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Enterprise AI

AI that pays for itself — in production

No pilots that quietly die. These are AI systems we've shipped into live enterprise operations, each tied to a metric that moved. Here's the work, and the method behind it.

6

AI engagements shipped

6

industries, live models

8ms

fastest in-production decision

Delivered engagements

Six ways AI already earns its keep

Finance — Real-time fraud detection that decides in 8 milliseconds
Finance

-41%

fraud loss

Real-time fraud detection that decides in 8 milliseconds

We replaced a nightly rules batch with a streaming ML model that scores every transaction in real time — cutting fraud loss 41% while false positives fell.

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Retail — A personalization engine that lifted average order value 18%
Retail

+18%

avg order value

A personalization engine that lifted average order value 18%

Generic bestseller lists became real-time, per-shopper recommendations served consistently across web, app, and email.

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Healthcare — Ambient clinical notes that gave doctors their evenings back
Healthcare

-40%

charting time

Ambient clinical notes that gave doctors their evenings back

An ambient scribe listens to the visit and drafts a structured note the clinician approves in one tap — written straight into the EHR.

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Logistics — Predictive ETAs that cut 'where is it?' calls by 92%
Logistics

-92%

WISMO calls

Predictive ETAs that cut 'where is it?' calls by 92%

Static delivery windows became live, per-stop ETAs that update every few minutes and warn customers before a delay happens.

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Hospitality — An AI copilot that halved average handle time
Hospitality

-48%

handle time

An AI copilot that halved average handle time

Agents got a real-time copilot that drafts replies, pulls the exact policy, and writes the call summary the moment they hang up.

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Travel — Document intelligence that cleared a 40,000-file backlog
Travel

-70%

processing time

Document intelligence that cleared a 40,000-file backlog

A multimodal model reads visas, passports, and booking forms, extracts the fields, and routes only the uncertain ones to a human.

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The method

How we keep AI honest

01

Use-case audit, not a tech demo

We start from the workflow and the P&L line it moves, then pick the smallest AI intervention that pays back fastest.

02

Data & evals before models

Grounding, retrieval, and an evaluation set are built first — including the cases where the right answer is to escalate to a human.

03

Agents with guardrails

Tools are typed and rate-limited, outputs are cited and verified, and destructive actions require confirmation. Boring plumbing, on purpose.

04

ROI you can see

Every engagement is instrumented so the time and cost saved show up as a number, not a slide — and the model keeps learning from review.

Find the AI that pays for itself first

A free 30-minute audit maps your workflows to the highest-ROI AI intervention — with an honest read on what's ready now and what isn't.

Book a free AI audit