Your AI Is Only As Good As Your Data
We built the data architecture that makes automation trustworthy — 3 production databases, a 7-step deterministic pipeline, and zero AI inference in the data layer — a core tenet of our deterministic systems approach.
Duplicate contacts across 5 tools
CRM says one thing, email says another, the spreadsheet has a third version. Nobody knows which is right.
Invoices that don't match POs
Manual data entry across disconnected systems. Errors compound silently until someone catches them — or doesn't.
CRM contradicts the spreadsheet
Two sources of "truth" that disagree. Your team picks whichever is most convenient. Decisions built on sand.
Email threads as "system of record"
"Check the email from last Tuesday." That's not a system. That's a liability.
Financial data across 3 places and someone's memory
QuickBooks, bank feeds, and "I think we already paid that." No single number you can trust.
Data architecture is not a feature. It's the foundation that makes everything else trustworthy.
ike_ops.db
3.8 MB · SQLite WALOperational single source of truth
- messages
- triage
- contacts
- routing_rules
- intake_bridge_log
- triage_runs
- contact_sync_log
- sent_messages_learned
- schema_version
bookkeeper.db
SQLiteFinancial data — clean, reconciled numbers
- Invoices & receivables
- Cash flow tracking
- Reconciled transactions
- Financial reporting
ops_engine.db
13.2 MB · SQLiteEmail triage, contacts, routing rules
- Email classification
- Contact management
- Routing rule engine
- Triage automation
Same input always produces same output. Fully auditable. Fully reproducible. Zero AI inference in the pipeline.
Normalize
Clean input data. Strip noise, standardize formats, enforce schema.
Dedup
SHA-256 content hash for exact matches. Levenshtein fuzzy matching for near-duplicates.
Route
Keyword scoring against the rules engine. 300 lines, 6 precedence levels. 90% of emails never touch AI.
Q-Score
Eisenhower 2-axis prioritization with financial impact weighting. Urgent + important + money = top of the stack.
Persist
Write to the SSOT database. One record, one truth, one location.
Link
Cross-reference related records. Contacts to messages. Messages to triage decisions. Full graph.
Archive
Immutable audit trail. Every decision, every routing, every score — permanently recorded.
Every contact linked. No orphaned records.
SHA-256 + Levenshtein. No duplicates survive.
Rules engine handles the volume. AI reserved for the edge cases.
Same input, same output. Every time. No inference drift.
Deterministic keyword scoring with cascading precedence. Higher priority rules always win. No ambiguity.
Stop Building AI on Bad Data
Your AI is only as good as your data. We clean it first. Data architecture is not a feature — it's the foundation that makes everything else trustworthy.