ADELAIDE

AI FOR BUSINESS

Less admin. More time.

Powerful AI, put to work for you.

Nordlith helps Adelaide businesses put AI to work on emails, routine administration and follow-ups—connected to the tools you already use, with your team in control.

Talk to Nordlith →Explore capabilities

01 / THE WORK

A business case needs more than an impressive demo

Before buying a custom assistant, establish how often the task occurs, what staff do now and where mistakes matter. We turn that into a workflow map, a prioritised first scope and a practical acceptance checklist. If a straightforward form or a reliable transfer between systems solves the problem, that should be visible before the AI build is commissioned.

02 / THE WORK

Illustrative example: Check a purchasing request before it reaches approval

A request arrives as an email with an attached supplier document. The workflow prepares the proposed supplier match, extracts the requested items and flags missing approval information. The purchasing owner checks the draft against the source before any commitment. A changed supplier detail becomes a separate verification task, rather than an automatic update to the master record.

03 / THE WORK

Choose your first Adelaide engagement

Start with the purchasing handover your team needs to improve. Compare a decision brief, a connection design and a bounded pilot. Delivery is remote, with your local process owner and IT contact.

Scope the decision

Choose this when the purchasing handover is unclear or teams disagree about what should change.

First deliverable: A request-to-decision map, prioritised first scope and acceptance criteria.

What you bring: A redacted purchase request, its source record and known supplier-verification exceptions.

Owner: Your purchasing process owner accepts the scope; purchasing authority stays with your team.

Support boundary: No build or ongoing support is implied by the decision brief.

Discuss the first decision ↗Explore the delivery process ↗

Design the connection

Choose this when the handover is understood but staff re-key purchasing information between tools.

First deliverable: A source-to-record field map, exception path and approval specification.

What you bring: The authoritative records, sample fields, permission limits and a named IT contact.

Owner: Your system owner approves mappings; the purchasing owner accepts the exception and fallback rules.

Support boundary: Agree implementation and ongoing ownership separately from this design.

Discuss the connection ↗Explore systems integration ↗

Pilot and hand over

Choose this when one stable, approved workflow is ready for a bounded first implementation.

First deliverable: A tested workflow, operator runbook and an explicit ongoing-support decision.

What you bring: Representative test records, acceptance checks, a reviewer and the person who will operate it.

Owner: Your named operator accepts the handover; authorised people retain purchasing and supplier-change decisions.

Support boundary: Agree who monitors exceptions, can pause the trigger and owns rollback before release.

Discuss a bounded pilot ↗Explore controlled automation ↗

04 / THE WORK

What to bring to discovery

Bring a redacted purchasing request and its attachment to show how the task is currently handled. Document the current handling frequency and the specific steps staff take to process each request. Identify the supplier-change verification owner who must check drafts against the source before commitment. Define approval threshold rules and provide acceptance examples that reflect the inconvenient inputs you encounter.

05 / THE WORK

A practical remote brief for an Adelaide team

Discovery and demonstrations can be delivered remotely. Include both the person doing the admin and the person approving the spend. For teams spanning states, agree meeting times using named time zones rather than assuming an hour-based offset throughout the year. Access, ongoing ownership and any onsite requirement are settled in the scope.

06 / THE WORK

Bring the task and its cost drivers

An example request, approximate frequency, current handling steps and known exceptions let us discuss useful scope without inventing a fixed price or a savings forecast.

Before we start.

Can discovery recommend a simpler solution than AI?

Yes, discovery establishes how often the task occurs and where mistakes matter. If a straightforward form or a reliable transfer between systems solves the problem, that should be visible before the AI build is commissioned. The goal is a practical acceptance checklist, not just an impressive demo.

What information is needed to discuss cost?

We need to understand the task frequency, current staff steps, and where errors have impact. This helps us turn the process into a workflow map and a prioritised first scope. Including both the person doing the admin and the person approving the spend ensures the scope reflects real operational needs.

CONTINUE WITH THE RIGHT QUESTION

A useful next step.

START WITH ONE PIECE OF WORK

What would be easier
if this worked properly?

Tell us where time or follow-through is being lost. We will start with the problem, not a product pitch.

Talk to Nordlith →