One place your AI tells the truth from.

Sheets, inbox threads, and SOPs join into one queryable system. AI answers from that system, not from memory. Audits pass faster.

Context Layer

One place for data, SOPs, and workflows. It replaces 20 disconnected tools as the reference point. Staff checks here first.

Data Consolidation

Pipelines pull scattered sheets and inbox threads into one system you can query. Nightly sync. Dedupe rules you can read.

Internal Knowledge Base

AI answers from your SOPs and cites the source per answer. The team stops asking the same questions twice.

You keep

Repo, pipeline configs, vector store, access keys, 2-page runbook. Running cost is typically $20–80 per month plus model use. One named owner and one hour per week keeps it clean.

Not for you if

  • · No one can own it. The system needs one named owner and one hour a week.
  • · You want a migration project. This wires the tools you already have.

Asked before an audit

How long does a Data Foundation take?

One to two weeks after the audit. Top 20 SOPs first, then the rest.

What do you need from us?

Access to Sheets, Drive, and inbox, plus one operator interview. No migration project.

What if our SOPs are messy?

We structure the top 20 first. The rest follows the same template.

Start with the Blueprint

We pick the top 20 SOPs first, then wire the rest.

$297 · €247. Ranked actions and wiring order. Fewer than three ranked actions, you do not pay.

Get the ROI Blueprint