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
Stop losing days to recurring ERP questions.
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
If leaders wait days for operational answers, the business is already paying.
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.
Dashboards stop at the first follow-up
Standard BI answers recurring KPIs, but operational teams still need exception analysis, drilldowns, and one-off answers every week.
Wrong context creates confident wrong answers
In ERP systems, polished SQL is not enough. The system must select the right tables, date fields, transaction states, and business definitions.
Manual answers do not compound
The same question returns with a slightly different filter, team, region, product, or period, and the manual cycle starts again.
Pilot Path
Validate one team's recurring questions before expansion.
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.
01
Select one team and one approved ERP or source-system scope.
02
Collect 25 to 50 real operational questions from business users.
03
Map business language to ERP vocabulary, table context, and known definitions.
04
Generate visible SQL, run against approved read-only data, and return tables, charts, and narrative.
05
Score outputs with business and data owners as pass, partial, fail, or out-of-scope.
06
Use the validation report to decide production rollout or next-team expansion.
AI Agent Architecture
Built as a governed ERP answer agent, not a broad database chatbot.
The implementation wraps model capability inside a controlled operating workflow: approved users, approved data scopes, retrieval-first context, visible SQL, and validation checkpoints.
Approved question scope
The agent is limited to an agreed team, source system, user group, business vocabulary, and answer type before it touches operational data.
ERP context retrieval
The system narrows schemas, tables, definitions, saved queries, and business rules before generating SQL, reducing wrong-table and wrong-definition risk.
Visible SQL and answer evidence
Business users receive answers with result tables, charts, narrative, and reviewable SQL so data owners can inspect how the answer was produced.
Validation before rollout
The pilot is scored on real recurring questions before expansion, creating a practical evidence base for production adoption.
Search-Aligned Use Cases
Where ERP operational intelligence becomes a must-have.
The strongest fit is not a generic analytics portal. It is a recurring answer queue where slow analysis delays decisions, creates spreadsheet workarounds, or makes managers dependent on a few technical analysts.
ERP AI assistant for operations
When managers need fast answers over sales, inventory, receivables, procurement, finance, or customer operations without opening another analyst ticket.
Natural language to SQL for ERP
When text-to-SQL demos fail because the real problem is ERP schema context, team definitions, permissions, and answer review.
Ad hoc reporting automation
When BI dashboards are useful but cannot handle the repeated follow-up questions that consume analyst capacity every week.
AI operational intelligence pilot
When leaders want a controlled 30-day proof with read-only data access, validation questions, and a clear rollout decision.
Have an ERP question queue your team should not still be running manually?
Start with one team, one data scope, and real questions. We will map the pilot and validation path.