AI-Powered Automation & Optimization
Custom AI, Embedded in your Operations. Not Another Chatbot.
RAG, vector search, custom LLMs, predictive models, anomaly detection. Built for your data, deployed in your environment, run as part of your business. The intelligence comes from us. The decisions stay with you.
Positioning
Most “AI” Today is a Wrapper Around a Chat Box. That’s Not the Work.
The vendors selling you a copilot subscription are giving your team one more place to log in. The work is still happening in the same systems, by the same people, with the same hours in the day. Real AI value lives where the work happens, not in a tab next to it.
The Off-the-shelf AI products
“Subscribe to our copilot. Train your team to ask it good questions. The chat box lives in a sidebar next to your real software.”
The team uses it twice, forgets it exists, and you’re paying per seat for software that never enters the workflow.
What we build
AI that lives inside your workflow. Reads your documents. Triages your inbox. Answers your customers’ questions with your data. Routes work to the right person automatically.
You don’t ask the AI for help. The AI does the part that doesn’t need a human, and hands off what does.
What we deliver
Four Core Deployments that Cover Most of what Teams Need.
Every project is custom-shaped, but most engagements look like one of these four. We pick the right pattern for your data and your operating environment.
RAG and Vector Store Deployments
Search and answer over your private documents, contracts, support tickets, code, and SOPs. Auditable. Citations included.
Intelligent Data Workflows and Triage Bots
Inbound emails, tickets, applications, and forms read, classified, and routed before a human sees them.
Custom LLMs Trained on your Business Data
Fine-tuned models that speak your domain language and follow your house rules. Hosted where you need them.
Predictive Modeling and Anomaly Detection
Forecasts that drive decisions and alerts that catch the issue before the customer does.
How AI ships
From “We Should Use AI” to Working in Production
Most AI projects die in proof-of-concept hell. Ours don’t. We build for production from day one, with monitoring, evals, and a rollback path before anyone clicks deploy.
01
Audit
Map the data. What you have, where it lives, what’s clean, what’s not.
02
Define
Frame the use case. Specific decision or workflow the AI replaces or accelerates.
03
Build
Working prototype. Real data, real model, real interface. Inside two to four weeks.
04
Evaluate
Test against truth. Eval set, human review, and a quality bar before production.
05
Deploy
Live in your environment with logging, alerting, and continuous eval.
Where this lands in the wild
Examples of Automation We’ve Shipped
Not exhaustive. The pattern repeats: a workflow that was eating hours becomes an agent that does most of the work and hands off the rest with full context.
Healthcare
Voice agent on a clinic’s inbound line
Books appointments, runs eligibility, and posts to the practice management system in real time. The front desk only picks up when a human is needed.
Manufacturing
RFQ intake from email to ERP draft
Inbound RFQs with PDFs and drawings parsed into draft quotes inside the ERP. Quoter prices and sends. No retyping.
Pharmacy
Legacy system automation across portals
Browser agents logged into payer and PBM portals, working accounts that previously required full-time clerical staff.
Finance
Document triage on inbound applications
Loan and underwriting applications classified, key fields extracted, and routed to the correct queue with full citations.
Restaurants
Vendor invoice reconciliation
Distributor invoices matched against goods received and POS prep counts. Variances queued for the manager with the discrepancy pinpointed.
Internal ops
Knowledge agent on private documentation
RAG over company SOPs, contracts, and product docs. Answers with citations, integrates into Slack and the existing helpdesk.
Security and compliance
Your Data Stays Yours. That’s the Architecture.
Every deployment is built so customer data never leaves your perimeter, never trains a public model, and is auditable end to end. Compliance is a default, not an upgrade.
Built for Regulated Environments
A real inventory of the back-of-house apps nobody documented. The dependencies they ride on. The data they touch. The spots where one staff turnover takes the whole thing offline.
The MSP brings us in to install automations. The audit comes for free, and turns into the next conversation.
HIPAA
PHI-safe pipelines and BAAs in place
SOC 2
Type II controls baked into delivery
VPC Isolation
Inference inside your AWS, GCP, Azure
No Model Training
Your data never trains a third-party model
Bring the Workflow.
We’ll Show You What AI Does to it.
One discovery call. We map the workflow, identify where AI moves the needle, and follow up with a scoped proposal. No twelve-page sales deck and no hand-waving about “transformation.”
