Orange Slice

What is Orange Slice?

Orange Slice is an AI-powered workflow that turns a conversation into enriched B2B lead lists and CRM updates. It uses AI agents assigned to spreadsheet columns to research leads, summarize companies, verify contact information, and score or qualify prospects based on provided criteria.

The core purpose is to help sales and RevOps teams move from defining “who you’re looking for” to getting an exportable set of researched rows (firmographics, technographics, contacts, and signals) and optionally routing qualified leads into a CRM workflow—without relying on manual filters and boolean searches.

Key Features

• Spreadsheet-style workflows with AI agents per column: You assign tasks such as finding emails, summarizing companies, scoring leads, and the system enriches each row automatically.
• Lead Generation Agent (natural-language lead finding): Describe the type of company or person you want in plain English to generate a researched lead list in seconds, rather than building complex filters.
• Data Enrichment Agent (firmographics, technographics, verified contacts): Upload a list of companies or people and receive additional fields like revenue, headcount, tech stack details, and verified contact data pulled from live sources.
• Signal-based lead qualification and scoring: Turn intent and signal inputs into a scored list (including a “fit score” and recommended next step) that highlights higher-intent accounts.
• CRM Agent for conversational pipeline management: Query and manage pipeline information by asking questions (e.g., what deals are closing or at risk) and update deals, research accounts, draft follow-ups, and keep CRM records accurate.

How to Use Orange Slice

1. Describe your target leads in plain English (e.g., by industry, location, and role), or provide an existing list of companies/people to enrich.
2. Set the workflow goal by choosing the appropriate agent behavior: generate leads, enrich data fields, qualify by signals, or manage pipeline tasks.
3. Review the resulting AI-enriched spreadsheet where each column corresponds to an assigned task (emails, summaries, firmographics/technographics, scores, and next steps).
4. Export or route outputs: export the enriched list elsewhere, and use the CRM workflow to push qualified leads or keep deal/account context current.

Use Cases

• Generate a targeted lead list without boolean filters: “Find 50 Series A fintech companies in NYC that just hired a Head of Sales,” then use the resulting researched and enriched rows as the basis for outreach.
• Enrich a company list with revenue, headcount, and contacts: Upload a set of 200 companies and request firmographics, technographics (e.g., tech stack), and verified contact details returned from live sources.
• Qualify inbound demo requests and prioritize accounts: Score inbound leads using firmographic and intent signals, then flag accounts that are ready for sales and identify the recommended next step.
• Assess pipeline risk using CRM data: Ask how the Q1 pipeline looks and identify which deals appear at risk or still in early stages, with deal-level summaries based on CRM information.
• Route qualified leads into CRM or outbound sequences: Use the qualification results (scores, contacts, and next-step guidance) to push the highest-intent accounts into follow-up workflows.

FAQ

What kinds of information can Orange Slice enrich?

Orange Slice can enrich leads with firmographics, technographics, and verified contact data, based on uploaded company or person lists and its research workflows.

Can I start from an existing list instead of a description?

Yes. The Data Enrichment Agent workflow supports uploading a list of companies or people and returning additional details such as firmographics, technographics, and verified contacts.

How does Orange Slice handle lead finding and filtering?

Instead of using filters and boolean searches, you can describe the target audience in plain English, and the system generates a researched lead list.

Does Orange Slice interact with my CRM?

The CRM Agent is designed to query CRM information and support pipeline management tasks through conversation, including drafting follow-ups and keeping CRM data current.

What output format does Orange Slice produce?

The product is described as producing an AI-powered spreadsheet where each column is an AI agent task, and the enriched results can be exported.

Alternatives

• Manual spreadsheet-based lead research: Research leads using spreadsheets plus separate tools for company data and contact lookup. This can be more labor-intensive because you must build and maintain filters and enrichment steps yourself.
• CRM-focused lead management tools: Tools that primarily manage pipelines and CRM records without conversational lead generation and automated column-based enrichment may require more data preparation upstream.
• General-purpose AI assistants with data enrichment workflows: Using an AI chatbot plus external databases/APIs can replicate the “prompt to structured output” pattern, but it typically requires more setup to perform verification, scoring, and CRM-oriented routing.
• Sales intelligence platforms with enrichment and scoring: Platforms that centralize firmographics/technographics and intent-like signals may offer similar data coverage, though workflows may be driven by dashboards and predefined fields rather than conversational, column-based agent tasks.