFR Part 11, healthcare under HIPAA, manufacturing under GMP) where compliance is not optional. Our AI-assisted engineering process was developed specifically in that context.

Yes. AgenticBricks has deep experience with GxP validation, GAMP5 methodology, 21 CFR Part 11, Annex 11, electronic batch records, and FDA-inspectable documentation. We build validation-aware systems from day one, not systems that get retrofitted for compliance at the end of a project. We know what an audit finding costs and what an FDA inspection requires. We build accordingly. Read about how this applies in practice in our pharma case study and our work on zero-egress research enclaves for healthcare PHI.

AgenticBricks designs every modernization with operational continuity as a constraint, not an afterthought. In manufacturing and supply chain environments, this means phased delivery, parallel runs, rollback plans, and awareness of seasonal load patterns. In healthcare and pharma, it means validation-aware migration that accounts for QA-led change control, audit trail requirements, and system interdependencies. We understand that a system outage during peak operations is not an IT ticket. It is a revenue event.

Timelines depend on scope and complexity. AgenticBricks delivered a pharmaceutical production system from an empty repository to production in three months, a timeline that typically takes twelve to eighteen months in pharma. For legacy modernization, our AI-assisted tooling compresses the discovery phase from months to weeks. The combination of domain knowledge, engineering experience, and AI-assisted development produces measurable acceleration in the work that typically takes the longest.

Contact us directly. We prefer to start with a concrete conversation about your system, constraints, and timeline rather than a generic capabilities deck. We can often demonstrate relevant understanding of your environment within the first conversation because we have worked in these industries before.