Journey orchestration

Build the journeys customers are actually asking for.

moreIQ turns customer events into signals, interprets them in context, helps decide the right response, coordinates action and learns from the outcome. ABP can then design, automate and integrate the capability around that evidence.

Evidence led automation

Start with customer demand, not an internal automation list.

Find recurring intents, unresolved questions, avoidable escalations and repeatable service actions. Invest where the evidence shows measurable customer and operational value.

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Recurring intents
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Unresolved questions
↑
Avoidable escalations
✓
Repeatable service actions
See where this evidence comes from→
Journey capabilities

Move from answering questions to resolving needs.

These capabilities are scoped when the customer journey requires operational integration.

Automation journey

A new end to end service journey designed, built and maintained by the moreIQ team.

Human in the loop

Hand off to a live agent based on intent, sentiment or explicit customer request.

Call back

Schedule or trigger a callback when the query cannot be resolved automatically.

Troubleshooting assistant

Guide customers through deterministic diagnostic steps and retrieve account or product data from internal systems.

See these capabilities in the platform→
Troubleshooting journey

Turn repeatable support calls into digital resolution.

A request like “my internet is not working” can trigger a deterministic path that checks known conditions, asks the right questions, resolves digitally where possible and escalates with context when needed.

Traditional support path
“My internet is not working.”

Customer searches the website, cannot isolate the fault, then calls support and repeats the problem from the start.

  • High call volume
  • Low containment
  • Limited diagnostic evidence
  • Longer time to resolution
moreIQ troubleshooting journey
“My internet is not working.”

Intent, broadband fault. Objective, resolve digitally if possible and deflect the avoidable call.

  1. Recognise the customer and service line.
  2. Check known outage and planned maintenance events.
  3. Check router status, line state and real time events.
  4. Ask deterministic questions, for example power light status, Wi Fi issue or full outage.
  5. Guide restart or local troubleshooting steps.
  6. Resolve digitally, book a callback or escalate with full context.
See how escalation and human in the loop work→
Closed loop service

Run every journey as Sense, Understand, Decide, Act and Learn.

Resolution, customer feedback and operational outcomes flow back into the intelligence layer so the next cycle starts with better evidence.

1
Sense

Detect the request

Capture the customer event, request or state change through the active channel.

2
Understand

Interpret the signal

Identify the goal, context, intent, knowledge and journey breakdown.

3
Decide

Choose the response

Determine whether to answer, automate, orchestrate, escalate or ask for human judgement.

4
Act

Execute or escalate

Use knowledge, workflow, integration, AI, human support or callback.

5
Learn

Measure the outcome

Feed resolution, satisfaction and operational evidence back into Sense.

Where to start

Choose journeys where evidence and outcome are clear.

Good first journeys are frequent enough to matter, measurable enough to prove value and structured enough to automate safely.

Status requests

Orders, refunds, cases, applications and other high volume status questions.

Known service changes

Appointments, delivery preferences, account details and simple service requests.

Guided diagnostics

Structured troubleshooting where moreIQ can guide the customer and retrieve supporting data.

See these choices in real customer deployments→