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AurumGene

AGENTFORCE FOR SERVICE

Service leaders are asked to lower cost and raise satisfaction at the same time. We help you decide which contacts agents should resolve, which need a person and how to prove the change is working.

The problem

Demand keeps rising. Adding headcount is rarely an option, and customers notice when quality slips.

  • Volume outpaces capacity

    Contact volumes grow faster than the team. Queues lengthen and service levels are missed at peak times.

  • Simple questions fill the queue

    Routine requests take the same route as complex ones. Skilled advisers spend their day on work that needs no judgement.

  • Knowledge is scattered

    Answers live in documents, inboxes and the heads of experienced staff. Customers get different answers from different people.

  • Risk holds back automation

    Leaders worry about wrong answers, tone and compliance. Without clear guardrails, pilots stay small.

Blueprint

A shared picture for service, technology and risk leaders. It makes scope and accountability clear before work starts.

  1. 05

    Experience

    Where customers and advisers meet the agent.

    • Web and app chat
    • Messaging
    • Voice
    • Adviser console
  2. 04

    Agents

    The agents that take on defined service work.

    • Case triage
    • Self-service resolution
    • Knowledge drafting
    • Field scheduling
  3. 03

    Trust and guardrails

    The rules that keep answers accurate and safe.

    • Approved knowledge only
    • Escalation rules
    • Data masking
    • Audit trail
  4. 02

    Data: Data 360

    One governed view of the customer and their history.

    • Customer profile
    • Case history
    • Entitlements
    • Product usage
  5. 01

    Systems of record

    The sources the agents read from and write to.

    • Agentforce Service
    • Knowledge base
    • Order and billing
    • Field service records

Use cases

We rank candidates by contact volume, risk and readiness of knowledge. These six come up most often.

  • Case triage

    The agent classifies each new case, sets priority and routes it to the right queue. Team leads review the routing rules and any exceptions.

  • Self-service resolution

    The agent resolves routine requests from approved knowledge and account data. It hands over to an adviser when the request falls outside policy.

  • Knowledge drafting

    The agent drafts articles from resolved cases. A knowledge owner reviews and publishes each one.

  • Field scheduling

    The agent proposes appointments based on skills, parts and location. A dispatcher confirms changes that affect committed visits.

  • Escalation summaries

    The agent prepares a short summary of the case so far when it is escalated. The receiving adviser starts informed and decides the next step.

  • Proactive outreach

    The agent spots known issues affecting a customer and drafts a notice before they call. A service manager approves the message and the audience.

Workflow

One example of how a routine request is resolved, with a person in control of the exception.

  1. 01

    Customer contact

    A customer reports a faulty product in chat.

  2. 02

    Entitlement check

    Data 360 confirms the order, warranty and case history.

  3. 03

    Service agent

    Diagnoses the fault and proposes a replacement within policy.

  4. 04

    Team lead

    Approves the exception that sits outside standard policy.

  5. 05

    Case resolved

    Replacement is confirmed and the case is closed.

Illustrative views

Sample screens with sample values. They show the kind of evidence a service leader should expect each week.

Service agent performance

Sample quarter

Illustrative
  • Cases resolved by agent

    46%

  • Average time to resolution

    4.2 hrs

  • Customer satisfaction

    4.5 / 5

  • Escalations to advisers

    18%

Cases resolved without adviser effort

  • Order and billing queries82
  • Product troubleshooting61
  • Returns and replacements57
  • Appointment changes44
Illustrative dashboard with sample values. Not real client data.

Self-service resolution

Web chat

Illustrative
Customer

My heating controller stopped responding this morning. It is only a few months old.

Service agent

Sorry about that. I can see the order and it is under warranty. I have run the remote check and the unit is not responding, so a replacement is the right step.

Customer

Thank you. Could it be sent to my work address? I am away from home this week.

System. Address differs from the account record. Approval requested from the team lead.
Team lead

Approved after an identity check. The replacement will go to the work address and you will get tracking details by email.

  • Verified customer identity
  • Checked entitlement
  • Ran remote diagnostic
  • Requested address approval
Illustrative conversation. Not a real customer or a live product.

Both views are illustrative. Values are samples, not client results.

Outcomes

Cost and quality are measured together. We agree the baselines with you first and report against them openly.

Targets are set with each client against their own baseline.

  • Case deflection rate

    The share of contacts resolved by an agent without adviser effort.

  • Time to resolution

    How long a customer waits from first contact to a resolved case.

  • First contact resolution

    The proportion of cases closed in a single interaction.

  • Customer satisfaction

    How customers rate the service they receive, across agent and adviser contacts.

  • Cost to serve

    The average cost of handling a contact across all channels.

  • Time to first agent in production

    How long it takes to move from decision to a governed agent handling real cases.

Approach

We advise, govern and assure. Your teams and your chosen partners carry out the work.

  1. 01

    Discover

    We analyse contact reasons, knowledge quality and channel mix to find where agents can safely take on work.

    Outputs

    • Contact demand analysis
    • Knowledge readiness review
    • Opportunity longlist
  2. 02

    Define

    We prioritise use cases by volume and risk, and set out the business case with cost and quality measures side by side.

    Outputs

    • Prioritised use cases
    • Business case
    • Success measures
  3. 03

    Design

    We define the service operating model: escalation paths, knowledge ownership and the limits of what an agent may resolve.

    Outputs

    • Service operating model
    • Escalation and guardrail policy
    • Phased roadmap
  4. 04

    Direct

    We assure the programme independently while your teams and partners carry out the work, and we report value against the case.

    Outputs

    • Programme assurance reviews
    • Quality monitoring framework
    • Value realisation tracking

Start with a conversation. We will tell you plainly whether there is a case.