How is Mechanus IQ different from a consultant or a dealership coach?

Consultants deliver recommendations and leave. Mechanus IQ installs SOP gates inside your workflows so the leakage we surface does not come back. The engagement is savings-anchored, not billable hours.

Do you receive any customer PII?

No. Mechanus IQ receives operational data only. Customer names, addresses, phone, email, and SIN are stripped at source before export. Employees are identified by anonymous dealership-issued personnel codes.

Where is our data stored?

AWS Canada Central region (Montreal). Canadian data residency is non-negotiable. PIPEDA-aligned architecture and AML-ready posture against FINTRAC framework.

What happens if you find nothing?

The mini-audit is free, with a typical turnaround of seven business days. If the paid engagement cannot surface recoverable margin within 90 days, the engagement is refunded in full. No performance fees. No commission.

Will you train AI models on our data?

No. Contract prohibits model training on client data. Zero analytics, zero session recording, zero third-party telemetry. Your operation stays invisible to everything outside of it.

Are you ready for BC Restricted Insurance Agent 2027?

Mechanus IQ was designed against the BC RIA 2027 regime from day one. Product-specific appearance-style review, GAP, warranty disclosure, and the proposed Rule 7(25) compensation trigger are all in the diagnostic surface.

MECHANUS IQ

Forensic operational intelligence

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Operational intelligence for dealerships

Operational
intelligence for
profit recovery.

Detect. Rank. Recover.

Your dealership is leaking profit every month. It hides across Sales, F&I, Service, Inventory, and Capital. Mechanus surfaces the leakage, ranks the recovery, and installs the gates so the same dollars stop walking out next quarter.

1044

Detection vectors

Domains

7-day

Mini-audit

90-day

Money-back

Canadian dealer leakage, year to date estimated

205,831,480.67

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Integrated in hoursPIPEDA-aligned architectureCanadian data residency

PhaseOBSERVE

ar g max f (x ∣ u, t) s.t. \partial L / \partial t \to 0 Δ π = \int (r (t) - ℓ (t)) d t min H (X ∣ Y) + λ ∥ ε ∥_{2} \nabla_{θ} J (θ) \to recoverable value D_{KL} (P ∥ Q) = \sum p (x) lo g \frac{p ( x )}{q ( x )} E [\overset{y}{^} ∣ x] = \sum p (y ∣ x) \cdot y σ (z)_{i} = \frac{e ^{z_{i}}}{\sum _{j} e ^{z_{j}}} L = - \sum_{i} y_{i} lo g \overset{y}{^}_{i} Var (X) = E [X^{2}] - (E [X])^{2} p (θ ∣ x) \propto p (x ∣ θ) p (θ) d_{M} (x, μ) = (x - μ)^{T} Σ^{- 1} (x - μ) z = \frac{x - μ}{σ} H (X) = - \sum p (x) lo g p (x) \nabla_{θ} \frac{1}{2} ∥ y - X θ ∥^{2} = X^{T} (X θ - y) R^{2} = 1 - \frac{\sum ( y _{i} - y ^ _{i} ) ^{2}}{\sum ( y _{i} - y ˉ ) ^{2}}

ar g max f (x ∣ u, t) s.t. \partial L / \partial t \to 0 Δ π = \int (r (t) - ℓ (t)) d t min H (X ∣ Y) + λ ∥ ε ∥_{2} \nabla_{θ} J (θ) \to recoverable value D_{KL} (P ∥ Q) = \sum p (x) lo g \frac{p ( x )}{q ( x )} E [\overset{y}{^} ∣ x] = \sum p (y ∣ x) \cdot y σ (z)_{i} = \frac{e ^{z_{i}}}{\sum _{j} e ^{z_{j}}} L = - \sum_{i} y_{i} lo g \overset{y}{^}_{i} Var (X) = E [X^{2}] - (E [X])^{2} p (θ ∣ x) \propto p (x ∣ θ) p (θ) d_{M} (x, μ) = (x - μ)^{T} Σ^{- 1} (x - μ) z = \frac{x - μ}{σ} H (X) = - \sum p (x) lo g p (x) \nabla_{θ} \frac{1}{2} ∥ y - X θ ∥^{2} = X^{T} (X θ - y) R^{2} = 1 - \frac{\sum ( y _{i} - y ^ _{i} ) ^{2}}{\sum ( y _{i} - y ˉ ) ^{2}}

ar g max f (x ∣ u, t) s.t. \partial L / \partial t \to 0 Δ π = \int (r (t) - ℓ (t)) d t min H (X ∣ Y) + λ ∥ ε ∥_{2} \nabla_{θ} J (θ) \to recoverable value D_{KL} (P ∥ Q) = \sum p (x) lo g \frac{p ( x )}{q ( x )} E [\overset{y}{^} ∣ x] = \sum p (y ∣ x) \cdot y σ (z)_{i} = \frac{e ^{z_{i}}}{\sum _{j} e ^{z_{j}}} L = - \sum_{i} y_{i} lo g \overset{y}{^}_{i} Var (X) = E [X^{2}] - (E [X])^{2} p (θ ∣ x) \propto p (x ∣ θ) p (θ) d_{M} (x, μ) = (x - μ)^{T} Σ^{- 1} (x - μ) z = \frac{x - μ}{σ} H (X) = - \sum p (x) lo g p (x) \nabla_{θ} \frac{1}{2} ∥ y - X θ ∥^{2} = X^{T} (X θ - y) R^{2} = 1 - \frac{\sum ( y _{i} - y ^ _{i} ) ^{2}}{\sum ( y _{i} - y ˉ ) ^{2}}

ar g max f (x ∣ u, t) s.t. \partial L / \partial t \to 0 Δ π = \int (r (t) - ℓ (t)) d t min H (X ∣ Y) + λ ∥ ε ∥_{2} \nabla_{θ} J (θ) \to recoverable value D_{KL} (P ∥ Q) = \sum p (x) lo g \frac{p ( x )}{q ( x )} E [\overset{y}{^} ∣ x] = \sum p (y ∣ x) \cdot y σ (z)_{i} = \frac{e ^{z_{i}}}{\sum _{j} e ^{z_{j}}} L = - \sum_{i} y_{i} lo g \overset{y}{^}_{i} Var (X) = E [X^{2}] - (E [X])^{2} p (θ ∣ x) \propto p (x ∣ θ) p (θ) d_{M} (x, μ) = (x - μ)^{T} Σ^{- 1} (x - μ) z = \frac{x - μ}{σ} H (X) = - \sum p (x) lo g p (x) \nabla_{θ} \frac{1}{2} ∥ y - X θ ∥^{2} = X^{T} (X θ - y) R^{2} = 1 - \frac{\sum ( y _{i} - y ^ _{i} ) ^{2}}{\sum ( y _{i} - y ˉ ) ^{2}}

ar g max f (x ∣ u, t) s.t. \partial L / \partial t \to 0 Δ π = \int (r (t) - ℓ (t)) d t min H (X ∣ Y) + λ ∥ ε ∥_{2} \nabla_{θ} J (θ) \to recoverable value D_{KL} (P ∥ Q) = \sum p (x) lo g \frac{p ( x )}{q ( x )} E [\overset{y}{^} ∣ x] = \sum p (y ∣ x) \cdot y σ (z)_{i} = \frac{e ^{z_{i}}}{\sum _{j} e ^{z_{j}}} L = - \sum_{i} y_{i} lo g \overset{y}{^}_{i} Var (X) = E [X^{2}] - (E [X])^{2} p (θ ∣ x) \propto p (x ∣ θ) p (θ) d_{M} (x, μ) = (x - μ)^{T} Σ^{- 1} (x - μ) z = \frac{x - μ}{σ} H (X) = - \sum p (x) lo g p (x) \nabla_{θ} \frac{1}{2} ∥ y - X θ ∥^{2} = X^{T} (X θ - y) R^{2} = 1 - \frac{\sum ( y _{i} - y ^ _{i} ) ^{2}}{\sum ( y _{i} - y ˉ ) ^{2}}

ar g max f (x ∣ u, t) s.t. \partial L / \partial t \to 0 Δ π = \int (r (t) - ℓ (t)) d t min H (X ∣ Y) + λ ∥ ε ∥_{2} \nabla_{θ} J (θ) \to recoverable value D_{KL} (P ∥ Q) = \sum p (x) lo g \frac{p ( x )}{q ( x )} E [\overset{y}{^} ∣ x] = \sum p (y ∣ x) \cdot y σ (z)_{i} = \frac{e ^{z_{i}}}{\sum _{j} e ^{z_{j}}} L = - \sum_{i} y_{i} lo g \overset{y}{^}_{i} Var (X) = E [X^{2}] - (E [X])^{2} p (θ ∣ x) \propto p (x ∣ θ) p (θ) d_{M} (x, μ) = (x - μ)^{T} Σ^{- 1} (x - μ) z = \frac{x - μ}{σ} H (X) = - \sum p (x) lo g p (x) \nabla_{θ} \frac{1}{2} ∥ y - X θ ∥^{2} = X^{T} (X θ - y) R^{2} = 1 - \frac{\sum ( y _{i} - y ^ _{i} ) ^{2}}{\sum ( y _{i} - y ˉ ) ^{2}}

Built for Canadian dealerships.
Held to Canadian law.

BC RIA 2027 designed
PIPEDA architecture
AML-ready posture
AWS ca-central-1
RFC 3161 evidence

Where profit disappears

Six operating pillars.
44 domains underneath each routed to evidence.

Most dealerships look strong on the P&L and still lose margin the reports cannot find. Mechanus keeps the first read simple while preserving drill-down to all 44 domains and 1044 vectors. Every finding routes to the operator who can act on it. Principal, multi-rooftop owner, F&I director, GM, CFO, or analyst.

Pillar 01

MVP entry

F&I Revenue & Compliance

Reserve compression, product-mix variance, cancellation drag, and handoff losses before BC RIA disclosure reshapes what you can earn.

Pillar 02

Sales & Desking Optimization

Pricing inconsistency, trade valuation spread, approval friction, and desk-to-delivery leakage that quietly compress front-end gross.

Pillar 03

Cash Flow & Funding Velocity

Contract-in-transit drag, funding lag, missed receivables, and timing failures that erode working capital before month-end.

Pillar 04

Service & Warranty Recovery

Unrealized claims, unpaid labor, missed remittance, and declining advisor yield that stay buried until the year-end variance.

Pillar 05

Inventory & Market Intelligence

Aging curves, floorplan burden, and remarketing drag, scored against a vector-driven fair-market-value model with VIN-aware comparables and geography-weighted demand signals. Not a static price feed.

Pillar 06

Financial Structure & OEM Recovery

OEM program participation gaps, audit exposure, lender readiness, and capital structure issues that surface only under inspection.

How it works

From raw signal to accountable action, in one cadence.

Mechanus is a governed operating system for profit recovery, not another analytics dashboard with a machine-learning label attached. The outputs are decisions, not charts.

Cadence

Observe → Model → Translate → Enforce

01
Observe
Surface the leakage
Mechanus ingests your operational data and resolves it into a unified leakage surface across commercial, financial, and behavioural domains.
02
Model
Rank the recovery
The system scores anomaly intensity, estimates recovery potential, and prioritises what deserves executive attention this quarter.
03
Translate
Move to operator action
You receive ranked actions, the economic case for each, and a recommended intervention order. Decisions, not charts.
04
Enforce
Install the gates
Findings become SOP gates inside your workflows. Hard gates block the action. Soft gates alert the operator. Audit gates flag the event for management review. The problems we surface do not come back.

Safeguards

Skin in the game.
Data in Canada.
Silence by design.

90-day money-back guarantee

If the diagnostic does not surface recoverable margin within the first 90 days, the engagement is refunded in full. No performance fees. No commission.

Canadian residency. PII-free.

All data held in AWS ca-central-1 (Montreal). Customer PII stripped at source. Staff identified by anonymous dealership-issued codes, never names.

Tamper-evident evidence.

Every finding is anchored to a dual-rail ledger architecture and RFC 3161 timestamp. A permissioned private rail captures the operational record; a public-chain rail is in design for cross-platform verifiability. Lenders and counsel see an evidence chain, not screenshots.

Zero tracking. Zero telemetry.

No analytics, no session recording, no third-party telemetry. Self-hosted monitoring only. Your operation stays invisible to everything outside of it.

Decision point

See what is leaking before the next quarter closes.

The mini-audit surfaces the highest-yield recovery opportunities with a ranked intervention order and an economic case for each. Typical turnaround is seven business days. If we cannot surface recoverable margin within 90 days, the engagement is refunded.

Review how it works Request the mini-audit

Operationalintelligence forprofit recovery.

Six operating pillars.44 domains underneath each routed to evidence.