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Deployment — Scoring & Decision Engine

The same judgment, applied consistently, to every case — not just the ones someone got to first.

The scoring and decision engine applies structured decisioning to high-volume judgment calls, so specialists spend their time on the cases that actually need them, not a backlog of routine ones.

17+ years building software AI-native since 2024 120+ person team AI SDLC running in production today
Reusable core, not a bespoke build per client Same AI SDLC discipline throughout 100% human-owned decisions

Where this applies

Lending and banking

Scoring loan applications against risk models, automating approve/deny/refer decisions, and explaining outcomes for compliance — speeding underwriting while keeping risk standards consistent.

Insurance underwriting

Scoring applicant risk from medical, financial, and behavioral data, auto-approving low-risk policies, and routing complex cases to underwriters for review.

Fraud detection

Scoring transactions in real time using behavioral and pattern signals, auto-blocking high-risk activity, and routing ambiguous cases for human investigation instantly.

Hiring and recruiting

Scoring candidate resumes and assessments against role criteria, ranking applicants, and flagging top matches — accelerating shortlisting while reducing recruiter screening workload.

Healthcare triage

Scoring patient acuity from intake symptoms and vitals, prioritizing care queues, and flagging urgent cases — supporting faster, more consistent clinical triage decisions.

Collections and credit risk

Scoring delinquent accounts by recovery likelihood, prioritizing outreach sequencing, and recommending settlement terms — improving collection rates and resource allocation.

Procurement and vendor management

Scoring supplier proposals against cost, risk, and compliance criteria, ranking bids, and flagging outliers — streamlining RFP evaluation and vendor selection.

Don't see your decisioning bottleneck here? That's normal — bring it to us and we'll scope what this engine looks like pointed at it.

Why this engine

Consistency at volume.

The same standard applied to every case, not whichever standard the person handling it that day happens to use.

Specialists spend time where it matters.

Routine cases clear on their own; complex ones route straight to a person.

Explainable, not a black box.

Outcomes come with a reason, not just a score — built for compliance review, not just speed.

The same AI SDLC discipline as a full build.

A named person owns the decision model's approval — nothing scores unreviewed.

Not the right fit if...

Your decisions don't follow any consistent criteria yet — this engine needs a standard to apply, even a rough one, before it can help. That's a five-minute conversation to confirm either way.