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Prism GroupPRISMGROUP
SpectraIQ.aiIndependent company · Prism founder is a shareholder
SpectraIQ.ai

Every lead.
Every customer.
One intelligence layer.

SpectraIQ.ai brings AI into the everyday operation of the dealership — connecting customer engagement, sales, service, parts, marketing and operational intelligence through one intelligent platform.

Built for the way Australian dealerships actually operate.

SpectraIQ.ai is an independent Delaware C Corporation founded and operated by a team of co-founders, with strategic participation from Prism's founder. Prism Group and SpectraIQ.ai are separate corporate entities.

  • 01Leads
  • 02Customers
  • 03Sales
  • 04Service
  • 05Parts
  • 06Marketing
  • 07Data
  • 08Workflows

SpectraIQ Intelligence Layer

  • Insight
  • Action
  • Automation
  • Growth

The problem

Dealerships don't have a data problem.
They have an intelligence problem.

Modern dealerships generate enormous amounts of information every day. The information is rarely the constraint — connecting it to a decision is.

Where the information lives

CRMDMSLead channelsWebsitePhoneSales activityServicePartsMarketingCustomer interactionsWorkforceFinanceOEM systems

Data exists.

Reports exist.

Dashboards exist.

But decisions are still slow.

  • 01CRM
  • 02DMS
  • 03Lead sources
  • 04Service
  • 05Parts
  • 06Marketing
  • 07Customer

SpectraIQ intelligence

  • Prioritise
  • Engage
  • Follow up
  • Convert

Action

  1. Prioritise
  2. Engage
  3. Follow up
  4. Convert
  5. Retain
  6. Optimise

Built on the Prism philosophy

AI that becomes part of how the business operates.

AI should not exist as a layer of experimentation around a business. It should become part of how the business operates — inside the workflows, decisions and measures that already run the dealership.

  1. Identify opportunity

  2. Connect intelligence

  3. Automate action

  4. Measure value

  5. Scale impact

The platform

One platform.
One intelligence layer.

One platform, nine modules across sales, service, parts, customer experience and marketing. Three sales modules are live today; the remainder are on the roadmap.

Nine modules

One shared data model and one intelligence layer

Three live

AI Leads Management · AI Sales Accelerator · AI Dead Leads Revival

Six on roadmap

6 modules across service, parts, CX and marketing

Australian built

AWS Sydney hosting and Privacy Act 1988 controls

Sales

  • AI Leads Management

    Live
  • AI Sales Accelerator

    Live
  • AI Dead Leads Revival

    Live

Service

  • AI Service Advisor

    Roadmap
  • AI Predictive Maintenance

    Roadmap

Parts

  • AI Parts Desk

    Roadmap

Customer experience

  • AI Digital Concierge

    Roadmap
  • AI Complaints Care

    Roadmap

Marketing

  • AI Marketing Studio

    Roadmap

The dealership operating system

Select a department. Explore the module. See the flow it changes.

Sales modules

AI Leads Management

Live

Never miss a lead.

AI responds, qualifies, prioritises and follows up with every enquiry so high-value opportunities don't disappear into the pipeline.

What we solve

  • Enquiries that sit unanswered outside showroom hours
  • Uneven qualification depending on who picks up the lead
  • High-intent buyers treated identically to browsers
  • Follow-up that stops after the first attempt

What it does

Rapid enquiry responseLead qualificationIntent detectionBudget signalsVehicle preferenceTrade-in intentAppointment opportunityAutomated follow-upLead prioritisationCRM intelligence

The flow

  1. Lead arrives
  2. AI understands
  3. Lead scored
  4. Next best action
  5. Human or AI engagement
  6. Appointment
  7. Sale

Why it matters

Speed and consistency of first response are among the few levers a dealership controls on every single enquiry.

Opportunity Studio

Model the opportunity before you build it.

Opportunity Studio is a live executive decision engine that models the commercial opportunity created by improving key dealership performance levers — not a conventional calculator.

Your dealership baseline

The levers

Modelled opportunity

Annual gross upside

$317,860

Additional vehicles

84

Capacity released

614 hrs

Payback

3.6 months

Baseline units per year133.1
Modelled units per year216.7
From dormant re-engagement16.2
Annual enquiries3,840
How this is calculated

Units = annual enquiries × contact rate × appointment rate × test-drive rate × close rate.

Opportunity = (modelled units − baseline units) × gross per unit, plus dormant records re-engaged × an illustrative 1.5% conversion.

Capacity released = annual enquiries × 4 routine touches × 6 minutes × share automated.

Payback = annual investment ÷ monthly gross upside.

All figures are illustrative examples for modelling purposes only. They are not a forecast, guarantee or claim of results.

What if?

What if your dealership could see the opportunity before you act?

Switch levers on and off to see how the modelled opportunity changes. Every figure here is an illustrative example.

Choose what changes

Modelled against an illustrative dealership: 320 enquiries per month, $3,800 gross per unit, 9,000 dormant records.

Opportunity changes

Revenue opportunity$441,262

Illustrative revenue at a 6× gross multiple

Gross profit opportunity$73,544

Additional gross from modelled units

Capacity opportunity0 hours

Routine follow-up effort returned to the team

Illustrative modelling only. Actual outcomes depend on the dealership environment, data quality and execution.

Dealership Intelligence Centre

One view of the business.

The operational intelligence centre for the dealership: what happened, what changed, why it changed, what matters now and what to do next.

Dealership Intelligence Centre

Illustrative interface

Today

Business health

Enquiries
412
Appointments
126
Deliveries
48

What changed

Variance

Contact rate
+6pp
Response time
−41%
Service retention
−2pp

Why

AI explanation

Driver
After-hours coverage
Channel
Marketplace enquiries
Constraint
Service reminders unsent

What matters

Priority

Rank 1
38 high-intent leads
Rank 2
Unconfirmed appointments
Rank 3
Overdue service owners

What to do

Recommended action

Now
Call the scored top 20
Today
Confirm appointments by SMS
This week
Launch service recall list

Role-based intelligence

One platform.
Different lenses.

Dealer principals, general managers, sales and BDC teams, service, parts, marketing, customer experience, multi-rooftop groups and OEMs each need a different answer from the same intelligence.

Dealer Principal

“What is driving profitability?”

Group profitability, department contribution and the levers moving margin this month.

Profit drivers

Front + back gross by department

Biggest leak

Unworked enquiries in the last 7 days

Trend

Conversion vs prior period

The AI decision loop

From data to decision to action.

See, understand, predict, recommend, act, learn. The loop is the product.

01

See

What is happening?

02

Understand

Why is it happening?

03

Predict

What is likely to happen?

04

Recommend

What should we do?

05

Act

Execute the next action.

06

Learn

Measure the result.

One AI fabric

Every module. Every rooftop.
One intelligence layer.

Rooftop 01

CRM · DMS · Service · Parts

Rooftop 02

CRM · DMS · Service · Parts

Rooftop 03

CRM · DMS · Service · Parts

Rooftop 04

CRM · DMS · Service · Parts

SpectraIQ

One intelligence layer

Group intelligence

Comparable performance across every rooftop, on shared definitions and one data model.

Multi-rooftop intelligence

See the group.
Manage the rooftops.
Act at the detail.

The same intelligence reads from group level down to the individual customer, so a group conversation and a consultant's next call are built on the same data.

Group

Portfolio performance and where to invest attention.

Rooftop

Site-level performance against comparable measures.

Department

Sales, service, parts and marketing contribution.

Employee

Activity, response and conversion behaviour.

Customer

The individual opportunity and next best action.

Architecture & integrations

Intelligence doesn't work in isolation.

Every dealership environment is different. Integration and deployment are assessed case by case to determine the most appropriate approach for each customer.

  • 01CRM
  • 02DMS
  • 03Website
  • 04Lead sources
  • 05Marketing
  • 06Service
  • 07Parts
  • 08Customer data

SpectraIQ Intelligence Layer

  • AI applications
  • Dashboards
  • Workflows
  • Automation

The technology stack

Five layers, one system of intelligence.

Layer 05

Experience

DashboardsAI interfacesCustomer interaction

Layer 04

AI applications

LeadsSalesServicePartsMarketingCX

Layer 03

Intelligence

LLMsPredictive modelsRulesScoringRecommendations

Layer 02

Orchestration

WorkflowsAPIsAutomationHuman escalation

Layer 01

Data

CRMDMSCustomerOperational data

Security & trust

AI you can trust with your business.

Dealership data is customer data. It is treated accordingly.

Data residency

Hosted in AWS Sydney, keeping dealership data in Australia.

Privacy

Privacy Act 1988 controls applied at the data plane.

Compliance

ACMA obligations considered in customer communication workflows.

Security

Enterprise security architecture; SOC 2 programme in progress.

Governance

Controlled AI workflows with defined scope and escalation.

Auditability

Traceable interactions and decisions where applicable.

SOC 2 programme in progress. No certification is claimed until complete.

Responsible AI

AI should augment judgement.
Not replace accountability.

Recommendations are surfaced to people who remain accountable for the decision. Workflows are scoped, escalation paths are defined, and data protection is designed in rather than added later.

  1. AI recommendations

    Explainable signals behind every score.

  2. Human oversight

    People stay accountable for commercial decisions.

  3. Controlled workflows

    Scoped actions, not open-ended autonomy.

  4. Escalation

    Defined hand-off to the right team member.

  5. Governance

    Documented scope, review and change control.

  6. Data protection

    Australian hosting and Privacy Act controls.

The SpectraIQ method

How implementation actually works.

Timelines depend on the dealership environment. Many customers are operational within days, with implementation planned collaboratively based on existing systems and workflows.

01

Discover

Understand the dealership environment, systems and commercial priorities.

02

Connect

Map systems and data, assessed case by case for each dealership.

03

Configure

Deploy the relevant AI modules for the opportunity identified.

04

Activate

Train teams and launch workflows with human oversight in place.

05

Measure

Track commercial impact against the baseline agreed up front.

06

Optimise

Continuously improve scoring, workflows and coverage.

Business value

AI should pay for itself.

More leads converted

More customers retained

More workflow capacity

Less operational friction

Equals

Greater dealership profitability

SpectraIQ turns AI from an innovation project into a commercial performance system — which is exactly what Prism Group exists to do.

Before / with SpectraIQ

The same dealership, operating differently.

Rapid response

AI qualification

Automated follow-up

Connected intelligence

Proactive alerts

AI-assisted workflows

Visible opportunity

Dealership AI maturity

From experimentation to an AI-native dealership.

Most dealerships sit between level one and level two. SpectraIQ exists to move them upward, one workflow at a time.

Level 03

AI workflows

AI is embedded inside dealership processes.

Where SpectraIQ helps

  1. Connect the data that already exists

  2. Embed AI inside the workflows that create value

  3. Make the decision, not just the dashboard

  4. Measure the commercial result and repeat

Why SpectraIQ

Vertical intelligence, not general-purpose AI.

Built for dealerships

Not generic enterprise software adapted to automotive.

One intelligence layer

Multiple AI capabilities working together, not isolated tools.

Commercial first

Start with measurable business opportunity, not technology.

Australian context

Built around Australian dealership requirements and obligations.

Modular

Deploy the modules that matter to the opportunity identified.

Scalable

Extend across departments and rooftops on one fabric.

Generic AI

  • Answers questions
  • Generates content
  • Assists users

SpectraIQ

  • Understands dealership context
  • Connects business data
  • Identifies opportunities
  • Recommends action
  • Automates workflows
  • Measures commercial impact

The SpectraIQ manifesto

Dealerships don't need more software.
They need better intelligence.

They don't need another dashboard. They need to know:

Who matters?

What changed?

Why did it change?

What opportunity are we missing?

What should we do next?

And did it work?

That is the SpectraIQ promise.

Questions dealers ask

Straight answers.

How fast can a dealership go live?

Timelines depend on the dealership environment. Many customers are operational within days, with implementation planned collaboratively based on existing systems and workflows.

What about the Privacy Act?

Data is hosted in AWS Sydney with Privacy Act 1988 controls applied at the data plane.

Does SpectraIQ replace the BDC?

No. It is designed to support overflow, after-hours and cold-lead work so the best agents stay on the highest-intent customers.

Which dealer systems are supported?

Every dealership environment is different. Integration and deployment are assessed case by case to determine the most appropriate approach for each customer.

Which modules are live today?

AI Leads Management, AI Sales Accelerator and AI Dead Leads Revival are live. The service, parts, customer experience and marketing modules are on the roadmap.