Job intake
Convert customer requests, scopes, locations, hazards, and deadlines into structured jobs.
We build internal AI products that move service requests through crew and equipment assignment, field documentation, compliance analysis, reporting, and invoicing.
We begin with the operating reality, then design the product around the people, decisions, rules, and evidence already in the work.
Convert customer requests, scopes, locations, hazards, and deadlines into structured jobs.
Coordinate people, vehicles, equipment, disposal requirements, and site constraints.
Guide teams through required photos, readings, manifests, notes, and signatures before leaving the site.
Analyze monitoring data, assemble the report, flag missing evidence, and prepare an invoice-ready package.
Not a standard product you have to work around. A focused operating layer that can connect the tools and data you already use.
A consistent job record built from emails, forms, PDFs, and customer calls.
Resource-aware scheduling with conflicts and requirements surfaced early.
Mobile checklists and evidence capture shaped to each job type.
Draft reports from approved data and route every exception to a human reviewer.
These are study results, not forecasts for your business. We use them to establish plausibility, then model your ROI from your own volume, time, labor cost, error rate, and throughput.
Average result in a real-world deployment across 5,179 customer-support agents; less-experienced workers saw gains up to 34%.
NBER field study ↗A Harvard/BCG field experiment also found more than 40% higher quality on knowledge-work tasks inside the AI capability frontier.
Harvard Business School / BCG ↗Average firm-level effect in a 2026 BIS/EIB study of more than 12,000 non-financial firms adopting AI with complementary investment.
BIS / EIB study ↗We’ll show you the internal AI product that can simplify it.
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