The reliable spine
The non-AI spine is the source-linked workflow: clean records, rules, calculations, integrations, exception queues, approvals and reporting for Old-gold purchase and melting-loss control.
Jewellery & Gems
Old-gold purchase and melting-loss control
Old gold comes in at the counter and is bought on a purity test, a weight and a purity-adjusted rate, then melted and refined with a loss. If the spread is wrong or the melting-loss is accounted loosely, the firm buys metal badly and loses gold in refining, a quiet recurring leak nobody totals.
Who has it
The retail jewellery showrooms most of all, for old-gold exchange at the counter, the karigar and job-work units for refining and melting, and any house buying back metal.
What we build
A standardised old-gold intake (purity test, weight, purity-adjusted rate), and an automated valuation and melting-loss reconciliation against the refining norm, so the firm buys at the right spread and accounts the refining loss correctly. It sits next to the karigar sweep-recovery work in leak recovery.
What is automated, where AI helps, who signs off
Automation for the routine. A person on every decision that matters.
Where AI helps
AI is limited to bounded reading, extraction, matching, clustering or drafting from the firm's own data for Old-gold purchase and melting-loss control; it never owns the number, the approval, the promise or the decision.
Who signs off
A named person signs off anything touching money, stock, a customer promise, a regulated filing, a payment, a price, a credit decision or a people decision.
What changes day to day
Old gold is bought at a disciplined spread instead of by feel; refining loss is reconciled against the norm; a quiet recurring leak is closed.
Illustrative outcome
A tighter old-gold spread and correctly-accounted refining loss. Illustrative; final numbers come from your own data.
Illustrative; final numbers come from your own data.
Path to the build
How this one gets built.
Book a free 60-minute call, then a free Blueprint on the firm's own records. Deep-dive and build, followed by run and govern so the workflow keeps paying back.
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What tends to pair with this one.
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