Diagnose
Models read your transaction history — quotes, deductions, contracts, order logs — and surface where margin quietly leaks away.
Anomaly detection on chargebacks, discount creep and price gaps, ranked by revenue impact.
AI Gateway
AI with a job description: move your revenue.
Every Netyield.ai engagement pairs a subject-matter expert with an AI consultant. This page explains what the AI actually does — which models we use, where they run, who trains them, and the guardrails that keep every output accountable.
Where models earn their keep
Four jobs. No AI theater.
Predict
Forecasts your teams can plan against: demand by channel, churn risk, price response and capacity yield.
Retrained on your live data every cycle, with confidence ranges — never a single false-precision number.
Generate
Drafts the work product your experts used to build by hand: deal pricing proposals, next-best-action guidance, playbook steps.
Your specialist reviews and approves every output before it reaches a customer or a rep.
Monitor
Always-on watchers for the numbers that matter — controls, exceptions, leakage signals — cleared before audit season, not during it.
Exceptions routed to named owners with evidence attached, audit-ready on demand.
How AI is wired into an engagement
Experts first, AI second — in that order, every time.
1
Your experts teach the model
We start from your subject-matter experts' judgment — which contracts leak, which deals are real, which margins hold. The AI consultant encodes that knowledge into prompts, rules and training data so the model learns from the people who know.
2
The model runs at your premises
Solutions are deployed inside your systems and cloud boundaries — your data stays where your policies say it should. Nothing leaves your walls that shouldn't, and every model decision is logged where your auditors can read it.
3
Humans stay in the loop
AI proposes, your people dispose. Every pricing call, every flagged exception and every generated draft passes through a named human owner before it acts — and their feedback retrains the models each month.
4
You keep the keys
At handover, your team owns the models, the prompts and the pipelines. We document everything and train your people to run it — the upside stays on your side of the wall.
Guardrails behind every model
The rules we won't bend, even for a bigger lift.
Your data, your boundary
Engagements run inside your systems and your cloud tenancy. Client data is never used to train models for anyone else.
Human-in-the-loop by design
No model acts on a customer, a price or a payment without a named human approving it. Judgment stays with your experts.
Explainable, not black-box
Every recommendation carries its reasoning and the data behind it — in language your pricing manager, not just a data scientist, can read.
SoX & GxP audit-ready
Immutable, time-stamped logs for every model action, change control on every prompt and retraining run, computer-system validation aligned with 21 CFR Part 11 where regulated processes touch AI.
Try it yourself
See a model draft opportunities for your business, right now.
Our AI opportunity finder runs on the same approach we bring to engagements: describe your business area and revenue challenge, and it drafts four tailored improvement opportunities our experts can validate with you.
Want this running inside your walls?
Tell us your business area and revenue challenge — we'll scope an engagement where the AI works for your experts, at your premises.