Cory Bruscia writes about how sales teams can build repeatable systems and use AI to improve business results.
In four LinkedIn posts from 2026, they argue that hiring more salespeople cannot compensate for missing processes, and that AI adoption matters less than whether it improves outcomes such as qualified pipeline, conversion, selling time, and forecast accuracy.
Follow their work for practical questions about diagnosing sales operations and deciding what sellers should do as technology takes on more tasks.
Bruscia connects sales advice to the systems behind results.
Rather than treating weak performance as simply a hiring problem, they identify foundations that may be missing—such as a clear customer profile, consistent messaging, qualification, CRM discipline, coaching, and forecasting—and explain how those gaps can lead to unpredictable pipeline and slow ramp times.
Their AI posts apply the same logic: tools can amplify a weak process, so leaders should measure business impact and decide how the sales role should change.
One post shifts from analysis to a specific offer: a complimentary Sales Audit Assessment.
Cory Bruscia’s posts return to one central point: better sales results come from a stronger system, not simply more hires or more technology.
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They argue that leaders should build repeatable sales foundations, judge AI by measurable outcomes, and redesign sales roles around the work people and tools do best.
Build the sales system before adding salespeople
Bruscia argues that hiring into an underbuilt sales organization can make its problems more expensive.
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A clear process, target customer, messaging, prospecting and qualification methods, CRM practices, metrics, forecasting, onboarding, and coaching give sellers a structure to work within. The goal is repeatability, not tighter control for its own sake.
Bruscia asks founders to imagine hiring two salespeople tomorrow: would they join a repeatable system or have to figure everything out themselves?
Bruscia treats adoption as a weak measure of AI’s value.
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Buying and rolling out technology, as with CRM, does not automatically improve results. AI can amplify a weak sales system as readily as a strong one, so leaders should track business outcomes, not usage alone.
Bruscia names outcomes such as more qualified pipeline, higher conversion, shorter sales cycles, better forecast accuracy, and more revenue. They warn that AI can help a team prospect faster to the wrong companies if its ideal customer profile is unclear.
Bruscia argues against layering AI onto an unchanged sales job.
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Leaders should decide which tasks technology can handle and use the freed-up time for work that depends on human judgment and interaction. This is a sales-leadership decision, not just a software rollout.
Bruscia lists account research, meeting summaries, follow-ups, and CRM updates as work AI can handle, while reserving customer conversations, diagnosing problems, building trust, and navigating buying groups for sellers.
Make sales problems visible before they carry into the next quarter
Bruscia’s Q4 post turns the focus on sales foundations into a practical diagnostic offer.
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It urges leaders to identify weak pipeline, inconsistent prospecting, unclear processes, forecasting gaps, and coaching needs rather than rely on a generic push to finish the year strong. The post describes an assessment and report; ask for a sample report and its results.
The Sales Audit Assessment is described as reviewing strategy and goals, process and CRM, pipeline and forecasting, team management, lead follow-up, and sales-marketing alignment.
This is the clearest statement of Cory Bruscia’s central argument and the best starting point if you read only one post.
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It answers the question “what does this person actually stand for?” before you look at anything about AI or tools.
The post argues that adding salespeople to a company without sales structure makes the underlying problem more expensive, not less.
Bruscia lists what’s typically missing: a defined sales process, a documented ICP, consistent messaging, a prospecting strategy, a qualification method, CRM discipline, meaningful KPIs, a forecasting process, onboarding, and coaching.
Without those elements, every salesperson invents their own approach, resulting in unpredictable pipeline, stalled deals, unreliable forecasts, and slow ramp times.
Structure, the post concludes, doesn’t constrain good sellers; it gives them a chance to succeed and gives the company repeatability.
It closes by asking whether two new hires would enter a repeatable system or have to figure it out themselves.
For brands planning a campaign
A strong anchor for a thought-leadership profile: it frames the creator’s position on sales foundations in a way a consulting or sales-enablement brand can build on, with a natural hook for content about diagnosing sales infrastructure before scaling headcount.
It answers “how does this person judge whether AI in sales is working?” and is the most concrete of the AI posts, naming the specific metrics Bruscia thinks matter.
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The post argues that in 2026, nearly everyone uses some AI, so “are we using AI?” is no longer the useful question.
Bruscia compares AI adoption to how companies handled CRM: buy it, roll it out, measure adoption, then assume value will follow.
AI amplifies the surrounding system: unclear ICPs lead to faster prospecting to the wrong companies, weak messaging produces more weak messaging, and poor qualification creates more bad opportunities.
The recommended shift is from measuring usage to measuring impact, using a specific list: more conversations, more qualified pipeline, higher conversion, shorter sales cycles, more selling time, better forecast accuracy, and more revenue.
The post ends by asking which metric a sales leader uses to judge whether their AI investment is working.
For brands planning a campaign
A strong reference for brands that want to champion measurable AI outcomes over AI enthusiasm. It also offers a measurement framework a vendor could use in sponsored content or a webinar.
It answers “what does this person think should change about the sales job itself?” and pairs well with the AI-tool post: one is about measuring AI, the other about redesigning the role around it.
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Bruscia argues that the wrong question is how to get salespeople to use more AI; the right one is what they should spend their time on now that AI can handle more of the work.
The post describes the common failure of layering AI tools onto an unchanged job: the same responsibilities, admin, meetings, and KPIs, plus another tool to learn.
It lists work AI can absorb, including account research, meeting summaries, follow-ups, call plans, opportunity analysis, CRM updates, buying signals, and next-action recommendations.
Sellers should focus on customer conversations, better questions, diagnosing business problems, challenging assumptions, building trust, navigating buying groups, deal strategy, negotiation, value creation, and helping customers decide.
The post frames this as a leadership decision about which side does what, not a licensing decision.
For brands planning a campaign
Supports positioning on sales-role redesign and enablement, with a defensible angle on what sellers should stop doing—a less crowded message than generic AI adoption advice.
It answers “what does this person offer to a buyer right now?” and shows the commercial side of the writing, useful when assessing campaign fit as well as ideas.
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This post is a direct offer rather than an argument.
It opens at year-end, warns that unresolved problems carry into the next quarter, and names recurring weak points: weak pipeline, inconsistent prospecting, poor qualification, unclear process, forecasting gaps, weak accountability, thin coaching, and misaligned KPIs.
Bruscia then offers founders, CEOs, and sales leaders a complimentary Sales Audit Assessment: a short questionnaire that produces a written Sales Audit Report covering strategy and goal alignment, process and CRM structure, pipeline and forecast health, team management through KPIs and coaching, lead follow-up and marketing alignment, and the highest-priority areas to strengthen.
The report is sent by email, with an optional walkthrough.
For brands planning a campaign
The clearest evidence of a documented commercial offer: the audit is positioned as free, not sponsored. A brand exploring a partnership should understand the offer and how it’s framed before assuming sponsored formats.
A diagnostic, checklist-driven format for founder and sales-leader audiences4
Sales foundations come before sales headcount1
A structured sales audit as a lead-generation offer1
AI in sales should be judged by business results1
Redesign the sales role around what AI can take over1
Sales foundations come before sales headcount
Cory Bruscia argues that hiring more salespeople rarely fixes a weak sales system and can make the problem more expensive.
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The post lists missing foundation pieces: a defined sales process, documented ICP, consistent messaging, prospecting strategy, qualification methodology, CRM discipline, meaningful KPIs, forecasting process, onboarding plan, and coaching or accountability.
The stated consequences are inconsistent selling, unpredictable pipeline, stalled deals, unreliable forecasts, and slow ramp time.
The post uses a house-foundation analogy, a diagnostic checklist, and a closing question about whether two new hires would enter a repeatable system.
A house-foundation analogy, a checklist of missing sales infrastructure, and a closing diagnostic question.
For brands planning a campaign
A brand selling sales enablement, CRM, onboarding, or consulting can use this topic for founder-facing content and qualification. The strongest angle is a diagnostic resource or audit that checks each foundation element before a headcount increase, rather than a generic recruiting pitch.
A structured sales audit as a lead-generation offer
In the Q4 post, Cory Bruscia offers founders, CEOs, and sales leaders a complimentary Sales Audit Assessment.
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The promised report identifies how well sales strategy and revenue goals are defined and reviewed; whether process, CRM, and sales stages give the team structure; pipeline health, forecasting accuracy, and opportunity management; how effectively the team is managed through KPIs, coaching, and compensation; gaps in lead follow-up, sales-marketing alignment, and account growth; and priority areas to strengthen for the next year. The report is delivered by email within a day and can be walked through with the requester.
Complimentary assessment followed by a categorized email report and optional walkthrough.
The post describes the offer and report categories but does not show a completed report, client outcome, or conversion data.
For brands planning a campaign
A B2B sales consulting firm can adapt this as a lead magnet or campaign call to action for a thought-leadership profile. The offer turns sales gaps into a next-step conversation and gives the brand a concrete resource to attach to posts about sales foundations and forecasting.
Cory Bruscia argues that the relevant AI question is no longer whether teams use AI, but what it changes.
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The post asks whether AI creates more pipeline, gives salespeople more customer time, improves qualification, speeds follow-up, moves deals through the pipeline, improves forecasting and conversion, shortens sales cycles, and generates more revenue.
They compare the current wave to CRM adoption: companies buy technology, roll it out, measure adoption, then assume value.
The stated risk is that AI amplifies whatever system surrounds it, so an unclear ICP, weak messaging, poor qualification, or weak selling skill will also scale.
The method is a list of outcome metrics followed by a contrast between AI usage and AI impact.
An outcome-metric checklist and an explicit contrast between adoption and measurable impact.
The post names metrics but does not include benchmarks, client data, or a specific measurement model.
For brands planning a campaign
A brand selling sales analytics, AI tools, or revenue operations can use this topic for ROI-focused content. It supports campaigns that ask buyers to define measurable sales outcomes before expanding tool spend, rather than promoting license adoption as the goal.
Redesign the sales role around what AI can take over
Cory Bruscia extends the AI argument to role design.
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Instead of adding AI to the existing sales job, leaders should decide what work to stop requiring from salespeople because AI can research accounts, summarize meetings, draft follow-ups, prepare call plans, analyze opportunities, update CRM records, surface buying signals, and recommend next actions.
Salespeople should then spend more time on conversations, better questions, diagnosing business problems, challenging assumptions, building trust, navigating buying groups, developing deal strategy, negotiating, creating value, and helping customers decide.
The post uses a two-part task split and a leadership question about what sellers would do with freed-up time.
A two-column task split between AI-handled work and human sales work, followed by a leadership prompt.
For brands planning a campaign
A brand offering sales training, enablement, or change management can use this as a campaign theme about role redesign rather than tool adoption. It offers a practical frame for workshops: leaders define what AI handles, what sellers handle, and what outcome the combination should produce.
A diagnostic, checklist-driven format for founder and sales-leader audiences
Across the four posts, Cory Bruscia uses a repeated structure: a contrarian or reframing opening claim, a list of failure points or process gaps, a contrast between surface activity and underlying system, and a closing question aimed at founders or sales leaders.
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The posts are text-first LinkedIn essays with short lines and bulleted or arrowed lists. The approach is diagnostic rather than case-study-based.
A repeated structure: reframing opening, gap checklist, system contrast, and audience-specific closing question.
Ask for case studies, client outcomes, or a dated sequence if the campaign depends on evidence of change over time.
For brands planning a campaign
For thought-leadership campaigns, Cory Bruscia can produce founder-facing diagnostic content and discussion prompts that invite replies from sales leaders. A brand should pair this format with its own proof assets if the campaign needs quantified outcomes or named customer evidence.
No brand, sponsor, client, or employer relationship is documented in the material reviewed for this section.
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Cory Bruscia writes about sales-team foundations, AI's effect on selling, and quarter-end pipeline gaps without naming the companies, clients, or software products involved.
They offer a complimentary Sales Audit Assessment with a written report, but don’t name the business behind it.
Ask who provides the assessment and what relationship they have to it.
Cory Bruscia writes for founders and sales leaders who suspect their sales problem is structural rather than a matter of effort.
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The clearest entry point is the argument that a repeatable sales system—defined target customer, documented process, consistent messaging, prospecting and qualification methods, CRM discipline, meaningful KPIs, forecasting, onboarding, and coaching—matters more than adding headcount, because new hires otherwise have to invent the system themselves.
From there, read the two AI posts as a pair: one asks what AI actually changes in sales results rather than who has adopted it; the other asks what sellers should stop doing once AI handles research, meeting summaries, follow-ups, call plans, and CRM updates.
The Q4 sales-audit post shows the same thinking turned into a working diagnostic.
In that order, the pattern is easy to follow: name the gap, replace activity with structure, then measure outcomes instead of adoption.
Brontén makes the same systems-before-tools argument as Bruscia.
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Both treat technology as an amplifier of the sales process around it and write for sales leaders rather than sellers.
Both use the CRM rollout as a cautionary precedent for the current AI wave: Brontén notes that most CRM systems fail because they were built to track salespeople rather than improve them, and asks whether a system guides behavior in the moment or only records it afterward.
Brontén's newsletter post on workflows asks the same diagnostic question Bruscia asks about headcount: whether salespeople have a clear first action when they log in.
Brontén focuses on workflow design within the technology stack and the mechanics of CRM and AI adoption, while Bruscia focuses on foundations, role redesign, and a founder-facing audit offer. Brontén also writes as a newsletter author unpacking a recurring series; Bruscia's posts are standalone diagnostic essays and an assessment offer.
Redfern combines sales-leadership essays with a fractional consulting offer, as Bruscia does with a complimentary sales audit.
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Redfern's Omni Enablement post lists fractional revenue enablement leadership, sales leadership and coaching, BDR/SDR strategy, manager development, methodology rollouts, onboarding and ramp programs, and QBR design—the same territory as Bruscia's foundation checklist of process, onboarding, coaching, KPIs, and pipeline quality. Redfern's post on executive buyers also echoes Bruscia's diagnostic instinct, asking whether sales conversations are designed around how the team likes to sell or how customers prefer to buy.
Redfern writes from the enablement practitioner's service catalogue and the buyer-conversation angle, arguing that sellers should not walk a buyer through their own process. Bruscia writes about a founder's choice between systems and headcount, and about what AI should remove from the sales role.
Simonds uses the same move as Bruscia: take a common search question and reframe it.
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Where owners ask how much a fractional CFO costs, Simonds argues the better question is who will improve the financial decisions that determine the business's future value; Bruscia does the equivalent with hiring, asking whether two new salespeople would enter a repeatable system.
Both write about fractional executive leadership and argue that adding people or hours is not the fix.
Both close with a question that invites the reader to name their own gap.
Simonds works in finance and company design—cash flow, margins, forecasting, decision rights, and what building to sell actually means—rather than sales process, sales management, or AI in selling. The overlap is in the fractional-leadership framing and the reframing format, not the subject matter.
LinkedIn is the only channel with audience information for Cory Bruscia: about 5,100 followers on the profile as of 7 October 2026, and four posts published between 11 September and 1 October 2026.
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That supports a LinkedIn-first placement: the audience and writing both sit there.
The posts name founders, CEOs, and sales leaders directly and assume readers own decisions about sales process, hiring, qualification, and forecasting—a good match for campaigns aimed at sales leadership.
The four posts share a long-form format and a steady cadence of roughly one post every five to seven days across the window, useful for planning a posting rhythm but not for predicting reach.
None is a sponsored placement, so they offer no evidence of how the audience responds to paid brand content.
Before committing, ask for recent results on a comparable topic and format—a sales-foundation post or an AI-ROI post—and platform analytics or an audience survey breaking followers down by role and seniority, age, geography, and company size.
A LinkedIn follower count mixes peers, prospects, recruiters, and former colleagues, so it does not show how many followers are qualified buyers for a given offer.
The four LinkedIn posts show no sponsorship, brand-partnership, or creator-collaboration formats.
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The only promotional offer is a complimentary Sales Audit Assessment for founders, CEOs, and sales leaders, delivered as a report within a day, with a QR code for the assessment—a sales-consulting lead offer, not a disclosed creator partnership format. Ask Bruscia for partnership terms and a verification route; the posts include no official partnership page, sponsorship policy, rate card, or other verification route.
Good fit: a B2B sales consulting firm wants a thought-leadership profile that positions the firm around sales foundation before headcount and measurable AI impact, aimed at founders, CEOs, and sales leaders, with a lead-generation offer such as a diagnostic audit.
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Cory Bruscia's posts are written directly for that audience and return to those two arguments.
The strongest point is the sales-foundation post: it lists missing process, ICP, messaging, prospecting, qualification, CRM, KPIs, forecasting, onboarding, and coaching, and argues structure gives good sellers a chance to succeed and the company repeatability.
That is a usable point of view for a consulting brand, not generic commentary.
The AI posts add a second pillar: measure AI by impact — more qualified pipeline, more selling time, better qualification, faster follow-up, better forecast accuracy, shorter cycles, more revenue — rather than adoption, and redesign the sales role around what AI can absorb.
The format fits a LinkedIn-first thought-leadership campaign: text essays, short lines, arrowed lists, diagnostic questions to founders and sales leaders.
The Q4 post shows a lead-generation motion already: a complimentary Sales Audit Assessment that produces a categorized report and optional walkthrough.
This is not a disclosed sponsorship format, so the firm would need to agree separately with Bruscia on an expert-voice or paid-contributor arrangement rather than assume a public rate card.
Reach information is limited to about 5,100 LinkedIn followers on 7 October 2026 and four posts dated 11 September–1 October 2026, so fit should be judged on message alignment first, then checked against recent performance and audience composition.
Before committing, request recent results on a comparable sales-foundation or AI-ROI post, platform analytics by role and seniority, and any client outcomes or case studies.
When to choose a specialist
Poor fit as stated: an AI sales-tool vendor wants a sponsored LinkedIn series leading with the claim that more AI adoption makes salespeople better, with demo or free-trial signup as the primary call to action.
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Bruscia's posts push against that claim.
In the AI-tool post, they say the team does not need another AI tool and that using AI is not the objective; business results are.
They compare AI adoption to CRM adoption — buy, roll out, measure adoption, assume value — and argue AI amplifies the surrounding system, so unclear ICP, weak messaging, poor qualification, or weak selling skill get scaled rather than fixed.
In the role-redesign post, they say leaders should not pile AI onto the existing job; they should decide what salespeople stop doing and what humans keep doing.
A vendor can still use Bruscia for content about measuring AI impact or redesigning roles, but not for a campaign whose core promise is that tool adoption equals better selling.
The posts do not disclose sponsored formats or vendor collaborations; ask whether Bruscia is available for a paid partnership and how they would handle a product-claim campaign.
A worked campaign example
Worked campaign angle for a sales consulting firm's thought-leadership campaign: 'Audit the system before you add to it.' Use a three-part LinkedIn series.
Post 1, 'Before you hire another seller, check the foundation they inherit.' Lead with Bruscia's checklist: defined sales process, documented ICP, consistent messaging, prospecting strategy, qualification method, CRM discipline, KPIs, forecasting, onboarding, coaching.
The brand supplies a downloadable diagnostic that scores those ten areas.
Post 2, 'Adoption is not impact.' Use the AI-impact metrics from the post: more qualified pipeline, more selling time, better qualification, faster follow-up, faster deal movement, better forecast accuracy, higher conversion, shorter cycles, more revenue.
Ask sales leaders to name the one metric they expect to change before they buy another tool.
The brand hosts a benchmark or worksheet.
Post 3, 'What should sellers stop doing?' Run the two-column exercise: AI handles account research, meeting summaries, follow-ups, call plans, opportunity analysis, CRM updates, buying signals, next-action recommendations; sellers own customer conversations, better questions, problem diagnosis, challenging assumptions, trust, buying-group navigation, deal strategy, negotiation, value creation, and helping customers decide.
Close with the posts' style: a direct question to founders and sales leaders, such as what they would want sellers doing if AI took 30% of the workload.
The call to action should be the firm's own sales audit or workshop, not Bruscia's existing complimentary assessment, unless the firm and creator agree otherwise.
Measure success by qualified audit requests, workshop attendance, and sales-leader replies, not follower count.
Keep the writing in Bruscia's text-first format: short lines, arrowed lists, diagnostic frames, and one closing question per post.
Before launch, collect quantified outcomes or named client proof if the campaign requires them.
Choose Brontén when the campaign focuses on sales technology and daily workflow design rather than hiring or sales-team foundations.
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Brontén argues that most CRM systems fail not because of poor adoption but because they were built to track salespeople instead of making them better, and that AI repeats the same mistake when bolted on as another tool.
The proposed test is concrete and reusable: does the system guide behavior in the moment, or only record it afterward?
The workflow post offers a second frame, calling workflows the most overlooked lever for sales growth and promising six workflows every sales organization needs.
It also asks what a salesperson will actually work on first tomorrow morning.
A consulting firm offering CRM or tech-stack diagnosis, workflow design, or AI embedded in a defined process gets a sharper fit here than with Bruscia’s foundation-before-headcount argument.
The offer is a newsletter subscription, not a diagnostic deliverable.
Neither post matches Bruscia’s complimentary Sales Audit Assessment, which produces a categorized report and offers an optional walkthrough.
A lead-generation campaign built around a completed assessment would need a different offer.
Brontén focuses on tools and workflows; a campaign about sales hiring foundations or measuring AI by revenue outcomes would need substantial rewriting.
The posts are dated 24 March and 9 June 2026.
Ask Brontén for newer material if the campaign needs their latest framing.
Choose Redfern when a campaign needs a fractional enablement practitioner with a named service catalog and published outcome claims.
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The launch post names Omni Enablement and lists fractional revenue enablement leadership, sales leadership and coaching, BDR and SDR strategy and roadmaps, manager development programs, methodology rollouts (MEDDPICC, Challenger, Value Selling), onboarding and ramp programs, QBR design and execution, and AI-powered enablement and coaching systems.
It pairs those with stated results, including a 23% uplift across a 500-plus person global sales and customer success organization and a 43% improvement in sales capability across more than 350 commercial professionals.
The second post offers a clean argument for a sales-methodology campaign: executive buyers do not think salespeople are a waste of time; they think most sales conversations are.
Buyers arrive already researched and follow their own buying cycle, not the seller’s sales cycle.
The first post reads as a service announcement rather than a point of view a consulting brand can adopt as its own, limiting its value as thought leadership.
The author states outcome figures without client names or verification.
Ask for public support before using them in a proof-led campaign.
For a campaign built around something readers complete, such as an audit, benchmark, or scored worksheet, Bruscia’s Sales Audit Assessment is the closer match.
Redfern’s posts also lean on methodology and enablement-program language, so a firm selling a diagnostic rather than a program would need to reframe them.
Choose Simonds when the campaign targets an owner or founder weighing financial and operating readiness rather than sales execution.
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Simonds writes to business owners about unpredictable cash flow, thinning margins, unreliable forecasts, and major financial decisions still running through the owner.
They argue that the right fractional CFO changes the decisions the numbers drive, not just produces the numbers.
The second post reframes built-to-sell: it is not a cleaner deck or a sharper story for buyers, but a company that does not rely on proximity, heroics, or constant explanation.
It calls for structural and repeatable margins, a real operating rhythm, clarified decision rights, and knowledge moved out of people’s heads and into the business.
A firm selling financial leadership, operating design, or exit readiness to owner-led businesses is a closer match, and the essay format suits the same thought-leadership campaign structure.
The subject is finance and company operating design, not sales process, sales hiring, or AI in selling.
Simonds would shift the campaign’s subject and audience from sales leaders to owners and finance decision-makers, making it a different campaign rather than an alternative treatment of this one.
The posts have no overlap with the sales-foundation checklist or the adoption-versus-impact AI argument, so a firm offering a sales audit or workshop would lose its connection to the content.
This profile is based on four full LinkedIn posts by Cory Bruscia from 2026: a sales-foundation essay arguing that hiring more sellers cannot fix a missing system, a Q4 post offering a complimentary Sales Audit Assessment with a written report, a post arguing that AI use should be measured by sales outcomes instead of adoption, and a post proposing that leaders redesign the seller role around what AI can handle.
These four posts are the entire basis for this page.
No earlier posts, published client work, case studies, or audience data were available, and nothing in the posts identifies a book, show, or other body of work, so the page describes these recent posts rather than a complete career.
For the similar-creator comparisons, full LinkedIn posts by George Brontén (March and June 2026), Kate Redfern (June 2026), and Jill Simonds (February and August 2026) were read; each is named on the page with the specific difference from Bruscia.
LinkedIn showed roughly 5,100 followers on 7 October 2026.
