Clarix AI ai.clarix.mu

AI workflows & automation

The work your team repeats every week, handed to software.

We start with the processes you'd never put in a job description — retyping invoices, chasing approvals, rebuilding the same report. Then we automate the ones worth automating.

Typical first build

2–4 weeks

One process, running in production, with your team trained on it.

Where we start

Your inbox

The highest-volume repetition in most SMBs is email-shaped.

What you own

All of it

Your accounts, your data, documented handover. No lock-in.

What we build

01

Workflow automation

Invoicing, approvals, recurring reports, notifications, data moving between systems that were never meant to talk.

Typical build: 2–4 weeks

02

Assistants & chatbots

After-hours customer triage, and internal assistants that answer from your own documents rather than guessing.

Customer-facing · internal

03

Data & reporting

Numbers pulled from your systems into one dashboard, with the monthly report assembled before you ask for it.

Dashboards · scheduled reports

04

CRM & sales automation

Lead capture, follow-up sequences, pipeline hygiene, and alerts when a real opportunity goes quiet.

Follow-ups · scoring · pipeline

05

Document intelligence

Invoices, contracts, delivery notes and forms read automatically, with anything unusual sent to a human.

Extraction · validation · exceptions

06

Custom integrations

Connecting the tools you already pay for. Most automation value is in the gaps between them.

APIs · middleware · handover docs

How a project runs

We automate one process at a time and put it live before starting the next. You see value before the invoice grows.

01

Shadow

We sit with the person who does the task and time it honestly. Some processes should be deleted, not automated.

02

Estimate

Hours returned per month, build cost, running cost. If the maths doesn't work we tell you before you commit.

03

Build & run in parallel

The automation runs alongside the manual process until the outputs match for two weeks straight.

04

Hand over

Documentation, training, and a monitoring plan. You can keep us on retainer or take it in-house.

Case note

Freight forwarder, month-end reporting

Two staff spent the first three days of every month pulling numbers from four systems into a spreadsheet. Now the figures arrive assembled on the 1st, with the exceptions flagged for a human to check.

Roughly 40 hours a month back, and the report is no longer late.

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Your automation story here

Swap in one real build — the process, the hours saved, the systems involved — and this becomes a proper case study.

Free AI opportunity audit

We look at three of your recurring processes and estimate the hours each would return. Written up, no commitment.

Request the audit