Zack Tembi teaches enterprise AI strategy and shares CIOsurge interviews and leadership stories about technology, cybersecurity, and digital transformation.
Zack Tembi is most useful for practical enterprise AI strategy teaching and interview-based technology leadership lessons.
Best for
Fits a B2B AI consulting firm or enterprise AI enablement platform building thought leadership around enterprise AI adoption.
Not for
This does not fit a security vendor direct-response product launch needing verified buyer segment and conversion benchmarks.
Key takeaways
Start AI strategy with neglected repetitive work, not another chatbot.
Involve data owner, operator, and financial beneficiary before testing whether value warrants investment.
Build a prototype for under $500 before pitching leadership.
Check first: Confirm terms in writing and ask for audience, engagement, and past sponsored results.
Main ideas
Start AI strategy with neglected work, not another chatbot · Make technology change credible at the level of daily work · Translate technical work into the outcomes leaders notice
Audience
14054 LinkedIn followers · 5 posts, 9 September to 2 October 2026 Dated posts in reviewed sample
Zack Tembi teaches enterprise AI strategy and shares CIOsurge interviews about technology leadership.
In a class outline, they argue that companies should look beyond chatbots to repetitive work that can be automated, then give students a way to assess a use case, estimate its value, and plan a low-cost prototype.
Their posts also highlight how technology changes succeed: learn how frontline work is done, start with small improvements, and show people the benefit.
Follow their work for practical AI-adoption ideas and concise lessons drawn from CIO and CISO interviews.
Tembi’s posts connect executive-level AI strategy to concrete operating choices.
Their WorkAI Lab outline turns project selection into a sequence: find overlooked repetitive tasks, involve the data owner, operator, and financial beneficiary, test whether the value warrants investment, and build a prototype for under $500 before pitching leadership.
Their CIOsurge summaries add a people-and-change perspective: one draws out a CISO’s lesson about making security work visible in business terms; another describes a CIO learning a distributor’s operations firsthand and building trust through small improvements.
A short Aegis AI Security post repeats a customer result without explaining how it was measured; ask how the result was measured.
The strongest reason to read Tembi is the combination of actionable AI-strategy teaching and interview-based leadership lessons.
Across these posts, Zack Tembi treats technology change as an operating problem, not a matter of buying tools or announcing a transformation.
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Their priorities are to find valuable work being overlooked, make the business case in terms leaders can judge, and earn adoption by working alongside the people affected. In the interview posts, they draw practical lessons from specific people’s experiences.
Start AI strategy with neglected work, not another chatbot
Tembi argues that buying chatbots and copilots can leave the business unchanged.
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They point instead to repetitive work that is not owned, measured, or prioritized, and outline how to test whether an AI use case is worth pursuing: identify the needed data and stakeholders, estimate the return, and build a cheap prototype before asking leadership to fund it.
In a post previewing a 90-minute WorkAI Lab class, Tembi describes finding “ghost tasks,” applying a “$100K filter,” involving the data owner, day-to-day operator, and financial beneficiary, then building a prototype for under $500.
The class ends with a one-page use case and a two-week prototype plan.
They also say they run 14 production agents at Single Fin that replace work otherwise requiring multiple full-time roles.
Make technology change credible at the level of daily work
Tembi’s transformation story favors learning the work firsthand and building trust through small, visible improvements.
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The account is a guest’s experience, not a claim that Tembi led the transformation. The lesson they highlight: adoption can begin by doing the job alongside employees and showing how a new process compares with the old one.
In a post about CIO and COO Steven Singer, Tembi recounts Singer riding along on deliveries, working the night shift, and spending months on a receiving dock.
Singer says he gained trust by working alongside people.
The post cites concrete early changes: a porter moved from paper to a tablet, and receiving staff got screens showing late trucks.
Translate technical work into the outcomes leaders notice
In a CIOsurge interview recap, Tembi highlights the gap between doing good work and making its value visible.
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The career advice comes from guest Roberta Anderson; Tembi applies it specifically to security leadership, where business impact may be more legible to decision-makers than technical activity alone.
Anderson, identified in the post as CISO of Onterris, says visibility took her longest to develop. Tembi’s takeaway: build sponsor relationships and describe security outcomes in terms such as budget, deliverables, and revenue, rather than leading with vulnerability and patch counts.
Frame AI as a set of executive choices, not just a technical rollout
Tembi’s class outline and event announcement both frame AI adoption as a matter of investment and organizational responsibility.
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Together, they point to a broader leadership question—what to build, how to fund it, and how to govern and scale it—alongside their hands-on focus on use cases and prototypes.
In announcing they would moderate Mind and Machine DFW’s AI Summit at Southern Methodist University, Tembi describes a conversation about how leaders will build, fund, govern, and scale AI. The post gives the event date as November 11, without a year.
The class preview focuses on testing an individual use case; the summit announcement broadens the lens to organization-level choices. The posts show complementary frames, not a documented change of position.
Start here for the shortest route into Zack Tembi's approach to enterprise AI.
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It is the densest statement of method among these posts: an outline of a 90-minute class that doubles as a checklist for choosing and funding an AI project.
The post previews a class session and lays out its argument in order.
Most companies, it claims, spend on AI the wrong way, buying chatbots and copilots that change nothing in the business.
The opportunity lies in repetitive background work that nobody owns, measures, or has time to fix.
The post names specific teaching points: "silent automation" over another chatbot; running 14 production agents that, it says, replace work that would otherwise require multiple full-time roles; finding "ghost tasks"; applying a "$100K filter" to reject small problems that kill AI projects; bringing three people into the room (the data owner, the day-to-day operator, and the financial beneficiary); building a prototype for under $500 and iterating before pitching leadership; and testing a 60-second funding pitch against the question of whether a CEO with a checkbook would sign.
Attendees leave with a one-page artifact containing a named use case, its data sources, three stakeholders, a rough ROI, and a two-week prototype plan.
For brands planning a campaign
This is the most directly reusable asset for a co-marketing series: the one-page artifact (use case, data owner, operator, financial beneficiary, ROI estimate, two-week sub-$500 plan) works as a downloadable worksheet, while the $100K filter and 60-second pitch make natural live-session exercises. A session built on this material needs no new framework development.
Read this for the interview format, not the topic.
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It shows how a conversation becomes a short, quotable lesson and is the clearest example of the CIOsurge series on the account.
The post summarizes an interview with Roberta Anderson, identified as CISO of Onterris, an author, and a 25-year veteran who moved from the United States Air Force to a CISO role.
Asked which part of her career framework took longest — confidence, visibility, influence, or belonging — Anderson answered visibility.
She describes the trap of assuming good work will be rewarded: "I always thought, I'm really doing a good job and this is going to move my career the way that I feel it should be moved.
And it wasn't."
The takeaway: good work does not broadcast itself, a manager may oversee twenty people, and the people watching may not be the ones who can advance a career.
Anderson recommends building sponsor relationships proactively and translating security outcomes into business language — budget, deliverables, revenue — before visibility is needed.
The post links the full CIOsurge interview and Anderson's book, Breaking the Firewall.
For brands planning a campaign
The pattern is portable: pose one question, quote the answer, draw out the lesson in the guest's own words, and link the full episode. For a co-marketing series, one question per episode keeps each clip and post self-contained; the security-to-business-impact framing suits both a cybersecurity vendor and a business-audience sponsor.
Read this for the adoption side of transformation.
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Where the AI strategy class post focuses on choosing a project, this one focuses on getting people to use it, with operational rather than motivational detail.
The post recounts that when podcast guest Steven Singer became CIO and COO of a food distribution company the post describes as 110-plus years old, the owners asked for digital transformation and the first move was to leave the office — riding along on deliveries, working the night shift, and spending months on the receiving dock learning how orders are actually picked.
Singer is quoted on the approach: "Working side by side, gaining trust by doing the job with them, alongside them, not above them."
Small wins came first: the porter who empties the trash moved from paper to a tablet, and the receiving team got screens showing which trucks were running late.
New rollouts are not pushed through forced training; instead the old way and the new way are placed side by side and the work is done with the person so the gain is visible.
For brands planning a campaign
This is the change-management half of a webinar pairing with the AI strategy session: one session on strategy selection, another on frontline trust and sequencing small wins. The night-shift and ride-along details can anchor a case-discussion segment without slides.
Read this for the public-facing events role: it shows where a brand could meet Zack Tembi in person and what kind of speaking work is on the calendar.
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The post announces that Zack Tembi is moderating the Mind and Machine DFW AI Summit at Southern Methodist University on November 11.
It frames the event as a forward-looking conversation about decisions leaders are making now that will shape how their organizations build, fund, govern, and scale AI.
Event details were placed in the comments rather than the post body.
A long mention list and Dallas tech hashtags show the surrounding network.
The event details are in the comments, so ask for the link before planning promotion.
For brands planning a campaign
A live or streamed session at a Dallas-area event is a realistic co-marketing placement, with Zack Tembi moderating rather than presenting. The moderation frame — build, fund, govern, scale — maps cleanly onto a panel a vendor could supply a speaker for.
Read this for the vendor-facing side of the account: it shows how a product customer result gets amplified, a useful format if a brand wants that treatment rather than an educational post.
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The post leads with an unattributed customer quote: "In three years with the company, this the first time I'm presenting to our board and we have zero P1 email tickets."
It credits Aegis AI Security with that impact and gives a shout-out to Nathan Hahn and the AegisAI team for putting the customer first.
It is a short proof-style post rather than an explanation, with no deployment detail or methodology.
Hashtags and a mention list fill out the rest.
For brands planning a campaign
This demonstrates a format for amplifying product results: one striking customer quote, a named team, and a short credit line. Use it alongside the educational work; for this treatment, ask for substantiation of the customer claim.
Zack Tembi teaches a 90-minute AI strategy session as Week 6 of WorkAI Lab at Roanoke College, and its outline is the clearest window into how Tembi thinks about adoption.
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Tembi's argument is that most companies buy chatbots and copilots and then wonder why nothing in the business changed, because the leverage sits in repetitive background work nobody owns, measures, or has time to fix.
The session covers finding the "ghost tasks" hiding in an organization, a $100K filter for choosing small problems worth a multi-million-dollar fix over ones that will kill a project, the data an AI use case actually needs and the three people who have to be in the room (data owner, day-to-day operator, financial beneficiary), a cheap prototype principle of building for under $500 before pitching leadership, and a 60-second pitch framed as "if I were your CEO with a checkbook, would I sign?"
Attendees leave with a one-page artifact: a named use case, data sources, three stakeholders, a back-of-envelope ROI, and a two-week prototype plan under $500.
Teaching format: one 90-minute session built around a single page of output attendees can put in front of a CEO.
For brands planning a campaign
This is close to a finished co-marketing asset. An AI consulting firm could sponsor or co-produce the session, adapt the one-page artifact into a co-branded planning template, or run a webinar followed by a small-group prototype clinic.
Tembi’s proof point is operational: they say they run 14 production agents at Single Fin that replace work otherwise requiring multiple full-time roles.
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They position this as “silent automation” that beats adding another chatbot, and argue that the boring background layer—the work nobody owns or measures—is where enterprise AI pays off. They also discuss the data those agents need and where it lives, a part of adoption that most content skips.
First-person operator account. Single Fin appears in Tembi’s post text and hashtags.
For brands planning a campaign
Agentic AI and automation vendors can use this as practitioner-side proof for a “production agents, not demos” content series, with Tembi narrating deployment constraints, data access, and measurement rather than product features.
Tembi publishes interview-based content with technology executives under CIOsurge.
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In one post, they interview Roberta Anderson, CISO of Onterris, asking which part of her career framework took longest—confidence, visibility, influence, or belonging.
She answers visibility.
The post argues that good work does not broadcast itself, a boss may be managing 20 people, and the people watching may not be the ones who can advance a career.
Anderson says her turning point was becoming proactive, finding a sponsor, and framing work in language that gets someone promoted.
For security leaders, that means leading with business impact—budget, deliverables, revenue—instead of vulnerabilities and patch counts, and building sponsor relationships before visibility is needed.
The post also points readers to her book.
Interview format: a guest’s career story told through one diagnostic question and a direct quote, followed by a takeaway for CISOs and CIOs.
For brands planning a campaign
Security and executive-leadership brands can sponsor or co-produce the interview series. Its senior-practitioner audience and recurring theme—translating technical outcomes into business language—make it a natural fit for a co-marketing webinar or sponsored episode.
Digital transformation starts where the work happens
Another interview post follows Steven Singer, described as CIO and COO of a food distribution company more than 110 years old, whose owners asked for digital transformation.
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His first move was to leave the office: riding along on deliveries, working the night shift, and spending months on the receiving dock to learn how orders actually get picked.
The stated logic was to gain trust by doing the job alongside people, not above them.
Small wins built momentum—a porter moving from paper to a tablet, receiving screens showing which trucks are running late.
New rollouts then came without forced training: Singer put the old and new ways side by side and did the work with each person so they could see the gain themselves.
Case-story format: a guest’s transformation told through concrete frontline scenes rather than rollout milestones.
For brands planning a campaign
Change-management, supply-chain, and field-operations vendors get a template for adoption content built on frontline scenes. It can support a co-marketing case-study series or a webinar pairing Tembi’s interview approach with a customer’s own floor-level story.
Tembi moderates Mind and Machine DFW’s AI Summit at Southern Methodist University on November 11.
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The event is framed as a forward-looking conversation about decisions leaders are making now that shape how their organizations build, fund, govern, and scale AI. Tembi promotes the Dallas-area tech community around the event and uses the same executive decision language as in their teaching work.
Event moderation and community promotion, with the build/fund/govern/scale framing carried across the announcement and hashtags.
For brands planning a campaign
Sponsoring or joining a moderated live event gives a brand a regional, DFW-anchored executive audience and a clear format for a co-hosted panel. The build/fund/govern/scale framing can anchor content before and after the event.
A separate post shares a customer quote for Aegis AI Security: a customer reports that, in three years with the company, it was their first board presentation with zero P1 email tickets.
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The post also thanks a named team member for putting the customer first. It presents a vendor proof story through an enterprise-facing channel, with security and customer-success framing.
Customer-story amplification. Aegis AI Security, Foundation Capital, and Battery Ventures appear as mentions and hashtags.
One customer quote in one post is thin evidence of a sustained vendor partnership. Ask for details on the relationship before treating it as one.
For brands planning a campaign
Email-security vendors with customer proof stories get a ready-made amplification format: the executive-facing “first clean board report” angle, delivered to an enterprise audience. Before relying on it as a campaign format, ask for more examples.
Zack Tembi’s work centers on enterprise AI adoption as an operating problem.
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The WorkAI Lab class preview offers a compact framework: find ghost tasks, apply a $100K filter, name the data owner, day-to-day operator, and financial beneficiary, then build a sub-$500 prototype before pitching leadership.
CIOsurge interview recaps show how they draw leadership lessons from guests—translating security work into business outcomes and starting transformation on the receiving dock rather than in a slide deck.
The AI summit announcement frames the same decisions as build, fund, govern, and scale.
The posts offer a mix of teaching outline, interview takeaways, event framing, and a security vendor customer story.
Both publish for cybersecurity and technology leaders.
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Meece’s posts promote a book on women in cybersecurity and a networking thread for cybersecurity job seekers; Tembi interviews CISOs and CIOs and recaps career lessons.
Meece focuses on community building, career entry, and diversity in cybersecurity; Tembi focuses on enterprise AI strategy, adoption frameworks, and executive decision-making.
Both convene senior technology leaders around AI and data value.
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Rice’s IntelliCon Dallas posts feature Microsoft and enterprise AI/data executives discussing investment, governance, and accountability; Tembi moderates an AI summit and interviews CIOs and CISOs.
Rice’s content centers on executive roundtables and data/AI leadership events; Tembi’s centers on AI strategy teaching, adoption frameworks, and interview recaps.
Both use interviews to share practitioner stories.
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Dreyer’s podcast episodes feature legal marketing and law firm growth experts; Tembi’s posts recap interviews with technology executives about AI and transformation.
Dreyer focuses on legal marketing and law firm growth; Tembi focuses on enterprise AI adoption and technology leadership.
Zack Tembi's audience information is limited to one LinkedIn account, with 14,054 followers recorded on 11 October 2026, and five full posts published between 9 September and 2 October 2026.
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That supports a reach decision—whether the account is large enough to justify a placement—but not whether its followers match a campaign targeting a named audience.
The posts focus on technology leadership: a 90-minute teaching session on building an enterprise AI strategy at Roanoke College; a CIOsurge interview with a CISO about career visibility; a CIO/COO's digital transformation at a 110-year-old food distributor; moderating an AI summit at Southern Methodist University; and a customer-success post for Aegis AI Security.
Recurring tags (#CIO, #CISO, #CIOsurge, #AIStrategy) and long lists of tagged technology leaders suggest the account attracts IT and security executives and the vendors who sell to them.
The posts do not publish age, gender or geography breakdowns, engagement figures (likes, comments, shares), click or view data, or video performance data.
Before committing to a campaign aimed at a specific buyer audience, ask for recent results from comparable topics and formats, including sponsored delivery, and any audience survey or first-party data covering job role, seniority, company size and country.
If neither is available, price the placement as reach to a general technology-following, not as a verified match to a specific buyer audience.
LinkedIn followers
14054
LinkedIn account for Zack Tembi · 2026-10-11
Dated posts in reviewed sample
5 posts, 9 September to 2 October 2026
LinkedIn posts by this account reviewed in full for this section · 2026-10-02
The posts do not show a published partnership program.
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They include no sponsor policy, rate card, disclosed sponsored placements, or partnership inquiry route, so brands cannot book a format directly.
They do show how Zack Tembi reaches an audience: teaching a 90-minute enterprise AI strategy session for WorkAI Lab at Roanoke College; preparing to moderate Mind and Machine DFW's AI Summit at Southern Methodist University on November 11; and conducting CIOsurge interviews with technology leaders, including CISO Roberta Anderson.
Recent posts also tag Single Fin and CIOsurge and promote an Aegis AI Security customer result; a tag or mention does not establish that a post was paid.
Buyers should request an official contact, partnership terms, media kit, rate structure, and usage rights before planning a co-marketing series or webinar.
Yes, for a teaching-and-interview series. Book Zack Tembi as a subject-matter expert and co-host, not as a paid reach placement.
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Brief
A B2B AI consulting firm or enterprise AI enablement platform wants to build thought leadership around enterprise AI adoption and is considering Zack Tembi for a co-marketing content series or webinar.
Reasons
Zack Tembi teaches a 90-minute AI strategy class as Week 6 of WorkAI Lab at Roanoke College and publishes the outline: why "silent automation" beats adding another chatbot, finding the "ghost tasks" nobody owns or measures, a $100K filter for rejecting small problems that kill AI projects, the three people who have to be in the room (data owner, day-to-day operator, financial beneficiary), a prototype built for under $500, and a 60-second pitch tested against whether a CEO with a checkbook would sign. Attendees leave with a one-page artifact covering a named use case, its data sources, three stakeholders, a rough ROI, and a two-week prototype plan. A co-marketing webinar could follow that spine with almost no new framework development, and the artifact could serve as a co-branded worksheet.
A consulting firm selling enterprise AI adoption gets practitioner-side proof rather than vendor claims. Zack Tembi says they run 14 production agents at Single Fin, described as replacing work that would otherwise need several full-time roles, and discusses the data those agents need and where it lives.
An interview series already has a repeatable format. The CIOsurge posts take one executive, ask one diagnostic question, quote the answer directly, and draw out the lesson. The Roberta Anderson post does this with career visibility; the Steven Singer post covers a digital transformation that started on the night shift and the receiving dock. The format ports directly to a sponsored series or podcast, with one question per episode and each clip self-contained.
Reach is plausible for an executive audience, though unverified. The LinkedIn account had 14,054 followers when observed on 11 October 2026, and the posts are tagged and written for CIO, CISO, and technology-leadership readers. Zack Tembi also moderates Mind and Machine DFW's AI Summit at Southern Methodist University on 11 November, offering a live placement option and access to a Dallas-area executive audience.
Conditions
No sponsorship program, rate card, or partnership contact is published. Ask directly for terms and confirm them in writing before building a plan around the partnership.
Follower count and post topics are the only audience evidence available. Before pricing a subscription campaign, ask for demographics, engagement figures, click and view data, and results from past sponsored campaigns; without them, price it as an expert-led content engagement, not verified reach to a specific buyer segment.
When to choose a specialist
No, the posts here do not say so.
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Brief
A security vendor wants a direct-response product launch: one sponsored placement designed to drive demo signups from a verified segment of enterprise security buyers, with conversion benchmarks and audience composition guaranteed up front.
Reasons
Before a direct-response buy, ask for engagement figures, click and view data, audience demographics, and first-party data on role, seniority, company size, and country. The audience description is inferred from topics and hashtags, so it cannot guarantee a segment match.
The content focuses on decisions, not product demonstration. The posts teach a framework, interview executives, and recap a transformation case; none walks through a product, deployment, or technical workflow. A launch campaign would need demonstration content beyond what these posts show.
The one vendor-facing post offers little evidence of a working commercial format. It leads with an unattributed customer quote about zero P1 email tickets at the board and credits Aegis AI Security and a named team member, but gives no deployment detail or methodology and does not state Zack Tembi's relationship to the product. Ask whether the post was paid or affiliated; a hashtag or mention alone does not establish either.
No sponsor policy, rate card, or inquiry route is published. Ask directly how to book and what formats and terms are available.
The live and community work reviewed is anchored to Dallas and North Texas, including the SMU AI summit and the Roanoke College teaching session. Ask for examples of national, multi-market events before promising that reach.
Alternative
For a security-audience launch, use Zack Tembi for the executive-facing narrative layer, such as moderating a panel on translating security outcomes into business terms, and place the demonstration and conversion assets elsewhere.
A worked campaign example
Audience goal
Reach senior technology and business leaders asked to fund AI work. The series sells a selection method and prototype discipline rather than a platform.
Campaign angle
The Ghost Task Audit: a three-part co-marketing series plus a working webinar, built on the enterprise AI strategy session and interview format.
How to judge it
Judge the series on qualified registrations and completed artifacts, not follower count, and compare it with a webinar run by a competing consulting firm pursuing the same thought-leadership goal. This example addresses the thought-leadership goal, which the posts support most strongly.
Optional live layer
A moderated panel at a Dallas-area executive event, using the build, fund, govern, scale framing Zack Tembi already uses for the Mind and Machine DFW AI Summit at SMU. The sponsor supplies a speaker; Zack moderates.
Parts
Detail
Use one diagnostic question in the style of the CIOsurge interviews: which AI project did you stop, and what told you to stop it? Keep the answer in the guest's own words and draw out the lesson at the end, as the Roberta Anderson post turns a visibility story into a takeaway for security leaders.
Format
A recorded 20-25 minute conversation, released as video and repurposed into short clips and one written post.
Name
Part 1: The kill question
Detail
Walk through finding ghost tasks, the $100K filter, the three people who must be in the room, the under-$500 prototype, and the 60-second pitch. Attendees fill in the one-page artifact live: named use case, data sources, data owner plus operator plus financial beneficiary, back-of-envelope ROI, and a two-week prototype plan under $500. The co-branded artifact remains usable after the session.
Format
A co-hosted webinar modeled on the Roanoke College class.
Name
Part 2: The 90-minute working session
Detail
Publish what the prototype cost, what it changed, and the sponsor's role. That turns a teaching exercise into evidence for trusting the method.
Format
A follow-up conversation with one participant who ran a prototype, plus a written recap.
Name
Part 3: The after-action
Terms to settle first
A written point of contact, fee structure, and usage rights for clips, the co-branded artifact, and reruns.
Who promotes the series, through which channels, and whether the sponsor may gate the artifact.
Ask which audience data and past sponsored-campaign results the sponsor will receive.
Choose Salema Rice for a campaign aimed at CFOs when the sponsor wants a premium executive convening or roundtable in Dallas and can supply the teaching structure.
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Rice’s posts show them running IntelliCon Dallas at Microsoft’s Innovation Hub with senior data and AI leaders, naming featured speakers from Microsoft, a large U.S. retailer, SMBC Group, JPMorganChase, Marsh Risk, Thrivent, and Charter Communications, and framing the day around which AI investments matter, scaling agentic AI without weakening trust, and moving from ambition to value. For a B2B AI consulting firm seeking a room of enterprise decision-makers and a moderator who can lead a leadership-level conversation about AI, data, and accountability, this is a stronger event position than Zack Tembi’s solo teaching class.
Salema Rice’s reviewed work promotes events and offers reflective commentary on AI leadership, people, and governance.
It does not include a published 90-minute AI strategy syllabus, a ghost-task audit, a $100K filter, a one-page campaign artifact, or a repeatable interview series.
A sponsor would need to build the practical worksheet and teaching content that Zack Tembi’s reviewed class already supplies.
Rice anchors the reviewed event in Dallas, so sponsors promising national, multi-market programming should ask about reach beyond that market.
Choose David Meece for a campaign aimed at cybersecurity workforce access, DEI, or community goodwill.
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Meece’s posts show them co-introducing Stronger Together: Women in Cybersecurity, a curated book with over 100 women contributors whose proceeds are donated to Women in CyberSecurity scholarships, and opening a network to cybersecurity job seekers with a three-step LinkedIn networking routine. For a B2B AI consulting firm whose buyer is a security nonprofit, a cybersecurity workforce program, or an employer building a pipeline rather than selling AI adoption, Meece is the more direct community partner.
David Meece’s reviewed material focuses on community access and workforce goodwill, not enterprise AI adoption.
It contains no enterprise AI strategy framework, agent deployment detail, AI governance or ROI teaching, or podcast interview format aimed at technology leaders.
A sponsor would still need a separate subject-matter expert to deliver the enterprise AI content.
Choose Chris Dreyer for a campaign aimed at law firm owners or professional-services marketers seeking a proven interview-and-podcast production engine, not access to enterprise technology leaders.
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Dreyer’s Personal Injury Mastermind episodes show them interviewing legal-market operators, turning a $934 million verdict into a media and authority-building case study, and breaking down Morgan & Morgan’s referral operation from a legal pad system to a $63 million revenue engine with conversion, budget, and marketing-attribution detail. A B2B AI consulting firm seeking a repeatable episode format, strong guest sourcing, and distribution in the legal vertical could draw on that production experience rather than Zack Tembi’s enterprise AI teaching session.
Chris Dreyer’s episodes focus on legal marketing and personal-injury law, not enterprise AI adoption.
They offer no AI strategy framework, agentic governance or ROI material, or executive education artifact.
For a campaign aimed at enterprise AI adoption, a sponsor would be importing a podcast format and a legal audience, then supplying the AI substance separately; Zack Tembi’s posts already contain the AI strategy spine and one-page prototype artifact.
Five full LinkedIn posts from Zack Tembi's account were observed on 11 October 2026: a WorkAI Lab class preview on building an AI strategy at Roanoke College, two CIOsurge interview write-ups (a CISO career conversation and a food-distribution transformation story), an announcement about moderating the Mind and Machine DFW AI Summit at Southern Methodist University, and a post sharing an Aegis AI Security customer result.
The posts summarize linked CIOsurge interviews, podcast episodes, and outer sources such as sponsor pages, but do not provide their full text; guest statements and book or episode details therefore rest on the post summaries alone.
The posts do not state engagement figures, click or view data, audience demographics, sponsor terms, or a partnership contact route.
They date from early September to early October 2026; the AI summit post gives the date 11 November without a year.
The posts do not establish a complete career history or signature work beyond what they describe, and the Aegis AI Security post does not state Tembi's relationship with that company.