For revenue operators who want control

Run revenue like an engineered system.

Build workflows your team can inspect, repeat, and improve without relying on brittle zaps or one-off scripts. Orange Slice gives revenue ops checkpoints, retries, and observability, while letting you bring your own model and vendor keys so you keep control of cost and stack choices.

salesforce-inbound-routing.ts
// 1. Pull new inbound leads from Salesforce
const inboundLeads = await integrations.salesforce.query(`
  SELECT Id, FirstName, LastName, Email, Company, Website, LeadSource
  FROM Lead
  WHERE Status = 'New'
    AND LeadSource IN ('Demo Request', 'Contact Us')
  ORDER BY CreatedDate ASC
  LIMIT 50
`);

// 2. Enrich each lead and account
for (const lead of inboundLeads) {
  const company = await orangeslice.enrichCompany({
    domain: lead.Website,
    companyName: lead.Company,
  });

  const summary = await orangeslice.generateWithAI(
    "Summarize the company, likely use case, and follow-up urgency",
    { context: { lead, company } }
  );

  // 3. Route to the right owner
  const owner = await orangeslice.routeLead({
    employeeCount: company.employeeCount,
    territory: company.hqCountry,
    leadSource: lead.LeadSource,
  });

  // 4. Update Salesforce and create follow-up work
  await integrations.salesforce.updateLead({
    id: lead.Id,
    ownerId: owner.id,
    status: "Working",
    fitScore: company.fitScore,
    aiSummary: summary,
  });

  await integrations.salesforce.createTask({
    whoId: lead.Id,
    ownerId: owner.id,
    subject: "Call inbound lead within 5 minutes",
    priority: "High",
  });
}

Pull leads from Salesforce, enrich the account, route ownership, and create follow-up work in one workflow. Notice what's not here: no duct-taped retries, no hand-built queueing, no ops babysitting, and no forced model or data vendor bundle.

orangeslice.enrichCompany

Research is part of the run

Company research, firmographics, and account context are gathered as workflow steps, so slow vendors and partial failures are visible and recoverable.

orangeslice.generateWithAI

Bring your own model keys

Use your own OpenAI, Anthropic, Gemini, or other provider keys when you want to control spend and avoid getting locked into one bundled AI vendor.

for (const lead of ...)

Work is checkpointed, not hoped for

If a run fails on lead #27, it resumes on lead #27. Finished work stays finished, so your team can trust reruns and bulk reprocessing.

integrations.salesforce

Systems stay in sync

Salesforce updates, task creation, and downstream syncs respect rate limits and schema rules, so execution stays clean instead of producing duplicate cleanup.

Flexibility of code, observability of a spreadsheet.

Live run
LeadCompanyFitOwnerStatusAI Summary
1Sarah ChenRamp92Jordan K.DoneSeries C fintech, expanding sales team. Likely use case: outbound pipeline.
2Matt ReevesLattice87Priya S.DoneHR platform, 400 employees. Interested in account-based prospecting.
3Dana OrtizVercel94Jordan K.DoneDev tools, PLG motion. Wants to layer outbound on top of inbound pipeline.
4Alex KimFigma...RunningGenerating...
5Rachel MooreNotion...RunningGenerating...
6James WuLinearQueued
7Nia ThompsonRetoolQueued

Standardize the process

Turn tribal operator knowledge into a repeatable workflow your whole team can run the same way every time.

Instrument every step

See what ran, what failed, how long it took, and where the bottleneck is without reconstructing events from five tools.

Control throughput

Manage retries, backoff, concurrency, and vendor limits centrally instead of leaving them to individual reps or scripts.

Bring your own keys

Use your own AI and data vendor credentials when needed, keep spend visible, and avoid hard lock-in to a bundled provider stack.

Revenue execution layer

The system behind repeatable revenue.Reliable enough to operationalize.

Great GTM teams do not just automate tasks. They engineer execution so runs are repeatable, inspectable, and resilient even when inputs are messy and systems are unreliable.

Durable execution

Every step is persisted. If infrastructure fails mid-run, the workflow resumes from the last checkpoint instead of starting over.

Deterministic side effects

Idempotent steps protect downstream systems so retries do not create duplicate contacts, tasks, emails, or updates.

Recovery built in

Transient failures like timeouts, rate limits, and 503s retry with backoff automatically instead of becoming manual cleanup.

Throughput control

Built-in throttling respects API quotas across every run, so you can process large volumes without getting blocked or degraded.

Step-level observability

Each step logs status, duration, inputs, and outputs so operators can debug and improve the system with real evidence.

State you can trust

Completed work is not lost or silently replayed, which keeps your pipeline, CRM, and analytics in a consistent state.

Operating model

Design the workflow once.Run the system repeatedly.

Capture how revenue work should run, then let Orange Slice execute it with the controls, safeguards, and visibility an operations team expects from a real system.

01

Model the operating logic

"When a rep uploads event leads, match accounts, enrich contacts, score fit, route owners, and sync qualified records into Salesforce."

02

Encode the controls

The workflow is broken into steps with retries, rate limits, checkpoints, and deduplication built in from the start.

03

Measure and improve execution

Runs land cleanly in your CRM, sheets, and downstream systems, while logs and run history show what to tighten next.

Failure handling

Revenue systems are definedby what happens on the bad day.

Fragile automation

Step 1: Pull 5,000 companies from CRM
Step 2: Enrich first 2,847 companies
Step 3: API rate limit — workflow crashes
Manual restart begins from step 1
2,847 companies re-enriched as duplicates
Hours of wasted compute and API credits

Engineered revenue workflow

Step 1: Pull 5,000 companies — checkpointed
Step 2: Enrich companies 1–2,847 — checkpointed
Rate limit hit — automatic backoff and retry
Resumes enrichment at company #2,848
All 5,000 companies enriched successfully
Zero duplicates. Zero wasted work.

System templates

Revenue motions you can actually standardize

These workflows turn repeated revenue work into systems: clear inputs, controlled execution, and outputs your team can trust.

Multi-source lead enrichment

1Pull company list from your CRM
2Enrich each company across 5+ data sources
3Find and verify decision-maker emails
4Score leads based on intent signals
5Push qualified leads back to your pipeline

Event lead processing

1Rep drops an event CSV into the workflow
2AI maps columns to your CRM schema automatically
3Enrich, normalize, and deduplicate each record
4Create or update leads, contacts, and accounts
5Reps clone and run it — no ops bottleneck

Account-based research

1Identify target accounts from ICP criteria
2Deep-research each company (10K, news, hiring)
3Map the buying committee at each account
4Generate account briefs for your sales team
5Export to Google Slides for exec review

Revenue operations

Replace ad hoc executionwith an operating system.

Orange Slice gives your revenue team a shared execution layer, so work no longer depends on who is online, which spreadsheet is current, or which automation silently broke last week.

Make the best process the default

Build the workflow once, then let reps and operators run the same proven process without reinventing it every time.

Keep systems aligned

Normalize, map, and deduplicate records against your CRM schema so downstream reporting and routing stay clean.

Reduce operational entropy

Consolidate scripts, spreadsheets, enrichment tools, and one-off automations into a platform your team can actually manage.

System outcomes

The properties of engineered execution

This is what changes when revenue work runs on a system instead of scattered people, tools, and one-off logic.

Repeatable
Same workflow logic across every run
Observable
Step-by-step visibility into execution
Recoverable
Automatic resume after transient failures
Controlled
Rate limits and concurrency governed centrally
Consistent
Deduped, schema-aware writes into core systems
Improving
Run history that helps ops tighten the process

Stop running revenue on heroics.

Build a revenue system your team can trust: repeatable workflows, resilient execution, and the visibility to keep improving the process over time.

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