AI that works inside your business
Non-technical buyers don't buy “LLMs”. They buy more admissions, fewer late fees, faster procurement and fewer failed batches. We add AI to the software you already depend on — one measured pilot at a time.
Responsible AI
Five rules every AI project follows
- 01
One problem, one pilot
Fixed scope, measured against a real KPI. We scale only after you see the result.
- 02
A human approves what matters
Anything sent to customers, or that affects money or admissions, is reviewed by a person.
- 03
Your data stays yours
Demos use test or consented data. Student and personal data is handled under India's DPDP Act.
- 04
Cost tracked from day one
We measure LLM cost per transaction in every pilot, so the feature stays profitable to run.
- 05
We call it AI only if it is
Rule-based logic is labelled as automation. We publish only measured results.
AI in our products
What each product gets next
Upgrades on our roadmap, built on the data our products already handle. We label a feature as live only when it runs in a real build.
| Product | What it does today | On our AI roadmap |
|---|---|---|
| School ERP + Mobile App | Admissions, fees, exams, homework and parent communication — with AI-enabled attendance and AI grade-card generation live. | Fee-default early warning; parent query assistant. |
| Education CRM | Admission leads from JustDial, Sulekha, Shiksha, CollegeDunia and your website. | ML lead scoring; AI counsellor follow-up drafts. |
| Escalation System | Multi-level ticket routing with SLA tracking. | AI ticket classification, priority prediction, suggested replies. |
| Customer Loyalty | Points, tiers, coupons and campaigns with analytics. | Churn prediction; personalised offers from purchase behaviour. |
| Procurement Marketplace | Procurement of bought-out parts for manufacturers. | AI quote comparison; PO and invoice extraction; demand forecasting. |
| OD-SAS | Monitoring of device behaviour under controlled environmental test conditions. | Anomaly detection on test runs; automated test-report summaries. |
For schools
Admin-AI in School ERP: live today and coming next
Fee Default Prediction
Identify likely defaulters 3–4 weeks before month-end using payment history and seasonal patterns. Surface the list to your admin team before the cycle begins.
AI-Enabled Attendance
Detect anomalous absence streaks and flag students at risk — before they cross the threshold that triggers board notifications.
AI Grade Card Generation
Auto-draft personalised performance summaries from grade data. Teachers review and sign off — no blank page.
Timetable Optimiser
Resolve conflicts and optimise room utilisation across 40+ subjects and 60+ teachers. What currently takes a week takes an afternoon.
Natural Language Queries
Ask in plain Hindi or English: "How many students were absent last week in Grade 8?" — get an instant answer, no reports to run.
Predictive Enrollment Analytics
Model next-year enrollment from application trends, sibling data, and catchment area signals. Plan staffing 6 months ahead.
Exam Performance Insights
Identify which topics or teachers correlate with under-performance across cohorts — surface insights the marksheet alone cannot show.
Finance Anomaly Detection
Flag unusual patterns in concession grants, discount clusters, and late-fee waivers before the audit cycle.
Questions
- Is Friensys AI available today?
- Not yet. These features are on our active roadmap. We're building on top of operational data already flowing through Friensys ERP — no new integrations required when they ship.
- Will AI features cost extra?
- We haven't finalised pricing. For schools onboarding now, we plan to include foundational AI features in the standard tier. Contact us to discuss early-access terms.
- Does AI access student personal data?
- No AI feature will process individually identifiable student data without explicit consent controls. All models will operate on aggregated or anonymised data by default.
- How is this different from Kaksha or other ed-tech AI?
- Competitor AI targets the student experience — adaptive learning, doubt resolution. Friensys AI targets the admin layer: forecasting, compliance, operational efficiency. Different buyer, different problem.
Not sure where AI fits yet?
The AI Opportunity Audit names your top three use cases, their expected impact, cost and the data each needs — in writing.