PREECURSOR
AI consulting

AI consulting, by use case

The applied-AI services we build most — chosen by the problem they solve, not the industry they sit in. Each one is a production system we ship and prove.

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Pick the problem

Start from the outcome you need to move

Most engagements begin with a single, sharply-defined problem — a backlog to clear, a loss to stop, a queue to drain. These are the applied-AI use cases we put into production most often. Each page covers the problem, exactly how we build it, and the result we hold ourselves to.

Use caseFraud & AML detectionDetection systems that catch more real fraud, flood analysts with fewer false alarms, and stand up to the second line of defense.
Use caseDocument & data extractionPipelines that turn messy documents into structured data you can trust — with validation and provenance, not just a parse.
Use caseCustomer support copilotsSupport AI that resolves real tickets and briefs your agents — grounded in your own policies, with clean handoffs when it shouldn't.
Use caseDemand forecastingForecasts that beat last year's average — probabilistic, explainable, and wired into the planning decisions they're meant to drive.
Use caseUnderwriting & creditUnderwriting copilots that compress the read on a deal — spreading, memo drafting, and exception-spotting with every figure cited.
Use caseClinical documentationDocumentation AI that gives clinicians their evenings back — accurate notes, correct coding, and an audit trail the compliance team trusts.
Use casePredictive maintenanceModels that flag a failure before it stops a line — turning sensor and maintenance history into work ranked by downtime risk.
Use caseKnowledge retrieval (RAG)Retrieval-grounded assistants that answer from your own knowledge — cited, current, and aware of who's allowed to see what.
Use caseContent generationContent pipelines that clear the backlog without going off-brand or off-fact — generation with the guardrails enterprises need.
Use caseContract & policy reviewReview AI that reads contracts against your playbook — surfacing the risky clauses and deviations a reviewer would otherwise hunt for.
Use caseAgentic workflow automationAgents that carry multi-step work across your systems end to end — bounded, evaluated, and observable enough to trust in production.
Go deeper
PillarAI consultingStrategy and production engineering in one continuous engagement — the full picture of how we work.CapabilitiesThe disciplines we bringFrom first diagnostic to production scale — strategy, applied builds, agentic systems, evaluation, and MLOps.

Tell us the problem you need to solve

Bring us the use case. We will tell you what we would build, how long it takes, and what it is worth.

See our work