Cheap and reliable, until they aren’t
Strength. Predictable for known, well defined flows.
Limit. Rigid. Breaks on the first edge case. No judgement, no memory, no learning.
The agents, the systems they reach into, the memory they build, the controls you keep, and where the whole thing runs.
Evaluating rather than reading? The full capability list →Every operating system is built on the same four primitives, and so is this one. Processes are isolated from each other, access runs through typed tools rather than raw credentials, storage is shared so what’s learned outlives any single session, and every action taken is recorded.
Agents aren’t one thing. They sit on a spectrum from rigid task runners, through general assistants, to the category Lifter is built for.
Strength. Predictable for known, well defined flows.
Limit. Rigid. Breaks on the first edge case. No judgement, no memory, no learning.
Strength. Helpful on any question, with real judgement and reasoning.
Limit. Per person. No shared context, no governance, and no work happens unless someone is typing.
Built for. Agents embedded in the organisation, learning over time, with the controls a real company needs.
The point. A workforce that operates the business alongside your team, whether anyone is watching or not.
An agent is a self contained unit with its own identity, its own permissions and its own memory. Not a black box, and not a saved prompt.
An agent's handbook is written English. Its memory is plain files. Anyone on your team can open either and correct what’s wrong.
Allow, ask or deny on each individual action inside each connected system, not a switch on the whole application.
Each agent runs as its own process with its own identity. That’s what makes scheduled and event driven work possible at all.
Connectors, skills, memory, agents, approvals and audit all live in one system. That’s what stops AI adoption fragmenting into forty private accounts nobody can see.
Managed in one catalogue. Connect a system once, allocate it to the right teams and agents, revoke instantly.
A shared library. Pre-built handbooks for common operations, plus your own. Distribute to every relevant agent at once.
Organisational, not personal. Agents share institutional knowledge rather than one person's chat log.
One place to set the rules and one place to see what happened.
That’s the compounding effect, and it’s the reason a business that has run Lifter for a year is in a materially different position from one starting today.
Every action an agent can take gets one of three stances, set per tool rather than per app. Start narrow. Widen as it earns the room.
Low risk, reversible, audited. Runs without asking. Drafting a note, building a dashboard, summarising a thread.
Pauses for a person in the channel your team already uses. The default for anything that touches a customer, costs money or changes inventory.
Not available to that agent at all. They don’t see it. They can’t try to use it.
Agents work through typed tools, not raw keys. Every credential lives in Lifter's own store and is checked against your policy before any call is made, with secrets redacted on the way back. A prompt injection can raise a request for approval. It can never take an action on its own.
Requests are persisted, so they survive a restart, expire on a known clock and are recorded with their outcome. Not a message that disappears when a laptop closes, and not addressed to whoever happened to be in the session.
Work doesn’t belong entirely to the agents or entirely to your team. It moves between them. Columns you define, transitions you type, and a rule on each one saying whether it fires automatically and wakes the next agent, or stops and waits for a person.
The stages match how your business already works. We don’t ask you to adopt someone else's process to use the platform.
Some fire the moment their condition is met and wake the next agent. Others hold until the accountable person answers. You set which is which.
Nobody is watching a separate queue. A card handled by a person and a card handled by an agent are recorded identically.
What your agents know about your business lives in plain files your team can open, read and edit. One person teaches an agent something and every agent benefits. Nothing walks out the door when someone does.
Organised the way a person would organise a wiki. Open it up and change what’s wrong.
Not personal. It stays with the business when a person leaves.
Change the model underneath and the agent keeps everything it learned.
Hub is optional. On premises, in your own cloud, or air gapped. Pick the deployment that survives your security review.
The multi tenant operator interface, authentication flows and connector catalogue all live in Hub. Your data stays in your Gateway.
The Gateway loads its own configuration, holds its own credentials and exposes its own tools. Nothing leaves your perimeter.
That’s the one sentence answer to the question a security team always asks, and it isn’t something every platform in this category can give.
Models are configurable by design. Lifter runs on a default model with a backup configured behind it, so if the default has an outage, work fails over to the backup without downtime.
Tool access. The same connectors with the same scopes.
Permissions. Allow, ask and deny apply exactly as you set them.
Credentials. Held by the Gateway. Never delivered to any model.
Approvals. The same queue and the same approvers.
Audit. One ledger covering every action.
Agents, skills, memory, connections, automations and built applications sit on Lifter’s layer, along with the platform configuration around them.
Because Lifter isn’t dependent on any specific LLM, a change of model changes none of that. The work you’ve put into your agentic workforce is protected and stays yours.
The Hub is fully white label. Your logo, your colours, your typeface, your domain. To your team it feels like a tool your company built, because to all intents and purposes it is.
Your wordmark and app icon throughout.
Your accent applied across the interface.
Choose from a curated typeface set.
ai.yourcompany.com rather than ours.
A thirty minute call. We’ll show you the platform running against systems you recognise, and scope the first agents with you.