Three teams, three messes,
one clean source of truth.
Different industries, different data. Same shape underneath: scattered data in, one clean source of truth in the middle, ready for every app and AI that needs it.
Fifty sources, one model.
One modeled source of truth across 50+ services.
The Problem
A banking-stack team kept one hand-written context file per microservice — fifty unmodeled, drifting files. Every tool re-derived the world from scratch, every session.
The Lattice Fix
Lattice models the service registry — ownership, dependencies, migration history, and docs as related SQL tables — and serves a clean per-service view to every consumer over REST and rendered Markdown. When service A’s schema changes, everything reading service B sees the new shape on the next read.
Outcome
- Fifty drifting files collapsed into one modeled, queryable source
- 3× cheaper per task vs re-deriving from raw files
- Drift goes to zero — the model is the source, the docs are a projection
The Shape
“We replaced fifty unmodeled files with one Lattice model and served it to everything. The bills dropped. The wrong answers stopped.”
Data that compounds.
Observations captured as rows, not lost to the session.
The Problem
An in-house platform ran dozens of jobs a day that produced structured findings — “this clause means X”, “this customer wants Y format” — that vanished when the session ended. Nothing was ever modeled or kept.
The Lattice Fix
Lattice models observations, skills, and feedback as first-class tables. Jobs read them as context and append new rows when they learn something; a reward score lets the team prune low-value entries. Reverse-sync means humans can edit the rendered files and the edits flow back to the model.
Outcome
- Findings persist as queryable, governed rows
- The model grows with use, with provenance on every entry
- Low-value rows are pruned by an inspectable reward score — not a black-box loop
“Every job’s findings used to evaporate. Now they land in one model we can query, audit, and trust.”
One model, every role.
Tailored views for every role, one shared data model.
The Problem
Twenty-plus projects across fifty-plus staff. Curriculum, contacts, and policies lived in scattered docs and had to stay consistent everywhere. Manual classification was the bottleneck.
The Lattice Fix
Lattice ingests emails, transcripts, and documents and models people, projects, and policies into one related source of truth. Each role gets a render spec that serves a focused slice of the same model. Staff query it in plain language and answers cite the underlying rows, not a guess.
Outcome
- Twenty-plus projects on one shared, governed model
- Auto-structured people, projects, and meetings — no manual filing
- Role-specific views served from one source
- Plain-language answers grounded in real rows, not training-data guesses
“My priorities are these projects, I have four hours, what is high-leverage? — and the answer is right. Every time.”
Your data is next.
The shape works for anything you’re currently pasting into prompts by hand.