Every new question becomes an analyst ticket
Business users wait for someone who understands the ERP schema, table names, joins, filters, and reporting definitions.
ERP Operational Intelligence
Dotnitron uses SemeLabs to help mid-market teams turn ERP and source-system questions into governed, SQL-backed answers with approved data scopes and validation evidence.
Why It Matters
The cost is not only analyst time. It is delayed decisions, inconsistent definitions, spreadsheet workarounds, and missed opportunities to act while the answer still matters.
Business users wait for someone who understands the ERP schema, table names, joins, filters, and reporting definitions.
Standard BI answers recurring KPIs, but operational teams still need exception analysis, drilldowns, and one-off answers every week.
In ERP systems, polished SQL is not enough. The system must select the right tables, date fields, transaction states, and business definitions.
The same question returns with a slightly different filter, team, region, product, or period, and the manual cycle starts again.
Pilot Path
A serious ERP AI rollout should not start as a broad chatbot. It should start as a controlled pilot with SQL visibility, approved data, and review evidence.
Select one team and one approved ERP or source-system scope.
Collect 25 to 50 real operational questions from business users.
Map business language to ERP vocabulary, table context, and known definitions.
Generate visible SQL, run against approved read-only data, and return tables, charts, and narrative.
Score outputs with business and data owners as pass, partial, fail, or out-of-scope.
Use the validation report to decide production rollout or next-team expansion.
Start with one team, one data scope, and real questions. We will map the pilot and validation path.