Matthew Bagley shares practical guidance on managing technology for small and midsize businesses, including IT planning, ransomware recovery, and responsible AI use. The posts also connect technology planning with the EOS business framework.
Matthew Bagley is useful for practical SMB technology content on IT planning, ransomware recovery, and AI governance.
Best for
This fits a managed IT services company seeking content collaboration on SMB technology strategy.
Not for
This does not fit a global enterprise AI platform seeking CISO-level AI governance thought leadership.
Key takeaways
Technology planning can follow the company's existing operating rhythm, such as EOS routines.
Ransomware recovery planning includes offline backups, tested playbooks, employee scam testing, and insurance-style preparation.
AI governance for small businesses should address confidential data, copyright, privacy, transparency, and discrimination.
Check first: Confirm recent audience data and any documented survey results before contacting them.
Main ideas
Technology planning should follow the company’s existing operating rhythm · Security spending is a budget question before it is a technical one · AI governance should shrink to fit a small business, not be skipped
Matthew Bagley shares practical guidance on technology decisions for small and midsize businesses.
Their posts connect IT planning with the EOS business framework, explain priorities for ransomware recovery, and offer examples of workplace AI safeguards.
Follow their work for ways to connect technology choices to everyday business operations.
Bagley connects technology concerns to business decisions.
In a post about EOS-aligned IT planning, they map familiar routines—an issues list and quarterly planning—to technology priorities.
The ransomware recovery post points to offline backups and tested recovery plans, while the AI governance post raises practical questions about confidential data and AI-assisted decisions.
Across these topics, they turn technology risks and plans into specific questions and next steps for smaller businesses.
Matthew Bagley writes about technology as a business decision, not a technical one.
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Across three posts, the argument is consistent: handle computers, security, and AI with the same discipline the company applies elsewhere—on the same planning rhythm, weighed like insurance, and governed by policy rather than left to whoever knows the most about technology.
Each post takes a topic an owner might treat as someone else’s problem and shows the business decision underneath.
The posts come from inside Prosper IT, the managed-services business Bagley says runs on EOS, so the advice and service offer point in the same direction.
Technology planning should follow the company’s existing operating rhythm
Bagley argues that technology becomes a problem when it sits outside the way a business already plans and reviews work.
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For a company running on EOS—the management system built around Level 10 meetings, Rocks, and Quarterly Conversations—the answer is not a separate IT process but a translation into the vocabulary the team already uses.
A technology roadmap becomes an owner-tagged issues list, ready for the same identify-discuss-solve treatment as other business problems.
A 90-day technology review becomes the quarterly conversation that sets the next IT priorities.
When technology follows the same rhythm as the rest of the business, it stops hijacking traction.
Bagley says the Visionary can focus on growth, the Integrator can keep operations moving, and the “accidental IT person” can get their day job back.
The post maps three EOS tools to IT equivalents: a prioritized, owner-tagged IT Issues List; a 90-day “Quarterly Conversation” for technology, paired with quarterly planning to choose the coming quarter’s IT Rocks; and a named IT Prosperity Process for turning tech chaos into measurable momentum. Prosper IT runs EOS itself, making the vocabulary part of the company’s operating method, not a marketing gloss.
Security spending is a budget question before it is a technical one
Bagley’s ransomware argument starts with cost, not products.
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Citing an average hit to small and midsize businesses of $120,000 to $1.2 million once downtime, recovery, and lost business are counted, they frame resilience as something to fund and insure, not a checkbox to tick.
Basic file backup does not cover this risk: the money needs to go toward full business continuity, including offsite or offline copies that ransomware cannot encrypt and recovery playbooks that have been tested, not just written.
The comparison to insurance makes the case: many small firms could not survive an extended outage, so preparedness belongs alongside routine, unglamorous spending such as a policy premium.
The post opens with the line “Got $120,000 up to $1.2 million to waste?”
It then names what the spending should cover—offline backups, tested recovery playbooks, and employee training—before offering to run scam tests on staff or review a reader’s existing backup and recovery plans.
The dollar range is presented as an industry average without a cited source or date, so buyers should ask for its source before using it as a benchmark.
AI governance should shrink to fit a small business, not be skipped
Bagley’s third argument is that governance is no longer just a big-company concern.
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Once ChatGPT and AI-driven analytics are in everyday use, a small business faces the same questions as a large one: how to use AI responsibly, ethically, and legally.
The answer is to write down a few decisions, not hire a compliance department.
Those decisions include whether employees may paste confidential data into a chatbot, how to use AI-generated content without infringing copyright, whether customer data reaches external AI services, whether a recommendation can be explained, and whether AI used in hiring or lending could discriminate.
Without guardrails, a small firm risks a regulatory breach or a loss of customer trust from a single careless use.
Bagley’s prescription is deliberately modest: a simple plan endorsed by leadership and updated as the law changes.
The post lists policy questions a small business can answer, such as whether employees can enter confidential data into an AI chatbot and what guidelines should govern AI-generated content and copyright.
It also sketches areas a framework should cover: data privacy, decision transparency, and avoiding discrimination when AI informs hiring or lending.
Buyers who need a template or jurisdiction-specific legal guidance should ask for it.
Explains why backup is a budget line, not a checkbox.
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Start here for the dollar framing and the concrete list of what a recovery plan should contain.
The post opens with a cost range: an average cyberattack costs an SMB roughly $120,000 to $1.2 million once downtime, recovery, and lost business are counted.
It argues that file backup alone is not enough; business continuity planning should include offsite or offline backups that ransomware cannot encrypt and tested recovery playbooks.
Many small firms, it adds, would struggle to survive an extended outage, making ransomware resilience—from employee training to backup infrastructure—an essential counterpart to insurance.
The post closes by inviting readers to message for help testing whether staff will fall for scams or for another set of eyes on backup and recovery plans.
For brands planning a campaign
Gives a managed IT services brand a cost-anchored hook for a collaboration on resilience. The post names decision points—offline backups, tested playbooks, phishing training, and the insurance comparison—so a follow-up can explore one in depth rather than repeat the warning.
Shows what responsible AI use looks like for a company without a compliance department.
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Start here to see the same governance mindset applied to a newer technology risk.
The post argues that AI governance is no longer only a large-company concern, as tools such as ChatGPT and AI-driven analytics enter everyday small-business work.
It outlines questions SMBs must answer about using AI responsibly, ethically, and legally, with concrete examples: whether employees may put confidential data into a chatbot, and how to use AI-generated content without infringing copyright.
The framework should cover data privacy, decision transparency, and avoiding discrimination when AI informs hiring or lending.
The recommendation: a simple governance plan endorsed by leadership and updated as laws change.
For brands planning a campaign
Offers a managed IT services collaborator a policy-level angle rather than a product pitch. A joint piece could turn the outline into a starter AI-use policy for SMBs, fitting a brief on SMB technology strategy and giving the partner something practical to co-sign.
Matthew Bagley's EOS post targets companies that already run on EOS, the entrepreneurial operating system built around Level 10 meetings, Rocks, and Quarterly Conversations.
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They argue that technology planning should follow the same rhythm: a technology roadmap works like a prioritized, owner-tagged IT Issues List ready for the IDS step, while a 90-day strategic business review works like a Quarterly Conversation for tech, deciding which IT Rocks to take on next.
The payoff is role-specific — Visionaries stay focused on growth, Integrators keep operations moving, and the "accidental IT person" gets their day job back.
The post points to a one-page summary hosted on Prosper IT's site and ends by asking whether technology is fueling a company's traction.
Translates an established management framework the reader already uses into a technology plan, mapping each EOS term to an IT equivalent.
The advice presumes the reader runs EOS; it addresses that audience rather than small businesses choosing a planning system from scratch.
For brands planning a campaign
A good fit for collaborations aimed at EOS-run or similar operating-system-run companies — tooling, managed services, or software that plugs into quarterly planning and issue-tracking routines. Content works best when it uses the reader's own vocabulary rather than generic IT advice.
Ransomware resilience as an SMB budgeting question
Matthew Bagley frames ransomware in dollars, citing an average cost to small and midsize businesses of $120,000 up to $1.2 million once downtime, recovery, and lost business are counted.
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They predict that SMBs will increasingly invest in backup and disaster recovery.
Their argument: basic file backups are not enough — businesses need full continuity, including offsite or offline backups that ransomware cannot encrypt and recovery playbooks that have actually been tested.
They compare that spending to buying insurance, noting that many small firms could not survive an extended outage, and offer employee scam-testing training and a review of existing backup and recovery plans to readers who message them.
Opens with a cost figure and a provocative question, defines the risk in business terms, names specific measures, and offers a concrete next step.
Before using the $120,000-to-$1.2 million range as a statistic, ask for its source and date.
For brands planning a campaign
Suited to security, backup, or continuity vendors whose message centers on prevention and preparedness rather than product features. The dollar framing and tested-recovery angle offer reusable hooks for SMB-facing security content.
AI governance as an SMB concern, not just an enterprise one
Matthew Bagley's AI post argues that governance is no longer just a big-company concern now that small businesses use ChatGPT and AI-driven analytics day to day.
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They list the questions SMBs face — how to use AI responsibly, ethically, and legally — and point to concrete policy decisions, such as whether employees may put confidential data into a chatbot or how to use AI-generated content without infringing copyright.
In their account, a framework should cover data privacy, decision transparency, and avoiding discrimination in hiring or lending decisions.
They warn that without guardrails, SMBs risk regulatory breaches or lost customer trust, and recommend a simple plan endorsed by leadership and updated as laws change.
Reframes an enterprise topic for SMBs, then lists practical policy questions a small business can answer.
For campaigns that need implementation detail, ask for a template, checklist, or jurisdiction-specific legal guidance.
For brands planning a campaign
Useful for legal, compliance, or AI-platform partners targeting SMB decision-makers who need a plain-language starting point. Content can build on the post by supplying templates and policy examples.
The posts point to one business Bagley is publicly associated with: Prosper IT, which they describe in the first person plural while promoting a Prosper IT resource for companies running the EOS business framework.
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They do not specify whether Bagley owns, works for, or contracts with Prosper IT; ask for their role. EOS appears as a framework the posts adopt and adapt, with no sponsorship, endorsement, or commercial tie claimed.
Prosper IT
Disclosed partnership
In a post about running IT the way EOS-run companies run their business, Bagley writes, “At Prosper IT, we also run EOS,” and describes how the company adapted EOS tools—Technology Roadmaps, Strategic Business Reviews, and an “IT Prosperity Process”—into a technology management offer.
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The post links to a one-page Prosper IT resource and invites readers to comment or send a direct message. Bagley speaks as part of the business but does not specify their role; ask whether they own, work for, or otherwise work with Prosper IT.
EOS is the organizing framework across the posts: Bagley says they run it, maps EOS terms such as Level 10 meetings, Rocks, Quarterly Conversations, and IDS onto technology planning, and tags the post #EOS and #Traction.
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The posts present EOS as a method they use and adapt, not as a client or sponsor.
Matthew Bagley's posts offer a practical starting point for small and midsize business leaders who want technology treated as a business decision.
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Start with the EOS-aligned post if your company already runs on EOS, Level 10 meetings, Rocks, and Quarterly Conversations: it maps technology roadmaps to an owner-tagged IT issues list and a 90-day technology review to decide which priorities to tackle next.
Read the ransomware post when the question is budget rather than tooling; it frames continuity spending around downtime and recovery costs, offline backups, and tested recovery playbooks, comparing that discipline to buying insurance.
Read the AI governance post for a plain-language outline of policy decisions an SMB can make, including rules for confidential data in chatbots and AI-generated content.
For context beyond their SMB and managed-services focus, the similar creators below write about enterprise security leadership, software supply chain resilience, and sector-specific cyber risk.
CybersecurityRansomware resilienceAI governanceSMB technology strategyManaged IT servicesEOS operating systemBackup and disaster recoveryLinkedIn postsSMB leadersBusiness owners
Both write for business and security leaders about turning technical risk into a business decision.
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Sandra Roberts frames quantum readiness and CISO priorities as board-level concerns, comparable to Bagley's SMB focus on cybersecurity and AI governance.
Sandra Roberts's material centers on enterprise CISO and board strategy and emerging quantum threats; Bagley's focuses on SMB owners and managed IT, using EOS planning language.
Both explain ransomware and resilience as leadership risks, not just IT issues, and point to immutable or isolated backups and tested recovery as practical responses.
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Jurga's pay-or-not post parallels Bagley's continuity argument.
Jurga focuses on software supply chain and DevOps risk for an enterprise C-suite audience; Bagley writes for SMBs and ties recommendations to the EOS operating rhythm.
Both publish sector-oriented cybersecurity explainers that name threats and mitigations for decision-makers.
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Abtar's lists for pharmaceutical and IoT security and for financial services follow a comparable educational format.
Abtar organizes broad threat catalogs by regulated sector, with a legal and data-protection angle; Bagley writes shorter, SMB-focused posts that turn topics into planning, budgeting, or policy decisions.
Matthew Bagley’s posts address SMB technology decisions, including EOS-aligned IT planning, ransomware recovery, and AI governance.
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For a campaign targeting professionals, request recent platform audience data and documented survey results or another source showing audience company size, industry, roles, and seniority.
Matthew Bagley’s posts document no creator sponsorship or partnership program.
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Published under Prosper IT, they offer services to small and midsize businesses making technology decisions—not sponsor terms, rate cards, or packaged collaboration formats.
Each post invites a direct message or comment, and one links to a self-published one-page resource on aligning IT planning with the EOS operating framework.
These are routes into a conversation about IT services, not published terms for a content partnership.
Brands considering a paid collaboration should ask directly about terms; the posts set none.
Good fit for a managed IT services company seeking a content collaboration on SMB technology strategy.
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Matthew Bagley's posts speak directly to small and midsize business technology decisions in buyers’ own language, rather than offering generic IT advice.
The EOS post is the strongest match: it maps an operating framework readers already use onto technology planning.
A technology roadmap becomes a prioritized, owner-tagged IT issues list; a strategic business review becomes a 90-day technology conversation; and a named IT Prosperity Process turns tech chaos into measurable momentum.
The post also names specific buyer pain through the visionary, integrator, and “accidental IT person” roles.
The ransomware post offers a budget hook, framing the average cyberattack cost to an SMB as $120,000 up to $1.2 million and listing recovery-planning essentials: offsite or offline backups, tested recovery playbooks, employee scam testing, and insurance-style preparation.
The AI governance post applies the same practical mindset to newer risks, including confidential data in chatbots, AI-generated content and copyright, data privacy, decision transparency, and discrimination in hiring or lending.
The posts also show a consistent direct-response habit: each ends by inviting a comment or direct message, and the EOS post links to a one-page explanation of aligning IT planning with EOS.
That gives a collaborator a natural call-to-action pattern.
The fit is strongest for co-created practical content that helps an SMB manage technology within its existing operating rhythm, not for a broad brand-awareness campaign.
Before promising a paid campaign, ask for audience composition, reach and engagement metrics, and commercial terms; the posts disclose no paid-partnership example.
When to choose a specialist
Poor fit for a global enterprise AI platform seeking CISO-level thought leadership on AI model governance, multi-jurisdiction regulatory compliance, and Fortune 500 financial-services implementation.
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The posts are SMB-facing and introductory.
The AI governance post raises questions a small business should answer, such as whether employees may put confidential data into a chatbot and how to use AI-generated content without infringing copyright.
It also sketches areas a framework should cover, including data privacy, decision transparency, and discrimination in hiring or lending.
It does not provide a template, checklist, jurisdiction-specific legal analysis, enterprise implementation detail, original research, or financial-services case studies.
The ransomware post is similarly aimed at small and midsize businesses and presents its cost range as a framing device rather than a sourced statistic.
The EOS post assumes readers already run EOS, which is not a safe assumption for a Fortune 500 enterprise audience.
Nothing in the posts shows a CISO, enterprise architecture, or regulated-industry audience, and audience metrics are unavailable to support that claim.
The posts also disclose no sponsorship program, rate card, or media kit.
A brand seeking measurable enterprise reach, compliance-grade proof points, or independent technical authority should reject this fit rather than stretch the SMB content to meet the brief.
If reconsidering, ask for audience metrics and primary evidence of enterprise expertise.
A worked campaign example
Worked campaign angle for the good-fit brief: a managed IT services company wants a content collaboration on SMB technology strategy.
Proposed angle: “The 90-day IT conversation,” a co-authored practical guide and template series translating the EOS operating rhythm into technology decisions an SMB can act on.
Module one is the IT issues list: turn the technology roadmap into a prioritized, owner-tagged list ready for the identify-discuss-solve step, using the EOS post as the source example.
Module two is the quarterly technology review: give readers questions about what is working, what is not, and which IT Rock to take on next quarter, again drawing on the EOS post.
Module three is the recovery playbook: cover offsite or offline backups, tested recovery, employee scam testing, and the insurance comparison, using the ransomware post for the cost framing and list of recovery elements.
Attribute any dollar range to Bagley's framing, not as an independently verified statistic.
An appendix can offer a starter AI-use policy covering confidential data in chatbots, AI-generated content and copyright, data privacy, decision transparency, and discrimination in hiring or lending, based on the AI governance post.
Format: a co-authored LinkedIn carousel or short downloadable guide, plus a live or recorded walkthrough.
End each asset with a comment or direct-message invitation, consistent with the existing posts.
Roles: Bagley supplies the EOS-to-IT translation and small-business framing; the managed IT services partner supplies implementation examples, service scope, and the call to action.
Before launch, verify audience composition, partnership terms, permission to use the Prosper IT name, whether Bagley will co-sign, and whether the partner can support the recovery and AI policy claims.
If those details are not confirmed, keep the collaboration to the content angle and do not promise distribution reach.
Consider Bartosz Jurga instead if the managed IT services company wants the collaboration to focus specifically on software supply-chain security and recovery for development teams.
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One post explains how a compromised package can reach CI/CD systems and expose deployment secrets, then points to controls such as version pinning, least-privilege access, credential rotation, and immutable backups.
Another frames ransomware payment as a board-level decision and discusses isolated backups and tested recovery.
These examples offer a more technical, DevOps-centered campaign than Matthew Bagley’s broader SMB technology-planning material.
The posts focus on software delivery security and ransomware, not on fitting technology decisions into an SMB’s operating rhythm.
Bagley is the closer fit for an EOS-to-IT planning collaboration; Jurga is the sharper choice for a security-and-recovery campaign.
Consider Sandra Roberts instead if the same managed IT services company wants the collaboration to emphasize how cybersecurity leaders explain risk and investment to senior leadership.
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A post on CISO priorities connects security spending to business goals, reputation, privacy, AI, workforce awareness, and compliance.
Another argues that boards and executive leaders should sustain quantum-readiness roadmaps across CISO turnover.
That material may suit an executive-facing cybersecurity campaign better than Bagley’s practical SMB technology-planning examples.
Roberts’s posts focus on CISOs, boards, and enterprise security priorities, rather than Bagley’s specific SMB and EOS-to-technology-planning angle. Choose Roberts for leadership-level cybersecurity messaging, not as a like-for-like substitute for an SMB operating-process collaboration.
Consider Michael Abtar instead if the collaboration needs a sector-specific cybersecurity overview for healthcare, pharmaceuticals, or financial services.
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The posts list risks and mitigations involving clinical-trial data, connected medical devices, financial-services cloud risk, account takeovers, and supply-chain attacks. Those examples offer more industry-specific subject matter than Bagley’s general SMB technology-planning posts.
Abtar’s posts offer broad lists of sector risks and suggested controls, rather than Bagley’s EOS-aligned planning framework or a comparable approach to SMB operating rhythms. Choose Abtar when industry threat coverage is central, and Bagley when the collaboration is about integrating technology decisions into SMB planning.
Matthew Bagley's posts here cover running IT planning on the EOS business framework, ransomware costs and backup and recovery planning for small and midsize businesses, and AI governance for smaller companies.
No publication dates are stated for those posts, and no other channels, articles, or transcripts are included here, so this profile reflects this small set of posts rather than a complete body of work.
Comparisons with similar creators use two LinkedIn posts each by Sandra Roberts, Bartosz Jurga, and Michael Abtar, dated between April 2024 and September 2026 where dates were available.
The LinkedIn account showed 1,237 followers on October 8, 2026.
Matthew Bagley's posts here do not state publication dates, audience composition, whether there is a media kit or rate sheet, or whether there is a disclosed paid partnership.
The posts here do not document a sponsorship offer; that absence is stated rather than presented as proof Matthew Bagley does not accept sponsorships.
The exact relationship between Matthew Bagley and Prosper IT is not stated in the posts here.
Every claim on this page comes from one of the three posts; nothing was inferred from titles, snippets, or account metadata beyond the follower count and observation date.