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.
Network redesign stalled as costs were stale, site constraints inconsistent, and each scenario lived in a bespoke spreadsheet. We unified transportation, warehouse, and rate data in a governed model and built a Python engine to generate feasible designs with approvals. Reviews focused on tradeoffs with less rework.
IPO readiness dragged as policies in Box, control tests in AuditBoard, and close evidence in BlackLine lived apart, with mismatched IDs and dates. We centralized governed packages in Workiva with role-based approvals, shared calendars, and checks. Evidence was consistent, gaps fewer, audits smoother.
Brand sentiment work stalled as social, review, and call transcript signals lived apart and teams reconciled anecdotes. We built a BigQuery-based pipeline with masking, normalized topics, and a retrieval-augmented large language model (LLM) that cites sources. Strategy and Marketing aligned faster and avoided misreads.
Plans shifted as supplier capacity, engineering changes, and incentive dates lived in separate trackers, turning reviews into reconciliations. We unified portals, Product Lifecycle Management (PLM), and public incentives in an Anaplan roadmap with approvals and exception flags, producing earlier conflict alerts and steadier plans.
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.
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.
Growth strategy stalled as yield and climate metrics arrived from scattered sources with mismatched geographies. We built a governed pipeline uniting satellite imagery, Internet of Things (IoT) sensors, and ERP sales with quality checks and agronomist sign-offs. Leaders saw clearer trends, fewer dubious metrics, and faster decisions.
Backlog prioritization was guesswork as Procore, customer pipeline, and finance actuals didnt tie out, spawning competing spreadsheets. We unified them in Snowflake, encoded profitability and risk scores, and added a weekly approval workflow. Reviews focused on choices, with fewer conflicts and less rework.
Manual reads of filings and auction terms caused inconsistent interpretations and late edits. We implemented a retrieval?augmented generation (RAG) layer across Federal Communications Commission (FCC) filings and engineering outputs, with Legal and Engineering approvals. Briefs came cited and consistent, reducing misreads.
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.
Share you're email and a human agent will contact you.
