Alison McQuillan shares practical case studies on improving CRM data, governance, and lead-to-cash operations, including how to prepare business processes for AI.
Alison McQuillan shares case studies on CRM data, governance and lead-to-cash operations.
The posts show how flawed handoffs and unclear process ownership can derail technology projects—and why getting the underlying process right matters before adding automation or AI.
Follow them for concrete examples of how CRM decisions ripple across Sales, Marketing, Delivery and Finance.
McQuillan looks beyond the software to trace how process decisions affect an entire business.
In a CRM-consolidation example, they connect an incomplete view of the process to problems for Marketing, Delivery and Accounting.
And in a case for account governance, they explain how an added approval step can support faster work across the wider lead-to-cash process.
These stories make their work useful to readers weighing CRM changes, data governance or AI projects: they foreground dependencies and handoffs a software-first plan can miss.
Alison McQuillan’s case studies make a consistent point: business technology works only when the processes and data beneath it are sound.
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Across CRM, contracting and lead-to-cash examples, they show how governance and clear hand-offs can prevent costly failures—and why automating a broken process, including with AI, can make it worse.
Fix the process before automating it
In a contracting case, sellers entered inaccurate CRM data because they could correct it later while preparing contracts by hand.
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McQuillan argues that connecting e-signature software directly to the CRM would have accelerated the bad habit, not solved it.
The team first introduced a human hand-off and an Operations check, then automated the process.
They report that turnaround fell by days and that the project produced a little over $2 million in additional annual signed contracts—not savings.
Ask for measured value from spotting stalled contracts and improving forecasting; the team did not quantify either.
The original process required repeated manual entry, printing, signing and scanning.
In phase one, a contractor transferred CRM data to the e-signature tool, while Operations could reject incorrect entries.
In phase two, a CRM button sent the data directly to the tool for the seller to review and send.
McQuillan reports a build cost of about $165,000 plus roughly $7,500 in annual licensing.
McQuillan’s CRM-consolidation example shows what can go wrong when a project skips governance and fails to account for the full process.
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A subsidiary bypassed its parent company’s approval process; at go-live, marketing leads could not be received properly, while delivery and accounting could not process sales orders.
McQuillan attributes the failure to missing project oversight and resources, and reports that the failed project cost more than $1.5 million before their team redid it for another $500,000.
The case supports a practical lesson: include the people and functions affected by a systems change before launch.
The subsidiary was consolidating 14 CRMs. Sales and Product were included, but the project overlooked marketing’s role in lead intake and the needs of Delivery and Accounting downstream.
In another lead-to-cash case, McQuillan describes how unrestricted account creation led to duplicate records and pushed cleanup work onto Delivery, Accounting and Finance.
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Their team first limited account creation to a three-person governance team, then cleaned the CRM data.
They acknowledge the tradeoff: genuinely new account creation could take about a day longer.
They say the broader process nevertheless sped up, including revenue recognition and cash collection.
The account-governance team worked alongside a roughly 200-person sales organization. McQuillan says the change reduced duplicate accounts and helped address problems with invoicing, cash collection, reporting and renewals.
Across these cases, McQuillan argues that AI does not repair weak processes or incomplete data on its own.
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In the contracting example, reliable forecasting depended on people first improving the process and data.
In the CRM-consolidation and account-governance examples, AI agents working without clear ownership or recorded decisions could produce incomplete or fabricated answers.
The point is not that AI is inherently unsuitable, but that its usefulness depends on the systems and workflows it is given.
McQuillan traces failures across organizational hand-offs: marketing supplies leads, sales works them, and delivery and accounting fulfil and record the resulting orders. A project can work for the teams included in it yet still fail at its inputs or outputs.
Want a concrete example of why a seemingly obvious CRM automation can fail?
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This story shows how a temporary human handoff can help establish accurate data before automation.
McQuillan describes a sales team that copied contract details from its CRM into PDFs, then printed, signed, scanned, and sent them by hand.
Sellers had learned to enter inaccurate CRM data because they could correct it later during the manual contract step.
Instead of automating that broken handoff immediately, the team first used a contractor to transfer the data and gave Operations authority to reject errors.
After seller behavior changed, they automated the transfer.
McQuillan reports that turnaround fell by days and gives a build cost of about $165,000 plus $7,500 a year in licensing.
The team did not measure the value of earlier visibility into stalled contracts or more trustworthy forecasting; ask for quantified results if those benefits matter to the campaign.
For brands planning a campaign
For a CRM or e-signature campaign, lead with workflow diagnosis and data-quality readiness, not a promise that connecting tools alone will fix contracting. Assess current handoffs, error-rejection rules, and measures for cycle time and forecast reliability.
Wondering what CRM governance protects beyond software standards?
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This case follows the consequences across Marketing, Sales, Delivery, and Accounting, making the downstream risks of a project boundary easier to see.
McQuillan recounts a professional-services company with 14 CRMs after acquisitions.
A subsidiary bypassed the parent company's project-governance process to consolidate them.
The project included Sales and Product but missed parts of the workflow: Marketing leads could no longer enter properly, while Delivery and Accounting could not use the consolidated product information to fulfill or invoice orders.
McQuillan says the failed project cost more than $1.5 million and their team redid it for another $500,000.
They connect the case to AI agents: tools cannot reliably handle work when data ownership, workflows, and decisions are missing or kept offline.
For brands planning a campaign
For a consolidation or AI-agent brief, test whether process owners and downstream teams are included before recommending technology. The post supports a campaign angle about governance as a way to avoid expensive rework, rather than as a bureaucratic hurdle.
Need an example of a control that adds a step but may save time overall?
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This post traces the costs of duplicate account records through delivery, finance, and operational reporting, then explains the team’s two-part response.
McQuillan describes a CRM where salespeople could create new accounts freely, sometimes making a new account for each opportunity.
Delivery then had to match contracts to existing records, while Accounting and Finance cleaned up legal-entity information for invoicing and revenue recognition.
Their team restricted account creation to a three-person governance team working alongside a 200-person sales organization, then cleaned up CRM data.
Although the team expected new-logo creation to take about a day longer, McQuillan says the wider lead-to-cash process became faster, with quicker revenue recognition and cash collection.
For brands planning a campaign
For a CRM governance or revenue-operations brief, examine account ownership, duplicate prevention, and the full cost of downstream cleanup. A collaboration could show how to weigh a small intake delay against faster processing and cash collection; ask for measured results on those gains.
Short, first-person case studies built on specific numbers4
Build solid processes and data before deploying AI agents3
Phase process change before CRM automation2
Lead-to-cash as the recurring frame2
Skipping governance costs more than keeping it1
Govern account creation, then clean CRM data1
Phase process change before CRM automation
Alison McQuillan's contracting case study describes a global sales team with a fully manual contract process: a deal was entered in the CRM, retyped into a PDF, emailed to the client to print, sign, scan and return, then printed, signed and scanned again by the seller.
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Sellers entered inaccurate CRM data because they knew mistakes could be fixed by hand, so the workaround had become the process. McQuillan argues that wiring an e-signature tool directly into the CRM would have failed—not because the technology was wrong, but because people were not ready and the underlying process was not being followed.
The first phase added a manual hand-off: a contractor copied CRM data into the e-signature tool, and operations could reject inaccurate entries. Once accurate CRM entry became mandatory, a second phase passed data directly into the e-signature tool for sellers to review and send.
For brands planning a campaign
This is strong material for a B2B SaaS vendor selling workflow, e-signature or CRM tools and looking to address adoption risk and change management rather than pitch features. It gives a collaboration or consulting engagement a concrete, numbers-backed narrative.
A global professional services company, four years into PE ownership, still ran 14 CRMs from its roll-ups.
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A subsidiary PMO bypassed the parent company's governance process to run CRM consolidation itself.
At go-live, marketing leads could no longer enter the CRM, and delivery and accounting could not process sales orders: products had been consolidated in a way that left delivery unsure what to ship and accounting unable to invoice or recognize revenue.
McQuillan reports that the subsidiary spent over $1.5M on the failed project, then McQuillan's team redid it for another $500k—three times what it should have cost.
The stated root cause: the parent committee evaluated the project strategically and secured resources tactically, then handed it off to a PM and business analysts at the operations level. Bypassing governance skipped the tactical layer.
For brands planning a campaign
Governance, PMO and integration vendors can use this cautionary case study. Its three-level framing—strategic, tactical and operations—can anchor a lead-to-cash governance content collaboration.
In a PE-backed business unit, the lack of governance over account creation allowed CRM data problems to spread across the lead-to-cash workflow.
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Sales could create accounts freely and bypass territory restrictions; duplicate options led reps to create a new account for each opportunity instead of reusing one; delivery manually matched new contracts to existing records; and accounting and finance spent significant time cleaning legal entity structures for invoicing and revenue recognition. The two-prong fix restricted account creation to a three-person governance team working alongside a roughly 200-person sales organization, then cleaned the existing CRM data only after governance was in place, preventing teams from undoing the cleanup with more messy data.
McQuillan says the team expected the control layer to add about a day to new opportunity creation. They acknowledge a slight delay for truly new logo creation, while reporting that the overall lead-to-cash workflow sped up.
For brands planning a campaign
Relevant to CRM, data-quality and revenue-operations vendors, this case speaks to buyers skeptical of adding control layers by stating the tradeoff plainly.
Build solid processes and data before deploying AI agents
Across McQuillan's posts, a recurring argument is that AI amplifies the process and data foundation already in place.
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They write that pointing generative AI at the contracting process they started with would have multiplied the same bad habits rather than fixing them. In the 14-CRM example, they extend the argument to agents: sales agents entering leads without marketing's guidance risk incorrect entries, while a delivery or accounting agent answering questions about product formats could fabricate an answer—or simply pull in the salesperson—if notes were made offline or a client barred notetakers.
For brands planning a campaign
This gives AI and automation vendors a realistic adoption angle: a collaboration or co-authored piece can make the case for consolidating data and fixing workflows before deploying agents, rather than leading with capability claims.
The posts analyze operations end to end: marketing leads as inputs, sales processing, then delivery, accounting and revenue recognition as outputs.
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They locate failures at handoffs between functions, not within any single team. The same frame runs through the contracting, governance and account-governance stories.
For brands planning a campaign
McQuillan is a fit for content or consulting collaborations aimed at operations and revenue leaders who own cross-functional workflows, rather than single-tool buyers. A brief can focus on handoff failures instead of product comparisons.
Short, first-person case studies built on specific numbers
Each post follows a similar format: a first-person situation, an explanation of what went wrong, a sequence of fixes and a stated lesson, all anchored in concrete figures—14 CRMs, 14 roll-ups, over $1.5M spent and $500k to redo, roughly $165,000 to build with $7,500 a year in licensing, and one three-person team against a 200-person sales organization.
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For brands planning a campaign
The format suits sponsored case studies or co-authored pieces: brands can expect a first-person narrative with named costs and an explicit takeaway, rather than generic product education.
The posts share case studies and professional experience gained while working with various global companies on CRM governance and contract automation, but do not disclose commercial partnerships, sponsorships or employment relationships with specific brands or businesses.
Alison McQuillan writes short, first-person case studies drawn from enterprise operations work.
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They examine what happens when CRM processes, data and governance are weak—and why automation or AI can make the problems worse.
Start with the contracting story, which shows a phased fix before e-signature automation, then read about the 14-CRM consolidation failure and account-governance cleanup.
Each post gives a specific number, a sequence of decisions and a takeaway, making the business logic easy to follow.
Both write about CRM readiness and system integration.
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Irit Levi argues that connected systems enable seamless customer interactions, and that automation requires clean CRM data and documented processes.
Alison McQuillan makes the same case through contracting and lead-to-cash examples.
Both use short, first-person operational stories to teach process discipline.
Levi approaches the lesson from the customer experience side, focusing on sign-up flows, support handoffs and whether a CRM is ready for automation. McQuillan focuses on internal processes and governance failures, citing specific build costs and failed-project figures.
Rosas writes short, first-person case studies about agency sales processes and client retention, including how one company cut days to close from 46 to 11 and lost a client when its only contact left.
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McQuillan uses a similar format, showing how process changes affect downstream revenue and delivery.
Rosas focuses on the sales cycle and account security at an agency; McQuillan examines CRM governance, data cleanup and lead-to-cash handoffs across larger organizations.
Both write about contracting processes and the cost of poor communication and governance.
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Tripputi's post on SBIR Phase III explains why government teams should talk to contractors before award.
McQuillan's contracting case shows why a handoff and operations check were needed before e-signature automation.
Both use first-person stories to deliver a clear takeaway.
Tripputi draws on government procurement and SBIR funding pathways; McQuillan focuses on commercial sales contracting, CRM consolidation and account governance.
Alison McQuillan’s content targets enterprise decision-makers and operational leaders managing complex business systems in high-growth or PE-backed environments.
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They focus on failure points in large-scale processes, including CRM adoption, data governance, and lead-to-cash workflows. The posts argue that structural governance—not just technology—is essential to success, particularly when planning future AI implementations.
Alison McQuillan's posts do not describe a partnership, sponsorship, or paid-collaboration offer.
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Across four LinkedIn posts from September 2026, they write instructional case studies about CRM governance, contracting workflows, and lead-to-cash operations—the kind of operational work a brand would typically engage as a consulting or co-produced-content collaboration rather than buy as a listed media package.
Those posts contain no sponsored post, product endorsement, affiliate arrangement, media kit, rate card, or partnership inquiry route, so there is no published format a brand can book.
Reaching out to discuss a custom engagement is the practical path; a brand should agree on scope, deliverables, and terms directly.
Strong fit. The posts describe the buyer's own situation, from the inside.
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Brief
A B2B SaaS vendor selling contract-automation, e-signature, or CRM data-quality tooling to revenue-operations and enterprise IT buyers wants a co-authored content series plus light advisory help on lead-to-cash process design for the next two quarters.
Reasons
The contracting story describes a process the vendor sells into: a deal is entered in a CRM, everything is retyped into a PDF, emailed to the client to print, sign, scan and return, then printed, signed and scanned again by the seller. McQuillan goes beyond the mess: sellers entered inaccurate CRM data because they could fix it later by hand, and the obvious fix — wiring e-signature straight into the CRM — would have failed because the process was not being followed. That is the argument a process-automation vendor wants made for it, and it is unusual to find it made with the counter-lesson intact.
The figures are specific enough to build content on. Roughly $165,000 to build plus $7,500 a year in licensing in the contracting case; more than $1.5M spent on a failed CRM consolidation and another $500,000 to redo it after a subsidiary PMO bypassed the parent company's governance process. Specific numbers make a co-authored case study usable rather than generic.
The governance-skip story offers a second, materially different asset. A global professional services company four years into PE ownership still ran 14 CRMs; the project team consolidated products at an IP level that left Delivery unsure what to deliver and Accounting unable to invoice or recognise revenue. The framing is strategic, tactical and operations levels; bypassing governance skipped the tactical layer. That is a governance and integration-software argument told as a consequence, not a pitch.
The lead-to-cash frame runs across all the posts — marketing leads as inputs, sales processing, then delivery, accounting and revenue recognition as outputs — with failures placed at the handoffs between functions. That matches how a process-automation or revenue-operations vendor positions itself and gives a content series a consistent spine.
The account-governance case carries a stated tradeoff: the team expected new-logo creation to take about a day longer, and McQuillan reports that the wider process became faster, with quicker revenue recognition and cash collection. Buyers sceptical of adding another control layer will accept that more readily than a claim with no downside.
The AI angle is a second hook with little risk of sounding like vendor marketing. The recurring argument is that AI amplifies whatever process and data foundation already exists — point generative AI at the original contracting process and it multiplies the same bad habits. A vendor can co-publish that without claiming its product consolidates systems for the buyer.
Risks to resolve
No client, employer, or business unit is named in the posts, though McQuillan states the outcome figures. Before co-authoring, agree what can be named and what the vendor can independently substantiate. No collaboration format, media kit, rate card, or inquiry route appears in the posts, so scope, deliverables, and terms need to be negotiated directly rather than booked from a package.
When to choose a specialist
Poor fit. The posts are long-form enterprise case-study writing about CRM, ERP, and lead-to-cash operations, with no described bookable sponsorship, endorsement, or affiliate arrangement.
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Brief
A reach-driven paid sponsorship buy for a consumer productivity app aimed at individual users: short-form video posts, a fixed reach target, a discount or affiliate code, and a product demo in the creator's own voice.
Reasons
The four posts describe no sponsorship, endorsement, affiliate arrangement, media kit, rate card, or partnership inquiry route. There is no published format a brand can buy against; this is an absence of documented commercial offers, not a pricing mismatch. Reach out to agree a custom engagement rather than buy a sponsorship slot.
The content shape does not match the brief. Each post is a first-person case study: a situation, what went wrong, the sequence of fixes, and a stated lesson, anchored in figures such as 14 CRMs, a 14-roll-up history, over $1.5M spent and $500k to redo, roughly $165,000 to build with $7,500 a year in licensing, and a three-person governance team set against a 200-person sales organisation. That is dense operator material, not short-form demo or discount-code content.
The posts describe a professional, B2B audience — operations, revenue, finance, and delivery leaders in high-growth or PE-backed environments. For a reach-based buy, ask for demographic and engagement data before planning.
A sponsored-post format built around a personal recommendation would sit awkwardly beside writing whose credibility comes from naming process failures and costs, including what the team did not measure: the value of seeing a contract stalled before it became a lost deal, and the value of forecasting data that could finally be trusted. A discount-code integration would undercut what makes the posts work.
For a campaign aimed at reaching enterprise operators, an operator-authored enterprise case study or a governance-focused guide is a better use of the posts than an awareness campaign with a reach target.
Alternative for this brief
If the consumer-app brand still wants this audience, the workable shape is a custom commission — a co-authored piece on the handoffs that break when a tool is adopted before the process is fixed — not a sponsored video or a booked package.
A worked campaign example
Anchor asset
One long-form co-authored case study retelling the contracting story: the manual print-sign-scan loop, why sellers had learned to enter inaccurate CRM data, the deliberate first phase with a contractor copying CRM data into the e-signature tool and operations given authority to reject errors, then the second phase where the same button passed data straight through and turnaround fell by days. Include the build cost and licensing figure as stated, and the two things the team did not measure: earlier sight of a stalled contract, and trustworthy forecasting data. Naming the unmeasured benefits keeps it from reading as a success story with a product at the end.
Brief
Co-authored content series plus a diagnostic engagement for a CRM governance or contract-automation vendor selling to revenue operations, built on the good-fit brief above.
Campaign angle
Fix the handoff, then automate. The series argues that connecting tools does not repair a process nobody follows, and that governance added at the right point costs less than the rework it prevents. The vendor's product enters the story only in the second phase, after the process is made reliable.
Evidence gaps
Publication dates are not established in the post text, the contracting post text ends mid-sentence, and nothing beyond the posts supports employer, client, or credential claims. If the vendor needs named references or a dated chronology, collect that from McQuillan directly before the campaign scope is agreed.
Next step handoff
A paid diagnostic session mapped end to end across marketing leads, sales processing, delivery, and accounting and revenue recognition. Outputs: a written map of the handoffs between those functions, one agreed error-rejection rule with an owner, and measures for contract cycle time and forecast reliability. Close with a shortlist of which handoff to fix first and why.
Second piece
A governance cost comparison pairing the 14-CRM failure — more than $1.5M spent, $500,000 to redo, three times what it should have cost — with the account-governance case, where restricting account creation to a three-person team alongside a roughly 200-person sales org was expected to add about a day for genuinely new logos but the wider process sped up. State the tradeoff plainly so the vendor argues for governance on business grounds rather than through its own feature list.
Third hook
One short piece on why data and process consolidation precedes AI deployment: sales agents entering leads without marketing's guidance risk incorrect entries, and an agent answering delivery or accounting questions could fabricate an answer or pull the salesperson back in when notes were made offline or a client barred notetakers. Lead with the foundation argument, not capability claims.
What to avoid
Do not present the figures as audited or name clients or employers the posts do not name. Do not run the work as a fixed media or sponsorship package, or lead with AI capability claims: the argument is that AI amplifies whatever foundation already exists.
Working resource
A one-page handoff-readiness checklist for revenue-operations leads to complete before connecting e-signature to a CRM. Cover who owns field data at handoff, who can reject an entry and the response time, which fields must be complete before a deal goes to contract, how contract cycle time is measured, and how forecast reliability would be evidenced. Publish blank and completed versions, then test whether a reader can fill one out from the article alone and use it in a real project.
Choose Irit Levi over Alison McQuillan when the buyer's lead message is readiness rather than governance depth.
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McQuillan's posts ask whether a prospect's CRM is ready for AI voice automation and show what a disconnected sales, support and billing stack does to customers: repeated information, context lost at handoffs, slower responses and damaged credibility.
That suits a diagnostic-first engagement aimed at companies considering an AI add-on but unsure their data, pipeline stages and process documentation can support it.
The customer-experience angle gives a vendor a softer entry point than a governance postmortem, and it still fits the same campaign decision: a co-authored content series plus a paid diagnostic on CRM and handoff readiness.
The tradeoff is evidence depth.
Irit Levi's posts make the readiness argument and list symptoms, but they do not carry documented build and rework costs, before-and-after figures, or a governance tradeoff stated as a tradeoff.
Alison McQuillan's contracting, 14-CRM and account-governance posts supply specific numbers, named process roles and the cost of bypassing governance.
A series led by Irit Levi has a sharper opening hook but weaker substantiation, so if the buyer needs quantified case material to justify spend, this tradeoff favours the original subject.
Choose Gilberto Rosas when the buyer's audience is agencies and services firms rather than enterprise revenue operations.
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The posts are agency-owner case studies: a 34K-a-month owner whose seven-week, three-call sales cycle was compressed to one hour-long call, with days to close moving from 46 to 11 and close rate rising five points; and a 41K-a-month owner who lost a 9K client after one contact left and now requires three named contacts per account by day 30. Those are direct sales-process and account-retention lessons a CRM or proposal vendor can build content around, and they fit the same campaign decision: a co-authored series plus a paid sales-process and account-coverage diagnostic aimed at smaller services buyers.
The tradeoff is scope.
This is agency sales and client retention, not enterprise CRM governance or lead-to-cash handoff design across marketing, sales, delivery, accounting and revenue recognition.
A diagnostic built on these posts would be a sales-process and account-coverage review rather than a CRM and handoff map.
For a vendor selling contract automation into revenue operations, the subject matter is adjacent, not equivalent; ask for examples of system consolidation, data governance and integration failures between functions before treating it as a fit.
Choose Nicole Tripputi when the buyer sells into government contracting, defence or publicly funded programmes.
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McQuillan's posts deal with funding-pathway selection, procurement authority and SBIR Phase III direct awards, and argue that the right pathway should be matched to technology maturity, existing relationships, budget-cycle timing and the end user's procurement authority. A vendor whose revenue-operations content is aimed at public-sector buyers or contractors can use that situational framing for a co-authored series or a paid diagnostic on procurement readiness, under the same campaign decision.
The tradeoff is audience and subject matter.
The commercial enterprise lead-to-cash setting is absent, and the buyer task—improving CRM governance and lead-to-cash operations inside a company—sits outside the government procurement frame.
Choosing Nicole Tripputi means changing the audience and the diagnostic scope, not swapping one expert for another on the same buyer need.
Ask for evidence of CRM consolidation, contract turnaround, revenue recognition and governance layers inside a commercial organisation before treating this as a fit.
Four LinkedIn posts attributed to Alison McQuillan cover a contract-automation case study that appears twice as separate posts with the same text, an account of a subsidiary bypassing parent-company governance during a 14-CRM consolidation, and a piece on account governance and CRM data cleanup.
The posts do not carry publication dates, so changes over time cannot be assessed, and the two near-identical contracting posts cannot be sequenced.
One contracting post ends mid-sentence.
The case studies are self-reported: no client, employer or business unit is named, and the figures given — such as the build cost and licensing in the contracting case, or the amounts spent on the failed consolidation — are McQuillan's own accounts rather than externally verified facts.
The posts do not mention any sponsorship, endorsement, affiliate arrangement or partnership inquiry route, and do not establish audience or engagement data.
For context on comparable writers, six LinkedIn posts published between April and October 2026 by Irit Levi, Gilberto Rosas and Nicole Tripputi cover similar topics.
