Good work
starts with
clear context.
AI-assisted workflows that turn a new enquiry into a prepared brief, a clear decision and a confident handover.
Follow a real-world
kind of enquiry.
A worked example of the journey from first contact to a prepared handover. Select a stage or run the walkthrough.
onboarding-desk / worked example — synthetic enquiry
What arrives
“Hi — we’re Harbour & Lane Interiors. We’ve just signed a lease on a second studio and need help with the fit-out. Can someone call us this week?”
Unstructured, friendly, and missing half of what your team needs. A normal Tuesday.
What the workflow produces
Client brief — #0142
NOT STARTED
- Client
- Request
- Source
- Missing
- Owner
- Next action
- Approved by
AI prepares · people decide
Illustrative data
walkthrough idle
Concept demonstration — no model is called, no data leaves your browser
01 — What we do
The work between “hello” and “kickoff”.
Most onboarding doesn’t fail in the meeting. It fails in the week before it — in the inbox nobody triaged, the document nobody read, the context that never reached the person who needed it.
We are an engineering practice for that stretch of work. GLDT builds workflows where AI does the preparation — reading what arrives, extracting what matters, assembling the brief — and people keep the decisions: what’s approved, what’s sent, what’s promised.
The result is not a chatbot on your website. It is an operating system for the first weeks of a client relationship: every enquiry structured, every gap flagged, every handover carrying its context with it.
AI handles the preparation. Your people own the decisions.
We implement inside the tools you already run — email, forms, documents, CRM, ticketing — and we agree the review boundaries with you before anything is automated.
02 — Anatomy
One workflow, five accountable stages.
Every engagement we build follows the same skeleton. The details are yours; the discipline is ours. Read across each row: what happens, what AI prepares, and where a person decides.
No.StageWhat happens · what AI preparesWhat a person decides
01
IntakeCapture without loss
Enquiries arrive from email, forms, referrals and introductions — and land in one place, in one shape. Nothing lives only in someone’s inbox.
Person decidesWhich channels matter, and what “a real enquiry” means for your business.
02
ExtractStructure from prose
AI reads the request and pulls out the fields your team needs — client, request type, dates, constraints — and flags what isn’t there yet.
Person decidesThe fields that matter, and which gaps block progress.
03
PrepareThe brief, assembled
A draft brief comes together: the request, relevant history, the missing pieces and a proposed next step — ready for a person, not instead of one.
Person decidesWhat “ready for review” looks like.
04
ReviewA checkpoint, not a bottleneck
Nothing consequential leaves without the right person seeing it. Review rules are agreed up front — by value, by client type, by risk.
Person decidesApprove, amend, or send back — with a reason on record.
05
HandoverContext travels
The next owner receives the original request, the reviewed brief and an explicit next action. Nobody starts by asking “so, what’s this about?”
Person decidesWho owns what happens next.
03 — Starting points
Four places an engagement usually begins.
These are starting points, not packages. Open one to see the shape of the work; the detail is always scoped with you. Full use-case notes →
03.1
New client onboarding
For firms where the first weeks set the tone of the whole relationship.
From first enquiry to a prepared kickoff: structured intake, document collection, a reviewed brief, and a handover your delivery team can act on.
Typical first scope
- Enquiry intake across email + website
- Extraction of the fields your team actually uses
- One review checkpoint with a named approver
01Enquiry capturedSystem
02Details extracted, gaps flaggedAI
03Brief reviewed & approvedHuman
04Handover to deliveryHuman
Route — client onboarding
03.2
Partner & supplier onboarding
For teams collecting documents, credentials and approvals from external parties.
Structure the request, track what’s been supplied, chase what hasn’t, and prepare a reviewed pack before the relationship moves forward.
Typical first scope
- Document checklist with status tracking
- Extraction from supplied files
- Review pack for the relationship owner
01Request & requirements issuedSystem
02Documents read & checkedAI
03Gaps chased, pack assembledAI
04Approval by relationship ownerHuman
Route — partner onboarding
03.3
Service request routing
For operations teams triaging mixed requests across shared inboxes.
Identify the type of request, attach the context it needs, and route it to the right team the first time — with an audit trail of why.
Typical first scope
- Request classification agreed with your team
- Routing rules with named owners
- Daily exception queue for a person to clear
01Request identifiedAI
02Context attached from historyAI
03Routed to owning teamSystem
04Exceptions reviewed dailyHuman
Route — service requests
03.4
Internal handovers
For organisations where work crosses teams and context gets lost in between.
Sales to delivery, delivery to support: we build the handover as a first-class object — request, history, open decisions, next action — instead of a forwarded thread.
Typical first scope
- Handover format agreed between two teams
- AI-prepared summaries from source material
- Acceptance step on the receiving side
01Work marked ready to hand overHuman
02Summary & open items preparedAI
03Receiving team acceptsHuman
04Context stays attachedSystem
Route — internal handovers
04 — Working with us
Principles we don’t negotiate.
Three commitments shape every workflow we build. They’re why our systems hold up after the launch announcement is forgotten.
P.01
Read before write.
New systems start by observing. AI drafts and prepares inside your existing tools before it is ever allowed to send, file or commit anything.
P.02
A person owns the decision.
Every consequential action has a named human checkpoint and a recorded reason. “The AI decided” is never an acceptable answer.
P.03
Context travels with the work.
A handover is incomplete until the next person can act without asking what happened. We design for that moment, not for the demo.
Asked often
Fair questions, straight answers.
Is the walkthrough above a live product?+
No. It’s a worked example with synthetic data, running entirely in your browser. It shows the stages of a workflow we’d design with you — it doesn’t call a model or send anything anywhere.
What does a first engagement look like?+
A short discovery on one workflow you want to fix, a written design with agreed review points, then a pilot inside your existing tools. You see the system work before its scope grows. Our approach →
Will it work with the systems we already use?+
That’s the starting assumption. Email, forms, documents and your CRM or ticketing stack are the inputs; integrations are agreed per engagement, never presumed.
Who is GLDT Solution?+
An Australian AI engineering practice operated by GL04UT04 PTY. LTD. (ABN 22 613 344 899), based in Norwest, NSW. Company details →
Start a conversation
Bring us the workflow that slows you down.
One process is enough to start. Tell us where requests arrive, where they stall, and who’s waiting on the other side — we’ll take it from there.
Email info@qorafintech.comEmailinfo@qorafintech.com
Phone02 9139 8816
VisitSuite 316, 2-8 Brookhollow Avenue,
Norwest, NSW 2153, Australia
Norwest, NSW 2153, Australia