How to Future-Proof Your Grantmaking

The grant management software market was valued at approximately USD 2.75 billion in 2024 and is projected to reach USD 4.79 billion by 2030, growing at a compound annual growth rate of 10.3% (Grand View Research, 2025). That growth reflects a sector in transition: funders are moving from paper and spreadsheets to digital platforms, from rigid processes to configurable workflows, and from siloed data to shared standards. But not every technology investment ages well. Funders who chose platforms five or ten years ago are now discovering that their systems cannot adapt to new reporting requirements, integrate with new tools, or export data in formats that other systems can read.

Future-proofing is not about predicting what grantmaking will look like in 2030. It is about building foundations -- in your data, your workflows, and your team's capabilities -- that can adapt regardless of what changes. The funders who will navigate the next decade most effectively are not the ones with the most expensive technology. They are the ones whose systems are flexible enough to change when circumstances demand it.

This guide sets out practical strategies for building resilient grantmaking operations. It covers data portability, workflow design, vendor selection, AI readiness, team capability, and governance -- with specific steps you can take regardless of your organisation's size or current level of digital maturity.

Why Does Future-Proofing Matter for Funders?

The urgency is real and measurable. The Charity Digital Skills Report 2025 found that only 44% of UK charities have a digital strategy in place, down from 50% in 2024, and that digital skills among staff and volunteers remain a barrier for 40% of organisations. Over two-thirds of small charities report being at the earliest stages of digital maturity. For funders, this means the organisations you work with -- and your own operations -- are at risk of falling behind as the sector's expectations evolve.

Three forces are driving the need for resilient grantmaking infrastructure.

Regulatory expectations are increasing. The Charity Commission's updated Charity Digital Code of Practice (2025) now includes stronger guidance on artificial intelligence, data governance, and digital risk management. Trustees are expected to demonstrate that their charity's digital systems are fit for purpose and that data is handled responsibly. A grantmaking system that cannot adapt to new compliance requirements becomes a governance liability.

Sector standards are maturing. Over 300 funders now publish their grants data using the 360Giving Data Standard, contributing to a dataset representing more than 1 million grants worth over GBP 300 billion (360Giving, 2025). Funders whose systems cannot export data in standardised formats are increasingly out of step with sector expectations around transparency and accountability.

Technology is changing faster than procurement cycles. The rise of AI in the charity sector has been rapid: 76% of charities now use AI tools in their daily work, up from 61% in 2024, and 48% are developing an AI policy, up from 16% in 2024 (Charity Digital Skills Report, 2025). Grant management platforms that cannot incorporate AI capabilities will quickly feel dated.

The cost of inaction is not theoretical. Funders locked into inflexible systems face mounting technical debt: manual workarounds, data trapped in proprietary formats, and processes that cannot scale. The longer you wait to address these foundations, the more expensive the eventual migration becomes.

What Does Vendor Lock-In Look Like in Grantmaking?

Vendor lock-in occurs when switching to an alternative platform becomes prohibitively expensive or disruptive. In grantmaking, it typically manifests in three ways: data lock-in, process lock-in, and contractual lock-in.

Data lock-in is the most common and most damaging. If your grant management system stores data in proprietary formats and offers only limited export options -- or charges additional fees for data extraction -- your organisation's institutional knowledge is effectively held hostage. When funders attempt to migrate away from such systems, they frequently discover that years of application data, assessment records, and outcome information cannot be extracted in a usable format.

Process lock-in happens when your workflows are so deeply customised within a specific platform that recreating them elsewhere would require significant time and expense. This is particularly common with enterprise grant management systems where implementation consultants build bespoke configurations.

Contractual lock-in involves long-term agreements, often with automatic renewal clauses and significant early termination fees, that make switching financially impractical even when the technology no longer meets your needs.

The antidote to vendor lock-in is deliberate: choose systems that treat your data as your own, store it in open formats, and allow you to export everything at any time without penalty. This should be a non-negotiable criterion in any procurement process.

How Should You Design Workflows for Adaptability?

The most resilient grantmaking operations are built on workflows that can be changed by programme staff, not just developers. This means prioritising configurability over customisation.

Configurability means your team can adjust forms, scoring criteria, monitoring templates, and approval routes through a user interface -- changing dropdown options, adding questions, reordering stages -- without writing code. Customisation means a developer builds bespoke features for you, which then require developer time to modify. Both have their place, but over-reliance on customisation creates brittleness.

ACF's Foundations in Focus 2025 report found that UK charitable foundations increased their grantmaking to a record GBP 8.24 billion in 2023-24, with many foundations reviewing their strategies and shifting toward longer-term, flexible funding. Those strategic shifts require corresponding operational flexibility. A funder that decides to introduce a two-stage application process, add an expression-of-interest stage, or create different monitoring tiers for different grant sizes needs to implement those changes quickly -- ideally within days, not months.

Practical steps for designing adaptable workflows:

1. Map your current process end to end. Document every step from application opening to grant close-out, identifying which steps add value and which exist through habit.
2. Separate policy from process. Your funding criteria, assessment principles, and governance requirements are policy. The specific form fields, email templates, and approval sequences are process. Policy changes slowly; process should be easy to change.
3. Build in tiers from the start. Design different application and reporting pathways for different grant sizes. A proportionate process that routes a GBP 2,000 community grant through a lighter pathway than a GBP 200,000 programme grant is both fairer and more efficient.
4. Use templates you control. Application forms, scoring rubrics, and report templates should be configurable by your team. If changing a question requires a support ticket to your vendor, your workflows are not adaptable enough.

Plinth's grant management platform is designed around configurability: programme teams can build and modify application forms, design assessment workflows, set monitoring schedules, and create reporting templates without developer involvement. Forms are built using a drag-and-drop flow builder, and different programmes can operate with entirely different configurations within the same platform.

What Makes Data Truly Portable?

Data portability means you can extract all of your organisation's data -- in a structured, readable format -- at any time, and use it in another system without significant manual re-entry. It is the single most important factor in avoiding vendor lock-in and ensuring long-term resilience.

Truly portable data has four characteristics:

Structured and machine-readable. Data stored in CSV, JSON, or XML formats can be imported into virtually any other system. Data trapped in PDF reports, proprietary databases, or platform-specific formats is functionally non-portable.

Complete. Portability means all your data, not just a summary. Applications, assessments, scores, reviewer comments, award records, monitoring reports, correspondence, and financial data should all be exportable.

Documented. Exported data is only useful if someone can understand what it contains. Clear field labels, data dictionaries, and consistent naming conventions make migration feasible. Without documentation, even well-structured data becomes a puzzle.

Available on demand. If you need to submit a support request and wait days for an export, your data is not practically portable. Self-service export -- where administrators can download data whenever needed -- is the standard to expect.

The 360Giving Data Standard provides a useful benchmark for grant data interoperability. With just 10 required fields, it demonstrates that standardised data does not require complexity. Funders publishing in this format can share, compare, and analyse their grantmaking alongside hundreds of other funders. As of early 2025, over 300 UK funders had published using the standard, collectively representing data on more than one million grants (360Giving, 2025).

Plinth provides full data export in both CSV and JSON formats. Administrators can select specific data collections -- members, events, interactions, bookings, forms, payments, partners, and volunteers -- and download them at any time, without charge and without needing to contact support. This self-service approach ensures your data is always accessible and always yours.

How Should Funders Prepare for AI?

AI adoption in the charity sector has accelerated dramatically. The Charity Digital Skills Report 2025 found that 76% of charities are now using AI tools, up from 61% in 2024. The proportion of charities developing an AI policy has tripled, from 16% to 48% in a single year. Yet 73% of charities still feel unprepared for AI, and over a third reported that their chief executive had poor AI skills, knowledge, and confidence. For funders, this creates both an opportunity and a responsibility.

Future-proofing for AI does not mean rushing to deploy it everywhere. It means building the foundations that make responsible AI adoption possible when the time is right.

Start with your data. AI is only as useful as the data it works with. If your application data is trapped in unstructured Word documents, your monitoring data lives in email attachments, and your outcome data is scattered across spreadsheets, no AI tool can extract meaningful insights. Structured, clean, consistently formatted data is the prerequisite for any AI application.

Define your governance framework. The Charity Digital Code of Practice (2025) now includes explicit prompts for AI acceptable use policies, privacy impact assessments, bias checks, and record-keeping. Establishing these governance structures now -- before you deploy AI at scale -- is far easier than retrofitting them later. IVAR's Open and Trusting Grantmaking community, which now includes over 150 funders making grants worth over GBP 1 billion annually, has emphasised the importance of transparency in how funding decisions are made, which extends naturally to any AI involvement in those decisions.

Maintain human oversight. The most effective applications of AI in grantmaking keep humans in the decision loop: AI drafts, summarises, and surfaces patterns, but people make the final calls. This principle -- sometimes called "human-in-the-loop" -- is both an ethical requirement and a practical one, since AI models can produce confident-sounding but incorrect outputs.

Choose platforms with AI capabilities built in. Retrofitting AI onto a legacy system is expensive and often unsatisfactory. Platforms designed with AI integration from the ground up can offer features like AI-assisted application drafting, automated report analysis, and portfolio-level pattern recognition as natural extensions of the core workflow.

Plinth's AI-powered grant management tools integrate AI throughout the grants lifecycle: from helping applicants draft stronger applications based on their existing data, to assisting assessors with structured summaries, to generating tailored funder reports from underlying programme data. AI is embedded within the workflow rather than bolted on, with human review at every stage.

How Do You Build a Resilient Team?

Technology is only as resilient as the people who use it. The most robust grantmaking operations invest in team capability alongside system capability.

Cross-train beyond single points of failure. If only one person in your organisation understands how your grant management system works, you have a critical vulnerability. Ensure at least two staff members can configure forms, run reports, manage user access, and perform data exports. Document key processes in simple, accessible playbooks.

Invest in ongoing digital skills. The Charity Digital Skills Report 2025 found that squeezed organisational finances (67%), lack of headspace and capacity (62%), and difficulty finding funds for infrastructure investment (63%) remain the top barriers to digital progress. These are real constraints, but even modest investment in digital skills development pays dividends. Short, regular training sessions -- 30 minutes monthly rather than a full day annually -- tend to be more effective and more achievable.

Plan for surge and succession. Grant programmes do not operate at a constant pace. Application deadlines create spikes in workload; staff leave and new staff join. Resilient operations have documented processes that a new team member can follow, clear escalation routes for problems, and capacity to bring in temporary support when volumes peak.

Create a culture of learning. Encourage staff to experiment with new features, share what works and what does not, and feed back to your technology providers. The funders that get the most value from their platforms are those that treat the platform as a living tool to be continuously improved, not a fixed installation.

What Should You Look For When Choosing a Platform?

Selecting a grant management platform is a decision you will live with for years. Getting it right means evaluating not just current features but long-term viability and flexibility.

The distinction between end-to-end platforms and point solutions matters. A point solution that handles only applications, or only reporting, creates integration challenges and data fragmentation. An end-to-end platform that covers the full grants lifecycle -- application, assessment, award, monitoring, and impact reporting -- keeps data in one place and eliminates the need to stitch together multiple systems.

Plinth is designed as an end-to-end platform with a free tier, making it accessible to funders of all sizes. It integrates with existing systems including Salesforce, supports configurable workflows for different programme types, and provides full data export without charge.

How Do You Manage the Transition to a Resilient Setup?

Moving from fragile to resilient grantmaking does not require a disruptive transformation. The most successful transitions are phased and pragmatic.

Phase 1: Audit your current state (2-4 weeks). Map your existing data, workflows, and systems. Identify where data is trapped, where processes are brittle, and where single points of failure exist. This audit is valuable regardless of whether you change platforms.

Phase 2: Secure your data (1-2 months). Export everything you can from your current systems and store it in open formats. Even if you are not migrating immediately, having a complete export of your data eliminates the most acute risk.

Phase 3: Pilot with one programme (2-3 months). Run a single grant round on a new or improved platform while maintaining existing processes for other programmes. This limits risk and provides concrete evidence for or against broader adoption.

Phase 4: Consolidate and iterate (ongoing). Migrate other programmes once the pilot is proven. Use data from early rounds to refine your forms, scoring criteria, and monitoring templates. A configurable platform makes this iteration straightforward -- changes are configuration, not development.

The Charity Commission's annual report for 2024-25 highlighted the need for charities to demonstrate responsible governance of digital systems. A well-documented migration plan, with clear data ownership and audit trails, directly supports this expectation.

What Governance Structures Support Long-Term Resilience?

Future-proofing is ultimately a governance question. Trustees have a duty to ensure that charitable resources are managed effectively, and that includes the digital infrastructure through which grants are administered.

Data ownership policy. Your organisation should have a clear, written position on who owns the data in your grant management system. The answer should always be: you do. This needs to be explicit in any contract with a technology provider and should cover what happens to your data if the provider ceases trading.

Technology review cycle. Review your grant management technology annually, not just when contracts come up for renewal. Ask: does it still meet our needs? Can we export our data? Are we using the capabilities available to us? Has the provider kept pace with sector developments?

AI use policy. With 48% of charities now developing AI policies, up from 16% in 2024, this is rapidly moving from optional to expected. Your policy should cover what AI is used for, what data it accesses, how decisions involving AI are reviewed, and how you communicate AI use to applicants and grantees.

Business continuity planning. What happens if your platform goes offline? If your provider is acquired or shuts down? Having recent data exports, documented processes, and a tested fallback plan ensures continuity regardless of what happens to any single vendor.

Standards commitment. Committing to publish data using the 360Giving Data Standard, and to comply with sector guidance from IVAR, ACF, and the Charity Commission, provides a framework for consistent, accountable grantmaking practice. These standards evolve over time, and your systems need to evolve with them.

Frequently Asked Questions

Do we need a multi-year technology roadmap?

Not necessarily. A heavy, detailed roadmap risks becoming outdated quickly. Instead, focus on principles: data must be portable, workflows must be configurable, staff must be trained, and AI must be governed. Review annually and adjust based on what has changed in your operating environment and in the technology landscape.

How do we avoid vendor lock-in without building everything in-house?

Choose platforms that export all data in open formats (CSV, JSON), that allow configuration without developer involvement, and that offer reasonable contract terms without punitive exit clauses. You do not need to build your own system. You need to choose a vendor that treats your data as yours. Plinth, for example, provides full self-service data export at any time.

Can small grant-making teams realistically future-proof their operations?

Yes. Future-proofing does not require a large team or a large budget. Start with three steps: export your current data and store it securely, document your key processes in simple written playbooks, and ensure at least two people understand how your systems work. These steps cost very little and significantly reduce your risk.

What is the 360Giving Data Standard and should we use it?

The 360Giving Data Standard is a set of common fields for describing grants data, enabling funders to publish their grants openly and consistently. Over 300 UK funders now use it, and the resulting dataset covers more than one million grants. If you make grants in the UK, publishing in this standard is increasingly considered best practice. It demonstrates transparency and enables sector-wide analysis.

How do we evaluate whether our current platform is future-proof?

Run a simple test: can you export all your data -- applications, assessments, awards, monitoring reports, financial records -- in CSV or JSON format, right now, without contacting your vendor? If the answer is no, your platform has a data portability problem. Also check whether your team can modify forms and workflows without developer help, and whether the platform has any AI capabilities or a credible plan to add them.

Is AI in grantmaking safe to adopt now?

AI tools for grantmaking are maturing rapidly, but responsible adoption requires governance. Use AI for tasks where errors can be caught -- drafting, summarising, pattern recognition -- rather than for autonomous decision-making. Ensure human review at every stage. Establish an AI use policy before deploying tools, and be transparent with applicants and grantees about how AI is used in your processes.

What happens to our data if our platform provider shuts down?

This depends entirely on your contract and your data export practices. If your contract includes a data portability clause and you perform regular exports in open formats, a provider shutdown is disruptive but not catastrophic. If your data is locked in a proprietary system with no export capability, it is a serious risk. Ask the question explicitly during procurement.

How often should we review our grantmaking technology?

At minimum, annually. Align the review with your annual planning cycle. Assess whether the platform still meets your needs, whether you are using its capabilities fully, whether data export and portability remain satisfactory, and whether the provider is keeping pace with sector developments such as AI integration and standards compliance.

Recommended Next Pages

• Modernising Grantmaking: From Paper to Platforms -- How funders are transitioning from manual processes to digital grant management
• Essential Features to Look for in Grant Software -- A detailed feature comparison for funders evaluating platforms
• What Is AI for Charities? -- Foundational guide to how AI is being used across the charity sector
• Reducing the Burden on Grant Applicants -- Practical approaches to proportionate applications and reporting
• Audit Trails in Grant Software -- Why governance and record-keeping matter for every funder

Last updated: February 2026