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    AI lead triage in Salesforce.

    Inbound leads pile up faster than reps can sort them. SDRs spend their first hour deciding what to act on. Real opportunities sit behind less promising ones. Ortoo Orchestrator triages every inbound lead on intake, classifies it against the rules the team configured, and routes it to the right rep in one step.

    TEAMS RUNNING ON ORTOO ORCHESTRATOR

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

    What it is

    AI lead triage, in plain terms.

    AI lead triage in Salesforce means classifying every inbound lead by intent, fit, and urgency the moment it lands, then routing the high-priority records straight to the rep who can engage. The decision is consistent across reps and across days.

    Triage runs inside Ortoo Orchestrator. AI is applied selectively where interpretation adds value, such as reading free-text intent or scoring engagement. Deterministic logic handles the rest, so workflows stay predictable.

    The problem

    AI lead triage removes the gap between lead creation and rep engagement

    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. AI lead triage starts from a familiar problem: inbound leads sit in queues while reps decide what to act on. A rep scans the list, makes a judgment call, picks a few to engage, deprioritises the rest. Multiply that across every rep and every shift, and the cumulative lag is significant.

    Judgment varies between reps and between days. Hot leads get buried behind less promising ones. SDRs burn their best hours on triage rather than conversations.

    Triage decisions that live in a rep's head cannot drive a workflow.

    Ortoo Orchestrator triages every inbound lead on intake. Classification, scoring, and routing run as one workflow step, with the decision recorded against the record.

    // HOW IT WORKS

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

    1. 01

      // STEP 01

      Every lead is classified the moment it lands.

      Inbound leads are scored against the criteria the team configured. Source, engagement, intent signals, and qualification fields all feed the classification.

      1. Lead arrives

        Intake event

      2. Read attributes

        Source, fit, engagement

      3. Apply rules

        Multi-signal

      Step 01 — Classify
      01
    2. 02

      // STEP 02

      AI reads the signals that need interpretation.

      Free-text intent, behavioural patterns, and inbound message content sit better with AI. The workflow applies AI selectively where it adds value, with deterministic logic handling everything else. This step is handled by the triage agent inside Ortoo Orchestrator.

      1. AI on free text

        Intent, language

      2. Deterministic check

        Structured fields

      3. Combine signals

        One score

      Step 02 — Score
      02
    3. 03

      // STEP 03

      The triaged lead is routed to the right rep.

      The routing capability inside Ortoo Orchestrator picks the best-fit rep based on skill, capacity, and territory in the same step. The rep picks up a lead ready to engage.

      1. Hand to routing

        Same workflow

      2. Best-fit rep

        Skill, capacity, region

      3. Log decision

        Reason recorded

      Step 03 — Route
      03

    What good lead triage needs

    Three things separate working lead triage from a scoring model nobody trusts.

    Most lead triage projects fail in predictable ways. The classification ages out, the rules drift from sales reality, and reps stop trusting the scores. Three things keep the workflow useful. The path is operationally realistic: start with one workflow at a time, expand step by step as the team is ready.

    Book a demo

    Multi-signal classification

    Score on intent, fit, engagement, and source together. One signal is rarely enough.

    AI on the signals that need it

    Apply AI where interpretation matters. Use deterministic logic for everything else.

    Connected to routing

    Triage that does not connect to routing creates a tagged queue, not a worked queue.

    Before vs after

    What changes when triage runs as a workflow.

    The leads do not change. What changes is whether the right one gets attention first.

    Before

    Before

    1. 01Manual triage
    2. 02Reps cherry-pick
    3. 03Score ignored
    4. 04Triage = admin

    Triage depends on rep availability and judgment. Hot leads cool while reps sort the queue.

    After

    With Ortoo Orchestrator

    1. 01Auto-classified
    2. 02Routed on intake
    3. 03Score trusted
    4. 04Triage = workflow

    Triage runs on every lead. Reps pick up classified, routed records and start the conversation.

    Where it fits

    Works with the Salesforce tools you already use.

    AI lead triage for high-velocity inbound

    SaaSTech

    Tech and SaaS teams handle bursts of inbound that overwhelm manual review. Workflow-driven triage holds up at volume without scaling sales ops headcount in proportion to lead count.

    AI lead triage for regulated industries

    Financial servicesHealthcare

    In regulated sectors, the triage decision often depends on fields a rep cannot reasonably check on every lead. The workflow runs those checks against the same rules every time, captures the inputs, and produces an audit trail compliance teams can read.

    AI lead triage alongside scoring tools

    Lead scoringMarketing ops

    External scoring tools produce a number. Triage decides what to do with that number, combined with other signals. The workflow consumes the score as one input among several rather than treating it as the final answer.

    Built for revenue operations

    Triage decisions that drive the workflow, not rep memory.

    SDRs spend their time on conversations, not on sorting.

    When the workflow handles classification and routing, SDRs spend their first hour calling, not triaging. The administrative tax on selling drops, and conversion rates rise because hot leads get attention first. Triage runs as one step in the workflow from intake to assignment.

    Triage decisions become a defensible audit trail.

    Every classification is logged with the inputs that drove it. Marketing and sales ops can answer why a lead scored what it scored, and triage rules can be tuned based on actual outcomes.

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

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

    IntentFitEngagementSourceBehaviourIndustryRegionScoreUrgency

    Signals the triage workflow evaluates

    Components of AI lead triage

    Four elements every triage workflow needs to cover.

    Ortoo Orchestrator provides the engine. Classification rules, AI triggers, and routing logic are configured by sales operations.

    Intent, fit, engagement, and source all feed the triage decision.

    // RULE CONFIG

    Mid-market inbound, intent-driven triage

    source
    Webform, demo request
    fit
    Mid-market, NA + EMEA
    AI signals
    Intent, urgency
    score threshold
    >= 70 high-priority
    routing
    Skill + capacity match
    audit
    Inputs + score logged

    IF fit = mid-market AND intent score >= 70 THEN classify high-priority and route to AE within SLA.

    Case studies

    Teams running triage as a workflow.

    Related use cases

    Adjacent revenue workflows in Ortoo Orchestrator.

    FAQ

    Common questions

    What signals does AI lead triage use?+

    Intent, fit, engagement, source, behavioural patterns, and any qualification fields the team configured. AI handles the free-text and unstructured signals; deterministic logic handles the structured ones.

    How does this work with our existing lead scoring tool?+

    External scoring tools produce a number that the triage workflow consumes as one input among several. The workflow does not replace the scoring engine; it puts the score in context alongside intent, fit, and routing requirements.

    Will it override our SDRs' judgment?+

    The workflow runs the classification logic the team agrees on. SDRs can still override an individual record where context warrants. Overrides feed back into the workflow's tuning so accuracy improves over time.

    Can we use our own LLM provider?+

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

    Does this require Apex or a developer to set up?+

    No. Classification rules, AI triggers, and routing logic are configured declaratively inside Salesforce setup. Sales ops adjusts the workflow without engineering involvement.

    How quickly does triage update when sales priorities change?+

    Operations teams update the rules in Salesforce setup and the next inbound lead reflects the new logic. No release cycle, no waiting for a model retraining.

    Where do the triage results live for reporting?+

    As fields on the Salesforce lead. Classification, score, urgency flags, and routing reasons are all visible on the record and queryable in standard Salesforce reports.

    Make triage predictable

    Map the triage workflow your team should be running.

    Book a 30-minute conversation. We will walk through your current triage logic and where workflow execution removes the lag.

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