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.

Pull leads from Salesforce

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.

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.

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.

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.

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.

Live run

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.

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.

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.

Model the operating logic

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

Encode the controls

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

Measure and improve execution

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

Revenue systems are defined by 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.

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

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

Event lead processing

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

Account-based research

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

Replace ad hoc execution with 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.

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.