Rules plus AI, where it earns its placePart of AI & Automation

Turn repetitive operational work into a system that runs itself.

Rules-plus-AI automation for the repetitive, high-volume operational work that currently runs on people re-typing things between systems — sized honestly against what it actually costs today.

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AILIVE INFERENCE
Why it works
Sized against real cost

We measure what a task costs today before proposing to automate it.

High-volume, low-judgment first

We target the repetitive work where a model has enough signal to be reliably right.

Exceptions handled by people

A review queue catches what the automation shouldn't decide alone.

Frees up real hours

Time saved goes back into the parts of the business only people can do.

What we provide

Every offering under business process automation, in one place.

01

Workflow Mapping

Documenting how work actually happens today, before proposing to change it.

02

Rules + AI Automation

The right mix of deterministic rules and AI judgment for each step.

03

Internal Tool Integration

Automations wired into the systems your team already uses daily.

04

Exception Handling & Review Queues

A clear path for the cases the automation shouldn't decide alone.

05

Reporting Automation

Recurring reports generated automatically from the data you already have.

06

Ongoing Monitoring

Automations watched for drift, so quality doesn't quietly degrade over time.

How it runs

Our process for automation.

01

Measure

We measure the current cost of the task honestly, in hours and dollars.

02

Design

We design the automation and the exception path together, not as an afterthought.

03

Build

Shipped against one workflow first, proven, then expanded to the next.

04

Monitor

Ongoing monitoring catches drift before it becomes a real problem.

Technologies & platforms
Workflow automation toolsHosted & open LLMsAPIsInternal tooling
Related work

Case studies in automation.

CadenceAI fitness

A coaching business hitting a human ceiling: every plan written by hand, every Sunday, for forty clients per coach.

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LedgerlyFinTech

SME owners were making decisions on numbers three weeks old, then getting surprised by cash.

Read case study
StillpointMental wellness

A beautiful content library with a brutal problem: four in five people stopped opening the app in week two.

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Straight answers

Questions about automation.

How do you decide what's worth automating?

We measure volume, judgment required and the cost of a mistake. High-volume, low-judgment, reviewable work pays off fastest.

What if the automation gets something wrong?

Every automation ships with a review queue sized to the risk, plus monitoring that flags unusual outputs.

Do you need access to our internal systems?

Yes, scoped narrowly to what the automation actually touches — access is documented and revocable.

How fast do we see a return?

Depends on volume, but high-frequency workflows often pay back within a quarter.

Reviews

Trusted by the teams we've built with.

DFD2C Fitness App
”

Vaible didn't just build what we asked for — they told us what we actually needed, and it worked.

— Jordan, Head of Growth★★★★★
FTFinTech Startup
”

One shared board, weekly demos, no surprises. It's the first engagement that felt like an extension of our own team.

— Priya, Founder★★★★★

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