An anonymized engagement from our education-technology delivery network: embedding directly with a School ERP provider to turn years of dormant data into an AI-powered feature, with success defined and tracked before a line of code was written.
The customer is a School ERP provider serving schools across India, sitting on years of accumulated academic, attendance, and administrative data with no analytics layer built on top of it. This account is presented anonymized and as a representative pattern — it reflects an active adoption plan with agreed baseline and target KPIs, not a completed, independently audited case study.
Years of grades, attendance, and administrative records had accumulated with no advanced analytics layer — the data offered no actionable insight to schools or parents, and its value sat unrealized.
Schools switch ERP providers on a roughly annual cycle. Without a differentiated, parent-facing intelligence feature, there was no demand-driven reason to stay — and churn ran at around 15% a year.
The delivery model here is the same "engineers embedded in your environment" pattern described on this page — but the artifact this engagement produced is a documented, KPI-anchored adoption plan, negotiated jointly with the customer before build work started.
Rather than starting with a feature list, the engagement started with a baseline-to-target KPI table across school operations, parent engagement, and business outcomes — each tied to a specific measurement method (help-desk ticket volume, platform analytics, contract renewal tracking) so progress could be reported the way an SLA gets reported.
Conversational insight generation for school administrators, a natural-language Q&A feature for parents, predictive flagging of at-risk students from historical attendance and academic data, and AI-generated progress-report narratives — layered onto the existing ERP rather than replacing it.
Baseline → target, as agreed with the customer at kickoff
A feature list tells a customer what got shipped. A Business Value Realization framework tells them whether it worked — against numbers both sides agreed to before the engagement started. That's the discipline this page's "Defining and tracking the business outcome" section describes in general terms; this engagement is one place we're applying it end to end, from a forward-deployed seat inside the customer's own product team.
Tell us what the project touches, and we'll tell you plainly what a baseline-to-target framework would look like for it.
Start a Conversation