Service — Data
Your AI is only as good as what it can read
Years of documents, spreadsheets, and wikis — organized, cleaned, and made safe for AI to answer from.
from $2,000
Sound familiar?
“Our SOPs live in six different places — and nobody knows which one is current.”
“The AI keeps answering from an old price sheet.”
“Our CRM has three versions of the same customer.”
What you get
- A data and document audit: what you have, where it lives, what is stale, what is duplicated.
- A single-source-of-truth plan — one trusted home for prices, policies, and procedures.
- A folder taxonomy and naming conventions your team will actually follow.
- PII handling rules: what gets scrubbed or locked down before any AI touches it.
- A cleaned, organized knowledge base that AI tools — and new hires — can answer from.
How it works
- Step 1
Inventory
We find everything: drives, wikis, inboxes, spreadsheets, the folder named “FINAL v3 (2)”.
- Step 2
Audit & rank
What is trustworthy, what is stale, what is sensitive — and which of it AI actually needs.
- Step 3
Clean & organize
Deduplicate, retire the stale copies, apply the taxonomy, scrub what should never leave the building.
- Step 4
Hand over the system
You get the organized knowledge base plus the one-page rules that keep it clean.
Jargon, translated
The words you'll hear — in plain English.
- Structured vs unstructured data
- Structured = neat rows and columns (your CRM). Unstructured = everything else — emails, PDFs, docs. Most of what a business knows is unstructured.
- Single source of truth
- One trusted place everyone pulls the same facts from — instead of six spreadsheets with six different “current” prices.
- Knowledge base
- A centralized, searchable home for your documents, policies, and how-tos that people and AI tools can answer from.
- RAG-ready
- Data that is clean and organized enough for an AI to look up real answers from it, instead of guessing from memory.
- Deduplication
- Merging the three versions of the same customer, document, or price into one correct record.
- PII scrubbing
- Removing or masking personal information — names, account numbers, health details — before documents go anywhere near an AI tool.
Questions, answered
Why does this matter before automation?
Garbage in, garbage out. An AI answering from stale or conflicting documents will confidently repeat the errors. Clean data is the cheapest accuracy upgrade there is.
Do you need access to everything?
Only what we scope together — and the audit flags anything sensitive before it is touched. PII rules are set before cleanup starts, not after.
Will my team have to learn a new system?
No new software required. The deliverable is your existing storage, organized — plus one page of rules that keep it that way.
Feed your AI the truth
No obligation, no pitch deck.