AUTH ALIEN

Solutions

What a deployed system actually is.

Four archetypes cover almost everything we are asked to build. Each one below states the problem it answers, what gets installed, and the unit that appears on your invoice.

Back-office automation Customer-facing AI Pipelines & integrations Ops copilots
Archetype 01

Back-office automation

It clears the queue overnight and leaves you the exceptions.

The problem

A team spends its mornings on the same structured paperwork: invoices to code, forms to check, records to reconcile. It is slow, it is late, and the backlog is worst exactly when business is best.

The deployed system

A worker that watches the inbox or folder, reads each document, applies your coding rules, writes the result into your finance or records system, and routes anything it is not confident about to a named person with the reason attached.

What gets metered

documents processed · exceptions routed

Archetype 02

Customer-facing AI

It answers while you are closed and knows when to stop.

The problem

Enquiries arrive at every hour, most of them answerable from what you already know. The good ones cool off overnight; the repetitive ones consume the team that should be handling the good ones.

The deployed system

An assistant grounded in your own material — pricing, policies, availability — that answers, qualifies, books, and hands over to a human the moment the conversation needs judgement, money or an exception.

What gets metered

conversations resolved · qualified handovers

Archetype 03

Data pipelines & integrations

It moves the records on time and proves every hop.

The problem

Two systems disagree and nobody can say which is right or when they diverged. Month-end becomes archaeology, and the fix is a spreadsheet someone maintains by hand.

The deployed system

Declared flows between your systems with per-hop transforms, ordering guarantees and retries. Bad records are quarantined rather than allowed to poison a sync, and every hop leaves an entry you can read.

What gets metered

records reconciled · flow runs completed

Archetype 04

Ops copilots

It watches the operation and tells the shift lead what to do next.

The problem

The information needed to make the next decision exists, but it is spread across four screens and one person’s memory. By the time it is assembled, the decision is late.

The deployed system

A copilot that reads the live state of the operation, ranks what needs attention, and proposes the next action with the evidence behind it. Humans keep the decision; the assembly work disappears.

What gets metered

recommendations delivered · shifts covered

If it is none of these

The archetype matters less than the cadence.

The question we ask first is not “what kind of AI is this?” It is “how often does this work happen, and what does one completed instance of it look like?” If you can answer that, it can be built, run and metered.

Describe your work See how units are set
Good fit
Happens daily or hourly, has a definable “done”, and currently costs people time.
meterable
Good fit
Touches two or more systems that should agree but do not.
meterable
Poor fit
A one-off migration with no ongoing operation to run.
not our model
Poor fit
Work where no one can describe what a correct outcome looks like.
not yet

Every one of these started as a complaint.

Send us the one your team repeats most often. We will come back with the system shape and the unit it would be metered on.

hello@authalien.com How we build and run it