AI at the Bentway

The Bentway team is small enough that a verbatim quote can identify the person who wrote it, so this version summarises the free-text answers rather than quoting them, and does not publish individual responses. The range bands and counts are the full questionnaire (18 responses).

  • Drafting & editing writing

    8 of 18 staff
    Communications

    Staff draft emails, copy and reports, then ask a chatbot to tighten or rephrase — and put the result back in their own voice before it ships. The most common AI use at the Bentway (8 of 18 staff).

    Open canvas →
  • Research & background gathering

    8 of 18 staff
    Research & Development

    A jumping-off point: staff ask chatbots to synthesize unfamiliar subjects — materials, precedents, plant names, artist practices — then verify with their own research before relying on any of it.

    Open canvas →
  • Data & spreadsheets

    8 of 18 staff
    Planning & analysis

    Cross-referencing contact lists, formatting spreadsheets, compiling data for decks. Staff upload real files — including whole contact databases — and check the output by eye before using it.

    Open canvas →
  • Admin & scheduling

    5 of 18 staff
    Scheduling & logistics

    Formatting, lists, itineraries: the quiet uses staff call the safest, and the ones they are most comfortable naming. But an artist’s itinerary still carries someone’s personal details.

    Open canvas →
  • Summarizing documents & meetings

    4 of 18 staff
    Staying on top of it

    Long documents, meeting notes and feedback from several parties go in; a digest comes out. Useful exactly when the material is too long to check line by line — which is also the risk.

    Open canvas →
  • Brainstorming & ideas

    4 of 18 staff
    Arts & Culture

    Throwing prompts at a chatbot to get unstuck: themes for a grant, angles for a program, material ideas for an installation. Staff are clear it never produces the final product.

    Open canvas →
  • Grants & funder reporting

    3 of 18 staff
    Fundraising

    The full life cycle of grants: brainstorming themes, drafting applications, tailoring language to a funder’s priorities. A huge time saver for a small team — and the use staff are least likely to mention outside the building.

    Open canvas →
  • Translation & identification

    2 of 18 staff
    Translation & Language Access

    The on-site uses: identifying novel plants and part names from a photo, translating on the fly. AI features inside tools staff already carry — verified against other sources before anyone acts on them.

    Open canvas →

All staff, all uses

18 staff
How oftenIn a typical month, how often do you use AI tools for work?
32643
NeverRarelyA few times a monthA few times a weekDaily
Trust in own useWhen you use AI at work, how confident are you that you’re using it appropriately?15 answered
627
Not confidentRarely sureSometimes sureMostly sureAlways sure
Time saved / weekRoughly how much time do you estimate AI saves you in a typical week?9 answered
2511
NoneUnder 1 h1–3 h4–7 h7 h +
Comfort disclosingWould you feel comfortable telling a colleague or your manager that you used AI on a piece of work?15 answered
2310
Would hide itProbably notIt dependsProbablyOpenly yes

Each cell is one answer choice — the deeper the colour, the more responses gave it · the pointer under the bar marks the median

What worries staff

  • Losing the human voice in our communications14/18
  • Accuracy of what it produces12/18
  • Environmental impact12/18
  • Privacy & confidentiality of what we put in11/18
  • How partners, funders or the public would react9/18
  • Effects on jobs or roles6/18
  • No significant concerns2/18

What staff want the AI policy to answer

  • Where the line is — what is OK and what isn’t, and which platforms staff may use.
  • What is safe to put into these tools, and how staff are protected when they do.
  • How AI use is counted in the Bentway’s environmental impact reporting.
  • Where the Bentway stands on generative AI in its own visual media.
  • Whether staff — or job candidates — are ever disadvantaged for choosing not to use these tools.
  • Whether AI is a tool or a substitute: staff want it treated as assistance, not a starting point.
  • Whether public-facing materials should be AI-free, or at least free of legible AI traces.
  • Do we tell partners and funders when AI helped with a piece of work?