AI transparency
How Logan uses AI.
Logan is an AI fundraising coworker. It helps teams research funders, organize evidence, draft materials, and move relationship work forward. It does not replace human judgment or final approval.
Last updated June 28, 2026
Source-aware research
Logan can use public sources, uploaded documents, workspace context, and relationship memory to produce evidence-led work.
Human approval
People decide what to approve, send, submit, or treat as true. Logan prepares the work; the team owns the judgment.
Private workspace context
Organization profiles, program details, documents, and relationship memory stay scoped to authorized workspace users.
What Logan can do
Logan combines durable workspace memory with current task context. It can search, summarize, draft, compare, recommend, and continue background research when the workspace has the needed setup.
Find and qualify public funding leads against organization and program profiles.
Research funders, donors, board paths, trustees, public giving patterns, and relationship signals.
Draft grant sections, letters of inquiry, outreach notes, internal briefs, and stewardship materials.
Explain why a lead matters and what evidence supports it.
Ask for human decisions when the next move needs judgment, approval, or relationship context.
What Logan does not do
Logan is useful because it works with evidence and context. It should not be treated as a final authority.
Logan does not guarantee funding or funder interest.
Logan does not submit applications or send outreach unless the product explicitly supports that action and a human authorizes it.
Logan does not replace legal, accounting, compliance, or professional review.
Logan should not be used as the only source for eligibility, deadlines, budgets, or funder rules.
What data Logan uses
Depending on the task, Logan may use organization profile data, program profile data, selected documents, relationship memory, public-source records, chat context, and user instructions. Private workspace context is scoped to the authorized organization.
How we protect workspace context
Logan separates private workspace data from reusable public discovery. Public-source signals may become global intelligence. Private CRM history, documents, board connections, approvals, and relationship strategy remain private to the workspace.
Questions about AI use?
We can walk through how Logan handles workspace memory, public discovery, model routing, and review workflows.