01 — Audit
Process audit
Two weeks inside one workflow. We count where the hours actually go, and we say out loud which steps should stay human.
// The change
Scroll — the manual chain rebuilds itself.
Time to reply ≈ 2 days Schematic — the shape of the change, not a client benchmark
// How it runs
01 — Audit
Two weeks inside one workflow. We count where the hours actually go, and we say out loud which steps should stay human.
02 — Build
One narrow agent that does one job well: read the input, decide, act in your systems, log why. Evaluated on your real cases before anyone trusts it.
03 — Integration
It plugs into the CRM, ERP, mailbox and storage you already have. No migration, and no new place to check every morning.
CRMERPMAIL
04 — Operation
Evaluations on every change, cost ceilings, alerting when quality drifts, and a monthly pass to widen what it handles once it has earned it.
// Agents we build
FIRST LINE
Answers the repeated 60% from your own documentation, escalates the rest with the context already gathered, and never invents a policy it cannot cite.
PLUGS INTO · HELPDESK · DOCS · CHAT
Open →Running
Reading the queue, answering what it can cite.
Click again to close
REVENUE
Reads every inbound request, enriches it, scores it against how your good deals actually looked, and puts a ready card in front of the right salesperson.
PLUGS INTO · CRM · MAIL · FORMS
Open →Running
Enriching every inbound, scoring it, routing it.
Click again to close
BACK OFFICE
Pulls figures out of invoices, contracts and acts, checks them against the record, and flags only the mismatches for a human to look at.
PLUGS INTO · STORAGE · ERP · ACCOUNTING
Open →Running
Scanning each document, sorting the mismatches out.
Click again to close
VISIBILITY
Assembles the weekly numbers from every system they live in, writes the summary a human would have written, and says what changed and why.
PLUGS INTO · DB · ANALYTICS · SHEETS
Open →Running
Pulling the week out of every system it lives in.
Click again to close
GLUE
Sits between systems that were never meant to talk, translating and reconciling — the job currently done by somebody copying between two tabs.
PLUGS INTO · APIS · WEBHOOKS · QUEUES
Open →Running
Translating between two systems that never met.
Click again to close
INTERNAL
Answers staff questions from your own regulations, contracts and history, with the source attached — so the answer can be checked, not just believed.
PLUGS INTO · WIKI · DRIVE · MAIL
Open →Running
Finding the passage, and bringing the source with it.
Click again to close
Every one of these is a narrow job with a measurable before and after. We start with whichever one is costing you the most this quarter.
Answers the repeated 60% from your own documentation, escalates the rest with the context already gathered, and never invents a policy it cannot cite.
Reads every inbound request, enriches it, scores it against how your good deals actually looked, and puts a ready card in front of the right salesperson.
Pulls figures out of invoices, contracts and acts, checks them against the record, and flags only the mismatches for a human to look at.
Assembles the weekly numbers from every system they live in, writes the summary a human would have written, and says what changed and why.
Sits between systems that were never meant to talk, translating and reconciling — the job currently done by somebody copying between two tabs.
Answers staff questions from your own regulations, contracts and history, with the source attached — so the answer can be checked, not just believed.
// How we keep it boring
Below a set confidence the agent does not guess — it hands over, with everything it already worked out attached.
Anything above a value limit you set stops for approval. Money decisions stay with people by default, not by exception.
Every action logged with the input, the reasoning and the result. When someone asks “why did it do that”, there is an answer.
A hard monthly spend limit, and one switch that returns the process to how it worked before. Nobody signs up for an unbounded bill.
An agent that is right 95% of the time is useless if nobody can tell which 5% went wrong. Every build ships with all four of these, not as an upsell.
Below a set confidence the agent does not guess — it hands over, with everything it already worked out attached.
Anything above a value limit you set stops for approval. Money decisions stay with people by default, not by exception.
Every action logged with the input, the reasoning and the result. When someone asks "why did it do that", there is an answer.
A hard monthly spend limit, and one switch that returns the process to how it worked before. Nobody signs up for an unbounded bill.
// Stack
Model-agnostic on purpose — and on-premise is not a slide for us. We build and operate MacYou, a self-service AI deployment platform on dedicated Apple silicon. If your data cannot leave the building, we have already solved that for ourselves.
Drag to turn the board · every name is milled into it
Model-agnostic on purpose. The one that is best for your step this year will not be the best one next year, and swapping it should be a config change, not a rewrite.
On-premise is not a slide for us. We build and operate MacYou — a self-service AI deployment platform on dedicated Apple silicon. If your data cannot leave the building, we have already solved that problem for ourselves.
// Next
Tell us the one everybody complains about. We will say honestly whether an agent belongs there — and if it does not, we will say so.
Tell us the one that everybody complains about. We will tell you honestly whether an agent belongs there — and if it does not, we will say so.
No. Agents work through the APIs of the systems you already run. If a system has no API we drive it the way your team does, or we move that one step and leave the rest alone.
Two to four weeks from audit to something running on real traffic, for one narrow process. Broad programmes that automate everything at once are how these projects die.
Every agent ships with a confidence threshold, a human review path for anything above a value limit, full logs of what it did and why, and a rollback switch. Being wrong is a design input, not a surprise.
Wherever you decide. Hosted model APIs with zero-retention terms, your own cloud, or fully local inference on hardware you control — we build and run an Apple-silicon deployment platform, so on-premise is a real option rather than a slide.
A fixed price for the audit, a fixed price per agent for the build, and a monthly figure for operation that includes model spend with a ceiling. No open-ended hourly billing.