Customer communications and BDC
Connect inbound and outbound calls, messaging, video, appointments, routing, recording, transcription, summaries, intent, follow-up, and agent assistance.
Automotive Retail
Intelligent Automotive Retail, F&I & Deal Operations
Bring customer communications, BDC, appointments, DMS, CRM, vehicle data, trade-in evidence, lender programs, F&I workflows, document preparation, and human approval into one private or hybrid dealership intelligence environment.
OPTIME does not present this as a finished autonomous F&I product. OPTIME can engineer the governed intelligence and workflow layer around the dealer group’s existing systems, use Baasi for communications, apply AI and computer vision where they add value, and keep consequential credit and deal decisions under approved rules and human authority.
WHY THIS MATTERS
A retail deal crosses communications, vehicle, document, lender, and governance systems.
Customer and deal information is repeatedly transferred between systems and teams.
The opportunity is to connect the dealership journey from first communication through deal funding and later service without implying that AI should independently make credit or legal decisions.
- inbound leads;
- calls;
- messaging;
- appointments;
- CRM;
- DMS;
- vehicle inventory;
- trade-ins;
- credit applications;
- lender programs;
- OEM incentives;
- F&I products;
- disclosures;
- contracts;
- funding;
- service.
Connect dealership communications, customer journeys, DMS and CRM data, vehicle evidence, lender programs, F&I workflows, documents, and human approvals through one governed intelligence layer.
SYSTEM PRESSURES
Why simple implementations break down.
Customer communications are disconnected from deal context
Calls, messages, appointments, and agent notes may not become useful structured context in CRM and sales workflows.
Deal data is fragmented
DMS, CRM, credit, incentives, lenders, trade-in evidence, products, and dealership policy remain separate.
F&I research is repetitive
Teams repeatedly look up lender programs, eligibility, product rules, disclosures, and documentation requirements.
Document packages contain avoidable gaps
Missing fields, inconsistent information, or unsupported documents delay funding and create rework.
Trade-in evidence is inconsistent
Photos and walk-around video may not follow one capture, condition, and review workflow.
AI recommendations may lack explanation
A model recommendation is not useful when the dealership cannot trace the data, rules, and evidence supporting it.
COMPLETE SOLUTION
Engineer the workflow as one controlled production system.
The complete system can connect Baasi communications, BDC and contact center, voice, messaging, video, call recording, STT, CRM, DMS, customer applications, vehicle data, OEM incentives, credit data, Dealertrack, RouteOne, lender programs, trade-in information, product catalogs, dealership policy, documents, disclosures, funding workflows, computer vision, private AI, human approval.
CAPABILITY GROUPS
What the complete Solution can contain.
CRM and DMS intelligence
Normalize and connect customer, vehicle, inventory, opportunity, appointment, deal, document, and communication context.
Lender-program retrieval
Retrieve approved lender requirements, program terms, eligibility rules, and supporting information for dealership review.
Deal-structuring assistance
Compare permitted structures, incentives, products, customer requirements, and lender-program constraints using approved rules and calculations.
F&I product and menu preparation
Prepare customer-specific product information, eligibility, disclosures, and menu drafts for authorized presentation.
Document completeness and validation
Check required fields, consistency, supporting evidence, signatures, disclosure presence, and exception status.
Funding workflow
Track submitted packages, lender requests, missing documents, exceptions, approvals, and funding status.
Trade-in and vehicle evidence
Guide photo or video capture, organize visible-condition evidence, identify supported vehicle regions, and connect observations to appraisal or reconditioning workflows.
Human approval and explanation
Show source systems, program rules, calculations, exceptions, and evidence before a user accepts a recommendation or completes a deal step.
ARCHITECTURE FLOW
Connect the complete path from source and session to operation.
The flow begins with customers, bdc agents, sales teams, f&i users, managers, and lenders and preserves control through every processing and operating layer.
Customers
Customers, BDC agents, sales teams, F&I users, managers, and lenders
Baasi voice
Baasi voice, messaging, video, routing, recording, and contact center
CRM
CRM, DMS, vehicle, inventory, application, incentive, and deal data
Credit
Credit, lender-program, product, dealership-policy, and document sources
STT
STT, OCR, document extraction, retrieval, CV, and model analysis
Deterministic eligibility
Deterministic eligibility, calculation, disclosure, and workflow rules
Deal options
Deal options, evidence, exceptions, documents, and recommendation drafts
Authorized dealership and lender review
Authorized dealership and lender review
Contract package
Contract package, funding workflow, CRM/DMS updates, and follow-up
Access controls
Access controls, monitoring, model evaluation, and operational ownership
ARCHITECTURE DECISIONS
Make important trade-offs explicit before they become operating constraints.
Communications-first or data-first rollout
Approach A
Communications-first
Approach B
data-first rollout
Selection considerations
Begin where the dealer group has the clearest customer-experience or deal-operation pain.
Read-only assistance or system updates
Approach A
Read-only assistance
Approach B
system updates
Selection considerations
Start with analysis and draft preparation when direct changes to DMS or lender workflows require greater validation.
AI recommendation or deterministic eligibility
Approach A
AI recommendation
Approach B
deterministic eligibility
Selection considerations
Use approved program rules and calculations for consequential eligibility and credit-related decisions.
Central intelligence or store-level deployment
Approach A
Central intelligence
Approach B
store-level deployment
Selection considerations
Balance group-wide consistency with local connectivity, latency, workflow, and ownership.
Automated workflow or human approval
Approach A
Automated workflow
Approach B
human approval
Selection considerations
Keep credit, adverse-action, contract, pricing, and material deal decisions under authorized control.
REPRESENTATIVE SCENARIOS
How the Solution applies in representative situations.
Representative examples: Each scenario links communications and documents to the relevant DMS, CRM, lender, vehicle, and governed review workflow.
BDC call intelligence
- Scenario
- Calls are transcribed, summarized, classified, and connected to CRM opportunities and follow-up workflows.
Deal-package preparation
- Scenario
- Customer, vehicle, lender, incentive, product, and document information contribute to a structured package for review.
F&I menu assistance
- Scenario
- Approved products and program rules are organized into a customer-specific draft while the authorized user controls presentation and selection.
Funding exception workflow
- Scenario
- Missing evidence, lender requests, and inconsistent information are surfaced and routed.
Trade-in walk-around
- Scenario
- A guided video or photo workflow preserves condition evidence and prepares visible-condition indicators for appraisal review.
Multilingual customer communication
- Scenario
- Calls or video interactions use transcription and approved translation while preserving the deal context.
ENGAGEMENT APPROACH
Move from operating context to a validated production system.
Phase 1
Dealership workflow and system assessment
Map communications, BDC, DMS, CRM, lenders, documents, F&I, trade-ins, approvals, and store boundaries.
Phase 2
Representative dealership pilot
Prove one communication, F&I, document, funding, or trade-in workflow.
Phase 3
Platform and integration implementation
Connect Baasi, dealership systems, AI, rules, applications, evidence, and private infrastructure.
Phase 4
Store rollout and operational validation
Validate permissions, exceptions, data consistency, model behavior, human approval, scale, and ownership.
POSSIBLE DELIVERABLES
Evidence and implementation that can transfer into operation.
Dealership intelligence architecture
Baasi-powered BDC/contact center
CRM and DMS integrations
Call transcription and agent-assistance workflow
Lender-program retrieval
Deal-structuring assistance
F&I menu and disclosure workflow
Document-completeness engine
Funding-status application
Trade-in evidence capture
Vehicle-condition assistance
Private AI environment
Monitoring and operational documentation
Final deliverables depend on the selected architecture, validation evidence, and engagement scope.
Start with the workflow, evidence, integration, deployment, performance, and operating constraints that determine whether this system can work in production.
START A TECHNICAL CONVERSATION
Discuss the system, constraints, and engineering outcome.
Share the product, workload, architecture, infrastructure, performance, security, or delivery constraint that must be resolved.
Austin, Texas
Distributed engineering teams across North America, Europe, the Caucasus, and Latin America.
[email protected]