From first call to full handover — one flow.

Every Netyield.ai engagement runs the same twelve weeks: your inquiry, a diagnosis of where yield leaks, your SMEs training the AI models, a measured pilot — and a handover that leaves your team, not us, holding the keys.

Six phases, twelve weeks

Timings flex with scope — the sequence doesn't.

Inquiry & fit call

Day 0

You tell us your business area, your revenue challenge and where you want the engagement to run. Within two business days you're on a call with an engagement lead and a specialist from your domain — not a salesperson.

One short inquiry form — business area, challenge, premises
A specialist from your exact business area joins the first call
We agree scope, success metrics and who from your side is involved

Yield diagnosis

Weeks 1–2

The specialist and AI consultant map your yield levers where the money actually moves: pricing, deductions, channel incentives, capacity, contract terms. You get a baseline and a ranked list of opportunities before any build starts.

Data read inside your systems — nothing leaves your walls
Every opportunity ranked by revenue impact and effort
A shared target: the number on the P&L we're moving together

Data & premises setup

Weeks 2–3

We stand the workspace up at your preferred premises — your cloud, your on-prem, or a dedicated environment. Access is scoped to the minimum needed, and every data flow is documented for your SoX and GxP auditors.

Deployment inside your environment, per your policy
Least-privilege access, documented and revocable
Validation and change-control baseline set before training starts

AI model training with your SMEs

Weeks 3–6

Your subject-matter experts teach the models. The AI consultant extracts their judgment into rules, labels and examples; the models learn on your data, and every correction your experts make flows back in.

Extract → teach → correct → retrain, with your experts at the center
No model learns from data your team hasn't reviewed
Every training run versioned, tested and logged for audit

Pilot & build

Weeks 6–10

The solution runs in parallel with your current process — real decisions, real revenue, old process still in place. We measure the lift against the baseline from the diagnosis, tune, and only then widen the rollout.

Parallel-run validation before anything replaces an existing process
Lift measured in revenue against the agreed baseline
Rollback safety at every step — nothing irreversible

SME handover

Weeks 10–12

Your team takes the keys. We document everything, train your people to run and retrain the models, and stay on call while they build confidence. The knowledge, the data and the upside stay inside your walls.

Runbooks, model cards and retraining procedures handed over
Your SMEs certified on daily operation and monthly retraining
We remain on call for support — you keep ownership and upside

What handover means

When we leave, everything stays.

Runbooks & model cards

Plain-language docs for every model: what it does, what data it reads, how to retrain it, who owns it.

Trained SMEs

Your people run the daily loop — reviewing outputs, correcting, feeding the retraining cycle.

Audit-ready records

Training logs, validation evidence and change-control history, ready for SoX and GxP review.

A measured baseline

The yield lift you gained, the metrics behind it, and the dashboard to keep watching it.

We don't sell licenses or lock you into a platform. The models, the training data and the improvements belong to your business from day one — including the ones we had nothing to do with.

Ready to start at phase one?

Tell us your business area and revenue challenge — the fit call costs nothing and you'll speak to a specialist, not a salesperson.

Start an inquiry Try the AI opportunity finder