# Nathan Schweitzer

Nathan Schweitzer helps medical clinics improve their back-office systems, including CRM and health-management software, to attract more clients and save staff time. Through Swissman Systems, Schweitzer also shares practical advice on business technology and connecting AI tools to apps such as CRMs.

- Profile: https://b2binfluencer.marketing/creators/nathan-schweitzer/
- LinkedIn: https://www.linkedin.com/in/swissmansystems
- LinkedIn followers: 1,534
- Topics: artificial-intelligence
- Based on 11 dated posts, latest 2026-09-30

## Summary

They are most useful for practical examples of reducing manual clinic back-office tasks and connecting AI tools to existing apps.

- Best for: A medical software consulting firm planning a CRM automation content collaboration for clinics.
- Not for: A large hospital-network campaign for CIOs and compliance officers needing verified reach and whitepaper deliverables.
- Check first: Confirm follower analytics, audience breakdown, engagement numbers, and whether they offer sponsored work.

### Takeaways

- Rebuilt a clinic CRM from the ground up and moved data off an old EHR.
- Automated tasks so the owner no longer processes orders manually.
- Explains MCP connectors to non-experts and names outcomes like transcripts becoming CRM updates.

## Main ideas

- **Clinic back-office systems are the main commercial priority**: Nathan Schweitzer presents Swissman Systems as a business that helps medical clinics attract more clients and save staff hours by improving back-office digital systems, specifically CRMs and health-management systems. The work is hands-on: rebuilding a clinic’s CRM from the ground up, transferring data from an old EHR, and building automations so the tool can run without the owner filling out forms or processing orders. The launch post also mentions a commitment to helping nonprofits and churches, but clinics are the clearest commercial audience.
- **AI becomes useful when it is connected to the tools a business already uses**: Nathan Schweitzer argues that many people experiment with AI without making it useful. The unlock, they say, is connecting it to apps through MCPs or connectors. Once AI can reach tools such as HubSpot, Salesforce, QuickBooks, Notion, and RingCentral, it can pull transcripts, update CRMs, and create tasks. The post presents this as a bridge between AI and existing work, not a replacement for those tools.
- **The point of business systems is to give owners time back**: Nathan Schweitzer links CRM, POS, HRIS, intranet, website, and lead-generation work to a human outcome: giving owners time to work on the business or be with family instead of feeling run by the business. The argument is that streamlining a crowded tech stack changes daily operations, not just software. Humor and personal detail carry the message, including a comparison between organizing a CRM and organizing a sock drawer.
- **Build in public and teach from the actual work**: Nathan Schweitzer uses an ongoing project as material for teaching. The posts ask readers whether they have rebuilt a CRM, offer tips as the build progresses, and test interest before producing more. This supports a broader case for original, experience-based problem-solving over generic AI-generated advice.
- **Clinic work sits inside a wider operator audience**: The posts position medical clinics as the primary market, with nonprofits and churches as mission-aligned audiences Nathan Schweitzer also wants to help. The teaching voice addresses business operators and owners broadly, presenting clinic CRM work as one application of a wider interest in smarter systems.

## Work to read

- [Swissman Systems launches full time with a focus on clinics](https://www.linkedin.com/posts/swissmansystems_we-have-a-big-announcement-we-are-launching-activity-7505772055573839875-l7wC)
- [Rebuilding a CRM for a medical clinic](https://www.linkedin.com/posts/swissmansystems_have-you-rebuilt-a-crm-engine-im-in-the-activity-7476694867805667328-f6Tm)
- [A beginner’s guide to connecting AI tools with MCPs](https://www.linkedin.com/posts/swissmansystems_turn-your-ai-from-a-google-search-into-a-activity-7466173632747331585-7R66)
- [A 30-day business tech giveaway](https://www.linkedin.com/posts/swissmansystems_for-the-person-in-your-life-who-cant-pull-activity-7486554354582310912-c8y5)
- [Turning stress-cleaning into a systems career](https://www.linkedin.com/posts/swissmansystems_if-only-you-were-as-excited-as-i-am-about-activity-7508001839422799872-BWM3)

## Brand relationships

- **Swissman Systems** (owned_business)

## Partnerships

Nathan Schweitzer's posts do not describe sponsorship or partnership formats. The available posts show a small consulting business, Swissman Systems, which builds and rebuilds CRM and health-management back-office systems for medical clinics and publishes free practical tutorials on connecting AI tools to business software. The partner-facing activity that does appear is unpaid: a public 30-day giveaway of business technology tools and AI solutions for owners and operators, an open invitation to connect, ask questions, and request help, and a standing "DM me to say hello" greeting. There is no media kit, rate card, audience breakdown, published sponsorship policy, or stated deliverable list. For a medical software consulting firm planning a content collaboration on CRM automation for clinics, ask directly about terms and deliverables; the page does not publish an offer to buy against.

## Alternatives

- Noah Stambovsky: If the clinic-software firm narrows the collaboration to CRM data architecture, tool consolidation, and AI readiness rather than a hands-on clinic rebuild, Noah Stambovsky is the better choice. Their posts cover the same buyer task at the systems and operations layer: connecting point solutions through MCPs so Claude and ChatGPT can work across disconnected tools; fixing HubSpot lifecycle stages, handoffs, ownership, and workflows; and comparing clean, siloed data with rushed consolidation. The post about New Breed's State of HubSpot 2026 adds survey-backed context from 1,200+ CRM users and decision-makers, suiting a firm that wants report-led thought leadership on GTM operations and AI-ready data. Nathan's evidence is stronger for building and automating a clinic CRM; Noah's is stronger for the operating model and data hygiene around a CRM.
- Clayton Bates: Clayton Bates is the better choice if the collaboration shifts from clinic CRM automation to ecommerce growth, website conversion, or community-led coaching. Their posts show Shopify website work, a client reaching a 100k-in-a-month milestone, YouTube clips used to build trust and engagement, and a free Skool community covering web design, conversion optimization, and content strategy. For a clinic software firm planning a content series about turning a clinic website into a client-attraction engine, Clayton's conversion proof is more direct than Nathan's clinic systems proof.
- Motti Sorani: Motti Sorani is the better choice if the firm reframes the collaboration around security, application-security remediation, or developer-facing risk content. Their posts explain a path into offensive security through studying computer viruses and argue that cybersecurity ROI requires fixing issues at scale rather than adding alerts, with a last-mile remediation message for engineering workflows. A security vendor, or a clinic-software firm selling compliance-adjacent security content, would get a more relevant voice from Motti than from Nathan.

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