M
MOGG
AI//DEALERSHIP
// USE_CASES

Three roles.
Measurable gains.

A local AI assistant sits over the knowledge your dealership already owns — procedures, warranty rules, inventory notes, CRM exports, commercial policies. Below, what each role gets.

// 01 // SERVICE

Value for the Service Manager

Advisor speed, process discipline, coaching quality.

// CAPABILITIES
  • Instant answers for SOPs, warranty policy, labor operations, inspection logic, escalation paths.
  • More consistent service write-ups, estimate explanations, customer-facing responses.
  • Lower dependence on senior advisors or technicians carrying tribal knowledge.
  • Faster onboarding for new advisors and coordinators through conversational access to internal docs.
OPERATIONAL FRICTION
BENEFIT
Slow warranty or procedure lookup
More lane throughput, less waiting time
Inconsistent advisor process
Better execution quality, clearer coaching
Knowledge trapped in senior staff
More resilient operations across shifts
Training takes too long
Shorter ramp time for new staff
// 02 // SALES

Value for the Sales Manager

Speed, consistency, tighter message control.

// CAPABILITIES
  • Faster lead response drafting, objection handling, appointment-setting support.
  • Natural-language retrieval of vehicle details, trim comparisons, offers, approved talking points.
  • More consistent BDC and showroom communication across a larger team.
  • A reusable coaching and script layer for new hires and underperforming reps.
OPERATIONAL FRICTION
BENEFIT
Slow or uneven lead follow-up
Improved first-response discipline
Inconsistent scripts across reps
Better brand and policy alignment
Product or inventory knowledge gaps
Stronger rep confidence in conversations
Long ramp-up for new sales staff
More scalable coaching, less manager time
// 03 // LEADERSHIP

Value for Leadership

Visibility into usage, time savings, and gaps.

// CAPABILITIES
  • Track average lookup time, advisor throughput, escalation delay, training ramp.
  • Measure lead response time, appointment rate, message consistency, coaching load.
  • Monitor active users, resolution rate, document freshness, support trends.
  • Expand to other departments gradually based on measurable results.
OPERATIONAL FRICTION
BENEFIT
No visibility into knowledge gaps
Clear view of what teams search for
Hard to quantify training ROI
Before/after measures by department
Scattered internal documentation
Document freshness and owner accountability
Unclear AI usage across the store
Session logging and role-based audit trail
// ARCHITECTURE

How the solution works.

01
Users

Service advisors, sales reps, managers. Role-based prompts.

02
Secure interface

Chat and search, scoped to the user's department.

03
Document grounding

Permissioned retrieval over approved sources only.

04
Local LLM stack

Inference, logging, admin controls — inside your environment.

// SECURITY_GOVERNANCE_OPS

Controlled. Auditable.

Security

Controlled environment. No forced public AI exposure. Scoped data access.

Governance

Named data owners. Prompt and workflow review. Change management.

Operation

Monitoring and support. Document refresh process. Role-based rollout.

Compliance

Clearer audit trail. Internal usage policies. Safer handling of records.

// ENGAGEMENT_MODEL

Four steps.

Step 1
Scoping

Define target workflow, document sources, users, initial scope.

Step 2
Pilot

One assistant, one department, controlled user group, before/after measures.

Step 3
Go-live

Permissions, monitoring, support routines, manager reporting.

Step 4
Expansion

Extend to other departments, add integrations, stabilize governance.

Scope a pilot for your store.

Open_channel