More time for the mission. Less time on the admin.
Non-profits, foundations and community organisations run on small teams and many tools. We help you decide where AI is worth using, build assistants over your own documents, automate the repetitive work around reporting, intake and enquiries, and connect the systems you already use. A person approves anything that matters before it goes out.
Sound familiar?
This page is for programme leads, operations managers and directors at non-profits, foundations, social enterprises and community organisations.
Typically
- Organisations that report to several funders in several formats from the same underlying records
- Teams whose intake, case notes or beneficiary records live in forms, spreadsheets and email
- Small staffs where one person is the finance, operations and IT department
- Teams that want to know whether AI is worth it at all, and where to start
Where we can help.
Each starts as a bounded project, phased if staff time is limited. Which actions wait for a person is agreed before it starts.
Where AI is worth it
A short readiness assessment of your processes, records and priorities, ending with a prioritised roadmap and a scoped first pilot.
Funder and board reporting
Activity logs, attendance sheets, finance exports and case notes assembled into each funder’s template, with a note on where each number came from. Anything the records cannot support is marked, not filled in.
Intake, enquiries and case records
Forms, emails and documents read and the agreed fields extracted; enquiries sorted with drafted replies a person approves. Uncertain items are flagged for review rather than guessed.
Answers from your own documents
An assistant for staff and volunteers over approved policies, guides and programme documents, showing which sources each answer used.
Connecting the tools you use
Forms, spreadsheets, donor or CRM records and finance exports connected, so the same information is not typed in twice.
Websites and management software
Since 2008 we have built the software organisations depend on, including school and library management systems and websites.
What we need from you
- A description of one process that costs your team time: what happens today and where the information comes from
- Clarity on who is allowed to see what, so permissions can be built in from the start
- A named person who can review results, for an hour or two a week during the pilot
What you get
- A scoped first project on the process that costs the most staff time (an assessment, a pilot or a build), phased if staff availability is limited
- Data handling agreed in scope: where data is processed, who can see it, how long it is kept, and confirmation that it is not used to train models
- An evaluation report you can share with your board or funder
- A handover your own team can operate
After launch: who does what.
An operating guide names the owner, the review queue, the accounts involved and what to do when something fails.
Blend
- Support hours agreed in writing
- Monitoring of exceptions and running costs
- Changes scoped and quoted
Your team
- A named reviewer who approves results before they go out
- Someone who keeps the source records and access current
Before we begin.
Does Blend work with non-profits and mission-led organisations?
Yes. The same scoped approach applies, starting with the process that costs the most staff time, whether that is reporting, intake, enquiries or finding information. Scope can be phased to fit limited staff availability.
Will our data be used to train models?
No. Client data is not used to train models. Provider settings that would allow it are switched off in scope.
Who can see our documents?
Only the people and services named in the scope. Access follows your existing permissions, and the review interface shows which sources an answer used.
What happens when the AI is unsure?
Review queues are designed and tested so that cases the system flags as uncertain go to a person. The evaluation reports how often that happened and what slipped through.
How is pricing structured?
A free fit conversation; a fixed-fee readiness assessment agreed before you commit; pilots and implementations quoted after the assessment; model usage, hosting and third-party services itemised at cost.
Should I send example documents or spreadsheets with my enquiry?
Start with a short description of the process. If an assessment is the right next step, we agree how to share suitable sample data securely before anything is sent.
Start with one process.
We will look at how it works today, the records involved and the review steps before proposing anything.