Twelve industries, one mechanism.
What decides whether an agent works is not your industry label — it is whether the work has a source of truth, a countable outcome, and a reviewer in the loop. Find the page whose unit of work looks like yours.
Three-agent product advisor guiding customers through print-order configuration.
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Supply chain intelligence agents reducing manual coordination overhead.
Production AI workloads moved to new hardware for on-prem LLM deployment.
AI agent implementation for a global automotive enterprise.
Text-to-workflow agents building validated node graphs inside the platform.
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HIPAA-compliant guideline-executing triage — 44% to 98% on the open 50-scenario benchmark.
Read case studyOrder configuration, catalog scale, POD operations
Product data, on-site search, order configuration
Providers, payers, and clinical workflows
Agentic features shipped inside your own product
Close, reconciliation, claims, and underwriting
Exception routing across purchase and vendor documents
Engineering and production workflows that close the loop
Answers from your docs, handoffs with context attached
Assortment, merchandising, and store operations
RFIs, submittals, and field report synthesis
Shift decisions traced back to their source layer
Assessment work with a cleared reviewer as the gate
Field data, yield planning, and equipment records
Engineering documentation and dealer operations
Course content, admissions, and learner support
Asset records, outage handling, and compliance reporting
Casework, records, and citizen correspondence
Ticket triage, runbooks, and change records
Freight documentation, warehousing, and 3PL coordination
Archive retrieval, rights checking, and production workflows
Listing data, lease documents, and property records
Sensor data, permits, and municipal service requests
Provisioning, field activation, and error handling
Booking exceptions, itinerary changes, and traveller support
Four published deployments across commerce, engineering software, healthcare and media. Where an industry page has no direct engagement yet, it says so and points at the closest of these instead.
Three agents and 15 tools walk customers through print-order configuration, across more than a billion product combinations.
~20% → ~40%conversion to a final sale
96%+web-to-print orders handled end to end
The agent drafts each workflow and checks it in several steps before it runs, so engineers skip hours of setup.
2 hrsto prepare a workflow by hand
3 minto generate one with the agent
The model answers the assessment questions. The guideline decides the disposition, the same way every time.
44% → 98%accuracy, raw LLM vs guideline-executing
94%weighted F1 across 591 scenarios
A bilingual English/Arabic agent supporting ARIJ Network in training investigative journalists, answering from ARIJ's own knowledge base, in English or Arabic.
EN + ARone agent answering in English and Arabic from ARIJ's own materials
2languages, English and Arabic, from one knowledge base
Talk directly to our founders and PhD AI engineers. Describe the workflow and we will tell you whether it has the shape an agent can handle — including when the honest answer is that it does not.
A 30-minute call maps the source of truth, the review boundary, and a realistic path to an agent your team will actually trust.