Turn high-volume quote requests into fast, controlled responses.
ZioniX turns fragmented enquiries, pricing data and product rules into a reliable quoting workflow—so your team can respond sooner without sacrificing judgement or control.
When quoting becomes the constraint on growth
Demand is not the problem if the commercial team cannot process it quickly enough. Manual quoting often spreads work across inboxes, spreadsheets, ERP lookups and individual experience—making response times unpredictable and difficult to scale.
Built for distributors, manufacturers, logistics providers and B2B teams where quote volume is high, inputs are inconsistent and response time influences whether demand converts.
The inbox is the queue
Requests are triaged manually, so urgent or valuable opportunities can sit behind routine work.
Knowledge lives with individuals
Product matching, pricing judgement and exception handling depend on whoever happens to pick up the request.
Speed and accuracy compete
Moving faster increases the risk of missed requirements, pricing errors or incomplete records elsewhere in the business.
One workflow. Every step visible.
The orchestration layer coordinates the full journey from enquiry to recorded response. Straightforward work moves quickly; ambiguity and commercial risk are surfaced to the right person.
- 01
Capture
Monitor agreed inboxes, forms and attachments for new quote requests.
OutputA tracked request with a clear received time
- 02
Understand
Extract products, quantities, specifications, deadlines and customer context from unstructured inputs.
OutputStructured requirements ready for validation
- 03
Validate
Check customer, product, stock and pricing information against the systems and rules you trust.
OutputConfirmed inputs or a precise exception
- 04
Prepare
Build a quote or draft response using approved templates, commercial rules and source data.
OutputA customer-ready draft with traceable sources
- 05
Approve
Route work by value, margin, confidence or exception type so the right level of oversight is applied.
OutputApproval, correction or escalation
- 06
Respond & record
Send the approved response and write the activity back to CRM, ERP or the operational record.
OutputA closed loop with no duplicate admin
Build the case with operational evidence.
The business case is measured against your current quoting baseline. We agree the definitions first, then track improvement as the workflow moves from assistance to greater autonomy.
Assess your current baselineResponse time
Receipt → customer-ready quote
See how quickly demand receives a useful commercial response, not simply an acknowledgement.
Manual touch
Minutes and interventions per quote
Measure where people add judgement and where repetitive handling has been removed.
Quote quality
Corrections, omissions and exceptions
Track accuracy and the reasons work needs intervention, so the system improves deliberately.
Revenue capture
Quote volume, follow-up and conversion
Connect faster throughput to the commercial outcomes that matter to the business.
Start contained. Expand on proof.
The first deployment is deliberately narrow enough to measure and useful enough to matter.
- 01
Prove the workflow
Map one contained process, agree the baseline and put the first AI-assisted flow alongside your team.
- 02
Earn trust with evidence
Review real outcomes, strengthen exception handling and measure quality before autonomy expands.
- 03
Scale what works
Increase throughput and extend the proven pattern into adjacent work without a disruptive replacement programme.
Designed to stop safely.
Quoting carries commercial risk. ZioniX makes controls part of the workflow instead of relying on a final manual sense-check to catch everything.
Rule-bound pricing
Quotes are grounded in approved price sources, customer agreements and margin rules—not invented values.
Confidence-based review
Low-confidence interpretations and material exceptions are sent to a person with the context needed to decide.
Traceable decisions
Inputs, rules, approvals and system actions are recorded so every response can be understood and reviewed.
Connect the systems already doing the work.
The exact architecture follows your workflow, data ownership and the supported capabilities of each platform.
- Shared and individual sales inboxes
- ERP product, stock and pricing data
- CRM accounts, opportunities and activity
- Quote templates and commercial rules
- Approval and exception queues
- Reporting and operational dashboards
What teams ask before a first conversation.
Does AI send every quote automatically?+
No. The initial workflow normally prepares and validates a draft for human approval. Automation can increase for well-understood request types once accuracy, controls and business outcomes have been demonstrated.
Can it handle incomplete or ambiguous enquiries?+
Yes—by treating ambiguity as an exception, not guessing. The workflow can identify missing information, draft a clarification request or route the enquiry to the right commercial owner.
Will this replace our CPQ, ERP or CRM?+
Usually not. ZioniX coordinates work across the tools you already rely on, using them as systems of record while removing the manual steps between them.
Where would we start?+
With a contained quote type that has meaningful volume, clear source data and measurable delays. That creates a useful first deployment without trying to automate every commercial edge case at once.
Continue through the operation.
AI Email Order Processing
Process orders from email with AI. Extract purchase order details from messages, PDFs and spreadsheets, validate them and prepare ERP orders for approval.
AI ERP & CRM Integration
Connect AI-assisted operational workflows with ERP, CRM, email and internal systems using controlled actions, approvals and traceable data.
Plan the control. Prove the value.
Human-in-the-loop automation
A practical guide to meaningful human oversight, automation bias, exception design and the safeguards needed before AI autonomy expands.
Calculate automation ROI
Build a defensible automation business case using baseline labour, rework, running costs, implementation spend and measurable commercial value.
Tell us where work piles up.
We'll come back within one business day with a clear view of how AI orchestration could help — and what the first phase would look like.
- No long sales process
- A discovery call, not a pitch
- Honest read on whether we're a fit