Every engagement is measured against one standard: did it pay for itself? Here's what that looks like across hospitality, professional services, and healthcare.
Three resort properties generating three separate sets of reports. Twenty-two staff hours every week spent manually compiling occupancy data, vendor invoices, and guest feedback — then consolidating it into something leadership could actually read. The GM was making decisions on Tuesday about last week's operations.
What We DidMapped the entire reporting workflow, eliminated three redundant processes, and built an automation layer connecting their PMS and accounting software to a custom AI summarization model. Leadership now receives a one-page AI-generated operations brief every morning at 7am — zero manual effort from the team.
Losing 6–8 partner hours per new client engagement to manual document review, data entry, and compliance checklist completion. Three partners with three different opinions on AI. Two vendor demos that left them more confused than when they started.
What We DidRan a full AI Strategy engagement — 11 opportunities identified, 4 prioritized, financial model showing $280K in value from the top two. Implemented an LLM-assisted intake system that auto-extracts client document data, pre-populates their practice management software, and flags compliance gaps before a partner ever touches the file.
Four clinic locations with fragmented IT systems, two vendors who didn't talk to each other, zero infrastructure documentation. The practice administrator was spending 30% of her time firefighting technology problems. Pre-authorization denials were bleeding revenue and patient goodwill.
What We DidFull infrastructure audit, vendor consolidation, system standardization across all four locations, and proactive monitoring that catches issues before staff notices them. Layered in AI-assisted scheduling optimization and automated insurance pre-authorization triage — cutting denial rates and freeing clinical staff to focus on patients.
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