GRT turns the data your business already generates into reporting you can act on — without the spreadsheet sprawl, the one-off scripts, or the quarter-long BI project.
What it is
Most reporting platforms depend on a publish-an-extract cycle: a question arrives, a ticket opens, an extract is rebuilt and republished, and the answer lands two to three weeks later — already slightly wrong. GRT reads your sources directly, read-only and audited, so a new question is a conversation rather than a queue.
The data plane
Every query is validated to a single read-only statement before it reaches the database. Writes and DDL throw before execution. Connections run under least-privilege logins, scope-gated, tenant-isolated, fully audited.
The layer above
GRT publishes tools, prompts, and a progressive schema resource, so the caller's own Claude discovers real tables and joins before composing a query. It never guesses a column name, and the server never ships row data to a model it does not control.
The proof · a shipped engagement
We documented a complex ERP estate, rebuilt every production dashboard, and shipped a governed reporting engine. Every figure below is drawn from commit history, build telemetry, or migration ledgers. Nothing is projected or estimated.
database assets auto-documented before a line of report code
calculated fields reverse-engineered from the incumbent platform
dashboards rebuilt as live HTML, in about three days
of 1,005 engine commits co-authored with Claude Code
for one metered 33-agent build workflow, at published API rates
guard scripts enforcing the security contract on every build
The problem
Mid-market companies already own their data. What they do not own is the loop that turns a question into a report. The incumbent platform's published data sources actually stripped fields that existed in the customer's own database — users were getting less analytical surface than their ERP contained.
Act one
Agents documented the estate first — tables, views, triggers, relationships — into an atlas an agent can traverse without guessing a column name. Then 24 of 24 production dashboards were re-implemented as live HTML on direct, read-only SQL. No extracts, no republish cycle, no copy of the data to keep in sync.
Act two
The rebuild surfaced findings the incumbent's dashboards had never shown: eight figures of revenue accumulating under a placeholder salesperson record, a budget line frozen at the same value for twelve consecutive years, and dozens of deals marked closed-won after their expected close date.
Including how two Claude agents negotiated the GRT–Cerberus integration in versioned design memos, and where Claude sits across the stack.
Where it fits
GRT is the focused entry point: every company needs dependable reporting. When the work grows past reporting, GRT registers as a plugin behind Cerberus, our orchestration platform, so it sits behind the same control plane as the rest of your stack.
Next step
If your reporting still moves at the speed of a ticket queue, thirty minutes is step one. Walkthrough, pricing, or a tailored deployment — we would rather show you than spec it out on a page.
