The Principle of the Trommel

In gold mining, a trommel is a rotating screening drum designed to separate valuable material from everything that surrounds it.

A trommel: a rotating screen that keeps what matters and lets the rest fall through.

The substrate

Your business already knows.It just can't remember.

Troml is the layer underneath. It reads everything your business receives, ties each record to the client, building or matter it is about, and holds that context so every person and every tool you add starts from your own records, with sources.

The difference

Most AI sits at the desk. Troml sits under the business.

Desk AI knows what someone pastes into it. A deployed layer already holds every email, document and rule, and knows which client, building or matter each one belongs to before it answers. The model is the same kind either way. What changes is what it stands on.

AI at the deskTroml, deployed under the business
What it knowsWhat the person pastes inEvery email, every document, and the law and rules that govern your work
Which client or buildingWhatever the person typesWorked out before anything is looked up. If it cannot tell, it asks instead of guessing
Where it worksA separate chat windowInside Outlook and the tools your team already opens
GroundingChecked by hand, if at allEvery statement tied to a source; unsupported sentences removed
Who actsA person copies and pastesThe system reads, files, drafts and looks things up. A person decides
What can be measuredTime saved, as people remember itEvery message and action, from the records

From AI in Strata Management: A Field Report from One Firm's First Year, October 2026.

The stack

Three layers. The bottom one is the anchor.

The substrate builds the anchor: your records, tied to what they are about, checked and cited. A domain harness puts your industry on top of it. Tools put the work where your people already are. Build the anchor first, then add the harness.

Layer 3

Tools

Where the work lands. Each tool is small because it inherits the context underneath.

  • Reply drafts in the person's own Outlook, with sources
  • Work Hub: one queue of work per person
  • Minutes drafted from meeting recordings
  • Supplier invoices matched to work orders
  • Meeting packs and notices assembled
  • Answers to "what is true about this, and how do you know?"
Travels?PartlyThe mechanics travel. What a draft says and who approves it is set by the harness.
Layer 2

Domain harness

Your industry, as configuration on top of the anchor.

  • Entities and their identifiers: plan number, policy number, matter number, lease
  • The kinds of record you hold, defined up front
  • What a message can ask for, and how urgent it is
  • The law, regulations and rules that apply
  • Templates and the actions people are allowed to take
  • A held-out set of questions your own people wrote, to test it
Travels?No. It is yours.Strata, insurance broking and legal practice each need their own.
Layer 1

Substrate: the anchor

The same machinery for every business. It turns raw records into bounded, cited context.

  • Reads mail and documents as they arrive, scanned pages included
  • Ties each record to the entity it is about
  • Finds by meaning and by exact wording, inside that entity
  • Ties every statement to a source, removes the rest
  • Puts every action that changes a record behind a person's approval
  • Records what it read, decided and proposed
Travels?YesRebuilt for a second industry, insurance, as our own deployment.
Watch it work

Same seven stages. Swap the harness.

Pick an industry and an incoming message. The left column never changes: that is the substrate. The right column is what the harness supplies and what comes out. Then switch the anchor off to see what the same message does without it.

Industry
Incoming
Anchor

StageSubstrate does (same everywhere)Harness supplies, and what comes out
    Why it stays

    Every tool you add either decides for itself, or stands on the anchor.

    Without a substrate, every AI tool connects to every source on its own and works out for itself which client an email is about. Each one can decide differently. With the anchor, that decision is made once, and every new tool inherits it. Move the slider.

    4 Six sources: mail, documents, accounts, calendar, recordings, the law.

    Each tool on its own

    24connections to maintain
    4places that decide who an email is about
    0answers you can replay

    Every tool on the anchor

    10connections to maintain
    1place that decides who an email is about
    Allanswers recorded, stage by stage

    The next tool starts with context

    A new workflow does not rebuild connectors, entity matching or grounding. It asks the anchor. That is why the harness can be small and why the second tool costs less than the first.

    Knowledge stays when people leave

    A building's or client's history lives in the records, searchable by everyone, not in one person's head. A resignation becomes a handover, not a loss.

    New work adds platform cost, not salaries

    Once the anchor exists, more clients and more mail mean more processing, not another hire for every new portfolio.

    Every answer can be settled

    When an answer is disputed, the run can be replayed stage by stage: what arrived, what it was tied to, which sources were used, what was removed. Desk AI leaves nothing to replay.

    Capabilities

    What the substrate does today, graded.

    Live means running in production for the founding deployment. Built means it exists and is not doing that job yet. We list the gaps in the same type size as the rest. Open Learning and self-improvement for how the system gets better, and where a person decides.

    Adding your industry

    What goes into a harness.

    A new business does not get new machinery. It gets a harness: the parts of its world the substrate needs to know about, written down once and tested against its own people.

    Entities and identifiers

    What a record can be about, and the numbers that prove it.

    Kinds of record

    Every type of document and message you hold, defined up front, never added ad hoc.

    What a message can ask for

    Intents, urgency rules and who owns the response, taken from your system of record.

    The law and the rules

    The acts, regulations, decisions and house rules answers must cite.

    Actions and templates

    What the system may prepare, in your house format, and who approves each one.

    Questions your people wrote

    A held-out set of real questions with known answers, including traps and ones it must refuse. The pass mark is set before the first run.

    1. Connect

      Read-only access to one mailbox and its documents.

    2. Profile

      Probes over your own records: how much resolves, what is scanned, what is missing. You get a written gap list.

    3. Validate

      Answers checked against questions your people wrote, graded blind, with the pass mark set first.

    4. Live

      Drafts and answers inside the tools your team uses, with a person on every decision.

    Measured, Oct 2026: a new building's full handover, 2,542 files including the previous manager's mailbox, was loaded the afternoon it arrived. 2,525 files (99.3%) were searchable and linked to the building, and the assistant answered five test questions correctly with links to the sources. One building, one afternoon.

    Evidence

    One firm's first year, measured from its own records.

    The founding deployment is a Victorian strata manager:

    • 12 staff
    • 176 owners corporations
    • 6,825 lots
    • Layer in use since February 2026

    These figures come from locked measurement queries over production records. The failures sit next to them.

    +35%customer emails needing a reply, 3,269 in July 2025 to 4,411 in July 2026, with the same team of 12Live, measured. No control group.
    49.5% → 49.9%answered by email within 24 hours as that load rose: service held, not fasterWithin 14 days: 67.9% and 68.3%. Email replies only.
    12 staffused the assistant in August 2026, 10 of them on at least 80% of working days14,351 assistant actions that month. Use, not benefit.
    72 → 91of 99 document requests answered with the right file first, after fixes built from this same testOn 32 real staff requests never used for tuning: 69% (22 of 32). Self-administered, Oct 2026.
    +43%distinct customer sender addresses, 1,982 in July 2025 to 2,831 in July 2026Live, measured. Volume, not benefit.
    113 → 71customer emails unanswered for more than 7 days, weekly average: 113 in April 2026, 49 in August, 71 in SeptemberMonth by month: 113, 80.8, 64, 52.3, 49, 71. No control group.

    The load rose a third. The share answered within 24 hours held.

    Customer emails needing a reply and those answered within 24 hours. July 2025: 3,269 needing a reply, 1,618 answered within 24 hours (49.5%). July 2026: 4,411 needing a reply, 2,201 answered within 24 hours (49.9%). 5,0002,5000 3,269 1,61849.5% 4,411 2,20149.9% July 2025July 2026 Needing a reply Answered by email within 24 hours

    Reply-time measurement, re-run on the complete mail record with the firm's own business mail removed; approved 12 Oct 2026. Counts replies by email to the customer's own address, in clock hours. Phone and portal replies are not seen. No control group.

    What did not work

    • A full set of AI features for staffMany did not stay in real use. Build less, measure use, retire the rest.
    • Draft meeting minutesAn audit found motions recorded as carried that were never put. Approval is now mandatory.
    • Automatic sendersAudits found senders that could email outside the firm without a check. All paused or guarded.
    • A background processOne runaway month on the cloud bill. Spend alarms and throttles followed.
    • Bare building namesStill unreliable when a message gives only a building's name, with no number or address.
    • An earlier reply-time claim"51.8% to 59.3% answered within 24 hours" did not survive a re-measure on the complete mail record and was withdrawn on 12 Oct 2026. Service held instead.
    • Learning from correctionsCorrections are captured. They are not changing answers today.

    Limits

    • One firm's first year, not an industry study. It shows an association, not a proven cause.
    • Outcomes are measured on email. Phone and portal replies are not seen.
    • Measured by the firm itself. No outside party has audited the figures.
    • Use deepened over months. A firm that judges this on its first quarter will judge it too early.

    Method

    Each figure comes from a locked query that records its code version and a fingerprint of its results. Every figure on this page sits on a claims register and was approved for external use by the general manager. The register retires a figure rather than editing it.

    Start

    Bring a corpus, not a brief.

    We build the anchor on your own records first and show you what resolves, what does not, and what your people's questions get back. Then you decide whether to add the harness.

    hello@troml.ai