AI app for sales · no coding needed
Consent-based outreach coordination portal
Reduce tool sprawl while keeping outreach consent-based and measurable.
Made for: Sales teams and agencies running cold email outreach to generate and convert leads
What it does for you
The problem
Outreach is split across many rented tools, so personalization, sequencing, deliverability and reporting do not share one workflow or one data record.
What it gives you
Reviewed outreach queue with approved sequences and reply handling
What you give it
Permitted lead sourcesrecipient attributescampaign rulesreply history
Build your own version of EmailFlow.AI, Clodo and more
One app with what these 10 AI tools do, yours to keep and change: EmailFlow.AI, Clodo, Salesforge, Robin AI, Cold Mail Bot, SalesTarget.ai, FuseAI, PipeLime, Nureply, Reach from SalesStream.ai.
Everything these tools do, in one app
- AI email drafting Generates personalized email content automatically based on context and recipient data.Found in EmailFlow.AI, Salesforge, Robin AI and 2 more
- Automated email sequences Sends a series of emails with customizable follow-ups on a schedule.Found in Cold Mail Bot, SalesTarget.ai, Nureply and 1 more
- Personalization based on data Tailors email content using recipient information such as lead attributes or online profiles.Found in Robin AI, Cold Mail Bot, SalesTarget.ai and 2 more
- Lead generation and discovery Finds and collects potential leads automatically from various sources.Found in PipeLime, SalesTarget.ai, Clodo and 1 more
- Email deliverability optimization Improves the chances that emails reach the primary inbox and avoid spam filters.Found in Salesforge, PipeLime, Nureply and 2 more
- CRM integration Connects with customer relationship management systems to synchronize data and workflows.Found in Salesforge, Robin AI, Cold Mail Bot and 2 more
- Analytics and reporting Tracks and reports on email campaign performance metrics like open rates, clicks, and replies.Found in Cold Mail Bot, Reach from SalesStream.ai
- Email warm-up Gradually increases email sending volume to build sender reputation and improve deliverability.Found in Nureply, FuseAI
- Multi-channel outreach Engages prospects through multiple channels such as email, phone calls, SMS, and chat.Found in Robin AI, Reach from SalesStream.ai, FuseAI
- Intent signal detection Identifies real-time signals from across the web that indicate potential buying interest.Found in Clodo, FuseAI
- Contact enrichment Enriches lead profiles with additional data to identify decision-makers and improve targeting.Found in Clodo, FuseAI
- Email sorting and categorization Automatically organizes incoming emails into categories for better inbox management.Found in EmailFlow.AI
- Follow-up reminders Reminds users to follow up on important conversations to avoid missing opportunities.Found in EmailFlow.AI
- Customizable templates Provides pre-designed email templates that can be customized for repetitive outreach.Found in EmailFlow.AI, Cold Mail Bot, Nureply and 1 more
- Objection handling emails Crafts tailored responses to lead objections to help schedule calls with sales reps.Found in Robin AI
- AI Co-pilot recommendations Suggests who to target, optimal outreach timing, and next actions based on data.Found in SalesTarget.ai
- A/B testing and optimization Tests different email variations and automatically optimizes campaigns for better performance.Found in SalesTarget.ai
- LinkedIn automation Automates outreach and engagement on LinkedIn to connect with prospects.Found in FuseAI
How it works, step by step
- Discover and collect leads from permitted sources
- Enrich lead profiles with decision-maker attributes
- Detect intent signals from permitted web sources
- Draft personalized email content from recipient data
- Apply customizable templates to repetitive outreach
- Build automated sequences with scheduled follow-ups
- Warm up sending volume to build sender reputation
- Optimize deliverability to reach the primary inbox
- Sort and categorize incoming replies
- Draft objection-handling responses for review
- Recommend targets, timing and next actions
- Run A/B tests and optimize campaign variants
- Support multi-channel steps such as calls, SMS and chat
- Automate permitted LinkedIn outreach and engagement
- Sync contacts and activity with the CRM
- Report open, click and reply metrics
- Remind owners to follow up on open conversations
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewed outreach queue with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Consent-based outreach coordination portal with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Consent-based outreach coordination portal with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links5 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare25 KB
- prompt-vps.mdThe same build on your own server (Docker)25 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria11 KB
- demo/index.htmlThe working demo on sample data195 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce tool sprawl while keeping outreach consent-based and measurable. For sales teams and agencies running cold email outreach to generate and convert leads, convert permitted lead sources, recipient attributes, campaign rules and reply history into a reviewed outreach queue with approved sequences and reply handling. The benefit is a testable hypothesis, measured through accepted qualified conversations per outreach hour and opt-out or complaint rate; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect permitted lead sources, recipient attributes, campaign rules and reply history, then follow this sequence: 1. Discover and collect leads from permitted sources. 2. Enrich lead profiles with decision-maker attributes. 3. Detect intent signals from permitted web sources. 4. Draft personalized email content from recipient data. 5. Apply customizable templates to repetitive outreach. 6. Build automated sequences with scheduled follow-ups. 7. Warm up sending volume to build sender reputation. 8. Optimize deliverability to reach the primary inbox. 9. Sort and categorize incoming replies. 10. Draft objection-handling responses for review. 11. Recommend targets, timing and next actions. 12. Run A/B tests and optimize campaign variants. 13. Support multi-channel steps such as calls, SMS and chat. 14. Automate permitted LinkedIn outreach and engagement. 15. Sync contacts and activity with the CRM. 16. Report open, click and reply metrics. 17. Remind owners to follow up on open conversations. Resolve uncertain cases with qualified reviewers, approve the reviewed outreach queue, and measure accepted qualified conversations per outreach hour and opt-out or complaint rate against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints, consent checks and reproducible tests. Review source-linked explanations and uncertainty before accepting results. Sending limits, consent basis and suppression lists remain human-controlled. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve recipient consent, source attribution, suppression lists and usage permissions. Buyers approve substantive changes and sending scope. One outreach channel and one permitted lead source; sending limits, consent basis and suppression lists remain human-controlled. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One outreach channel and one permitted lead source; sending limits, consent basis and suppression lists remain human-controlled. Implement one approved input format, a bounded representative case set and the first two task modules: discover and collect leads from permitted sources; enrich lead profiles with decision-maker attributes. Support the remaining modules with operator review: draft personalized email content, build automated sequences, optimize deliverability, sort replies, draft objection-handling responses, recommend next actions, run A/B tests, support multi-channel steps, automate permitted LinkedIn outreach, sync with the CRM, report metrics and remind owners. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Buyer-owned lead lists, authorized CRM records and permitted research sources. Cloud data storage, CRM import/export and email sending destinations. Start with file exchange and validate destination specifications before promising direct sending. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Lead and consent intake, Editable campaign queue, Reply and handoff. Use a list view for leads and campaigns, a central editing canvas for sequences and drafts, and a right-hand panel for recipient attributes, consent basis and comments. Let users compare draft versions side by side. Display draft, changes requested and approved states. Provide a reviewer preview link with comments anchored to the relevant message. Make the task-specific outcome reviewed outreach queue with approved sequences and reply handling visible beside its evidence, review state and value baseline.
