Evidence over
empty promises.

The client managed 15+ concurrent infrastructure projects with 50,000+ documents flowing through their system monthly. Document classification, routing, and retrieval consumed 3 full-time document controllers. Critical RFIs were delayed because the right documents could not be found quickly enough.

Kresto implemented an AI document classification and retrieval system that: (1) automatically classifies incoming documents by type, project, and discipline using NLP, (2) routes documents to the correct project team within minutes instead of hours, (3) provides instant semantic search across the entire document library. Deployed in 8 weeks.

Document processing time reduced by 70%. RFI response time improved from 72 hours average to under 12 hours. Two document controller roles were redeployed to higher-value project coordination work. The client estimated $240,000 annual savings in labour costs alone.

The client's project managers spent 10-12 hours every week compiling status reports from 4 different systems. Reports were consistently late, contained copy-paste errors, and consumed the most experienced PMs who should have been managing risk instead of formatting tables.

Kresto deployed a three-phase automation: (1) data extraction layer pulling live data from Procore and SharePoint APIs, (2) AI-powered narrative generation that converts raw metrics into readable project commentary, (3) automated distribution via email and dashboard. Built in 6 weeks with zero disruption.

Weekly reporting time dropped from 12 hours to under 2 hours per PM. Report accuracy improved from 85% to 99%+. The 3 senior PMs recovered 30 hours/week collectively. The client estimated $180,000 annual savings across the team.