Constructional Memory Intelligence Platform
Transformed decades of archived reports, project decisions, and contractual records into a queryable enterprise memory system to reduce knowledge loss and speed up critical decision retrieval.
85-90%
Faster Retrieval
3,000+
Hours Saved/Year
20+ yrs
Archive Coverage
Enterprise
Continuity
Challenge to Solution
How we translated complex operational constraints into a clear implementation path.
The Challenge
Decades of infrastructure and EPC documentation were stored as unstructured archives
Historical decisions and technical justifications were difficult to locate quickly
Team rotation and retirements caused recurring loss of institutional knowledge
Claim and contract review cycles required heavy manual reading and cross-referencing
Risk patterns were hidden due to fragmented document access
Our Solution
Designed a knowledge graph model to map entities, dependencies, and decision chains
Built hybrid retrieval combining graph and vector search for high-precision answers
Applied domain-tuned LLM prompts for engineering rationale and clause traceability
Implemented secure ingestion pipelines for legacy reports, PDFs, and project records
Created role-based query interfaces for operations, legal, and leadership teams
Project Timeline
Delivery span: 5 months
Archive Audit
Cataloged legacy report sets, defined metadata standards, and identified priority decision domains.
Knowledge Model
Designed graph schema and retrieval logic linking entities, decisions, and contractual context.
Build & Validation
Developed ingestion and hybrid search pipelines, then validated answer quality with domain experts.
Enablement & Rollout
Rolled out production access with governance controls, team onboarding, and continuous tuning.
"What used to take days of archive digging now takes minutes, with clear evidence trails we can trust."
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