Hiring tools, field AI, attrition prediction, and capability building — built exclusively for India's NBFC lending sector. One partner. End-to-end.
Trusted by leading BFSI institutions across India
Tell us your challenge. We will show you exactly which intervention fits your team size, segment, and budget — no pitch, just a straight conversation.
Founded by practitioners who spent years inside NBFC branches before building products for them. We understand the field because we have worked in it.
C.R.A.F.T Academia was built on one conviction — that the only real variable in branch performance is the people inside the branch. Not the product. Not the geography. The people.
Every tool we have built — from hiring assessments to field AI to attrition prediction — is designed to make those people more effective, more stable, and more productive. Training is one part of that system. Not the whole of it.
120+ courses per lending vertical — Collections, Credit, Sales, Compliance, Softskills, Management Development, and Vedic Wisdom workshops. Common library across MSME Lending and Affordable Housing Finance.
When your field staff hit a wall on the ground — a product query, a compliance doubt, a customer objection — sahAIta gives them the right answer instantly. In their language. Without calling the office.
A loan officer meets a customer. A credit question comes up they were not trained for. They call the branch manager — who is in a meeting. They guess. They lose the file, or give wrong information that comes back as a complaint.
This happens dozens of times a day across every branch. It costs files, compliance, and credibility.
We set up the demo using your actual product context — answers specific to your NBFC, not a generic script.
An attrition prediction and intervention system built for NBFC field sales organisations. Identifies flight risk months before the resignation — and tells you exactly what to do about it.
100%+ annual field sales attrition is industry standard in Indian NBFCs. Most organisations only know an RM is leaving when the resignation arrives. By then, the pipeline is gone, the relationship is gone, and the replacement cycle starts again.
The costliest case — a high performer planning to leave — shows no obvious signals until they have already accepted another offer.
We will walk you through a demo using anonymised field data — so you see exactly what BHS surfaces and how the intervention engine works.
Two assessment tools built for NBFC frontline hiring — one for fresher roles, one for lateral hires. Both designed to reveal actual behaviour before the offer letter goes out.
Gut-feel hiring and generic aptitude tests cannot tell you how a 21-year-old will behave under field pressure, handle rejection, or stay motivated without supervision. Interviews can be coached. Behaviour cannot.
Pratham Smart Hire uses an animated Hindi scenario-based story — not a test — to reveal actual behavioural fit before joining.
A lateral hire with 3 years of experience knows what to say in an interview. Their CV looks right. Their references check out. But behavioural fit for your culture, your pressure, your management style — that is invisible until they have been on payroll for 60 days.
Pratham PsychScreen is a psychometric assessment calibrated for NBFC field roles — revealing how a lateral hire will actually behave, not just how they present.
Tell us your hiring volume and segment. We will show you how Pratham can be deployed for your team within a week.
On a fixed monthly retainer, we run your NBFC's complete Learning & Development function — content, delivery, coordination, and reporting. You focus on business. We handle the learning.
HR is stretched thin. Training happens ad-hoc — whoever is available runs the induction. Compliance training happens just before the audit. Product training is a WhatsApp forward.
The result: uneven capability across branches, compliance gaps, and new joiners who become productive too slowly.
Tell us your team size, segment, and biggest training challenge. We will propose a scope within 48 hours.
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