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Digitalisation Discovery Report

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Why This Report Exists

The Digitalisation Discovery Report exists to answer one of the most commercially important operational questions:

Which customer interactions should we automate — and what measurable return will it deliver?

Many organisations pursue automation based on intuition, vendor pressure, or isolated journey reviews. This report replaces guesswork with evidence.

Using AI analysis of real call transcripts, it identifies:

  • High-volume automation candidates

  • Deflection potential

  • Estimated agent hours saved

  • Cost benefit

  • Channel suitability (IVR, Voice Bot, Hybrid)

  • Rollout prioritisation

It enables leadership to distinguish between:

  • True automation-ready intents vs complex human-dependent journeys

  • Quick wins vs longer-term strategic builds

  • Full automation vs hybrid escalation models

  • Tactical savings vs structural transformation

Without transcript-level analysis, automation initiatives risk low containment, poor CX, and limited ROI. This report transforms conversational data into a digital transformation roadmap.

Important Note

The example shown (October 2025) uses anonymised data from a client who permitted use of their dataset for demonstration purposes.

In live environments, this report is automatically generated using each organisation’s unique call taxonomy and operational metrics.

Additionally:

  • A downloadable Excel file containing all underlying call-level data is available.

  • This raw dataset includes:

    • Call IDs

    • Intent classifications

    • Automation scores

    • Deflection estimates

    • Phase prioritisation

    • Supporting rationale

This enables Bot Builders, Digital Teams, and Solution Architects to conduct deeper feasibility modelling and technical design validation.

1. Report Details – Automation & ROI Snapshot

This section provides a headline summary of automation opportunity.

From the October 2025 example:

MetricValue
Total Calls2,472
Average Duration5 minutes
Deflection Potential58%
Hours Saved111
Cost Benefit$5,542
Rollout Mix5% Short-Term / 40% Medium-Term / 55% Long-Term

How to Interpret This Section

  • 58% deflection indicates significant automation maturity potential.

  • Hours saved (111) reflects direct operational capacity uplift.

  • Cost benefit ($5,542) reflects measurable ROI before scaling.

  • Rollout mix (5/40/55) shows most opportunities are medium‑ to long‑term due to complexity or integration needs.

This section provides the commercial justification for digital investment.

2. Scope & Methodology – Data-Driven Assessment

This section explains how automation suitability was calculated.

From the October 2025 example:

  • 40 call categories analysed

  • Evaluated call volume, handle time, complexity, data needs, and resolution flows

  • Assessed automation readiness using Automation Score and candidate status

  • Calculated deflection percentage per category

  • Segmented by rollout phase (Short, Medium, Long-Term)

  • Quantified benefits: deflected calls, agent hours saved, cost savings based on $50/hr agent cost

How to Interpret This Section

  • Volume alone does not determine automation priority.

  • Complexity and backend integration requirements influence feasibility.

  • Automation Score + Deflection % determine investment sequencing.

This ensures digital strategy is grounded in empirical call behaviour.

3. Key Opportunity Areas – Where Automation Delivers the Highest Impact

This section identifies high-impact intents.

From the October 2025 example:

CategoryVolumeAvg Automation ScoreAvg Deflection %Dominant Phase
Claim Status Update771760%Medium-Term
Lodge a New Claim437655%Medium-Term
Submit/Request Claim Documentation393655%Medium-Term
Policy Cancellation178762%Long-Term
Payment Setup or Change150761%Long-Term

How to Interpret This Section

  • High volume + moderate automation score (6‑7) = strong hybrid candidate.

  • Policy Cancellation and Payment Setup have high deflection potential but are placed in Long-Term due to sensitivity or backend dependencies.

  • Data‑lookup IVR and multi‑turn voice bots suit transactional queries.

Prioritisation rule used:
Calls segmented by Automation Score, complexity, data needs, and strategic summaries to balance quick wins with sustainable long‑term automation.

This prevents over‑automation of high‑risk journeys.

4. Rollout Roadmap – Phased Digital Transformation

Automation is segmented into three phases based on the actual October 2025 mix:

Short-Term (5% of calls)

  • Focus: Automate straightforward payment failure and policy cancellation calls with high deflection potential.

  • Deploy data‑lookup IVR and multi‑turn voice bots for consistent, low‑complexity interactions.

  • Ensure seamless live agent escalation for exceptions and verification steps.

Medium-Term (40% of calls)

  • Focus: Target high‑volume claim status updates, document submissions, and payment inquiries with partial automation.

  • Implement hybrid models combining conversational voice bots, FAQ chatbots, and data‑driven IVR systems.

  • Focus on improving backend data integration and identity verification to increase automation scope.

Long-Term (55% of calls)

  • Focus: Address complex claim disputes, multi‑party coordination, and nuanced billing inquiries requiring human judgment.

  • Invest in advanced AI, backend system integration, and hybrid escalation frameworks.

  • Prioritise automation of routine components while maintaining live agent support for sensitive cases.

How to Interpret This Section

  • Quick wins (5%) generate early ROI.

  • Medium‑term phase (40%) delivers bulk cost benefit.

  • Long‑term automation (55%) requires structural integration maturity.

  • Hybrid escalation protects CX during rollout.

5. Channel Recommendations – Right Technology for the Right Intent

This section maps each intent to optimal channel based on the October 2025 analysis.

CategoryPrimary ChannelSecondary ChannelRationale
Claim Status UpdateData-Lookup IVRMulti-Turn Voice BotHigh volume, routine inquiries. Automation viable with core changes and live agent escalation for exceptions.
Lodge a New ClaimMulti-Turn Voice BotFAQ ChatbotStraightforward claim registration & FAQs. Hybrid approach with escalation for customisation.
Submit/Request Claim DocumentationMulti-Turn Voice BotFAQ ChatbotRoutine document inquiries. Strong candidate for partial automation; hybrid for exceptions.
Policy CancellationData-Lookup IVRMulti-Turn Voice BotHigh deflection potential but sensitivity requires careful escalation handling.
Payment Setup or ChangeData-Lookup IVRMulti-Turn Voice BotTransactional, data‑lookup friendly, but placed long‑term due to security/verification needs.

How to Interpret This Section

  • Multi‑turn bots suit structured, procedural journeys.

  • Hybrid is required where nuance or third‑party coordination exists.

  • Full IVR works best for data‑lookup interactions.

This ensures technology choice matches conversational complexity.

6. Data & Integration Requirements – Feasibility & Readiness

From the October 2025 example:

Required Integrations:

  • CRM system integration for real‑time customer and policy data access

  • Authentication and identity verification services

  • Scheduling and booking system connectivity for claims and hire car arrangements

  • Knowledge base integration for FAQ and procedural guidance

Mitigation Strategy:

  • Phased API integration

  • Secure authentication protocols

  • Live‑agent fallback for incomplete data

How to Interpret This Section

  • Automation success is integration‑dependent.

  • Authentication strength affects containment rate.

  • Hybrid fallback protects CX during early deployment.

Digital success is technical as well as behavioural.

7. KPI & Benefit Tracking – Measuring Digital Impact

Success metrics from the October 2025 report include:

  • Monthly deflected calls and deflection rate (%)

  • Agent hours saved per month

  • Cost savings in $ based on agent time reduction

  • Customer satisfaction and resolution rates post‑automation

  • Live agent escalation volumes and resolution times

How to Interpret This Section

  • Deflection must correlate with maintained or improved CX.

  • Escalation rates should reduce over time.

  • ROI should be tracked monthly.

  • Automation should increase capacity, not degrade experience.

This section converts digital ambition into measurable outcomes.

Conclusion – How to Use This Report

The Digitalisation Discovery Report is not a technology recommendation document.
It is a transformation blueprint.

Used correctly, it enables organisations to:

  • Quantify automation ROI before investment

  • Prioritise digital initiatives strategically

  • Reduce agent workload sustainably

  • Improve containment without harming CX

  • Align bot development with real conversational data

Most automation programs fail because they start with technology.
This report ensures automation starts with insight.

By reviewing this report quarterly — and pairing it with the downloadable call‑level Excel dataset — leadership can move from reactive cost reduction to structured digital transformation, delivering measurable efficiency, capacity uplift, and customer experience improvement.

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