Is AG Brain a chatbot or a dashboard?
Neither. A chatbot answers from whatever context it is handed in that session; a dashboard shows a number and leaves the interpreting to you. AG Brain is a context engine: a persistent model of your business (entities, products, customers, costs, contracts and how they relate) that keeps learning as your systems change. Dashboards and assistants can sit on top of it, but they are surfaces. The Brain is the memory underneath them.
What does it connect to?
SAP (ECC and S/4HANA), Oracle ERP (E-Business Suite and Fusion), Tally and Zoho are the four we are asked for most, plus CRM and helpdesk platforms, warehouse, hospital, learning and point-of-sale systems, marketplace seller panels, and the WhatsApp threads, email and spreadsheets where much of the real decision record lives. Whether a specific system can be read depends on the interfaces that vendor exposes. We assess this in the audit and tell you what we cannot read.
Does it write back into our systems?
It reads broadly and writes narrowly, and the two are configured separately. The default is read-only. Write access is enabled per workflow, with the scope, the approver and the audit trail agreed in writing first, and any consequential or irreversible action carries a named human checkpoint.
How is this different from the AI agents everyone is selling?
Agents are the hands: useful, increasingly commoditised, and only as good as the context someone hands them each time. AG Brain is the memory: one context engine per client that learns what normal looks like for your business and lets every agent reason over connected truth rather than a fresh prompt.
Why would we trust a number it produces?
Because you can trace it. Finance and operations arithmetic is computed deterministically, not generated. Language models write the narrative and never the figure. Every number carries the source row it came from, and the model version behind the narrative is recorded. If a figure cannot be traced to its source, it is not published.
Where does our data live, and is it used to train models?
Each client runs in a dedicated, isolated environment. Data does not cross tenants and is not used to train any model outside yours. Hosting location is agreed in writing before deployment and stated in the contract, and processor terms for security, sub-processing, deletion, access logging and breach notification are part of the agreement.
What does the 10-Day Signal Audit cost, and what happens after it?
It is a fixed fee, quoted before it starts. It is read-only: you send an export, nothing is installed and nothing in production is touched. You receive a department-by-department audit, the top three recoverable opportunities ranked with evidence, a fixed-fee deployment plan and your first morning brief generated from your own data. If you proceed, the audit fee is folded into month one.
How long until it is useful?
The audit gives you a defensible number in ten days. A first production workflow (one department, one baseline, one morning brief) is typically the first milestone after that, with the timeline fixed in the deployment plan. We will not quote a go-live date before seeing your systems: integration, not software, is almost always the longest part.
