A large language model trained on your procedures, field notes, equipment manuals, incident reports, and contract terms. Ask it anything about your operation in plain language - and get answers from your actual data, not generic AI.
Every mature operation carries an enormous body of knowledge - in equipment manuals no one reads, in field notes filed away after incident investigations, in the heads of the veterans who've been there 20 years and know exactly why that pump behaves that way. When that knowledge lives in documents scattered across shared drives, it's effectively inaccessible. When it lives in people, it walks out the door when they leave.
TMI's Operational LLM is a large language model fine-tuned on your company's specific data. Not a general-purpose AI. Not a search engine that returns ten links. A model that has ingested your SOPs, your equipment manuals, your incident reports, your contract terms, your field notes - and answers questions about your operation with the specificity those sources contain. A field tech in the middle of a job can ask why a particular sensor is reading high on that specific unit, and get an answer sourced from your actual maintenance history. A new hire can ask how your company handles a scope change on a fixed-price contract, and get the answer from your standard operating procedure - not a generic template.
The result is institutional knowledge that persists across staff turnover, that scales to every person in your organization simultaneously, and that gets more precise as your data grows.
We ingest every relevant document in your operation: standard operating procedures, equipment manuals, maintenance logs, incident reports, inspection records, field notes, contract terms, and compliance documentation. Documents are parsed, structured, and indexed - not just stored. The model understands the relationships between your data sources, not just the contents of individual files. This is the foundation that makes the answers specific rather than generic.
The base model is fine-tuned on your operational data specifically. It learns your terminology, your equipment, your protocols, and the way your organization describes and categorizes things. The difference between a fine-tuned operational LLM and a general AI assistant is the difference between asking a 20-year veteran of your company and asking a random consultant who just read the industry Wikipedia page. The answers come from your records, attributed to your sources, with your specifics - not generalities.
The operational LLM is accessible wherever your people work. Field techs query it from mobile in the field. Managers and estimators access it from desktop. It can be integrated directly into existing tools - your work order system, your dispatch platform, your ERP. Every answer is sourced and citeable: the model shows which document, which section, which record its answer comes from. It doesn't hallucinate your procedures. It quotes them.
The operational LLM is a flagship AI system - the intelligence layer that makes the rest of your infrastructure queryable in plain language.
A large language model fine-tuned on your company's data: procedures, field notes, equipment manuals, incident reports, and contract terms. Field crews and managers ask questions in plain language and get answers sourced from your actual operation. Institutional knowledge made queryable.
"The goal is not a smarter search engine. It's an AI that has read everything your operation has ever documented, understands it the way your most experienced people do, and is available to every person in your organization at once - at 2am on a remote job site or in the middle of a client negotiation."
The operational LLM has the broadest value distribution of any system we build - it benefits everyone from the newest hire to the senior operations director.
Ask about equipment behavior, fault codes, maintenance procedures, parts specifications, or safety requirements - and get answers from your actual manuals and maintenance history, not a generic knowledge base. A tech in the field at 10pm doesn't need to call someone back at the office. They query the system, get the answer from the documentation, and get the job done.
Query job history, performance data, contract terms, and cost records in plain language. "What was our average utilization on the Peterson contract last quarter?" "Which crew has the highest callback rate on HVAC compressor work?" "What does our MSA with Halliburton say about scope change pricing?" Answers in seconds from the actual data, not a report that takes three days to pull.
Onboarding time compresses dramatically when new hires can ask the operational LLM everything they would have called a veteran to ask. Your procedures, your terminology, your equipment quirks, your client preferences - all accessible on day one. The institutional knowledge of your most experienced people becomes a resource available to your newest, rather than an invisible asset that only exists in their heads.
We'll assess your current knowledge infrastructure, identify the documents and records that matter most, and show you what an operational LLM built on your data looks like in practice.
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