The universal CRM LIVE

One person. One history. Every business.

Every call, text, note and permission becomes one timestamped record with the evidence attached. Your AI agents read from it, so each business remembers its own customers warmly, and no business ever repeats what a customer told a different one.

Sarah Okafor
+1 407 555 0148 | [email protected]
After Hours Plumbing Top Rated SMS granted
Next Confirm Thursday 2:00 PM, no reply since the estimate
09:51 | consent | after hours plumbing
SMS permission granted
wording stored verbatim, evidence attached
09:48 | voice | after hours plumbing
Call summarised: needs a water heater replacement
09:42 | voice | after hours plumbing
Incoming call, answered by the agent
236
people
5
businesses
626
stamped events
0
broken chain rows

Sarah Okafor is an illustration. The four counts are measured from the live store at build time | 2026-09-06 | reproduce with ledgerctl.py shipstate

The problem

Your customer does not know which CRM they are in.

They call the directory on Monday, the voice agent on Thursday, and the shop on Saturday. Three systems, three half records, and three different answers to the only question that matters before you dial: who is this, and what are we allowed to do with them.

01

Split memory

Identity lives in two places, so resolve and file disagree about who a number belongs to. The record you read is not the record you wrote.

02

Unprovable consent

You can see that a customer said yes. You cannot prove the row was not written afterwards, which is the only part a regulator cares about.

03

Leaky agents

An agent that knows everything will eventually say everything. Prompt wording is a request, not a boundary, and it fails silently.

The record LIVE

Everything you know, in the order it happened.

One person, one history, and a stamp on every line saying which of your businesses captured it. Today that is 626 events across 5 brands, and 8 people who have dealt with more than one of them without either business learning about the other. See how the timeline works.

Sarah Okafor DEMO RECORD
09:42 | voice | after hours plumbing
Incoming call, answered by the agent
09:48 | voice | after hours plumbing
Call summarised: needs a water heater replacement
09:51 | consent | after hours plumbing
SMS permission granted, wording stored, evidence attached
14:20 | web | top rated
Requested an estimate from a different business you own
this business is never told about the plumbing call
16:05 | sms | after hours plumbing
Appointment booked, Thursday 2:00 PM

Illustration, stamped DEMO so nobody mistakes it for production data | the counts above it are real | brands in the live store: afterhai 421, toprated 165, aiexec 20, haygood 19, breakingchains 1

One record, and today two stores

The ledger is not yet the only place customer facts land. The store it is replacing took 106 writes in the last seven days, mostly calls. One record per human is the design and it is true of everything the ledger holds; it is not yet true of everything we capture. The release gate covering this is one of the gates currently failing, and we would rather you read that here than discover it later.

Trust

Trust should not depend on a prompt behaving itself.

The boundaries in this system are in the data and in the code paths, not in wording we hope a model respects. Each of these has its own page, its own measured state, and its own list of what is not done yet.

Your customers already have a history.
Put it somewhere that remembers.