# Alex Gonzalez

Alex Gonzalez writes about Voice AI for telecom providers and managed service providers (MSPs), focusing on practical ways to measure outcomes, identify automation opportunities, and route callers to AI or human help.

- Profile: https://b2binfluencer.marketing/creators/alex-gonzalez/
- LinkedIn: https://www.linkedin.com/in/miamiceo
- Topics: artificial-intelligence, sales, customer-experience
- Based on 12 dated posts, latest 2026-10-09

## Summary

Alex Gonzalez is most useful for explaining practical Voice AI outcomes and provider sales enablement to telecom and MSP audiences.

- Best for: This fits Voice AI, telecom or MSP software vendors seeking provider-facing thought leadership and sales enablement.
- Not for: This does not fit consumer lifestyle campaigns or broad consumer reach endorsements.
- Check first: Confirm audience job roles, company types, recent reach, engagement and partnership terms.

### Takeaways

- A slightly robotic AI that works can beat a human-sounding one that does not.
- Measure leads, bookings, resolved requests and calls handed to people, not call volume.
- Train provider sales teams to spot automation opportunities before the AI request.

## Main ideas

- **A slightly robotic AI that works beats a human-sounding one that doesn't**: Gonzalez's core buying criterion for Voice AI is production reliability, not voice fidelity. Asked to choose between two agents for an MSP's customers, they pick the one that sounds less natural but responds faster, follows instructions consistently, completes tasks, and transfers calls correctly. Voice quality matters, but it wins demos; reliability wins customers. Gonzalez connects this to telecom's long-standing focus on call quality, routing, and uptime, and says SkipHold is being built around the whole communications experience, not just the voice.
- **Measure what an AI call accomplished, not how many calls it answered**: Gonzalez argues that call volume, minutes handled, and time saved are useful but incomplete: two businesses with identical AI call counts can have very different understandings of the value delivered. They frame outcome measurement as a natural next step for MSPs and telcos, which already measure infrastructure such as call volume, duration, quality, and uptime. AI adds the ability to measure what a conversation accomplished, Gonzalez argues, giving providers an answer that makes their service more valuable.
- **Automate the right conversations, not every conversation**: Gonzalez distinguishes the buyer of AI from the person on the other end of the call: the business buying the AI isn't the person calling it. Some callers are happy with AI, some want a human, and some situations need one. They warn against an agent determined to finish a conversation at all costs, arguing that the goal should be to automate the right calls and make the rest easier for human teams to handle. AI receptionists, human teams, warm transfers, and shared conversation context are parts of one customer experience, not competing products.
- **Grow an account by adding services, not seats**: Gonzalez opens with telecom's traditional growth model — more employees, extensions, phone numbers, and locations — and argues that AI changes the economics. A customer whose headcount stays flat can still expand its communications needs by automating after-hours reception, appointment scheduling, lead qualification, follow-ups, and internal support requests. In this framing, growth comes from adding services, workflows, and capabilities to an existing relationship, not adding users. Gonzalez says SkipHold is built around that model, with AI Receptionists, Managers, and Personal Assistants that providers can offer as managed services.
- **Train provider sales teams to spot the signal before the AI request**: Most sales teams are trained to respond once a customer asks for AI; Gonzalez says they should learn to recognize the ordinary complaints that come first. Provider account teams already have these conversations, giving providers an advantage over pure AI companies, Gonzalez argues — but only if they turn routine account talk into automation opportunities and make AI another solution the existing team knows when to raise, not a separate sales motion.

## Work to read

- [Why a less human-sounding AI agent can be the safer pick](https://www.linkedin.com/posts/miamiceo_skiphold-voiceai-telecom-activity-7514029356176789505-qYyI)
- [Moving the Voice AI metric from calls answered to outcomes delivered](https://www.linkedin.com/posts/miamiceo_skiphold-voiceai-msp-activity-7514364054342090752-tzNA)
- [Automate the right calls, not every call](https://www.linkedin.com/posts/miamiceo_skiphold-voiceai-customerexperience-activity-7513984867953426433-Zwef)
- [Account growth without adding seats](https://www.linkedin.com/posts/miamiceo_skiphold-telecom-msp-activity-7513639250798559232-Qui_)
- [Teaching sales teams to spot AI opportunities in ordinary account conversations](https://www.linkedin.com/posts/miamiceo_skiphold-msp-telecom-activity-7513639250798559232-Qui_)

## Brand relationships

- **SkipHold** (disclosed_partnership)

## Partnerships

Alex Gonzalez's five posts are first-person commentary on Voice AI for telecom providers and MSPs, each ending with a link to skiphold.com. For a brand considering them as a subject-matter voice on Voice AI positioning and provider enablement, the posts offer a clear format: short, structured arguments for MSP and telecom readers, built around a single idea, a two-sided comparison or a small framework a sales team could reuse, and ending with a product link. The posts are promotional in shape, so any commissioned content would appear alongside their own SkipHold messaging, not in a neutral editorial setting. Ask directly whether Gonzalez takes on sponsored or commissioned content, and confirm deliverables, audience terms, pricing and partnership details before proceeding.

## Alternatives

- Tatiana Finkelsteyn: A better choice when the campaign targets enterprises buying telecom, not MSPs or telcos selling it. Finkelsteyn's posts examine how enterprises have tried to solve the “telecom problem” through aggregators, consultants, agents, TEM platforms, and MSPs, and argue for one partner spanning engineering, contracting, and invoicing. The “guess your telecom spend” exercise is the sharpest example: after a few questions at a conference, Finkelsteyn guessed an organization's monthly telecom spend and was right about half the time; one infrastructure manager estimated $20,000 a month against a real figure closer to $170,000. If the campaign aims to make enterprise buyers question their current telecom setup, cost visibility, or contract structure, this material speaks to that decision more directly than Gonzalez's posts.
- Christopher Hale: A better choice when the campaign targets small-business owners as end customers, rather than MSPs and telcos as channel partners. Hale's posts speak directly to owners: the “$600 billion” AI spending headline; why that spending makes AI cheaper to try (a deployment that took enterprises 18 months and $2M two years ago now takes 14 days with no upfront cost); and outcomes that matter to a smaller business — calls answered around the clock, leads followed up in seconds, fewer no-shows, and front-desk overhead that does not scale with headcount. For demand generation aimed at businesses that would buy an AI receptionist, that framing is closer to the reader than provider enablement.
- Roger Collins: A better choice when the campaign is about how MSPs run and grow client accounts, rather than AI product positioning. Collins's quarterly business review framework lays out a working slide structure — business update, executive summary, security review, service experience review, strategic roadmap, risk review, recommendations — and ties it to a commercial result: turning a $3,000-a-month client into a $10,000-a-month strategic account. The detail is operational, down to telling a story with the data (“we blocked 4,219 malicious emails this quarter”) and quantifying risk so a C-suite will pay attention. A vendor selling into MSPs and trying to shape how they conduct client reviews would find that closer to the decision than Voice AI messaging.

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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/