# Isabella Bedoya

Isabella Bedoya builds AI-powered systems for business sales, client intake, and content production. Her LinkedIn posts show how she applies automation to consulting workflows and experiments with AI-generated social media content.

- Profile: https://b2binfluencer.marketing/creators/isabella-bedoya/
- LinkedIn: https://www.linkedin.com/in/izzword
- LinkedIn followers: 7,315
- Median of last 9 posts: 38 reactions, 14 comments (checked 2026-11-02)
- YouTube: https://www.youtube.com/channel/UCMVy_dHsV27CndBqoWueQ9g
- Topics: artificial-intelligence, sales, entrepreneurship
- Based on 8 dated posts, latest 2026-10-06

## Summary

Isabella Bedoya is most useful for showing concrete AI workflow steps for sales, intake, and content with human review.

- Best for: B2B sales-tech or AI platform campaigns about multi-channel follow-up with human approval.
- Not for: Consumer beauty or lifestyle campaigns needing on-camera personal routine endorsement.
- Check first: Ask for recent LinkedIn audience demographics and comparable campaign results before contacting.

### Takeaways

- Payment triggers agreement, voice-agent intake, document collection, scheduling, reminders, CRM updates, and client debrief.
- AI sales example reports conversations across channels; uncertain messages were held for her review.
- AI influencer updates track audience growth and later connect to content and customer-journey system.

## Main ideas

- **AI should run complete workflows, not single steps**: Bedoya argues that AI creates more value when it connects a whole business process end to end. In her consulting example, payment triggers an agreement; signing unlocks an AI voice agent that does intake; the system collects documents, books a meeting, sends reminders, updates the CRM, and produces a debrief before the call. In sales, she says an AI handled calls, web chat, texts, and email while remembering the conversation across channels, and that it flagged uncertain messages for her to edit or approve. Her reasoning is that AI can gather richer context than a static form, cost less per conversation, and let both sides arrive prepared.
- **Judge AI by return on spend, not novelty**: A recurring priority is that AI use should be measured financially. She presents costs next to revenue and treats ROI as the point. She also frames content automation around a customer journey rather than posting for its own sake, saying AI influencers should become 'revenue generating machines' and that the system runs from 'content created → customer sold.'
- **Platform dependence is a risk to automate around**: Bedoya argues that creators and businesses should not rely on one channel. She says LinkedIn algorithm updates caused a decline in her reach, which pushed her to diversify. Rather than being the person making all the content, she says she built AI systems to produce and distribute it, and she describes installing the same content system into a professional services business that previously needed five people and multiple tools.
- **An AI influencer can be a testable growth asset**: She treats an AI-generated social account as an experiment with measurable inputs and outputs. She reports follower counts, views, posting volume, and per-video AI costs, then tests monetization. The posts show a shift from pure growth updates toward brand and UGC monetization and automating the posting schedule.
- **Persistence and documenting the journey are priorities**: Bedoya argues that entrepreneurship is a progression of effort and payment, and that repeated attempts make success more likely. She says 'never quit' and links her own path from hourly work to a seven-figure AI business as evidence that documenting the journey matters.
- **AI also belongs in personal, high-stakes decisions**: She argues AI is not only for work. She describes using Claude to negotiate a car lease and compare insurance, saying she did not need to become an expert because AI needed to know enough about her to help her decide better. She labels the result a personal account, not financial advice.
- **A pricing and gender-dynamics tension she raises**: In one post Bedoya describes a difficult sales call with a VP of sales who dismissed her. She says she shared a $50,000 starting rate and ended the call; the other person then sent a screenshot of a $247,000 bank balance. She says she has seen similar behavior from older men in business and asks whether it is because she is a woman. This is a standalone tension in the supplied posts, not a recurring theme, and it shows her arguing for high pricing and against accepting dismissive treatment.

## Work to read

- [Automating the consulting call, from payment to prepared meeting](https://www.linkedin.com/posts/izzword_i_automated_my_11_consulting_calls_copy-activity-7508971552151863297-8sNC)
- [Her AI sales system’s reported $4,829 result](https://www.linkedin.com/posts/izzword_my-ai-closed-4829-without-me-heres-how-activity-7513261153737670657-3SrZ)
- [An AI influencer grows from three followers](https://www.linkedin.com/posts/izzword_last-thursday-3-followers-this-thursday-activity-7516515591546048512-UE-L)
- [An AI influencer’s early growth and first monetization test](https://www.linkedin.com/posts/izzword_quick-update-on-my-ai-influencer-0-6k-activity-7515839314610548736-EK5h)
- [Using Claude for a car lease and insurance decision](https://www.linkedin.com/posts/izzword_i-got-a-brand-new-2026-bmw-x3-yesterday-activity-7519131487586254849-UD1d)

## Brand relationships

- **IzzyOS** (disclosed_partnership)
- **Anthropic (Claude)** (mention)

## Partnerships

Isabella Bedoya's documented commercial offers are consulting and system-building work rather than a public sponsorship program. In her own posts she sells one-to-one advisory at a stated $50,000 starting rate for one described request, installs AI content and sales systems inside client businesses, and is monetising an AI-generated influencer account through brand and UGC deals. A B2B AI or sales-tech company can engage her at three levels: as a systems implementer, as a paid advisor, or through the AI persona account as a place for brand and UGC placements. What the reviewed posts do not contain is a published sponsorship policy, rate card, audience demographics for brand deals, or a partnership inquiry page. Those terms have to be settled directly, and the figures below should be read as her own stated examples rather than a rate sheet.

## Alternatives

- Brady Kirkpatrick: For the same campaign, choose Brady Kirkpatrick when the buyer's priority is client onboarding or financial-advisory workflow automation rather than inbound sales conversation handling. The supplied posts document a repeatable onboarding build: a contract or payment triggers a CRM update, folder creation, project board setup, welcome email, team notification, and kickoff scheduling. A second post describes meeting prep, document organization, post-meeting follow-ups, milestone triggers, and personalized client updates for advisory practices. That makes Brady a stronger choice if the vendor wants to reach financial advisors, professional-services firms, or operations leads with a domain-specific automation story.
- Othmane Khadri: Choose Othmane Khadri when the buyer wants a technical GTM operator who can show agents working inside CRM and sales operations. The supplied posts describe a Claude Code and Yalc.ai agent that pulls closed-lost deals from Attio, reads lost reasons and recent activities, clusters objections, scores open deals on losing patterns, and drafts personalized reactivation messages. Another post documents an open-source agent built to detect AI comments and run DM conversations. That is a stronger match if the campaign needs CRM-integration credibility, lost-deal analysis, or a builder-led demonstration for revenue operations and sales leaders.
- Max Thilén: Choose Max Thilén when the campaign needs a strategic AI-native marketing operating model rather than a single sales follow-up workflow. The supplied posts lay out self-improving loops, a shared context layer, agent access to ad accounts and CRM, skill-based workflows, orchestration, model selection by task, agent safety rules, and quality measurement. Another post explains why OpenAI's $200 Pro plan signups paused and lists automated jobs for CRM maintenance, ad-creative tagging, call analysis, competitor monitoring, and landing-page personalization. That is a stronger fit if the vendor wants thought leadership for marketing leaders, agency operators, or AI transformation buyers.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/