CorpusIQ
The interesting choice here is the KPI validation step: rather than letting a model interpret raw rows, CorpusIQ normalises figures against agreed definitions first, then cites the source. That addresses the specific way AI-over-your-data goes wrong. Read-only access removes a whole class of risk. It is priced per seat and is a small vendor, so the question is whether your forty tools are actually on the connector list.
Pros
- Answers carry source citations, and OCR pulls figures out of PDFs, invoices and contracts
- Numbers are validated against consistent KPI definitions before the model reasons over them
- Read-only by design — no write path back into connected systems
- Works inside ChatGPT, Claude, Perplexity and Slack, or over MCP for agents and self-hosted models
Cons
- No free tier; the 30-day trial is the whole evaluation window
- Priced per user, so a wider rollout scales linearly in cost
- The value depends entirely on whether your stack is in the 40-tool connector list
- Microsoft Teams support is still listed as coming soon