Heather Crowley writes about treasury and working capital, including cash-flow management, supply-chain finance, and how businesses can adapt to changing payment and credit conditions. The posts also discuss J.P. Morgan working-capital solutions.
Heather Crowley is useful for concise, business-focused posts on treasury and working-capital problems.
Best for
A treasury software campaign needing co-authored working-capital content for finance and treasury professionals.
Not for
A consumer budgeting app aimed at households or personal money decisions.
Key takeaways
Working capital is a question of control, not just performance.
Legacy and fragmented tools are the practical obstacle.
AI and real-time data only work on a reliable data foundation.
Check first: Confirm sponsorship terms, inquiry route, and whether posts are paid placements or employee communications.
Main ideas
Working capital is a question of control, not just performance · Legacy and fragmented tools are the practical obstacle · AI and real-time data only work on a reliable data foundation
Heather Crowley writes about treasury and working capital, especially how businesses manage cash when payment cycles shorten, credit tightens, or supply chains face pressure.
In the LinkedIn posts reviewed, they move between broad finance challenges and practical examples: fragmented treasury tools, healthcare receivables and supplier payments, and AI applications in supply chains.
The posts present working capital not just as a financing issue, but as a way to give businesses more room to adapt.
Crowley makes working-capital challenges concrete by naming the operational friction behind them.
One post lists three problems finance teams can recognize—fragmented tools, slow implementations, and systems that do not flex across regions—then connects them to visibility and coordination.
Another applies the topic to healthcare, linking receivables and supplier cash cycles to liquidity and continued investment in patient care.
The set also includes curation: they point readers to Dominic Giordani’s analysis and identify predictive inventory, multi-tier visibility, and dynamic discounting as useful applications.
Follow this work for concise, business-focused framing of treasury and supply-chain finance problems.
Heather Crowley's posts return to one question: can a finance team see and change its working capital position when trade, credit and payment conditions shift?
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They argue that capital flexibility is now a business decision, not just a back-office treasury task; fragmented, older tools keep teams from acting; and AI and real-time data only pay off on a reliable data foundation.
Crowley applies the same frame to healthcare receivables and supplier relationships, where smaller suppliers have historically had less access to working capital.
Their posts typically offer a short diagnosis, a link to a longer resource and a closing question.
One recommends and frames another practitioner's analysis.
Working capital is a question of control, not just performance
Crowley argues that when market conditions shift, the useful question for a CFO or treasurer is not whether their working capital strategy is working but whether they can see and change it.
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Volatile trade, tighter credit and faster payment expectations have compressed the time treasury teams have to react, making flexibility and line of sight more important than a static plan. The same framing appears as a closing question in more than one post: is working capital a constraint or a lever?
In one post they write: "When market conditions shift quickly, the question isn't whether your working capital strategy is performing.
It's whether you have the control and line of sight to adapt it."
Another post ends: "are you treating working capital as a constraint or as a lever?"
Legacy and fragmented tools are the practical obstacle
Crowley repeatedly names the same blockers: manual processes, disconnected systems, spreadsheet management, tools that split supply chain, discounting and receivables, months-long implementations, and global programmes that cannot flex to regional requirements.
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These tools were built for slower payment cycles and cannot support compressed cycles or flexible cash flow. The alternative is a single platform with near real-time visibility, ERP integrations and broad market coverage.
One post lists three failures — fragmented tools, months-long implementations and global programmes that struggle to flex regionally — before describing a single platform with coverage across 55+ markets.
AI and real-time data only work on a reliable data foundation
Crowley links AI to specific working-capital and supply-chain tasks: flagging payment risk early, optimising supplier terms at scale, predictive inventory, multi-tier visibility and dynamic discounting.
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They focus on applications, reliable data as the foundation, and the trade-offs leaders must weigh. The trade-off discussion and data-readiness point come from the article Crowley recommends, written by Dominic Giordani, not from their own analysis.
The curation post names predictive inventory, multi-tier visibility and dynamic discounting as useful applications, and notes Giordani's article on "the trade-offs leaders are navigating and why reliable data is foundational."
Working-capital access should include smaller suppliers
Crowley argues that mid-market and smaller suppliers have historically had limited access to working capital solutions while large buyers had more, and that AI-enabled tools can level a playing field tilted toward large buyers.
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They link working capital management to supply chain resilience and supplier relationships, not just the buyer's own balance sheet.
One post states that AI-enabled tools "go further to flag payment risks early and optimise terms across supplier bases in real time, at scale," and that for mid-market and smaller suppliers this "levels a playing field that has historically been tilted toward large buyers."
Healthcare cash flow needs sector-specific financing, not a single policy fix
Crowley argues that healthcare cash flow variability runs deeper than one policy change and cannot be solved by traditional financing alone.
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The right working capital tools let providers monetise validated receivables for immediate liquidity, shorten supplier cash cycles through supply chain finance, and reduce reliance on higher-cost borrowing — while keeping investment in patient care and digital modernisation on track. For buyers, ask for the longer article linked in the post; it is not included here.
The post lists what working capital solutions should do in healthcare: "monetize validated receivables for immediate liquidity, shorten supplier cash cycles through supply chain finance and reduce reliance on higher-cost borrowing."
Curation as a method: recommending and framing other practitioners' work
Crowley recommends another practitioner's article, naming Dominic Giordani as the author and Payments Unbound as the source.
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They identify the applications they find useful and note the article's coverage of trade-offs and data. The substance comes from the linked article, not Crowley's own text.
The post calls the linked piece "a strong overview of how AI is upgrading supply chain management" and credits "this Payments Unbound article from Dominic Giordani" by name.
This is the clearest statement of how Crowley frames the topic: the question is not whether a capital strategy is performing, but whether a treasury team has enough line of sight to change it.
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Newcomers should start here; it sets up the problem the other posts return to.
The post shifts the question from “is your strategy working” to “can you adapt it.”
It names the pressures — volatile trade dynamics, tightening credit conditions and faster payment expectations — then describes the tools many organisations still use: manual processes, disconnected systems and spreadsheets.
These tools were built for slower payment cycles and cannot support today’s need for flexibility.
Crowley outlines J.P.
Morgan’s trade and working capital offering, including operations in more than 100 markets and 120 currencies, and specifies where the value lands: digital tools free treasury teams from work that does not require human judgement, while AI tools flag payment risks early and optimise supplier terms at scale.
The post also notes that mid-market and smaller suppliers have historically had limited access to working capital.
It closes by asking readers whether working capital is a constraint or a business driver.
For brands planning a campaign
In a co-authored series with a treasury software company, this post offers a reusable structure: reframe the question, name external pressures, diagnose legacy tools, describe capabilities, then close with a question that invites replies. That question is ready-made as a comment prompt, while the supplier-access argument gives the series an audience beyond the buyer’s treasury team.
The post answers the question treasury and finance leads ask: why is this still hard when the tools exist?
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Its bulleted list of failures is the most concrete diagnosis in the set and easy to check against a reader’s own systems.
Crowley starts with the 24/7 on-demand economy and its compressed payment cycles, then lists three specific problems: fragmented tools make supply chain, discounting and receivables hard to manage in one place; technology implementations take months when businesses need to move now; and global programmes struggle to adapt to regional requirements.
The post presents the alternative as a single platform with near real-time visibility, ERP integrations that work with existing systems and coverage across more than 55 markets.
It argues that consolidation turns working capital from a coordination problem into a strategic advantage.
J.P.
Morgan’s Working Capital Accelerator is named as the product, with a link to more detail.
The post closes with the same question used elsewhere: constraint or lever.
For brands planning a campaign
The three-part failure list is the post’s strongest asset for a co-authored piece.
Each item gives a software partner a section to address with specifics: consolidation, implementation time and regional flexibility.
A series could take one failure per instalment and pair it with a worked example instead of repeating the platform pitch.
This is the most vertical example in the reviewed set.
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Crowley applies working capital thinking to one industry’s cash-flow problem and links to a longer article. Partners should ask for the article to assess the depth behind the post.
The shortest and most specific of the four posts, this one applies working capital solutions to healthcare.
Crowley argues that cash-flow variability runs deeper than a single policy change and cannot be solved by traditional financing alone.
The post lists what the right solutions can do: monetise validated receivables for immediate liquidity, shorten supplier cash cycles through supply chain finance and reduce reliance on higher-cost borrowing.
The goal is to keep investment in patient care and digital modernisation on track.
A link points to a longer article not included in the post; partners should ask for it to assess the supporting detail.
For brands planning a campaign
Healthcare is a natural vertical for a series, and this post offers a clear pattern: name the industry’s cash-flow variability, then match each financing tool to the buyer’s priorities. The underlying article is not available, so a partner would need to supply the sector detail rather than assume Crowley’s longer treatment covers it.
This post answers a different question from the others: how does Crowley engage with other people’s work?
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For partners, seeing whose analysis they amplify matters as much as seeing what they write themselves.
Unlike the other three, this post curates rather than argues.
Crowley says working capital management is increasingly tied to supply chain resilience, then recommends a Payments Unbound piece by Dominic Giordani on AI in supply chain management.
The post names the applications it considers useful — predictive inventory, multi-tier visibility and dynamic discounting — and highlights the article’s coverage of leaders’ trade-offs and the importance of reliable data.
The post’s contribution is its selection and framing; partners should read the linked article to assess the substance.
For brands planning a campaign
This is a credible, low-effort way to be useful to a partner: select a specific outside analysis, explain which applications matter and why the source is worth reading. Crowley also credits other authors by name, useful for a co-authored series that aims to avoid one-sided promotion.
Post format: short diagnosis, product or article link, closing question4
AI and real-time data in working capital and supply chain3
Supply chain resilience and trade working capital3
Working capital as a strategic lever, not a constraint2
Legacy tools and fragmented systems as the core obstacle2
Global reach, currencies, and implementation speed2
Healthcare cash flow and receivables liquidity1
Working capital as a strategic lever, not a constraint
Across several posts, Crowley frames the central question for finance leaders: Is working capital a constraint or a lever?
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The posts argue that volatile trade, tighter credit, and compressed payment cycles make flexible capital control a business driver, not just a treasury task.
Uses a direct either/or question to structure the argument and invite a response.
For brands planning a campaign
A co-authored series can open with this framing, then show how treasury software turns working-capital data into decisions.
Legacy tools and fragmented systems as the core obstacle
Crowley identifies manual processes, disconnected systems, spreadsheets, fragmented tools, slow implementations, and global programs that cannot flex by region as blockers.
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The posts contrast these with automated, real-time, ERP-integrated platforms.
Lists concrete operating failures before presenting a platform solution.
For brands planning a campaign
Partner content can skip generic digital-transformation language and focus on replacing fragmented workflows in supply chain, discounting, and receivables.
AI and real-time data in working capital and supply chain
The posts connect AI to payment-risk flags, terms optimization, predictive inventory, multi-tier visibility, dynamic discounting, and reliable data foundations.
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One points to AI upgrading supply chain management while noting the trade-offs leaders navigate.
For brands planning a campaign
A co-authored series can pair practical AI use cases with data-readiness checks rather than making broad claims about AI.
One post applies working capital to healthcare, arguing that cash-flow variability runs deeper than a single policy change.
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It names monetizing validated receivables for liquidity, using supply chain finance to shorten supplier cash cycles, reducing higher-cost borrowing, and protecting investment in patient care and digital modernization.
This is the only sector-specific example in the posts.
For brands planning a campaign
A treasury software partner can target healthcare finance audiences with an article or webinar on receivables and supplier cash cycles.
Posts tie working capital management to supply chain resilience, trade dynamics, supplier relationships, discounting, and payment terms.
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They discuss extending payment terms, accelerating payments where useful, and mitigating risk across the conversion cycle.
For brands planning a campaign
Campaign briefs can ask Crowley to connect working-capital metrics to supply-chain outcomes, giving procurement and operations leaders a reason to pay attention.
Post format: short diagnosis, product or article link, closing question
Crowley's posts are compact LinkedIn texts.
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They usually set out a market shift, name operational problems, point to a J.P.
Morgan solution or article, and end with a question for readers.
Some include specific links to working-capital resources.
A question-led closing invites comments and makes the post feel consultative rather than broadcast-only.
For brands planning a campaign
A co-authored series can follow this format: a clear problem, a practical diagnostic, and one next step per post. The partner should expect the post to drive readers to a resource or product page.
The posts show one brand relationship in detail: J.P.
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Morgan, whose trade and working-capital products Crowley promotes with first-person language such as "our trade and working capital solutions," "our team," and "our clients."
The role behind that language is unstated; ask whether this is an employer, client, or another arrangement.
Another post credits an article published by Payments Unbound.
J.P. Morgan
Disclosed partnership
Crowley promotes J.P.
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Morgan's trade and working-capital offering, naming the Working Capital Accelerator and a platform covering 55+ markets, and links readers to J.P.
Morgan pages.
The posts use first-person phrases such as "our trade and working capital solutions," "what our team is building," and "our clients," indicating a commercial association.
The exact relationship is unstated; ask whether this is an employer, client, or another arrangement.
Crowley points readers to a Payments Unbound article by Dominic Giordani on AI in supply-chain management and calls it a strong overview of predictive inventory, multi-tier visibility, and dynamic discounting.
Heather Crowley’s LinkedIn posts are best read as a short run of linked arguments rather than a feed to scroll.
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Start with the posts that ask whether working capital is a constraint or a lever, then move to those that name practical obstacles — manual processes, disconnected systems, spreadsheets, slow implementations, and global programmes that cannot flex by region.
From there, the work branches in three directions: how AI and real-time data change payment-risk and supply-chain decisions, how working capital plays out in one specific sector (healthcare receivables), and how smaller suppliers get access to financing that has historically favoured large buyers.
Crowley also recommends and frames another practitioner's article, linking readers to longer resources.
For an adjacent view of the same CFO and treasury audience, the three creators below are worth comparing: each writes short, argument-led posts for finance leaders, but they diverge on subject and how directly they pitch a product.
Writes short LinkedIn posts for CFOs and treasurers that make one working-capital argument and close with a concrete next step.
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Like Crowley, D’Abranches treats legacy single-bank AR/AP financing as a constraint on funding capacity and cost of capital, and argues that an active programme is not necessarily an optimized one.
D’Abranches writes from inside a named provider (Monkey Global), and the posts read closer to a sales narrative — including an explicitly described go-to-market of selling the uncovered tail of a programme first and letting the rest follow.
Crowley’s posts frame J.P.
Morgan solutions but more often send readers to a longer article or product page than narrate the sales motion.
Same audience and format: a short LinkedIn post that opens with a recognisable finance situation, diagnoses it, and offers a specific next step.
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Hoyle’s subject — FX pricing that drifts unmeasured for years — is the same kind of quiet operational erosion Crowley describes in fragmented working-capital tooling.
Hoyle focuses on FX execution cost and benchmarking, with an independent transaction cost analysis as the next step. The posts read as an adviser’s prompt to check the numbers, not a platform pitch.
Writes argument-first posts for finance leaders that reframe a familiar metric and back it with third-party research, much as Crowley does when discussing cash flow visibility and working capital as a business driver.
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Viswanath’s cash conversion cycle post reaches a similar conclusion: visibility and data, not harder collections, move cash faster.
Viswanath focuses on FP&A and capital allocation — budgeting, driver-based planning, value drivers — and cites published research from McKinsey and PYMNTS. Crowley’s posts are more product-adjacent and more often sector-specific or focused on supplier access.
For a treasury software partnership, Crowley’s posts demonstrate topical relevance, not confirmed audience composition.
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They cover working capital, cash-flow variability, supply-chain finance, receivables monetization, dynamic discounting, and AI-enabled treasury tooling—topics relevant to finance and treasury professionals.
The only measured audience figure available is a LinkedIn follower count of 3,274 at the October 8, 2026 snapshot; no post-level reach, engagement rate, employer, job title, or seniority breakdown is published here.
Followers of a finance-topic account are not necessarily treasury decision-makers at large organizations, so the count is not evidence of budget-holding reach.
Placement decision: usable for a co-authored working-capital series on topical fit, pending measured audience data before committing to paid distribution or a shared byline.
Next step: ask Crowley or their team for platform audience demographics or an audience survey covering geography, age, gender, employer type, and job seniority among a comparable finance audience.
LinkedIn followers
3,274
LinkedIn profile for the account that published the four reviewed posts · 2026-10-08
Morgan trade and working-capital products, including the Working Capital Accelerator and healthcare working-capital financing.
Product-specific language and outbound links make the relationship commercially relevant to a treasury software buyer.
Before proceeding, ask Crowley or J.P.
Morgan whether these posts are paid placements, employee communications, or available as co-authored sponsorships, and confirm the sponsorship terms and inquiry route.
Brand-sponsored LinkedIn posts
Buyer requirement
Written confirmation that the post is available as sponsored content, not only as an employee or corporate post.
The reviewed examples carry J.P.
Morgan product language and links, so a treasury software buyer should confirm exclusivity, disclosure wording, approval turnaround, link ownership, and whether competing treasury products can be promoted in the same period.
Article sharing or bylined article promotion
Buyer requirement
A defined link destination, editorial control, and measurement plan. Heather Crowley’s posts point readers to outside articles and a Payments Unbound piece, but do not explain how a sponsor supplies the article, who edits it, or how click and conversion data are reported.
Strong fit for a campaign by a treasury software company.
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Crowley’s posts address the buyer’s subject area; the gap is practical detail, not topical alignment.
Four reasons support the decision.
First, the subject match is direct: the posts make the case for working capital as a strategic lever, name specific blockers (manual processes, disconnected systems, spreadsheets, fragmented tools, slow implementations, and global programmes that cannot flex by region), and discuss supply chain finance, receivables monetisation, dynamic discounting, and AI-enabled payment-risk and terms optimisation.
A treasury software company would not have to teach them the category.
Second, the format is reusable.
Each post follows a short pattern: a market shift, a diagnosis of legacy tooling, a named solution or outside article, then a closing question to the reader.
That structure carries straight into a co-authored series, and the closing question is a ready-made comment prompt.
Third, the posts offer more than one audience angle.
The argument that mid-market and smaller suppliers have historically had limited access to working capital gives the series a second readership beyond the buyer’s treasury team.
One post also applies the argument to healthcare, the only sector-specific example in these posts.
Fourth, the curation post shows a willingness to name and recommend other authors, which matters if a series needs to avoid reading as one-sided promotion.
Settle these conditions before committing.
The posts use a named bank’s product language and link to its resources, so a competing treasury vendor needs written confirmation of the posting arrangement: whether these are employee communications or paid placements, whether exclusivity applies, how disclosure is worded, who owns the link destination, and how quickly the sponsor gets approval.
The only audience information is a follower count of 3,274 at the October 2026 snapshot; employer, seniority, geography, and engagement breakdowns are unavailable.
Before paid distribution or a shared byline, ask for an audience survey.
Three posts point to articles or product pages that are not linked here.
Ask for the material on healthcare receivables, the Working Capital Accelerator, and AI in supply chain management before building the series around those topics.
When to choose a specialist
Weak fit for a consumer budgeting app aimed at households.
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Crowley’s posts focus entirely on enterprise finance.
They address CFOs, treasurers, procurement and operations leaders; discuss payment terms, ERP integrations, currency coverage across more than 100 markets, receivables monetisation, supply chain finance, and supplier access to working capital.
None of the four posts addresses personal budgets, savings, credit for individuals, or household money decisions, or shows a consumer-facing explanation style.
The calls to action are corporate: a bank product page, a working-capital platform, a trade and working-capital resource, and a business article on AI in supply chain management.
The format also suits a business audience: a short diagnosis followed by a link to a corporate resource.
That works for a treasury buyer, not someone choosing a budgeting app.
The only audience figure is a follower count; age, gender, geography, and household breakdowns are unavailable.
If a consumer campaign is seriously under consideration, ask for a consumer-finance post, household-audience metrics, or a documented consumer sponsorship.
Until then, a consumer budgeting app should look elsewhere, while a treasury buyer should shortlist Crowley on the strength of these posts.
A worked campaign example
Campaign angle for a treasury software company: a four-part co-authored LinkedIn series on working capital optimisation, published on Crowley’s account, with the sponsor providing data, an editor, and the destination page.
Post one reframes the question.
Working title: Is your working capital a constraint or a lever?
It opens by rejecting the usual performance framing, shifting from whether the strategy is working to whether the treasury team has the line of sight to change it.
It names the pressures plainly—volatile trade, tighter credit, compressed payment cycles—then diagnoses what gets in the way: manual processes, disconnected systems, and spreadsheets built for slower cycles.
It closes with the constraint-or-lever question, which doubles as the comment prompt.
Post two tackles one failure per instalment rather than restating a platform pitch.
The gaps in Crowley’s posts are the strongest material here: supply chain finance, discounting, and receivables managed in separate places; implementations that run for months when the business needs to move now; and global programmes that cannot flex by region.
Use the sponsor’s own consolidation data and a real timeline as the worked example, since treasury readers are most likely to doubt a claim about faster deployment.
Post three is the vertical: healthcare.
The angle is that cash-flow variability in healthcare runs deeper than a single policy change, and traditional financing alone will not cover it.
The post covers three practical moves: monetising validated receivables for immediate liquidity, shortening supplier cash cycles through supply chain finance, and reducing reliance on higher-cost borrowing.
Frame the outcome as protecting patient-care and digital-modernisation budgets.
Ask the sponsor for the sector detail; the article linked in the original post is not linked here.
Post four borrows the curation format.
Rather than another product post, Crowley introduces an outside analyst working on predictive inventory, multi-tier visibility, or dynamic discounting, explains which applications matter and why the source is worth reading, and lets the sponsor’s data-readiness point sit underneath.
The posts show a willingness to credit another author by name, making this format realistic rather than speculative.
Delivery notes: Keep each post in the same short shape seen across all four examples: a market shift, one diagnosis, one next step.
Point the closing question to a sponsor-owned destination instead of a bank product page, and decide before launch who holds the byline and how the disclosure line reads.
Measure clicks to that destination and comment volume on the closing question; none of the posts includes engagement data.
Before launch, resolve the posting arrangement and any exclusivity, request an audience survey covering employer type and seniority, and obtain the longer article detail needed for the healthcare and AI posts.
If those cannot be confirmed, the series can still run as a top-of-funnel awareness set, but it should not be sold internally as a measured pipeline campaign.
Choose D’Abranches over Crowley when the sponsor needs a partner who can argue a commercial position rather than explain the category, and whose audience includes CFOs and treasurers already running a bank programme and sceptical of replacing it.
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Two posts make that case in detail.
One reports that boards and C-suites are asking CFOs and treasurers for weekly liquidity updates, that single-bank AR/AP programmes may now constrain rather than expand working capital, and that a multi-funder model can widen capacity and cut the cost of capital.
The other lays out a go-to-market approach: approach the CFO without touching existing bank relationships, plug into the uncovered tail of AR and AP, let the two run side by side, and expect the CFO to ask for the rest of the programme around month six.
For a treasury software company whose sale stalls because buyers will not rip out an incumbent, this approaches the same buyer task from the opposite direction and offers a written sales narrative to test in a co-authored series.
The posts also cite figures — supplier participation averaging more than 55%, 25% cash flow expansion in four months, outcome-based pricing with no upfront cost — that give a series concrete claims to debate, even if the sponsor cannot reuse them.
The material is product-first.
Both posts are built around a named competing platform, so a treasury software vendor co-publishing with D’Abranches would put a rival’s pitch, pricing model and performance claims in front of its own prospects.
The add-don’t-replace argument also directly counters a platform sale that depends on migration, so the sponsor would need to decide whether its series can concede that ground.
The figures are the partner’s own claims; ask for audience, engagement and client evidence before relying on them.
The pitch is longer and more sales-letter-like than Crowley’s short diagnosis-and-question posts, which changes the shape of a co-authored instalment.
Choose Hoyle when the campaign can move from working capital optimisation to FX cost transparency, or when the target reader is a finance leader in their first months in a role, auditing inherited arrangements.
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Two posts do for FX what Crowley’s posts do for working capital: identify specific, unglamorous failures — pricing that drifts a few basis points at a time and is never benchmarked, or an arrangement bundled with the banking relationship that never had to win a comparison — then offer simple questions to ask, such as when rates were last checked against the market and whether a benchmark is on file.
The posts cite the MillTech Global FX Report 2026, which finds that cost transparency is now a top priority for North American corporates, while 34% still instruct FX by phone and 29% by email.
This detailed treatment of a narrow subject suits a sponsor seeking an advisory, low-pitch voice and a co-authored series about the first review a new CFO runs.
Neither post touches working capital, supply chain finance, receivables or payment terms, leaving almost none of the sponsor’s core subject matter on the page.
Hoyle’s practical next step is an independent transaction cost analysis at no cost beyond trade data, making benchmarking, rather than software deployment, the natural focus for a series based on these posts.
The short advisory-note format gives a sponsor less structure for multi-part content than Crowley’s posts do.
Choose Viswanath when the sponsor wants an explainer who teaches through outside research and frameworks, and when the product is analytics or visibility rather than platform consolidation.
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One post argues that budgeting’s real flaw is allocating capital by department rather than by value driver, cites McKinsey’s finding that eight to ten operational drivers explain most performance variance, and shows what those drivers look like in SaaS and manufacturing.
The other presents the cash conversion cycle as a competitive advantage, citing a PYMNTS Intelligence report that top performers convert cash in 24.2 days against 44.4 days for lower performers.
It reframes working capital as a data problem solved by connecting procurement, operations, suppliers and finance data.
That framing aligns with a treasury software pitch about real-time visibility and gives a co-authored series an educational spine that does not depend on the sponsor’s own claims.
The posts summarise third-party reports rather than presenting original data or named implementations.
The sponsor would need to supply first-party evidence and practical detail; ask for the underlying studies before reusing the day-count or value-driver figures.
The voice is an analyst’s summary rather than a practitioner account.
A sponsor seeking someone who can describe how a deployment actually runs should choose Crowley.
Four full LinkedIn posts by Heather Crowley cover healthcare cash-flow variability, the on-demand economy and trade working capital, adapting strategy to fast market shifts, and AI in supply-chain finance.
The posts do not show publication dates; they are dated to May-August 2026.
Posts link to longer articles or product pages that are not included here, so descriptions of that material are limited to how the posts characterise it.
The posts provide no engagement metrics, audience demographics, sponsorship terms or independent confirmation of Crowley's role or employer.
The J.P.
Morgan relationship appears only in the posts' first-person language.