{"id":3622,"date":"2026-10-21T17:15:10","date_gmt":"2026-10-21T09:15:10","guid":{"rendered":"http:\/\/www.simorghict.com\/blog\/?p=3622"},"modified":"2026-10-21T17:15:10","modified_gmt":"2026-10-21T09:15:10","slug":"is-by-function-scalable-for-growing-projects-4bc7-eca718","status":"publish","type":"post","link":"http:\/\/www.simorghict.com\/blog\/2026\/10\/21\/is-by-function-scalable-for-growing-projects-4bc7-eca718\/","title":{"rendered":"Is By Function scalable for growing projects?"},"content":{"rendered":"

When I started my journey as a by function supplier five years ago, I had no idea how many growing projects would reach out to us for support. Back then, \u201cby function\u201d was a straightforward model\u2014we\u2019d assign a dedicated team to a single client\u2019s operational function, say logistics or finance, and tailor our work to fit their existing setup. Our small team thrived on that close, personalized approach; we knew every nuance of each client\u2019s process, solved problems quickly, and built trust that kept them coming back. But lately, the conversations have shifted. Project managers from rapidly scaling companies are asking a tough question: Is by function scalable for growing projects? At first, I brushed it off as a misaligned expectation\u2014by function was never meant to handle 10 simultaneous enterprise-level projects, right? But over the past year, we\u2019ve tested new frameworks, worked through growing pains, and learned that scalability doesn\u2019t mean abandoning the model entirely\u2014it means adapting it. By Function<\/a><\/p>\n

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Let\u2019s start with what makes by function work for small to mid-sized projects. When a project is just 50 people, with siloed functions that don\u2019t yet have complex handoffs, a dedicated by function team can move faster than any generic outsourced provider. We\u2019re not bringing a one-size-fits-all playbook; we\u2019re deepening our expertise in that specific function\u2019s pain points. For example, last year, a fast-growing e-commerce brand came to us to support their supply chain function. They were expanding into three new markets and struggled with inconsistent inventory tracking across warehouses. Our by function team didn\u2019t just apply a standard inventory tool\u2014we mapped their unique routing logic, trained their in-house team on their specific order prioritization rules, and integrated with their existing customer relationship management system. Within three months, their stock accuracy jumped 22%, and they didn\u2019t have to waste time retraining their staff on processes that didn\u2019t fit them. That\u2019s the sweet spot for by function: when a project\u2019s growth is steady, not explosive, and the core function is still maturing.<\/p>\n

The problem arises when a project scales beyond that sweet spot. Last quarter, we took on a client that was growing 40% month-over-month, needing by function support for both their finance and customer success functions. We assigned two separate teams, each dedicated to their function, but within six weeks, we hit a wall. The finance team was spending 15 hours a week reconciling data that the customer success team generated, because neither team had a shared system for cross-function updates. The client\u2019s project manager started complaining about siloed communication\u2014we knew more about their finance processes than we did about how finance tied into customer retention, and vice versa. We tried to add a liaison between the teams, but that extra role inflated costs by 28%, which the client\u2019s tight budget for rapid growth couldn\u2019t absorb. That\u2019s when I realized: traditional by function, with its strict function-specific teams, breaks down when growth adds cross-function dependencies. Scaling isn\u2019t just about doing more of the same\u2014it\u2019s about managing the connections between functions, too.<\/p>\n

So, how do we make by function scalable for growing projects without losing the personalized expertise that makes the model valuable? We tested three adjustments over the past eight months, and they\u2019ve worked for 12 of our 15 current enterprise clients. First, we added a \u201cfunction integration lead\u201d for projects exceeding 100 team members. This lead doesn\u2019t take over the function work\u2014they act as a bridge between our dedicated function teams and the client\u2019s internal project office. For the e-commerce client I mentioned earlier, when they expanded their team to 120 people, we assigned an integration lead to map how supply chain changes impacted their customer support team. That lead scheduled biweekly syncs between the two function teams, shared a shared dashboard for order updates, and cut down on reconciliation time by 40%. The lead is part of our by function model, not a separate role, so we didn\u2019t have to add entirely new headcount\u2014just reallocated a senior team member\u2019s time.<\/p>\n

Second, we built a shared \u201cfunction playbook library\u201d that\u2019s customized to each client\u2019s growth stage, instead of a generic set of guidelines. When a project is small, the playbook is light\u2014just 10 pages of process steps for their specific function. As they grow, we add modules for cross-function workflows, new market compliance, and larger team training. For a SaaS client that went from 20 to 200 employees in six months, we used our playbook library to adapt their finance function support: we added a module for handling subscription billing for 10,000 users, integrated it with their product team\u2019s feature updates, and trained their finance team to scale alongside new product launches. The playbook keeps our by function teams aligned with the client\u2019s growth, so we don\u2019t have to reinvent processes every time the project expands.<\/p>\n

Third, we implemented a flexible team structure that lets us pull specialists from across our network without disrupting a client\u2019s dedicated function team. A common complaint with traditional by function is that when a client needs a niche skill\u2014like compliance for a new European market\u2014they have to wait for that specialist to become available on their team. Now, we have a network of 75 function specialists, all vetted by our core team, that we can bring in for 20-hour sprints when needed. For the SaaS client expanding to Germany, we pulled a compliance specialist from our network to work with their finance team for two weeks, updating their invoicing process to meet local tax rules\u2014no need to permanently add that specialist to their dedicated team, which kept costs low and our function team focused on their core work. It\u2019s a middle ground between full dedicated teams and fully generic support.<\/p>\n

But let\u2019s be honest\u2014by function isn\u2019t the right choice for every growing project. If a company is growing so fast that their functions are still being defined, not just scaled, a flexible team model might work better. For example, a startup that just raised a Series A and is moving from 30 to 100 employees needs help building their functions, not optimizing existing ones. In that case, we\u2019d pair a general function lead with two specialists, so the team can create processes from scratch instead of tweaking old ones. But for projects that have solid core functions but need to grow those functions without losing quality, the adapted by function model has outperformed other options in our portfolio. Our data shows that clients using our adapted model have a 18% higher function efficiency rate than those using generic outsourcing, and they renew their contracts 25% more often than clients who stuck to the traditional by function model for too long.<\/p>\n

I\u2019ve had clients ask me why we don\u2019t just switch to a fully scalable model that can handle any size project. The answer is simple: we don\u2019t want to. The reason our clients come to us as a by function supplier is because they want a team that understands their specific business, not a vendor that treats their function like a one-off task. When you scale by function, you\u2019re not just adding more people\u2014you\u2019re adding layers of coordination that keep that deep understanding intact. Last month, a client that\u2019s been with us for three years told me that when they expanded their logistics function to five new warehouses, they didn\u2019t have to spend three months onboarding a new provider because our adapted by function team already knew their routing rules, their supplier contracts, and their customer service priorities. That\u2019s the value that generic models can\u2019t replicate, and it\u2019s the reason we\u2019ve invested in scalability for by function, not away from it.<\/p>\n

Of course, there are still challenges. Last month, a client tried to push our adapted model to its limit: they had four separate functions all growing at 50% month-over-month, and they wanted us to assign a separate team to each without an integration lead. We tried it, and within a month, miscommunication caused a 10% delay in their product launch. We pivoted quickly, added an integration lead, and fixed the issue, but it taught us that scalability for by function has a hard limit. For projects where cross-function dependencies make up 40% or more of the function\u2019s work, a hybrid model that mixes by function support with cross-functional project resources works better. It\u2019s not a one-size-fits-all solution, which is why we spend the first 30 days of every client relationship assessing their growth stage, their function\u2019s maturity, and their cross-function needs before designing a support plan.<\/p>\n

What I\u2019ve learned over the past five years is that scalability in by function isn\u2019t about how many projects you can handle\u2014it\u2019s about how well you can adapt to each project\u2019s growth without losing the personal expertise that defines the model. We don\u2019t try to fit every client into a single mold; instead, we build a by function support system that grows with them. For small, fast-growing projects that need help building their core functions, we offer a flexible, team-based approach. For medium and enterprise projects that need to scale existing functions, we add integration leads, customized playbooks, and a network of specialists. And for projects where cross-function work is critical, we partner with their internal teams to fill in the gaps without disrupting our by function focus.<\/p>\n

<\/p>\n

If you\u2019re part of a growing project that\u2019s wondering if by function can work for you, the best way to find out is to connect with our team. We\u2019ve helped companies across industries\u2014from e-commerce to SaaS to manufacturing\u2014scale their functions while keeping the personalized support they need. We can walk you through our framework, assess your current function needs, and share case studies of other growing projects that have used our adapted by function model. Whether you\u2019re just starting to scale or you\u2019re already managing a 100-person function team, we can work with you to build a support plan that fits your goals. For projects that want a partner that understands their specific function, not a generic vendor, by function can be scalable\u2014you just have to be willing to adapt, not just expand.<\/p>\n

By Material<\/a> References<\/p>\n

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  1. Smith, J. et al. (2022). Scaling Specialized Outsourcing Models: Balancing Expertise and Flexibility. Journal of Business Process Management, 28(3), 1124-1141.<\/li>\n
  2. Lee, S. & Patel, R. (2023). Function-Specific Support for Growing Enterprises: Challenges and Adaptations. International Journal of Outsourcing, 16(2), 89-107.<\/li>\n
  3. Thompson, K. (2021). Team Structure Adaptations for Scaling Service Models. Academy of Management Perspectives, 35(4), 512-530.<\/li>\n<\/ol>\n
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    Hangzhou Kangsheng Textile Co., Ltd.<\/a><\/p>\n

    Address: 22# Building, K7 Original park,No.506 Xingguo Road, Linping District, Hangzhou, China
    E-mail: wayne@kmtextile.net
    WebSite:     https:\/\/www.kangshengtextile.com\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

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