Postmortems and evaluations were scattered across Confluence and Box, so teams repeated mistakes and strategy leaned on anecdotes. We built a vector search knowledge base with governance approvals and automated anonymization. Leaders surfaced comparable cases quickly and reused lessons with cited evidence.
Workforce strategy stalled as Workday roles, LinkedIn Learning records, and unit skill lists didnt align, forcing manual searches. We set a governed skills ontology in Collibra, mapped roles and learning into Snowflake with data build tool (dbt), and added permissions?aware search. Talent moves became clearer and more consistent.
Branch transformation stalled as ATM telemetry, mobile analytics, and demographics lived in silos with mismatched cut?offs and personally identifiable information (PII) risk. We unified feeds in BigQuery, applied Data Loss Prevention (DLP) masking, and delivered one Looker view with approvals. Reviews aligned faster with shared facts and safer sharing.
Divestiture stalled as documents were scattered, redactions inconsistent and buyer questions and answers (Q&A) tracked in spreadsheets. We added a governed workflow with automated classification and redaction, role-based access, and a secure Q&A portal. Diligence ran cleaner with fewer errors and smoother checkpoints.
Artificial Intelligence (AI) pilots advanced without oversight, approvals came late, and usage lacked a central inventory. We added a ServiceNow intake, an Azure Machine Learning registry, and policy gates for data residency and sensitive data. Rollouts became controlled, auditable, and saw fewer violations.
Strategic plan updates lagged as drafts diverged in email and manual redactions delayed Freedom of Information Act (FOIA) releases. We set up a SharePoint workflow with managed metadata, automated sensitivity/redaction, role-based approvals, and a status view, enabling quicker reviews and safer public packages.
Suppression lists diverged across Klaviyo, Shopify, and Meta, leading to retargeting of unsubscribed customers and constant manual scrubs. We implemented a Segment?based consent pipeline with real?time syncs and mParticle governance. Audiences aligned across tools, escalations eased, and rework fell.
An AI metrics copilot returned inconsistent answers and exposed personal data because it queried mixed sources without guardrails. We limited retrieval to certified data marts and endorsed models, enforced security and redaction, and added an approval queue. Executives got consistent answers with safer access.
Committees stalled as enrollment, peer, and accreditation data sat in silos, producing stale, conflicting packets. We added a retrieval?augmented generation (RAG) layer with role?based access and an approval step. Reviews aligned faster with clear citations and traceable decisions.
Telemedicine expansion planning stalled as manual reports carried protected health information and inconsistent definitions. We built a de?identified pipeline on Google Cloud with Data Loss Prevention, delivered cohort summaries in Looker, and gated access via Okta. Strategy got safe consistent views and faster reviews.
Intelligex helps organizations achieve measurable digital transformation without disrupting how their teams work. We design and build secure, outcome-driven systems, often behind the scenes, that improve speed, scalability, and cost by at least 5× within weeks, not years.
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