Better Outcomes by Better Outcomz · Financial Services

See the customer journey through an outcome and risk lens.

Regulated firms are asked to evidence the outcomes customers receive, not just the conduct of individual conversations. Sampled QA cannot show what happened to the customers who were never reviewed, and it rarely connects the interaction to the CRM record and journey events that decide the outcome.

What Better Outcomes does here

See the customer journey through an outcome and risk lens.

Better Outcomes brings together interactions, customer information and journey evidence to help regulated organisations understand the outcomes customers are actually receiving.

Surface potential vulnerabilities, missed signposting opportunities, process weaknesses and areas where customer treatment may require further review - with supporting evidence available for investigation.

  • 01

    Outcome frameworks, not generic scorecards

    Configure the outcomes your firm intends customers to receive and assess every connected interaction and journey against them.

  • 02

    Indicators surfaced for review

    Potential vulnerability, missed signposting and process weaknesses are surfaced with evidence for human investigation - not decided automatically.

  • 03

    Evidence for oversight

    Reasoning, source evidence, reviewer decisions and overrides are retained so compliance, risk and internal audit can see how each conclusion was reached.

  • 04

    Supports monitoring, evidence and oversight

    Better Outcomes strengthens the evidence base behind Consumer Duty and outcome-monitoring activity. It does not guarantee compliance and does not replace product governance or Board judgement.

Walkthrough

One financial services journey, step by step.

A lender's Consumer Duty lead needs to evidence the consumer-support outcome across arrears conversations - not from a sample, but across the book. Details are illustrative; the screens are real.

  1. Step 1 of 4

    Every arrears conversation is assessed against the intended outcome

    The firm's outcome framework - customer understanding confirmed, forbearance options explained, vulnerability considered, next steps agreed - is configured once. Better Outcomes evaluates every connected interaction against it and shows where each journey stage falls short.

    • Outcome framework applied across the whole population
    • Weakest stages visible to compliance, not just QA
    Better Outcomes section pass-rate chart: nine journey stages with pass percentages, Documentation lowest at 51 per cent and flagged for review
  2. Step 2 of 4

    Each finding carries its reasoning and evidence

    A compliance analyst opens a flagged call. The reasoning shows the forbearance options were listed but the customer's questions about affordability went unanswered, beside the verbatim exchange and a confidence level. The finding is routed to a reviewer.

    • Reasoning and source evidence for every finding
    • Human review and override recorded in the audit history
    Better Outcomes assessment showing the AI reasoning for a soft-skills finding beside the verbatim source evidence and a confidence level
  3. Step 3 of 4

    A recurring gap is surfaced as a potential systemic issue

    Root-cause assessment groups similar findings: affordability questions going unanswered when a specific letter has been sent. It is presented as a potential root cause with its evidence for the firm to investigate - not as a conclusion.

    • Systemic pattern rather than isolated adviser errors
    • Potential cause surfaced for investigation, not decided
    Better Outcomes root-cause assessment listing the systemic issue identified, its confidence level, AI reasoning and source evidence
  4. Step 4 of 4

    Oversight sees the trend and the evidence behind it

    The KPI view tracks outcome performance over time, with drill-down from any figure to the findings and decisions behind it. The committee pack rests on the population, and a supervisory request can be answered from the audit history.

    • Outcome monitoring, evidence and oversight supported
    • No claim of compliance - a stronger evidence base for the firm's judgement
    Better Outcomes KPI strip: overall average score, completed reviews, AI evaluation accuracy of 99.3 per cent and score distribution

In practice

What this looks like on a real journey.

  1. Example 01

    Evidencing the consumer-support outcome

    Findings across connected interactions show where understanding, support or follow-through fell short, with the evidence and reasoning behind each one.

  2. Example 02

    A signposting obligation is inconsistently met

    Question-level pass rates show which teams and journey stages most often miss the signpost, so remediation can be targeted.

  3. Example 03

    A supervisory request arrives

    The audit history holds the assessment, the evidence relied on and the human decision - available without reconstructing the case from call recordings.

Illustrative scenarios · Findings are surfaced for human review, not decided automatically

The question this answers

“Did the customer receive an appropriate outcome?”

What your team gains

  • Identify vulnerability indicators earlier
  • Highlight missed or inconsistent signposting
  • Understand outcomes across the wider customer journey
  • Detect recurring areas of potential customer harm
  • Support Consumer Duty and outcome-monitoring activity
  • Provide evidence for compliance, risk and governance review
Better Outcomes assessment showing the AI reasoning for a soft-skills finding beside the verbatim source evidence and a confidence level
Better Outcomes section pass-rate chart: nine journey stages with pass percentages, Documentation lowest at 51 per cent and flagged for review

Real Better Outcomes product screens · Shown with test data

AI assurance and explainability

AI you can evidence, not just trust.

The AI does not simply generate a score. It produces an assessment that a reviewer can check against the evidence used to reach it - and change if the evidence does not support it.

Your data

Customer data is not used to train public or general-purpose AI models. Products are hosted on UK infrastructure with access segregated by organisation, team and user.

Security and governance

/ 01

Configurable outcome frameworks

Your outcome definitions, scorecards and rules - applied consistently across every connected interaction.

/ 02

Evidence behind every assessment

Each finding links to the interaction, CRM record and journey events it was drawn from.

/ 03

Explainable reasoning

The criteria applied and the reasoning followed are shown beside the evidence, not hidden in a score.

/ 04

Human-in-the-loop review

Reviewers confirm, reject, escalate or override - with authority to change the outcome and a recorded rationale.

/ 05

Confidence thresholds

Where applicable, low-confidence findings route to human review before any action is taken.

/ 06

Audit history

Findings, decisions, overrides and model versions are written to an append-only audit history.

/ 07

Configurable escalation

Route confirmed findings to remediation, coaching or compliance queues according to your governance model.

/ 08

Role-based access

Named permissions by organisation, team and role, with MFA and lifecycle management.

/ 09

Reporting and governance

Trend, calibration and override reporting for quality, operations, risk and Board oversight.

/ 10

Data controls

UK product hosting, tenant segregation and defined data scope agreed per deployment.

Frequently asked

Questions buyers ask us first.

Does Better Outcomes make us Consumer Duty compliant?
No product can guarantee compliance. Better Outcomes supports monitoring, evidence and oversight by assessing connected interactions and journey evidence against the outcomes your firm intends customers to receive. Judgements about compliance remain with your firm, its governance and its regulator.
Where is customer data hosted and is it used to train AI models?
Better Outcomes is hosted on UK infrastructure with access segregated by organisation, team and user. Customer data is not used to train public or general-purpose AI models. Our Security and Technology pages set out the detail.
How do we evidence a finding to internal audit or a supervisor?
Every finding retains the AI reasoning, the source evidence relied on, a confidence level and the human reviewer's decision and rationale. That audit history can be produced without reconstructing the case from call recordings.

Working session

See Better Outcomes on your customer journey.

Bring one representative customer journey and we'll show how Better Outcomes could assess it across interactions, CRM evidence and customer outcomes. No customer data is required for the first session.