Shortage escalations sprawled across emails, with teams manually reconciling Advanced Shipping Notices (ASNs), inventory, and allocations. We deployed a collaboration bot and orchestration that compiled facts, proposed governed options, and captured approvals. Decisions came sooner and commitments held.
Engineers bypassed procurement, Non-Disclosure Agreements (NDAs) lagged, and requests for quotation varied, risking leaks and rework. We introduced an agile workspace with automated NDAs, guardrailed quote drafting, and sample tracking. Speed held, confidentiality stayed intact, and sourcing records were complete.
Contract drafts reused legacy text, causing inconsistent indemnity and liability terms and late legal edits. We set up a governed clause library, added AI?assisted comparison in Microsoft Word, and enforced exception routing in the Contract Lifecycle Management (CLM) system. Language stayed consistent and rework eased.
Social care replies lagged as Sprinklr lacked customer context and agents toggled tools. We integrated secure Salesforce lookups into a Sprinklr panel and added a policy-guided copilot with human approval. Agents answered faster with consistent language, fewer escalations, and clear audits.
Lifecycle emails stayed generic because Braze couldnt pull recommendations and copy was hand?tuned each send. We proxied BigQuery recommendations into Braze and added a governed Artificial Intelligence (AI) copy chooser with policy guardrails. Messages became relevant, on?brand, and easier to iterate safely.
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.
Quarterly reviews slipped as teams pasted screenshots from different calendars and debated definitions. We automated metric ingestion to a Databricks lakehouse, added a retrieval?augmented copilot and a Vice President approval step. Cadence steadied as edits focused on choices.
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.
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.
Market entry lagged as actuarial outputs, regulatory text, and partner coverage sat in silos with late Legal review. An AI copilot cited Statistical Analysis System (SAS) and National Association of Insurance Commissioners (NAIC) sources and enforced a Legal gate, yielding consistent drafts and less rework.
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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