The data
Stale before you asked
The moment it left the system it became a photograph. You’re asking questions of a version of the business that no longer exists.
Your business has AI.It doesn’t have an agent workforce.
A fully supported agentic operating system
You’ve done the same piece of AI work more than once. Re-explained the context, re-uploaded the file, re-checked the answer. Lifter is the system your organisation uses to build, govern and run an entire agent workforce alongside its people.
LA
LachieMerchandising
06:30
Coverage risk on 3 SKUs before the weekend run. Recommends bringing the reorder forward by a week.
Posted in #merch
BR
BrookeCustomer experience
06:41
Asked before refunding $186.50 on a damaged order. Photo on file, customer waiting.
ApproveDeny
Held for Sam W.
RI
RikoData and reporting
07:00
Daily performance brief posted. Revenue up 11 percent week on week, returns down 0.8 points, two anomalies flagged.
Posted in #trading
EVERY
Weekday
since setup
since setup
00
Times anyone
had to be there
had to be there
Organisational, not personal · always on and always learning · one place to build, govern and run every agent · permissions per person, per agent, per tool · every action on the record · available to every employee · organisational, not personal ·
01 · The problem
Every team is already using AI.None of it belongs to the business.
Capability isn’t the problem. Your people are resourceful and they have found their own way to use it. The problem is that every one of those ways is private, unmanaged, invisible to everyone else, and impossible to repeat without the person who built it.
If your business runs on a daily rhythm, carries a lot of process on a lean team, and works across a stack of separate tools rather than one system, this will be familiar. It shows up the same way in commerce, in services, in wholesale and in operations of almost any kind.
RefWhat it usually looks likeRepeats
AA chat window. Open it, explain the business again, paste the context again, ask the question.No
BAn export. Pull the data out to work on it, which is the moment it stops being live.No
CAn application built with AI. Genuinely intelligent while it was being built. Not intelligent since the day it shipped.No
DA script. Does exactly what it was told, forever, including on the day the situation changes underneath it.No
EAll of it on one laptop, in one person's account, in one person's history.No
02 · Why it’s a problem
It can’t be managed, measured or repeated.
Work gets done, a result appears, and next month the whole thing happens again from the start. It’s an invisible cost, because it never shows up as a line item anywhere.
The output
You’re the quality control
Every single time. Nothing accumulates, so the checking never gets shorter and never gets handed to anyone else.
The reach
Only you can run it
What you worked out lives in your history and in your account. It isn’t the business's knowledge, and it leaves when you do.
The compounding
Six months on, you start again
Six months of effort and you’re exactly where you started, doing it again from the top.
Your business is paying for AI and accumulating nothing.
And the better you get at it, the more of your week it takes, because you become the person everyone comes to. The skill sits with you rather than with the business.
03 · The solution
One system to build, govern and run an entire agent workforce.
Agents are created, given skills, granted permissions and put to work, and the whole workforce is managed in one place by the organisation rather than by whoever happened to build it. That’s what an agentic operating system is, underneath the category name.
One
Agents, not conversations
It exists whether you’re talking to it or not. Its own identity, its own permissions, its own memory of your business. Give it work on a schedule and it will still be doing it next month.
Two
Skills the whole business shares
The procedure for doing the job, written in plain English once and held by the business. Distributed to every agent that needs it, editable by your team, and it stays when people leave.
Three
Guardrails you set, enforced everywhere
Permissions per person, per agent and per tool, with every action logged. Anything consequential pauses for the accountable human. Your people approve the work rather than perform it.
Four
Independent of any one model
Agents, skills, memory, connections, automations and applications sit on Lifter rather than inside a model. Models are configurable, a backup takes over if the default goes down, and what you’ve built stays yours.
AgentsSearch pages, applications, agents and skills
Your team
6 agents ready to work.
RI
Riko
Data and reporting
Reads the overnight numbers every morning and tells you what is really moving.
ChatBR
Brooke
Customer experience
Tickets, delivery enquiries and refunds, with anything touching money held for approval.
ChatLA
Lachie
Merchandising
Stock cover, reorder timing and product performance, flagged before it bites.
ChatExample workspace · under your brand, on your domain
The difference, line by line
The same work.A very different week.
Take one recurring task. A weekly trading report, a refund queue, a campaign performance review. Here’s how it goes today, and how it goes once an agent is doing it.
Today
With Lifter
You open a chat and explain the context again.
The agent already knows your business. Nothing to re-explain.
You export the data, so it’s out of date before you ask.
It reads the live system, at the moment it needs to.
You remember roughly how you did it last time.
It follows the written procedure you approved once.
You check the output yourself, line by line.
It checks its own work and escalates only what needs you.
It happens when you sit down to make it happen.
It happens at 07:00, whether you’re there or not.
Only you can run it.
Anyone in the business can, inside the permissions you set.
Next month you do all of it again.
Next month it’s sharper than it was, because it kept what it learned.
The short version
Put a workforce behind the people you already rate.
Your people stop being the operators and start being the approvers. Thirty minutes on a call. Tell us one process that eats your team's week and we’ll show you what it looks like as a managed agent, running on your systems, with the guardrails already set.
Lifter is running in retail businesses today, on their own systems and their own data. Retail is a demanding place to prove something works, which is why we started there.
Every engagement begins with onboarding, so you finish live and running rather than logged in and guessing.