AI ServicesAI-Assisted Customer
AI-Assisted Customer
Journeys
The opportunity isn’t a chatbot on the homepage. It’s intelligent interventions throughout the entire customer lifecycle.
Engagement
Product & Workflow Design
Typical Duration
4 – 8 weeks
We design and build AI touchpoints embedded into onboarding, discovery, purchase, support, and retention flows. Each intervention reduces friction, personalises the experience, and helps users reach their goals faster, while reducing operational load on your team.
Where AI fits in the journey
Onboarding & Activation
AI assesses user context, adapts the setup flow, provides contextual guidance, and identifies when users are stuck. Goal: reduce time-to-value.
Discovery & Recommendation
Conversational need assessment, contextual recommendations, guided selection. Help users find what they need from large catalogues or complex offerings.
Purchase & Conversion
Objection handling, comparison assistance, configuration guidance, risk reduction. AI that removes friction at the decision point.
Support & Issue Resolution
Intelligent first-line support that resolves common issues, gathers context for complex ones, and routes efficiently. Humans focus on high-value interactions.
Retention & Re-Engagement
Usage pattern analysis, disengagement detection, personalised interventions. Identify at-risk customers before they churn.
How we work
Journey Mapping — Step 1
Map the full lifecycle, identify every friction point and AI opportunity.
01
Journey Mapping — Step 1
Map the full lifecycle, identify every friction point and AI opportunity.
02
Intervention Design — Step 2
What triggers it, what form it takes, how the user controls it. Helpful, not creepy.
Intervention Design — Step 2
What triggers it, what form it takes, how the user controls it. Helpful, not creepy.
Measurement Framework — Step 3
Define metrics before building. Conversion rates, time-to-completion, support volume, retention impact.
03
Measurement Framework — Step 3
Define metrics before building. Conversion rates, time-to-completion, support volume, retention impact.
04
Build & Iterate — Step 4
Implement, measure, optimise. Every touchpoint validated against defined metrics.
Build & Iterate — Step 4
Implement, measure, optimise. Every touchpoint validated against defined metrics.
Deliverables
What you get
- Journey maps with AI intervention points designed
- Implemented and deployed AI touchpoints
- Measurement framework with dashboards
- Optimisation playbook for ongoing improvement
PersonalisationRecommendationOnboardingRetentionA/B TestingAnalyticsLLMs
Customer journeys with friction that AI could smooth?
Every AI touchpoint we build passes a simple test: would we want to encounter this as a customer? If the answer is no, we redesign it.