Choosing the Right Grant Management Approach: Off-the-Shelf vs Custom Build

A practical framework for funders deciding between configurable grant management platforms and custom-built systems, covering cost, risk, and long-term fit.

By Plinth Team

For the vast majority of UK funders, a configurable off-the-shelf grant management platform will outperform a custom-built system on cost, speed to deployment, and long-term reliability. That is not a controversial claim — it is a reflection of how the market has matured. UK charitable foundations distributed a record 8.2 billion pounds in grants in 2023-24 (UKGrantmaking, 2024), and the platforms serving those funders have evolved to handle everything from eligibility screening and assessor workflows to payment schedules and impact reporting without requiring a single line of bespoke code.

Yet the "build vs buy" question persists, often resurfacing when a funder encounters a workflow that feels unique, a data structure that does not quite fit, or an integration requirement that no vendor seems to support. These are legitimate concerns. The mistake is not in asking the question — it is in underestimating what "custom" actually costs once you account for ongoing maintenance, security patches, staff turnover, and the opportunity cost of diverting attention from your core mission of distributing funds effectively.

This guide provides a structured framework for making the decision, grounded in real costs and practical trade-offs rather than vendor marketing or theoretical ideals.


Why Does the Build vs Buy Question Keep Coming Up?

The question recurs because funders often conflate two distinct problems: "Does a platform exist that can do what we need?" and "Can we configure an existing platform to match our exact current process?" The first question usually has a clear answer — yes, for the vast majority of grantmaking workflows. The second is subtler, because it assumes that your current process is the right one.

According to the Charity Digital Skills Report 2025, 67% of charities cited squeezed organisational finances as a barrier to digital progress, and 63% struggled to find funds for infrastructure, systems, and tools (Charity Digital Skills Report, 2025). In that context, committing to a custom build is a significant resource allocation decision that needs to be weighed against the opportunity cost of not investing in other areas.

Three scenarios commonly trigger the conversation:

A legacy system is being retired. The old system was bespoke, so the assumption is that the replacement must be too. In practice, the original system was often custom-built because no suitable products existed at the time — a constraint that rarely applies today.

A specific workflow feels unique. A funder may have a multi-stage assessment process involving external reviewers, internal panels, and board sign-off. This feels bespoke, but it is actually a common pattern that most mature platforms support through configurable workflows.

An integration requirement seems complex. Syncing data with Salesforce, a finance system, or a CRM can appear to demand custom development. In reality, most established platforms offer API access and pre-built integrations for the most common tools. Plinth, for example, includes a configurable Salesforce integration that maps fields without custom code.

The key insight is that "unique" and "unsupported by off-the-shelf software" are not the same thing. Before deciding to build, exhaust the configuration options of existing platforms.


What Does Off-the-Shelf Actually Mean in 2026?

The term "off-the-shelf" can be misleading. It suggests a rigid, one-size-fits-all product. Modern grant management platforms are better described as configurable — they provide a structured framework that funders tailor to their needs without writing code.

A good configurable platform typically offers:

  • Custom application forms built through a drag-and-drop editor, with conditional logic, file uploads, and eligibility screening
  • Configurable assessment workflows supporting multiple reviewer stages, scoring criteria, and panel tools
  • Automated due diligence checks against registers such as the Charity Commission, Companies House, and OFSI sanctions lists
  • Grant agreement generation with digital signatures and payment schedule management
  • Monitoring and reporting with structured data collection, outcome tracking, and automated reminders
  • Role-based permissions controlling who can view, edit, and approve at each stage
  • Data export and API access for integration with other systems

This level of configurability means that most funders can match their existing processes — or improve upon them — without any custom development. According to the Charity Digital Skills Report 2024, 61% of charities were already using AI tools in their day-to-day operations, a figure that rose to 76% in 2025 (Charity Digital Skills Report, 2024; 2025). The expectation that technology should adapt to you, rather than the other way around, is now mainstream.

Tools like Plinth go further by incorporating AI into the assessment workflow. Plinth's built-in AI assistant, Pippin, reads uploaded documents, categorises them automatically, runs diligence checks against the content, and drafts summaries for assessors. These are features that would cost hundreds of thousands of pounds to replicate in a custom build — and they are available immediately, with no development lead time.


When Is a Custom Build Genuinely Justified?

Custom development makes sense in a narrow set of circumstances. If any of the following apply, a bespoke component — not necessarily a full bespoke system — may be warranted:

Highly unusual data models. If your grantmaking involves structures that no existing platform supports — for example, a research programme tracking longitudinal outcomes across multiple cohorts with complex relational data — you may need a purpose-built data layer. This is rare outside academic and government research contexts.

Sector-specific regulatory integrations. Some funders operate under regulatory frameworks that require integration with systems unique to their sector. A healthcare funder, for instance, might need to pull data from NHS Digital or validate against CQC registration. If no platform offers this integration, a custom connector may be needed.

Strict on-premise or air-gapped requirements. A small number of funders — typically those handling national-security-adjacent work — require systems that run entirely on their own infrastructure with no cloud component. This rules out most SaaS platforms, though the number of funders with this genuine requirement is very small.

Scale that breaks per-user pricing. Some very large funders processing tens of thousands of applications per year may find that per-user or per-application SaaS pricing becomes prohibitive at scale. In these cases, a custom solution or a negotiated enterprise licence may offer better value. However, this threshold is higher than most funders assume.

Even in these scenarios, the recommended approach is a hybrid: use an off-the-shelf platform for the core grant lifecycle and build custom components only at the edges, connecting them via API. This preserves the maintainability and security benefits of a managed platform while addressing genuine unique requirements.


How Do the Costs Actually Compare?

The most common mistake in build vs buy analysis is comparing the licence fee of a SaaS platform against the development cost of a custom system. This ignores the largest cost categories, which sit in years two through five and beyond.

Cost categoryOff-the-shelf (SaaS)Custom build
Initial setupLow to moderate — configuration, data migration, trainingHigh — requirements gathering, design, development, testing
Year 1 totalPlatform fee + implementation supportDevelopment cost (often 50,000-250,000+ pounds for a grant system)
Ongoing licence/hostingPredictable annual feeServer costs + monitoring + security patching
Maintenance and updatesIncluded in licence — vendor handles updates, security, compliance15-20% of original build cost per year for maintenance alone
Security and complianceVendor's responsibility — typically ISO 27001, SOC 2, penetration testingYour responsibility — requires dedicated expertise or contracted support
Staff dependencyLow — anyone can be trained on a commercial platformHigh — institutional knowledge concentrated in developers who built it
Feature developmentCommunity-driven roadmap — you benefit from all customers' needsEvery new feature requires budget, specification, and development time
5-year total costPredictable, scales with usageTypically 2-5x higher than initial estimate once maintenance included

Research on software total cost of ownership consistently shows that maintenance and personnel costs consume between 50% and 85% of total application costs over five years (Gartner). For a custom grant management system with an initial build cost of 150,000 pounds, that translates to 75,000-127,500 pounds in annual maintenance — meaning the five-year total could reach 525,000-787,500 pounds, compared to a typical SaaS platform costing 10,000-50,000 pounds per year.

The Standish Group's research on IT projects found that only 31% of software projects are completed successfully — defined as on time, on budget, and with the originally specified functionality. Fifty percent are "challenged" (late, over budget, or missing features), and 19% fail outright (Standish Group CHAOS Report). These are industry-wide figures, not specific to the charity sector, but they underscore the inherent risk of custom development.


What About Vendor Lock-In?

Vendor lock-in is the most frequently cited objection to off-the-shelf platforms, and it deserves honest treatment. The concern is real: if you build your entire grant operation on a platform that later raises prices, degrades quality, or shuts down, you could face a painful and expensive migration.

However, the risk of vendor lock-in needs to be weighed against the risk of developer lock-in — the equivalent problem with custom systems. When a bespoke system is built by a small development team (or a single contractor), the knowledge of how it works, how to fix it, and how to extend it lives with those individuals. If they leave or their agency folds, you are locked in to a system that nobody else fully understands. This is arguably a more dangerous form of lock-in because there is no alternative vendor to migrate to; you must find someone willing to reverse-engineer an undocumented codebase.

To mitigate vendor lock-in with an off-the-shelf platform:

  • Confirm data export capabilities before signing. Any reputable platform will provide full data export in standard formats (CSV, JSON, or via API). Plinth offers comprehensive data export and migration support as a standard feature.
  • Check that the platform uses open data standards where possible, making migration to another system feasible.
  • Review the contract terms for notice periods, data retention after termination, and any costs associated with leaving.
  • Avoid platforms that store data in proprietary formats with no export path — this is a genuine red flag.

The practical reality is that switching grant management platforms is disruptive but achievable. Switching away from a failing custom system is often far harder, because there is no vendor to negotiate a transition with — just an abandoned codebase.


How Should You Evaluate Off-the-Shelf Platforms?

If you have concluded that an off-the-shelf platform is the right approach — as it will be for most funders — the next challenge is choosing between the available options. The UK market now includes several mature platforms, each with different strengths.

A structured evaluation should cover five areas:

1. Functional fit. Does the platform support your grant lifecycle end to end? Map your process — from application design and eligibility screening through assessment, award, monitoring, and close-out — and check each stage against the platform's capabilities. Pay particular attention to assessment workflows, as this is where platforms differ most.

2. Due diligence and compliance. For UK funders, automated checks against the Charity Commission register, Companies House, and sanctions lists are essential. Some platforms offer these natively; others require manual checks or third-party add-ons. Plinth runs these checks automatically and includes AI-powered document review that categorises uploaded documents and flags potential issues.

3. Applicant experience. The best system in the world is useless if applicants cannot navigate it. Test the application process yourself — from the applicant's perspective — and ask existing grantees for their honest feedback on the experience. The applicant experience is a critical but often overlooked evaluation criterion.

4. Reporting and learning. Can the platform answer portfolio-level questions? How much of your funding went to organisations in deprived areas? Which types of intervention produced the strongest outcomes? What is your average time from application to payment? If the platform cannot surface these insights without manual data extraction, it is not delivering full value.

5. Support and roadmap. A platform is a long-term relationship. Ask about the vendor's support model, update frequency, and product roadmap. Check whether the roadmap is shaped by user feedback — platforms that evolve based on their customer community tend to solve real problems faster than those driven by a single product vision.


What Does a Hybrid Approach Look Like?

For funders whose needs sit between "everything configurable" and "everything custom," a hybrid approach offers the best of both worlds. The principle is simple: use an off-the-shelf platform for the core grant lifecycle, and build custom components only for the specific capabilities that the platform genuinely cannot provide.

In practice, this usually means:

  • Core grant lifecycle on a managed platform. Applications, assessments, agreements, payments, and monitoring all run through the platform. This covers 80-95% of your workflow and benefits from the vendor's ongoing investment in security, compliance, and feature development.
  • Custom integrations at the edges. If you need to sync data with a specialist database, pull information from a sector-specific register, or push award data into a bespoke finance system, build a connector using the platform's API. This is a much smaller and more manageable project than building an entire grant management system.
  • Custom reporting or analytics. If your board requires reports in a specific format or you need to run analyses that the platform's built-in reporting does not support, build a reporting layer that pulls data from the platform via API or export.

This approach limits the scope and risk of custom development while preserving flexibility. A well-designed API integration might cost 5,000-20,000 pounds to build — a fraction of a full custom system — and can be maintained by a single developer or a small agency.

The key disciplines in a hybrid model are:

  1. Document what is custom and why. Future team members need to understand which components are standard and which are bespoke.
  2. Keep custom components loosely coupled. If the platform changes its API, your integration should be easy to update without rebuilding everything.
  3. Budget for maintenance. Custom integrations need ongoing attention — API versions change, data formats evolve, and requirements shift.

What Are the Common Mistakes?

Having worked with funders across the spectrum, several patterns consistently lead to poor outcomes:

Building custom because of one unusual requirement. A single workflow that does not fit perfectly is not a reason to build an entire system from scratch. Find a platform that covers 90% of your needs and handle the remaining 10% through a workaround, a manual process, or a small custom integration.

Underestimating ongoing costs. The hidden costs of manual grant management are well documented, but the hidden costs of custom software are equally significant. Budget 15-20% of the original build cost per year for maintenance, and assume that major upgrades will be needed every three to five years.

Choosing based on sticker price alone. The cheapest platform or the lowest development quote almost never represents the best value over five years. Focus on total cost of ownership, including implementation, training, support, and the cost of your team's time.

Not involving end users. Grant officers, assessors, and applicants all interact with the system differently. A decision made by a CTO or finance director without input from the people who will use the system daily is likely to optimise for the wrong things.

Skipping the pilot. Before committing to any approach — custom or off-the-shelf — run a genuine pilot with real data, real users, and a real grant round. This is the single most effective way to identify problems before they become expensive. The Charity Digital Skills Report consistently highlights capacity constraints as a key barrier to digital adoption, making it especially important to test whether your team can actually operate the system alongside their existing workload.


How Do You Make the Decision?

Use a structured decision framework to move from instinct to evidence:

Step 1: Map your requirements. List every step in your grant lifecycle. For each, note whether it is standard (most funders do this), unusual (some funders do this), or unique (only you do this). Be honest — most "unique" requirements turn out to be unusual at best.

Step 2: Score platforms against your requirements. Rate each requirement as "native," "configurable," "workaround," or "unsupported." If 90% or more are native or configurable, an off-the-shelf platform is the right choice.

Step 3: Cost the alternatives over five years. Include licence fees, implementation, training, and integrations for SaaS. For custom, add 15-20% annual maintenance, hosting, security, and internal staff time. Compare honestly.

Step 4: Assess risk. What happens if the vendor goes out of business (you migrate with exported data) versus your development team leaves (you inherit an undocumented codebase)?

Step 5: Run a pilot. Test your preferred option with a real but low-stakes grant round, gather feedback from all user groups, and decide based on evidence.

For most UK funders, this process will confirm that a configurable platform — with targeted custom integrations where genuinely needed — is the most practical and sustainable approach to grant management.


FAQs

Can we start with a platform and switch to custom later if it does not work?

Yes, and this is generally the lower-risk path. Starting with a configurable platform gives you a working system quickly, generates real usage data that informs future decisions, and preserves your budget. If specific gaps emerge, you can build targeted integrations via the platform's API rather than replacing the entire system.

How long does it take to implement an off-the-shelf grant management platform?

Most configurable platforms can be operational within four to twelve weeks, depending on the complexity of your forms, workflows, and data migration. A custom build typically takes six to eighteen months before it is ready for live use, and that timeline frequently extends due to scope changes and unforeseen technical challenges.

What if our team does not have technical skills?

This is actually an argument in favour of off-the-shelf platforms, which are designed to be configured by programme staff rather than developers. Platforms like Plinth provide no-code form builders, workflow configuration tools, and built-in support for common tasks like due diligence checks and assessor management. A custom system, by contrast, requires ongoing developer involvement for even minor changes.

How do we handle data migration from our current system?

Most platform vendors provide migration support, including data mapping templates and import tools. The critical step is exporting your existing data in a structured format — CSV is usually sufficient — before your current system is decommissioned. Plan to run both systems in parallel for at least one grant round during the transition.

Is a custom build ever cheaper than a platform subscription?

In rare cases involving very large scale (tens of thousands of applications per year) and very long time horizons (ten years or more), a custom build can be cheaper on a per-transaction basis. However, this calculation only works if you have the internal capacity to maintain the system indefinitely and can absorb the risk of developer turnover. For the vast majority of UK funders, the predictable costs of a SaaS platform represent better value.

What questions should we ask vendors during evaluation?

Focus on five areas: data export capabilities (can you leave if you need to?), security certifications (ISO 27001, penetration testing), customer references from similar UK funders, the product roadmap process (is it user-driven?), and total cost including implementation and training. Ask vendors to demonstrate your specific workflow, not a generic demo.

Should we involve our IT team in the decision?

Yes, but IT should advise, not dictate. The primary users of a grant management system are programme officers and assessors, not IT staff. Involve IT to evaluate security, integration requirements, and data protection compliance, but ensure the final decision is led by the people who will use the system daily.

How does AI change the build vs buy calculation?

AI significantly tilts the calculation toward off-the-shelf platforms. Building AI features — such as automated document categorisation, application summarisation, or AI-assisted due diligence — from scratch requires specialist expertise and substantial ongoing investment. Platforms like Plinth embed AI throughout the grant lifecycle, from Pippin's automated document review and diligence checks to AI-drafted feedback for applicants. Replicating these capabilities in a custom build would cost many times the annual platform fee.


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Last updated: February 2026