Executive Summary
From fragmented documents to a governed chemical intelligence system
The client's R&D and procurement teams were making high-stakes formulation and sourcing decisions based on chemical data scattered across thousands of safety data sheets, supplier catalogs, and internal notes. I led the architecture, build, and governance program for an AI intelligence platform that turned that fragmented archive into a single, searchable, audit-ready source of truth — cutting research time, standardizing hazard screening, and giving leadership traceability it never had before.
The Business Problem
The client's formulation and sourcing decisions depended on chemical property, hazard, and compliance data locked inside thousands of unstructured SDS PDFs, supplier catalogs, and scientist notebooks. Every substitute-material evaluation or supplier qualification required a researcher to manually search, extract, and cross-check data by hand, with no consistent standard for how hazard and compliance checks were applied across teams.
A baseline audit at engagement kickoff quantified the exposure: researchers spent an average of 5.8 hours per formulation decision locating and reconciling chemical data, supplier qualification cycles ran 3–4 weeks longer than the client's target, and inconsistent hazard screening had produced two near-miss compliance findings in the prior 18 months. Leadership had no auditable trail connecting a sourcing or formulation decision back to the underlying safety and compliance data — a material risk in a regulated, safety-critical industry.
The Solution
I designed and delivered a chemical intelligence platform that ingests heterogeneous sources — SDS documents, supplier catalogs, and internal R&D notes — and extracts them into a consistent, structured schema. On top of that schema, the platform provides unified search and side-by-side comparison across chemical properties, hazards, and procurement constraints, with governance-aware views built specifically for R&D workflows and procurement sourcing rules.
Every comparison and substitute-material evaluation carries full traceability back to its source document, and every hazard or compliance flag is surfaced consistently regardless of which analyst runs the query. That audit trail — not just faster search — was the requirement that got EHS and compliance leadership to champion the platform rather than resist it.
How It Works
Ingestion
Documents, supplier catalogs, and internal inputs transformed into a consistent, structured schema at scale.
Search
Fast retrieval and comparison of chemicals by property, hazard profile, and procurement constraint.
Governance
Decision-ready views that surface risk consistently and support auditable, defensible evaluation.
Architecture & Governance
The diagram below traces how an unstructured document becomes a governed, decision-ready comparison, with a mandatory EHS/compliance review checkpoint before findings are relied upon.
System Architecture — Document-to-Decision Flow
Five stages · one mandatory human checkpoint
SDS PDFs, supplier catalogs, and internal R&D notes pulled into a unified pipeline
Unstructured content converted into a consistent, queryable chemical-fields schema
Unified retrieval and side-by-side comparison across properties, hazards, and sourcing constraints
Standardized hazard and compliance flags reviewed before any finding is relied upon
Traceable evaluation and selection, ready for formulation or supplier sign-off
Traceability log runs beneath every stage — every evaluation and selection is recorded back to its original source document.
- Document ingestion and extraction pipeline that converts unstructured SDS PDFs and catalogs into structured, queryable chemical fields.
- Search and ranking tuned specifically to R&D substitution queries and procurement sourcing constraints, not generic document search.
- Comparison views purpose-built for alternative and substitute-material analysis, surfacing trade-offs side by side.
- Audit-friendly design that preserves full traceability from every evaluation and selection back to its source document.
- Governance controls: standardized hazard and compliance flags applied uniformly across every query, team, and analyst.
Business Impact & ROI
- Cut average research time per formulation decision from 5.8 hours to under 1.3 hours by replacing manual PDF search with governed, structured retrieval.
- Compressed supplier and substitute-material qualification cycles by 46%, directly shortening the client's time-to-formulation for new product lines.
- Standardized hazard and compliance screening across every team, closing the consistency gap that had produced near-miss findings in the prior audit cycle.
- Delivered a fully costed ROI model presented to the executive committee: total program investment recovered in approximately 8 weeks of production use, driven by researcher time reclaimed and faster sourcing cycles, with a 4.6x return in year one.
- Gave EHS and compliance leadership a complete, auditable trail from every formulation and sourcing decision back to its underlying safety data — closing a documented governance gap.
- Created a scalable data foundation for chemical intelligence that the client is now extending into adjacent product lines without incremental platform investment.
My Role
I owned this engagement end-to-end as the client's AI/ML leader, operating at CTO scope: I built the business case and ROI model presented to the executive committee, aligned R&D, procurement, and EHS stakeholders on success metrics (research time, qualification cycle time, screening consistency, auditability), and set the governance requirements — full source traceability and uniformly applied hazard flags — that made the platform defensible in a regulated, safety-critical environment.
I also owned the data model and extraction architecture end-to-end, from unstructured ingestion through governed search and comparison, and led the phased rollout across R&D before extending the platform into procurement. The result was not a point tool, but a governed data operating model that the client's leadership could scale, audit, and defend to regulators and the board alike.