Corporate Operations
Operations, finance, and leadership teams need answers from ERP, CRM, data warehouses, tickets, and documents, but every non-standard question turns into a manual request. Dotnitron builds governed workflows that turn recurring questions and fragmented processes into validated operating answers.
Why Dotnitron? We do not start by selling AI. We start with the industry workflow that is costing time, margin, trust, or deal speed, then build the controlled system around that pain.
Industry Pain Map
The pain is not a missing dashboard. The pain is every business question that falls outside a dashboard, waits on a data team, and gets rebuilt as a one-off spreadsheet.
SymptomsRevenue leakage, vendor changes, overdue invoices, margin movement, and operational exceptions require analysts to pull data manually.
Business costLeaders wait days for answers, data teams get interrupted, and definitions drift across spreadsheet versions.
What to fixCreate governed natural-language workflows over approved data scopes with visible SQL, result tables, charts, and validation checks.
SymptomsThe same workflow touches ERP, CRM, email, ticketing tools, PDFs, shared drives, and spreadsheets.
Business costTeams copy data across systems, miss exceptions, and lose the audit trail for who changed what.
What to fixUse workflow orchestration to extract, validate, route, and update records through approved APIs with human checkpoints.
SymptomsA generic assistant may answer from stale data, unauthorized records, or the wrong business definition.
Business costTrust collapses quickly if leaders cannot inspect source tables, filters, permissions, and logic.
What to fixDesign role-aware answer paths with approved data scopes, visible SQL, business glossary context, and audit logs.
Workflow Engineering
Operations teams waste time jumping between ERPs, CRMs, warehouses, and internal databases. We build answer workflows around approved data scopes, business context, and reviewable SQL.
We implement SemeLabs to connect to approved data warehouses such as Snowflake, BigQuery, or PostgreSQL. The workflow uses explicit business definitions and semantic context to produce inspectable SQL, result tables, and charts that data owners can validate.
Moving beyond analytics, we build workflow orchestrators that read unstructured inputs such as support emails or vendor invoices, extract the necessary fields, route exceptions for review, and trigger approved API actions in systems such as Salesforce, SAP, or Jira.
Internal assistants are risky without access control. We integrate workflows with identity providers such as Okta or Entra ID so user permissions, approved data scopes, and audit logs are part of the answer path.
FAQ
We integrate with existing enterprise tools (ERP, CRM, data warehouses) using secure, standard APIs and read-only connectors.
Bring one workflow: the files, systems, reviewers, current output, and where the work breaks down. We will map whether it is worth turning into a controlled deployment.