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    Salesforce sentiment analysis on every inbound case.

    Frustrated customers do not announce themselves. Tone shifts hide in the body of a message. Reps catch some signals, miss others. Ortoo Orchestrator scores sentiment on every inbound case the moment it lands, surfaces the urgent ones, and routes them to the right rep before the customer escalates.

    TEAMS RUNNING ON ORTOO ORCHESTRATOR

    IG
    Jaguar Land Rover
    Komatsu
    OppFi
    Sage
    Splunk
    Verivox
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    IG
    Jaguar Land Rover
    Komatsu
    OppFi
    Sage
    Splunk
    Verivox
    Volvo

    What it is

    Salesforce sentiment analysis, in plain terms.

    Salesforce sentiment analysis means scoring the tone, urgency, and frustration level of every inbound case on intake, then using that score as a routing and prioritisation signal in the same workflow.

    Sentiment analysis sits inside Ortoo Orchestrator. AI runs on the body of the inbound case to produce the score, deterministic logic decides what action to trigger, and the result lands on the Salesforce record as a normal field.

    The problem

    Salesforce sentiment analysis catches frustrated customers before they escalate

    Salesforce has the records and the events; what most teams still lack is the orchestration that turns AI from a one-off tool into a system. Salesforce sentiment analysis closes a gap most service teams accept by default. A case arrives, a rep reads it, they form an opinion about how upset the customer is, they prioritise accordingly. Multiply that across every case on every shift and the variance starts to hurt.

    One rep flags an angry customer; another misses the same signal. By the time CSAT surveys show a trend, the customer has already churned or escalated to the executive inbox. Sentiment lives in rep memory, not in Salesforce, so reporting cannot see it.

    Sentiment that does not drive a workflow is just a survey.

    Ortoo Orchestrator scores sentiment on every inbound case on intake. The score lands on the Salesforce record, configured rules decide whether to re-prioritise or escalate, and the action is logged.

    // HOW IT WORKS

    Triggered by case context. Not by who is watching the queue.

    1. 01

      // STEP 01

      Every inbound case is scored as it lands.

      AI reads the body of the message and assigns a sentiment score. The same logic runs on every case, regardless of rep availability or workload.

      1. Case arrives

        Email, portal

      2. AI reads body

        Tone, urgency

      3. Score assigned

        Configurable scale

      Step 01 — Score
      01
    2. 02

      // STEP 02

      The score triggers the configured action.

      Negative sentiment can re-prioritise the case, escalate to a team lead, or change ownership. The action depends on the rules the team set up. This step is handled by the sentiment classification agent inside Ortoo Orchestrator.

      1. Apply threshold

        Team-defined

      2. Trigger action

        Re-prioritise, escalate

      3. Notify owner

        Or change owner

      Step 02 — Decide
      02
    3. 03

      // STEP 03

      Sentiment becomes reportable Salesforce data.

      The score lives on the case as a field. Standard reports and dashboards pick it up automatically, so CX leaders see trends in real time, not weeks later through CSAT.

      1. Write to case

        Field updated

      2. Log action

        Reason, threshold

      3. Reportable data

        Standard reports

      Step 03 — Stamp
      03

    What good sentiment analysis needs

    Three things separate working sentiment analysis from a label on a record.

    Scoring sentiment is the easy part. Driving the right action on it is what makes the workflow useful. Three elements decide whether sentiment is operationally meaningful. The path is operationally realistic: start with one workflow at a time, expand step by step as the team is ready.

    Book a demo

    Configurable thresholds

    What counts as negative varies by team and customer segment. The team defines the thresholds, not a vendor.

    Connected to routing and escalation

    A score with no consequence is a label. Sentiment has to trigger an action to matter.

    Reportable as Salesforce data

    Sentiment trends become standard reports, not a separate dashboard nobody opens.

    Before vs after

    What changes when sentiment runs as a workflow.

    The cases do not change. What changes is whether tone becomes operational data.

    Before

    Before

    1. 01Rep-led assessment
    2. 02Inconsistent flagging
    3. 03Escalation late
    4. 04Sentiment invisible

    Sentiment depends on rep judgment. CSAT surveys catch the trend after the customer has already churned.

    After

    With Ortoo Orchestrator

    1. 01Workflow-led scoring
    2. 02Consistent flags
    3. 03Escalation on score
    4. 04Sentiment reportable

    Sentiment scores on every case. Reporting sees trends in real time, not weeks later.

    Where it fits

    Works with the Salesforce tools you already use.

    Salesforce sentiment analysis with Email-to-Case

    Email-to-CaseService Cloud

    Native Email-to-Case creates the case record from inbound email. The sentiment workflow runs on top, scoring the case body and tagging the record with the result before any rep opens it.

    Sentiment-driven tiered escalation

    Tier 2Customer success

    Negative sentiment combined with urgency keywords routes the case to a senior agent or customer success manager. The criteria are explicit, configured by ops, and adjustable as escalation policy changes.

    AI applied selectively, with bring-your-own LLM

    AI governance

    AI runs on the body of the case to produce the sentiment score. Deterministic logic decides what to do with the score, so cost stays bounded. Teams running their own LLM contract route the calls through their own provider.

    Built for customer experience

    Sentiment that drives the workflow, not just a survey result.

    Service catches frustrated customers before they escalate.

    When sentiment shifts trigger the workflow, service teams see the case before the customer sends a follow-up. CX moves from reacting to escalations to preventing them. Sentiment scoring runs as one step in the workflow from intake to resolution.

    Sentiment becomes a workflow input, not a survey result.

    CSAT and NPS are lagging indicators. Sentiment scoring on every inbound case is a live input, weeks before survey data would catch the same trend, and visible in standard Salesforce reports.

    Specialised agents do the work, not a single generalist AI.

    Each step is owned by a specialised agent with a defined role, including the Sentiment Classification Agent relevant to this workflow. Agents pass context between steps, AI is applied only where interpretation adds value, and deterministic logic controls the rest.

    ToneUrgencyDissatisfactionEscalation languageCustomer tierRepeat contactLanguageProduct lineCase age

    Signals the sentiment workflow evaluates

    Components of sentiment analysis

    Four elements every sentiment workflow needs to cover.

    Ortoo Orchestrator provides the scoring engine. Thresholds, actions, and reporting are configured by service ops.

    Every inbound case is scored the moment it lands, with the score on the record.

    // RULE CONFIG

    Enterprise tier, negative sentiment escalation

    channel
    Email-to-Case
    segment
    Enterprise tier
    threshold
    Score <= -0.4
    signal
    Negative tone + urgency
    action
    Escalate to CSM
    audit
    Score + reason logged

    IF segment = Enterprise AND sentiment <= -0.4 THEN escalate to CSM and re-prioritise.

    Case studies

    Teams running sentiment as a workflow.

    Related use cases

    Adjacent service workflows in Ortoo Orchestrator.

    FAQ

    Common questions

    How does the workflow score sentiment?+

    AI reads the body of the inbound case and assigns a sentiment score on a configurable scale. The score lands on the Salesforce record as a field, and configured rules decide what action follows.

    What sentiment signals are detected?+

    Positive, neutral, and negative tone are baseline. Beyond that, the workflow detects urgency keywords, dissatisfaction patterns, and escalation language. The team can tune the sensitivity to its tolerance.

    Can we use our own LLM provider?+

    Yes. Bring-your-own-LLM is supported, so teams running an OpenAI, Anthropic, or Google enterprise contract route the sentiment calls through their own provider, with costs and audit trails on their own bill.

    How is AI cost controlled?+

    Sentiment runs on the case bodies the team configured. Routine workflows handled by deterministic logic do not trigger AI calls, so the team defines where sentiment is scored and the rest stays rule-driven.

    Where do sentiment scores live for reporting?+

    As fields on the Salesforce case. Scores, trigger reasons, and any actions taken are all visible on the record and queryable in standard Salesforce reports and dashboards.

    Can a rep override the score if it is wrong?+

    Yes. Reps and supervisors can correct the score on a case if the AI reading is off, and the corrections feed back into the workflow's tuning so accuracy improves over time.

    Does this work for multi-language cases?+

    Yes. Sentiment scoring covers the major business languages the LLM provider supports. Teams operating in less common languages validate accuracy on a sample before turning the workflow on for that segment.

    Make sentiment operational

    Map the sentiment workflow your service team should be running.

    Book a 30-minute conversation. We will walk through your current case triage and where sentiment scoring catches the escalations early.

    Installs natively into Salesforce. Start with one workflow, expand to others as the team is ready. Pricing follows work completed, not token usage.