Artificial intelligence for associations, syndicates, and chambers
Circulars, the statute, and ten years of member questions — one assistant for the secretariat, in Persian and English.
Request a consult for your secretariat.
What a secretariat keeps being asked
The staff are few. The archive is not. Members ask the same question in different words, and the answer has to match the last circular.
Member inquiries
Dues, licenses, the latest circular, and who is allowed to vote are answered from the current text, with that text attached.
Statute and resolutions
The board asks what was decided. The assistant cites the resolution instead of a recollection.
Circulars and briefings
A new regulation is turned into a member note that stays consistent with the ones you have already sent.
Positions and submissions
A comment on a draft rule starts from the association's earlier positions, not from a blank page.
Committees
Minutes, agendas, and the papers for the next meeting are drafted from the last packet.
Member data stays in
Rosters and commercial disputes are not material for a public model. On-premise deployment is available when the board requires it.
The closest published evidence
Chambers are not broken out in the major AI surveys. Their work is knowledge management and written responses, which those surveys do measure.
of organizations report AI use in at least one function
McKinsey, The State of AI, 2025
management joined IT and marketing as a function with the most reported AI use
McKinsey, The State of AI, 2025
is what a response team now spends writing an RFP — the same shape of work as a position paper or a member briefing
Loopio, RFP Response Trends and Benchmarks, 2025
of those response teams use generative AI
Loopio, RFP Response Trends and Benchmarks, 2025
Figures come from the published surveys and case reports named on each card. They describe those samples, not a promise of the same result.
What Convex puts in front of the team
A small secretariat gets the archive the large ones already wish they had, without a software project.
Several models
Pick the model for the task from several leading models, in one place.
Specialized assistants
An assistant for member questions and one for the board's papers, on the same documents.
A personal assistant
Each person has an assistant tuned to how they work.
Workspace assistants
Shared assistants that keep the company's context for the whole team.
Search over your documents
Answers come from your own procedures, contracts, and records, with the source attached.
Documents out
Word files and images today. CSV export is planned.
A cap per person
Token use is visible per person, and the spend can be exported.
Adoption dashboard
See where AI is actually being used, and where it is not.
Cloud, or entirely on your own infrastructure
The same product. The difference is where the data sits.
Cloud
What is available today, hosted.
- Access to several leading models
- Specialized, personal, and workspace assistants
- Search over the company's documents
- Word documents and images
- Token-use tracking and reports
- Adoption dashboard
On-premise
Full control inside your environment, including a network with no outbound connection.
Everything in Cloud, plus:
- Your own model endpoints
- Offline licensing and payment for a disconnected site
- Assistants and workflows built for your process
Load the statute and the last year of circulars
If those two answer correctly, the membership desk can use it the same week.