How This Works

The C-suite strategy your organization needs — minus the department-sized budgets most nonprofits can't carry.

A full Chief Strategy & Communications Officer function usually means multiple departments: researchers, writers, designers, a policy shop, a production team, and more. Place Fractional delivers all of that with a fractional strategist working through a documented, repeatable AI-enabled stack — not a vague promise that "AI helps," but a specific set of tools doing specific jobs, with an executive validating every output before it moves.

● Why now

92%

of nonprofits now use AI in some capacity

report major gains in organizational capability

That gap is the "efficiency plateau" — faster drafts and quicker emails, but the same results, because most AI use stays reactive and individual rather than built into how an organization actually operates. Place Fractional isn't ad hoc prompting; it's a documented, repeatable stack, running the same way on every engagement.

Source: Virtuous & Fundraising.AI, The 2026 Nonprofit AI Adoption Report (346 nonprofits surveyed).

● The model

Capacity, not headcount.

Not about working faster. Multiple functions — advocacy, partnerships, communications, programming, governance — running at once, through one person, without the overhead of multiple separate hires.

One connected strategy

Advocacy work, sponsorship pipelines, messaging platforms, and program history all live in a single system — tools like Claude Code and Notion, working together, not dozens of disparate threads and disconnected files. Nothing forks across departments; nothing gets lost in a handoff between functions that don’t otherwise talk to each other.

Parallel drafting, not sequential

First drafts get built across every active workstream at once — a funder proposal, a piece of testimony, a messaging framework, a conference brief — using AI tools like Claude Projects, instead of finishing one before the next can start.

A fractional executive, applied everywhere

Every draft is reviewed and decided by the same executive — someone who understands funder relationships, board dynamics, membership, and government affairs, and picks up the specifics of yours fast, not a specialist parachuting in cold. Your team works alongside that judgment as it happens, not just receiving the output.

Infrastructure that compounds

The systems and the workflow get built once, and the shared knowledge base keeps compounding, so every new deliverable moves faster than the last. Building and rebuilding from scratch no longer exist.

Not a faster version of a smaller team. The same output multiple specialists would produce — advocacy, partnerships, communications, programming, governance — held together by one fractional executive instead of multiple handoffs.

● The workflow

What it looks like in practice.

Capture. Every meeting, briefing, and stakeholder conversation is recorded and transcribed — nothing depends on memory.
Research. The first map gets assembled fast from Notion's connected workspace and Claude's own research — public records, prior testimony, funding relationships, voting history.
Draft. Claude builds the first version of the memo, the testimony, the deck outline, the messaging matrix — from that assembled material, not from a blank page.
Validate. An executive reads, checks, and confirms every draft against real conversations and real judgment before it moves — a fast read for a first-pass brief, line-by-line for anything with a name attached, like testimony or a funder pitch. AI drafts; it doesn't decide.
Produce & deploy. Production tools turn validated strategy into board-ready decks, funder-ready briefs, and public-facing copy — at a speed a traditional department can't match.

● The mechanism

Strategy lives in one system, gets built by AI agents working from that system, and comes out the other end as government-relations-grade tactics and production-grade collateral — at fractional cost because the labor that used to sit between strategy and output has been collapsed.

See Engagement Models