PUBLIC CASE STUDY

Bridging Finance

Follow the relationships behind the loan proceeds.

Connect beneficiaries, fund flows, and related parties before a conflicted transaction passes review. Model better relationship accuracy and a larger share of transfers with named counterparties.

Alternative lendersBusiness & private credit
~C$2.09B

Assets under management at receivership [3]

~26,000

Investors represented in the funds [3]

~C$20M

Kickbacks identified in the Tribunal’s findings [1]

Historical case analysis · Event period: Late 2010s–2024 · Not an Amlok customer outcome. Currency and measurement scope are stated with each figure.

01 / THE PUBLIC RECORD

What happened.

The Ontario Capital Markets Tribunal’s 2024 merits decision found that David Sharpe, Natasha Sharpe, and Andrew Mushore committed misconduct in their respective roles. Its account describes deceptive lending transactions, payments benefiting principals, and failures involving conflicts and fund assets.

Attribution matters. The Tribunal did not find that Bridging itself was responsible for the Sharpes’ frauds on the evidence presented. It did find that Bridging failed to address a material conflict in the Ninepoint transaction. These are the historical findings summarized in the 2024 merits decision, not a statement about the outcome of any later appeal.

Source record [1][2][3]

THE RISK MECHANISM

The named borrower does not always explain who benefits from a transaction. Ownership, proceeds, repayment behavior, and credit-committee decisions need to be understood together.

02 / CONNECT THE SIGNALS

From individual facts to a fuller picture.

Documented in the source record
  • The Tribunal described transactions involving borrower funds and benefits to principals.
  • Its findings distinguish individual misconduct from the firm’s failure to address a material conflict.
[1][2][3]
Questions for retrospective review
  • Do loan proceeds reach the operating purpose and beneficiary recorded in the credit file?
  • Are borrowers, principals, owners, and payment recipients connected in ways that require review?
  • Do extensions or increases coincide with missed payments or exceptions to approval procedures?

The review questions are analytical prompts. They do not establish that particular data was available to the institution at the time, or that a different process would have changed the outcome.

03 / THE Amlok INTERVENTION

A different decision starts here.

Put the people benefiting from a transaction into the same review as the borrower, the cash movement, and the approval.

EVIDENCE THIS SCENARIO REQUIRES

Authorized loan and fund transactions, beneficiary and ownership evidence, conflict disclosures, and approval records available at the review date.

  1. 01

    Trace the economic beneficiary

    Evidence to connect
    Borrower identities, account ownership, payment destinations, and supported beneficial-ownership evidence.
    Amlok output
    A relationship graph connecting the stated purpose of a loan to the parties receiving funds.

    Decision it could supportEscalate unresolved beneficiary identities and supported related-party connections before approval.

  2. 02

    Reconcile the movement of funds

    Evidence to connect
    Disbursements, repayments, transfers, and available bank or settlement evidence.
    Amlok output
    Named-counterparty flows with the source and timing of each supported link.

    Decision it could supportReview unexplained circular movements or mismatches between the documented purpose and observed payment destination.

  3. 03

    Give conflicts an independent review path

    Evidence to connect
    Declared conflicts, transaction rationale, approval authority, and investigation findings.
    Amlok output
    An evidence package that preserves both the conflict and the decision made about it.

    Decision it could supportRoute the transaction to the institution’s independent conflict-review process rather than treating a connected party as automatically cleared.

04 / MODELED IMPACT

Put numbers behind the opportunity.

These scenarios apply Amlok’s supplied comparison rates to the review described above. They are projections, not measured results at Bridging Finance. Count-based scenarios use an assumed population, not the institution’s actual records.

MODELED SCENARIO

Graph relationship precision

Assumed population: 1,000 accepted borrower, beneficiary, and principal links.

Baseline scenario800
With Amlok, modeled≈950
+150additional correctly resolved links

A more accurate relationship set could support a better targeted conflict investigation.

Calculation & assumptions

Comparison inputs: 80% → ≈95%.

Population calculation: 1,000 × 80% = 800; 1,000 × 95% ≈ 950. Difference: ≈150 additional.

Relative change: (95 − 80) ÷ 80 × 100 ≈ +18.75%.

15 percentage points higher than the input baseline. Assumes independently labeled relationships and a fixed number of accepted links. A relationship alone is not evidence of fraud.

View the supplied comparison inputs
MODELED SCENARIO

Named counterparty coverage

Assumed population: 1,000 eligible fund-transfer records.

Baseline scenario650
With Amlok, modeled≈860
+210additional transfers with a named counterparty

More transfers could be assessed against the loan purpose and disclosed relationships.

Calculation & assumptions

Comparison inputs: 65% → ≈86%.

Population calculation: 1,000 × 65% = 650; 1,000 × 86% ≈ 860. Difference: ≈210 additional.

Relative change: (86 − 65) ÷ 65 × 100 ≈ +32.31%.

21 percentage points higher than the input baseline. Assumes authorized transfer records and comparable beneficiary evidence; it does not project recoveries from missing fund assets.

View the supplied comparison inputs

From a projection to a validated result.

Replay transactions before approval using only then-available ownership and transfer evidence. Independently label links and conflicts; compare counterparty coverage, false links, and escalation timeliness.

The Tribunal’s findings differ by respondent. The scenario is about conflict detection and review, not a finding that every connected transaction was fraudulent or recoverable. The supplied comparison rates are approximate scenario inputs; no institution-specific replay or confidence interval is available for these estimates. The two metrics describe separate dimensions and should not be added together.

05 / EVIDENCE & SCOPE

Read the source material.

Findings about individuals and findings about the firm are distinguished. A relationship in a graph is a prompt for investigation, not proof of wrongdoing.

  1. 01
  2. 02
  3. 03

Amlok’s interpretation is independent of the institutions discussed. Public records are limited to their stated scope and period. Historical figures describe the source events; the separately labeled Amlok scenarios are calculated projections. Institution names and logos do not imply affiliation or endorsement.

CONTINUOUS RISK INTELLIGENCE

Keep up with riskas fast as it changes

A point-in-time decision does not need to become a blind spot for the life of the deal.

A barista handing a coffee to a customer across a wooden café counter, with pale brick walls and cool natural daylight.
Early signalRevenue trend changed-18% against baseline
Portfolio baseline90 daysContinuously refreshed
Monitoring activeRisk trajectory updatedEvidence attached · team notified