Carly Macmeikan

The strategic question, they say, is how each domain changes—not whether one team should adopt a tool.

• The post cites Accenture research that generative AI could automate or augment 58% of supply chain processes, then directs readers to a Logistics Management article for detail.
• It takes a pro-adoption stance, presenting the research as catching up with work Macmeikan says they have been doing for a while.

The post makes its case with a 58% figure, a domain list and an outbound link. The linked article, not the post, explains the method behind the number.

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As sovereign manufacturing capability grows more important, automation lets operations scale, improves productivity and maintains quality under pressure—a strategic answer, not a tooling purchase.

The production post makes its case in plain terms, without naming companies or citing figures, and links out for detail.

• A companion post says humanoid robots are already in use in logistics and automotive manufacturing and argues industrial companies should prepare now.
• It acknowledges that their future in manufacturing is still unfolding and points readers to an Automation World article by Accenture's Brian May.

The robotics post extends the same measured position: it presents the technology as a live option worth preparing for, not a solved problem. It also shows that Macmeikan's interest extends beyond generative AI.

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They endorse the idea that AI and automation should make human work easier, safer, and more precise, and cite a named partnership as an example.

Dow teamed with Accenture on the Digital Manufacturing Acceleration programme, which the post says improved worker data access and safety in manufacturing plants.

• The linked story, not Macmeikan, supplies the line about making work easier, safer, and more precise.
• Their contribution is the framing around the partnership.

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The framing moves supply chain investment from operations into national-capability territory, which is why defence tags appear alongside supply chain tags across the posts.

The post cites an Accenture report based on insights from more than 3,000 executives as a maturity benchmark. Its argument is the link between maturity and sovereignty; ask for the framework and findings behind the benchmark.

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The posts are quick to follow and give a partner citable proof points; ask for supporting evidence where a claim needs to stand on its own.

A short post shares that Accenture was named a leader in the HFS Research Horizons: Manufacturing Intelligent Operations Services, 2024 report, linking the recognition to defence industry relevance and the transformation of manufacturing operations under global supply chain pressure.

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A newcomer assessing whether their AI interest is substantive should start here.

Carly Macmeikan shares Accenture research that generative AI could automate or augment 58% of supply chain processes, naming design and engineering, planning, sourcing and procurement, production, and fulfilment as affected areas, and links to a Logistics Management article.

• They frame the research as catching up with a view they have held for a while, placing them on the pro-adoption side of the AI debate.
• Defence and defence-industry tags sit alongside the supply chain tags, tying a general AI claim to a defence audience.
• The post reports a headline figure and points readers to the source.

For brands planning a campaign

A co-authored article or webinar could open with the domain-by-domain map and use the 58% figure as a hook, after checking the underlying Accenture or Logistics Management source before repeating it as evidence.

This post argues that humanoid robots are already in use in logistics and automotive manufacturing and that industrial companies should be preparing now, while noting that the technology's future in manufacturing is still unfolding.

• It directs readers to an article in Automation World by Accenture's Brian May.
• The framing is measured rather than promotional: robots are a live option, not a solved one, and preparation is the recommended response.

For brands planning a campaign

Useful for a partner seeking an angle on factory automation beyond GenAI. Present it as commentary on a pointer to an article, not as first-hand robotics research by Carly Macmeikan.

Carly Macmeikan quotes a line about AI and automation making human work easier, safer, and more precise, then describes Dow teaming with Accenture on the Digital Manufacturing Acceleration programme to improve worker data access and safety in manufacturing plants.

• The example is specific: a materials science company, a named programme, and a stated worker benefit.
• The post frames the partnership around human outcomes rather than project details.

For brands planning a campaign

This post and the linked Dow example provide a direct grounding for a co-authored piece on workforce safety or plant digitalisation.

This post argues that building mature, next-generation supply chain network capabilities is no longer optional but necessary for sovereign capability, and points to an Accenture report said to draw on insights from more than 3,000 executives.

• The post is brief and offers little detail on the maturity framework or its findings.
• Its distinct contribution is linking supply chain maturity to sovereignty rather than cost or speed alone; ask for the report before relying on its findings.

For brands planning a campaign

This gives a defence consultancy a sovereignty narrative to build on and a scale marker in the 3,000-executive sample. Ask for the report before quoting its findings as Carly Macmeikan's view.

It offers a concise entry point to the efficiency argument behind the sovereign-capability posts.

Here the argument runs from sovereign manufacturing ambition to production efficiency: using automation effectively scales up manufacturing operations, optimises productivity, and ensures quality, with automation presented as a strategic answer to evolving challenges. The post sets out the business case in plain terms and links to more detail.

For brands planning a campaign

This pairs naturally with the supply chain maturity post for a sovereign-manufacturing narrative. Any partner piece should bring supporting data.

Citing Accenture research, the post says 58% of supply chain processes could be automated or augmented, spanning design and engineering, planning, sourcing and procurement, production, and fulfillment. They present the claim as validation of work they have already been doing in the area, backed by a linked article from Logistics Management.

Anchors the argument in third-party research and a linked trade article, not personal assertion alone.

For brands planning a campaign

A strong hook for a co-authored explainer or webinar showing a defence or industrial audience where generative AI changes a specific workflow, rather than offering a general AI overview.

Examples: Source 1

They frame production efficiency as key as sovereign capability grows more important, and position strategic automation as a way to scale manufacturing operations, optimise productivity, and ensure quality amid evolving challenges.

AI and automation remain distinct topics. A separate post notes that humanoid robots are already in use in logistics and automotive manufacturing, and argues that industrial companies should prepare now, citing a colleague's article in Automation World.

For brands planning a campaign

Suited to a practical content partnership on automation roadmaps, productivity gains, or quality outcomes in production, where the audience accepts the strategic case and needs implementation detail.

Examples: Source 1 · Source 2

The post points to a Dow and Accenture Digital Manufacturing Acceleration program that improved worker data access and safety in plants, and explicitly signals interest in what it calls the human-centric application of technology.

For brands planning a campaign

A good basis for a safety- or workforce-focused campaign that frames technology adoption around measurable worker outcomes, not productivity alone.

Examples: Source 1

The post cites an Accenture report drawing on insights from more than 3,000 executives to describe current maturity levels and frame resilience as an organisational gap to close.

For brands planning a campaign

Useful for a research-led article or webinar for executives seeking a maturity benchmark and a reason to act on supply chain resilience in a defence or sovereign-capability context.

Examples: Source 1

The post links that recognition to defence industry relevance and the transformation of manufacturing operations amid global supply chain challenges.

For brands planning a campaign

Works as the credibility layer in a partnership when a co-authored piece needs independent proof points alongside vendor claims.

Examples: Source 1

One post promotes Accenture's presence at the Farnborough International Airshow, describing live demos of generative AI for supply chain resilience, engineering and manufacturing, aftermarket operations, and business development. It adds a personal line about enjoying airshows.

A short promotional post with a personal aside and a link to a program page, rather than a long analytical piece.

For brands planning a campaign

Shows a willingness to post around events and live demos, giving a partner a way to tie a campaign to the trade show calendar.

Examples: Source 1

Posts typically open with a plain framing sentence or personal observation, then point to the linked source. Several use a first-person voice to signal interest.

The airshow and analyst-recognition posts are promotional, showing that the account mixes original commentary with company news.

For brands planning a campaign

Expect short, link-led amplification and plan a longer-form asset—an article, webinar, or report—as the anchor those posts point back to.

Examples: Source 1 · Source 2 · Source 3 · Source 4 · Source 5 · Source 6 · Source 7

Two posts refer to Accenture in the first person: “Here is our full report” for an Accenture supply chain study based on more than 3,000 executives, and “our showcase” at the Farnborough International Airshow, which the post says will demonstrate generative AI for supply chain resilience and manufacturing.

• Another post welcomes Accenture's recognition as a leader in the HFS Research Horizons: Manufacturing Intelligent Operations Services, 2024 report and links to Accenture's account of the work.
• Carly publicly promotes Accenture content; ask them to clarify their role and the terms of the relationship.

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Macmeikan covers the same ground, arguing that defence investment should modernise domestic production rather than only buy finished systems abroad.

Cacciatore's posts are longer and more technical, drilling into device-level cybersecurity standards such as IEC 62443-4-2 and the security implications of connected factory equipment.

• They speak directly to Canadian manufacturers, with an open invitation to discuss what capability should be built at home.
• Macmeikan sticks to short, research-led posts, making the case through named Accenture studies, a colleague's article and analyst recognition rather than a technical standard.

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Both writers publish practical posts that point readers to named programmes and concrete next steps rather than staying abstract.

Kolomiets concentrates on UK defence small and medium-sized businesses: routes into the supply chain, export support, seed funding, and the commercial and sales capability a defence technology company needs once its product works. Macmeikan focuses on manufacturing and supply chain technology adoption, framed through Accenture research and company announcements, with less emphasis on market entry or procurement routes.

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This overlaps with Macmeikan's argument that supply chain maturity is a sovereignty question and that automation underpins sovereign manufacturing.

Morgan works from Australian procurement policy and leadership development, reasoning through analogy — comparing national fuel reserves to spare capacity in a team, for instance — to make a point about resilience. Macmeikan focuses on manufacturing and supply chain technology, judging automation and AI by their effects on production and people on the plant floor.

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Their work argues that robot selection has historically weighed payload, reach, accuracy, cycle time, price, service, and integration, and that cybersecurity now belongs on the list too.

• They point to IEC 62443-4-2 and its Security Level 2 requirement, tie it to the robot controller that may sit on the plant network, and tell buyers to ask the manufacturer and integrator for the certificate rather than accept a general cybersecurity claim.
• They also cite the 2023 ABB ransomware disclosure as a reminder that industrial companies are not immune, while noting ABB did not identify its robot controllers as affected.
• A second post turns Canadian defence spending into a manufacturing modernization argument, listing production modernization, robotics and automation adoption, skilled technical workforces, domestic supply chains, and sovereign manufacturing capability as what defence investment should build.
• It closes with an open invitation to talk to Canadian manufacturers.
• Pick this creator when the buyer task is reaching an operations or plant-technology audience weighing automation investment, and a named standard and documented security incident are more useful than a maturity benchmark.

The centre of gravity is different.

• Anthony Cacciatore writes about securing and modernising physical production, not benchmarking supply chain maturity or where generative AI could automate or augment supply chain domains.
• There is no equivalent of the 58% figure, the report based on more than 3,000 executives, or a supply chain planning and procurement frame.
• The manufacturing and defence argument is explicitly Canadian, and the second post asks Canadian manufacturers what must be built domestically, so it lands best with a Canadian or North American industrial audience.
• The posts do not document audience size, seniority, or engagement; ask for those figures to compare reach with Carly Macmeikan’s roughly 2,463 LinkedIn followers.
• They also do not document sponsorship or partnership formats; agree terms and any employer or conflict constraints directly in writing.

Examples: Source 1 · Source 2

Their work examines how a defence-technology company turns a working product into a working business.

• The argument is direct: a company may have the product, engineering team, and proof in an operational environment, yet still need people who understand the customer, can open the right doors, know defence procurement and capture, build relationships with primes and strategic partners, and take the product into new markets.
• They connect this to the fast test-and-adapt cycle seen in Ukraine, where the operator gives feedback and the company adjusts, and to UK activity including British Army experiments with autonomous drone swarms and MOD access for up to 12 British companies to Avengers AI Labs battlefield data.
• A second post is a practical map, not an opinion piece: it turns a list of support organisations into a where-do-I-start guide for SMEs, routing innovators to UK Defence Innovation, supply chain entrants to the Defence Office for Small Business Growth, exporters to the MOD Defence Export Team and the SME Defence Export Faculty, and early-stage companies to the Defence and Security Seed Fund and the National Security Strategic Investment Fund.
• Pick this creator to reach defence SMEs working on go-to-market, capture, or market entry, or for a webinar panel on commercialising defence technology, where the consultancy’s offer sits alongside sales and partnerships rather than manufacturing data.

The subject matter moves away from supply chain analytics and manufacturing operations.

• There is no supply chain maturity benchmark, automation payoff argument for production efficiency, or worker-safety or plant-digitalisation example.
• The defence context is heavily UK-focused, with the Ukraine example serving as a development model rather than a procurement market.
• The posts offer advocacy and wayfinding rather than close readings of reports, and credit the original list to another source; the consultancy would be buying curation and framing rather than original analysis.
• Ask for audience size and composition to assess reach against Carly Macmeikan’s audience, and confirm sponsorship or partnership terms and availability directly.

Examples: Source 1 · Source 2

Their work argues that Defence procurement is one of the most powerful levers for whole-of-nation uplift, and that directing even a small share of spending toward genuinely Australian-owned firms builds sovereign capability, high-value jobs, local supply chains, and spillover innovation.

• They cite the Defence Dividend report for two concrete claims: modest reallocations can add billions to GDP and support tens of thousands of skilled jobs, and Australian-owned primes and SMEs deliver up to 57% more return per dollar than foreign-owned subsidiaries because profits, intellectual property, decision-making, and reinvestment stay onshore.
• They state plainly that this is not protectionism or nationalism, a useful framing for a consultancy selling into a sovereign-capability conversation.
• A second post makes the resilience argument in terms teams can apply: Australia holds 36 days of petrol, 34 days of diesel, and 32 days of jet fuel; two active refineries produce less than 20% of what is needed, and the rest arrives just in time.
• From there, they argue that lean efficiency strips out redundancy, which resilience requires, then ask two practical questions about cross-training people and maintaining personal reserve.
• Pick this creator when the consultancy wants to lead with procurement economics, industrial-base resilience, or workforce resilience, and reach a policy-adjacent rather than plant-floor audience.

This is the furthest alternative from the stated AI-in-supply-chain-resilience topic.

• Neither post discusses AI, machine learning, or supply chain analytics platforms, so a co-authored or commentary asset on AI would depend on the consultancy supplying essentially all the subject content.
• The industrial policy frame is specifically Australian, including the Commonwealth Procurement Rules, the Australian-owned firm definition, and a domestic report, which narrows where it will read as credible.
• The resilience post is a management-reflection piece rather than evidence about manufacturing systems; its fuel figures are attributed to a public statement and general supply position rather than a methodology in the post.
• Ask for audience size and seniority to compare reach with Carly Macmeikan’s, and confirm sponsorship or partnership terms and availability directly.

Examples: Source 1 · Source 2