Early Years Cocoon C.I.C. is a community organisation in the London Borough of Barking and Dagenham. It supports local families through early years, parenting and family wellbeing work. Its approach is preventative rather than reactive, relational rather than transactional, and open to all rather than gatekept.
Like most grassroots organisations, it is high quality but lean. A small team carries the delivery, the relationships and the fundraising, with little spare capacity for the repeated, time-consuming work that applying for grants demands. Its funders include the National Lottery Community Fund, through its Reaching Communities England programme, and City Bridge Foundation, the latter among its largest active supporters.
Early Years Cocoon is also where the Grant Resource Studioâ„¢ method was developed and first proven. David Lema, who leads Grant Resource Studioâ„¢, also leads Early Years Cocoon's fundraising, and built the approach from the inside before offering it to other organisations.
Early Years Cocoon did not lack stories, evidence or impact. It had years of real work behind it. The problem was that the knowledge behind its funding sat scattered across past applications, monitoring spreadsheets, reports, emails and the memories of a few key people.
Every new application meant rebuilding the same case under time pressure. Wording that had worked before was hard to find. Evidence of need lived in one document, outcomes in another, beneficiary numbers in a third.
The result was the pattern almost every small organisation will recognise: applications took too long, messaging drifted from one funder to the next, strong material was rewritten rather than reused, and when a deadline was tight, the quality of the bid depended on who happened to be available and what they could remember.
Over more than a year, Early Years Cocoon built a structured Funding Knowledge Base, a single, maintained home for the knowledge funders ask for again and again. The work followed the Grant Resource Studioâ„¢ method, organised around three building blocks.
How the organisation operates, who it supports, its Theory of Change, outcomes logic, delivery model, values, voice and partnerships, all captured in one place and kept current.
Evidence of need, activities, beneficiaries, outcomes, impact, measurement and evaluation, track record and added value, each held as a reusable module rather than buried inside old bids.
Strong, proven language captured so it can be found and adapted instead of rewritten. Funder preferences, application history and recurring questions stored alongside the material.
A specific strategic shift happened in how the work was described. Activities stopped being framed as a timetable of sessions and were reframed as what they actually are: relational environments that improve child development, parental wellbeing and community connection. That change strengthened how the organisation made its case, because it connected what Early Years Cocoon does to the outcomes funders care about.
Finally, an orchestration layer was added on top: a simple set of rules for tone, structure and how the modules combine. This was not an AI tool or a prompt library. It was the knowledge foundation beneath AI-assisted drafting. Once the Funding Knowledge Base existed, AI could draw on Early Years Cocoon's real evidence, approved language and organisational voice rather than producing generic filler. The organisation was no longer staring at a blank page; it was assembling a bid from material it had already refined.
- Around £1.3M secured across 79 grants over close to eight years, including a major grant won at the start of the year 2026.
- In the roughly eighteen months since the knowledge base became operational at the start of 2025, Early Years Cocoon has secured about 52 per cent of all the grant income in its history, with the remaining 48 per cent spread across the previous six and a half years.
- Time to prepare an application down from 10 to 20 hours to 3 to 6 hours.
- Funder reporting time reduced by 50 to 70 per cent.
- Small and medium grants won consistently, drawn from the same structured evidence base rather than rebuilt from scratch each time.
Knowledge that used to live in a few people's heads is held in a structure the whole team can use, which matters when staff change or capacity is stretched.
Every application and AI-assisted draft draws on the same agreed evidence and language, so messaging no longer drifts from one funder to the next.
Every application now strengthens the knowledge base for the next one, so the work compounds over time instead of being repeated.
"From a fundraising perspective, the improvement has been very clear. We have now passed the £1.3 million mark in funding secured, including a major grant at the start of this year. The quality of our applications has improved a great deal over time. In the early days they would come back needing substantial revision. Now the first draft is often very close to final, because the information, structure and language are much stronger from the start."
Founder and Executive Director, Early Years Cocoon C.I.C.
Early Years Cocoon's Co-Created Family Learning Through Play Programme was announced on 23 June 2026 as the winner of the Family Learning in the Early Years Award, presented by Campaign for Learning and the National Centre for Family Learning. The award was won on the strength of the programme itself - but it was the Funding Knowledge Base that made the difference in how that case was made. In a competitive field, the ability to draw on structured evidence, a consistent organisational voice and pre-approved impact data meant the entry cut through where others could not. The knowledge was always there. The knowledge base made it communicable.
Early Years Cocoon is not unusual. Most small charities, CICs and community organisations already hold much of what they need to write strong applications. What they lack is the time and the structure to organise it.
Grant Resource Studioâ„¢ helps you build that structure: a reusable Funding Knowledge Base that turns scattered information, Theory of Change, evidence, past responses and funder intelligence into a funder-ready asset you own and maintain. Future applications, reports and funder communications then become faster, more consistent and better grounded in your own evidence. AI-assisted drafting also becomes more useful because it can work from real organisational context rather than a blank prompt.
The starting point is grant readiness, not AI novelty. This is not an AI tool; it is the knowledge foundation that makes applications and AI-assisted drafting more useful.
Turn scattered knowledge into a funder-ready foundation your team can reuse, improve and grow.
How a grassroots community organisation in Barking and Dagenham built the Funding Knowledge Base that made grant applications faster, reporting easier and AI-assisted drafting genuinely useful.