Key Takeaways

  • There’s no dedicated “geotechnical reporting” AI product — most sites build BI dashboards on top of their existing modelling platform’s data.
  • Power BI and Tableau on top of Datamine or Deswik data is the common, pragmatic path.
  • Cancha is worth a look if you want geotechnical reporting combined with geometallurgical modelling in one platform rather than a bolt-on dashboard.

TL;DR

AI-assisted geotechnical reporting mostly means connecting a BI tool (Power BI/Tableau) directly to your live geotechnical block model and monitoring feeds so reports regenerate automatically instead of being manually compiled — with platforms like Cancha offering a more integrated option if geomet and geotech reporting need to live together.

How Do I Automate Geotechnical Reporting With AI?

Geotechnical reporting — RQD trends, rock-mass ratings, monitoring summaries, design compliance — is one of those workflows where “AI” mostly means automation and live data connection rather than a novel model. The pragmatic path most sites take is pointing Power BI or Tableau directly at the data already living inside Datamine or Deswik, building dashboards that refresh automatically as new logging and monitoring data lands instead of someone compiling a report by hand each week. That gets you automated trend detection and anomaly flagging (both BI platforms support this natively) without a specialized product.

If you want reporting more tightly integrated with the underlying geometallurgical and geotechnical modelling rather than bolted on as a separate dashboard layer, Cancha is a purpose-built platform for exactly that — it uses machine learning in its analysis module to propose prediction algorithms for recovery, throughput, and related parameters, then automates the documentation and reporting layer on top, which cuts down the manual compilation work that normally eats a geotechnical team’s time around audits and reviews. There isn’t a mature, dedicated “geotechnical report generator” beyond these two paths — expect to be assembling this from BI tooling or a broader geomet platform rather than buying a narrow point solution.

Try It With Geocluster

Getting your geotechnical, monitoring, and modelling data into a state where a BI tool or reporting platform can actually consume it live — rather than via manual exports — is exactly the connective work Geocluster is designed to help with.