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As of 13 August 2026, AI can choose a video conferencing system for your office.
This still needs a person who signs their name to it.
Can you do it?
5 minutesto a draft.
30 minutesto something you’d act on.
Cost, all in£0
Skill neededchat-fluent
Who has to check ita colleague
What the alternative costsThe supplied comparison data gives no price for a human procurement alternative.
If this goes wrong: your team adopts a system that fails on important devices or integrations, and you spend time and money replacing it.
What to actually do
Hand it to a person
The route this page recommends
A person who owns the outcome does this end to end, worth it when the failure is dear.
Use a tool built for this
Second choiceDo it yourself
The distant thirdA chat interface, chat-fluent skill, and roughly 30 minutes until you can act on the result.
How to actually do it
- Open the websites of the video conferencing systems already used or considered by your office, and note the current users, devices, integrations, security requirements and contract constraints.
- Ask representatives from the main user groups to provide typical meeting sizes, external guest needs, accessibility requirements, recording needs and the problems they have with the current system.
- Paste those requirements into the prompt, replacing every bracketed slot, and ask the chatbot to use current supplier documentation with a citation for each material claim.
- Give the chatbot the supplier pages or product documents it could not verify, then ask it to update the comparison matrix without filling gaps with assumptions.
- Ask a technically knowledgeable colleague to check the cited features, privacy and administration claims against the suppliers' current documentation and flag any unsupported recommendation.
- Invite the leading suppliers to confirm pricing, contract terms, support, data handling and integration details in writing before you decide.
- Run the proposed pilot with representative staff and external callers, compare the results with the acceptance tests, and record failures before selecting a system.
Prompt
Help me choose a video conferencing system for my office in the UK. Act as a procurement researcher, not the final decision-maker. First list the requirements and unknowns you need from me, then create a weighted decision matrix and compare suitable current options using cited supplier or product documentation. Consider: number of users [TEAM SIZE], meeting frequency and typical meeting size [MEETING PATTERN], internal and external callers [CALLER TYPES], devices and operating systems [DEVICES], required integrations [INTEGRATIONS], recording, transcription and accessibility needs [REQUIREMENTS], security, privacy and administrative controls [SECURITY REQUIREMENTS], expected support needs [SUPPORT REQUIREMENTS], budget and contract preferences [BUDGET], and any existing systems [EXISTING SYSTEMS]. Do not invent prices, features, certifications, availability or limits. Mark anything you cannot verify as unknown. Separate confirmed facts from judgement. Include likely drawbacks, migration effort, user training, vendor lock-in, data-location questions and questions to ask suppliers. Recommend a shortlist rather than presenting one choice as certain. End with a small pilot plan and acceptance tests covering joining meetings, audio and video quality, screen sharing, external guests, recording, accessibility, administration, integrations and support. State clearly which assumptions could change the recommendation.
Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.
What it gets wrong
- AI cannot test call quality, reliability or device compatibility in your office.
- AI cannot know whether your staff and external callers will adopt the system without observing a pilot.
- AI cannot confirm unpublished pricing, support quality, contract terms or future product changes.
- AI cannot take responsibility for the operational and data-handling consequences of the purchase.
- AI can compare stated features, but it cannot resolve an unspoken preference between cost, control, convenience and familiarity.
Even on a YES, the friction has a name: verification cost, context depth and stakes of error.
How we scored this
Five axes, each scored nought to two by hand: ten means AI carries the task cleanly, and the thresholds that turn a total into YES, PARTLY or NO are published in the methodology. Each axis name links to its definition.
| Axis | Score (0–2) |
|---|---|
| Output | 2 |
| Inputs | 2 |
| Verification | 1 |
| Liability | 2 |
| Effort delta | 2 |
| Total | 9 / 10 |
The methodology and its thresholds are published in full.
FAQ
- Can AI compare Zoom, Teams and Google Meet for my office?
- Yes. It can build a requirements-based comparison and identify questions that the suppliers need to answer. You still need to verify current features and test the shortlist with your staff and devices.
- Can AI tell me which video conferencing system is best?
- It can make a defensible recommendation when you provide clear requirements and reliable supplier information. There is no universally best system, and the recommendation can change with your integrations, security needs, users and budget.
- Can AI check whether a video conferencing system is secure?
- It can organise and compare suppliers' published security, privacy and administration information. It cannot independently audit the supplier or prove that the system is configured safely in your office, so a security or IT colleague should check the result.
- Should I test a video conferencing system before buying it?
- Yes. Use a pilot with representative users, devices, external callers and the integrations you rely on. Test joining, audio, video, screen sharing, recording, accessibility, administration and support against written acceptance tests.
Nearby answers
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Assessed by gpt-5.6-luna (gpt-5.6-luna) on 2026-08-13, second-checked by an independent model. Wrong somewhere? Email [email protected] and it gets re-checked.
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