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AurumGene

Agentforce advisory

Agentforce can take on real work. The harder questions are which work, under whose authority, and how you will know it paid off. We help leadership teams answer those before the first agent goes live.

Where agents work

Each function has different work, different risks and different measures. The discipline is the same: start from the number, then decide what the agent does.

  • Agentforce for Sales

    Decide where agents belong in your revenue engine, what they are allowed to do and how the value will be measured.

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  • Agentforce for Service

    Set the strategy for agents in customer service: what they resolve, when people step in and how quality is protected.

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  • Agentforce for Marketing

    Choose the marketing work agents should take on, set the brand and consent guardrails, and tie the result to revenue.

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  • Agentforce for Operations

    Identify the operational work agents can take on, the controls they must respect and the value that justifies the change.

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AI orchestration

Every agent use case we design follows the same five-step shape. If a step is missing, the use case is not ready.

  1. 01

    Signal

    A customer, a record or an event asks for attention.

  2. 02

    Reasoning

    The agent reads the context and plans a response.

  3. 03

    Action

    It acts within its permissions, on the platform.

  4. 04

    Human approval

    A person approves what crosses a set threshold.

  5. 05

    Outcome

    The result is recorded against a business measure.

A generic pattern. Thresholds and approval rules are set for each use case.

Architecture

Agents are most useful, and easiest to govern, when they sit on the platform that already holds your customer data, your permissions and your processes. We design for that, layer by layer.

  1. 05

    Experience

    Where customers and employees meet the agent.

    • Web and mobile
    • Slack
    • Email and messaging
    • Console
  2. 04

    Agentforce agents

    Agents with a defined role, scope and set of actions.

    • Sales
    • Service
    • Marketing
    • Operations
  3. 03

    Trust and guardrails

    The rules every agent works within.

    • Permissions
    • Approval thresholds
    • Audit trail
    • Policy checks
  4. 02

    Data (Data 360)

    Unified, governed context the agent can rely on.

    • Customer profiles
    • Consent
    • Knowledge
    • Activity history
  5. 01

    Systems of record

    The applications where work is recorded.

    • Agentforce Sales
    • Agentforce Service
    • Agentforce Marketing
    • ERP via MuleSoft

Governance and trust

An agent should gain freedom the way a new colleague does: step by step, with evidence. We design the controls that make that possible.

  • Guardrails

    What each agent may and may not do, written down before it goes live. Scope, limits and escalation paths that a non-technical leader can read.

  • Auditability

    Every action traceable to a reason and a record. If you cannot explain what an agent did, it should not have been allowed to do it.

  • Data privacy

    Agents see only the data their task needs. Consent and access rules are treated as design constraints from the first workshop.

  • Human oversight

    Approve before, review after, or handle exceptions only. The oversight model is chosen by risk, and revisited as evidence builds.

Responsible AI policy

We help you write a short, usable policy that sets out how your organisation will use AI agents, who is accountable, and how concerns are raised. It is a working document, not a compliance exhibit.

Outcomes

We agree the measures before the work starts and set a baseline for each one.

We do not publish headline numbers. Targets are set with each client against their own baseline.

  • Time to first agent in production

    How long it takes to move from a shortlisted use case to an agent doing real work.

  • Case deflection rate

    The share of service contacts resolved without a person, at a held or improved satisfaction level.

  • Forecast accuracy

    How close the forecast lands to the result, quarter after quarter.

  • Selling time

    The share of a seller’s week spent with customers instead of on administration.

  • Cost to serve

    What it costs to handle a customer request from start to finish.

  • Human override rate

    How often people correct or reverse an agent. A measure of trust, tracked over time.

Readiness

Most are ready in some places and not in others. Our readiness assessment scores data, process, people and governance, and tells you where to start.

  • A scored view across four dimensions
  • The gaps that would stall a first agent
  • A short, ordered list of what to fix first
Sample readiness profile
Illustrative
  • Data
  • Process
  • People
  • Governance

A first conversation costs nothing and usually clarifies a great deal.