Skip to main content

PRODUCTS

Different problems. The same harder question.

What are your decisions really changing? Explore how CADi applies causal inference to performance, customer protection and accountability. Every named product is available for deployment. We agree its scope with you and validate outcomes against your evidence during deployment.

Talk to us about your problem

Client configured

Each deployment is mapped to the client's decision environment, data and controls.

Evidence before claims

Named-client outcomes and authority follow only from that deployment's evidence.

Products

Each film is a schematic produced in Remotion. It illustrates the product's decision environment; it is not a claim about a named client's measured result or regulatory outcome.

REMOTION FILM 01

CADi Prompt

AI INPUT SECURITY

Investigate prompt-injection exposure and the reasons inputs were trusted or refused, starting with the evidence in your application logs.

DEPLOYMENT QUESTION

Which variables, policies and outcomes define the client's decision to trust, block or escalate a prompt?

REMOTION FILM 02

CADi Culture

ORGANISATIONAL ALIGNMENT

Examine how structures, incentives and management decisions align with your stated values, and what the gaps mean for the organisation.

DEPLOYMENT QUESTION

Which observable decisions and influences define organisational alignment for this client?

REMOTION FILM 03

CADi Claim

INSURANCE CLAIMS

Examine whether settlements and challenges were supported by the evidence, balancing fair customer treatment with the cost of manipulated claims.

DEPLOYMENT QUESTION

Which causes, constraints and outcomes define the client's fair-settlement decision?

REMOTION FILM 04

CADi KYC

CUSTOMER ONBOARDING

Explain accept, reject and escalation decisions, the evidence behind them and the alternatives considered alongside your existing identity checks.

DEPLOYMENT QUESTION

Which identity signals, policies and outcomes define the client's onboarding decision?

REMOTION FILM 05

CADi AML

FINANCIAL-CRIME ALERT DECISIONS

Give investigators a clear record of why an alert was escalated, reported or closed, with the reasoning and alternatives available for review.

DEPLOYMENT QUESTION

Which signals, policies and accountable judgements define the client's alert-disposition decision?

REMOTION FILM 06

CADi Trade

EXECUTION DECISIONS

Examine venue, timing and order handling, with the reasons for each choice and estimates of alternatives where the evidence supports them.

DEPLOYMENT QUESTION

Which venue, timing, handling and outcome variables define the client's execution decision?

REMOTION FILM 07

CADi Chambers

BARRISTERS' CHAMBERS

Connect the evidence behind instructions, conflicts and case readiness so recurring risks can be investigated across the practice.

DEPLOYMENT QUESTION

Which recurring instruction and professional-risk decisions define the chambers deployment?

REMOTION FILM 08

CADi CaseShield

LEGAL OPERATIONS

Examine patterns across intake, financial-crime checks, supervision, deadlines and Ai-assisted work, giving your firm a view across the caseload.

DEPLOYMENT QUESTION

Which cross-case risks and accountable decisions define the legal-operations deployment?

REMOTION FILM 09

CADi Competition

PROFESSIONAL SPORT

Investigate selection, substitutions, load management and recruitment, comparing plausible alternatives to inform the next decision.

DEPLOYMENT QUESTION

Which selection, substitution, injury and recruitment variables define the professional-team deployment?

REMOTION FILM 10

CADi IPv

NETWORK AND SECURITY RESPONSE

Examine security-response decisions and their costs, including disruption to legitimate users, alongside the threats your existing tools detect.

DEPLOYMENT QUESTION

Which signals, response options and outcomes define the client's security-response decision?

PUBLIC-DATA CASE STUDY

From 541,909 retail lines to better business questions

Repeat purchasing, customer concentration, peak-season capacity, wholesale-shaped exports and the data blind spots hidden by averages.

Read the case study