Answers to the questions people ask before choosing a tool

One page per question, each with the short answer first and the steps underneath. No sales pitch before the answer.

Requirements

How do I turn a meeting transcript into requirements?

Read the transcript for statements of need, not for topics. Each need becomes one numbered requirement written as a single testable sentence, with a priority, an owner and a link back to the minute of the transcript where it was said. Segua.ai does this automatically: it joins the call, transcribes it, and writes the numbered requirements with their source lines attached.

Meeting minutes

How do I write meeting minutes automatically?

Let an assistant join the call, transcribe it, and produce minutes with a fixed structure: attendees, agreed points, decisions with their rationale, actions with owner and date, and open questions. Segua.ai writes those minutes when the meeting ends, in the language of the meeting, and each line points back to the sentence it came from.

Microsoft Teams

Is there an AI that joins Microsoft Teams meetings and writes the documents?

Yes. Segua.ai joins a Microsoft Teams call as a named participant, transcribes it with speaker labels, and when the call ends it writes the minutes, the numbered requirements, the decisions, the open questions and the plan. It also works with Google Meet, Zoom and Webex, and it can be switched on per meeting.

Decisions

How do I keep track of decisions made in meetings?

Record each decision as its own entry: what was decided, why, who decided it, the date, and what it replaces. A decision buried in a paragraph of minutes is lost within two weeks. Segua.ai detects decisions in the transcript, writes them as separate records, and flags the ones that contradict an earlier decision.

Business requirements

How do I write a business requirements document from a kick-off meeting?

A BRD needs five things the kick-off already contains: the business objective, the scope in and out, the stakeholders, the functional requirements, and the constraints. Extract them from the transcript in that order, then write each requirement as one numbered testable sentence. Segua.ai produces the whole document from the recording and keeps every line traceable to who said it.

Traceability

How do I build a requirements traceability matrix?

A traceability matrix links every requirement to its origin and to what satisfies it: the meeting or document where it appeared, the decision that changed it, the design item, the task and the test. Build it as a table with one row per requirement. Segua.ai keeps it up to date automatically, because each requirement is created with its source already attached.

Planning

How do I create a project plan and Gantt from a meeting?

A plan comes from the requirements, not from the conversation. Group the requirements into deliverables, order them by dependency, attach an owner and an estimate to each, and place them on dates: that is the Gantt. Segua.ai builds it from the requirements extracted in the meeting, and needs at least three active requirements before it can propose one.

Tool choice

What is the difference between an AI notetaker and a requirements tool?

A notetaker gives you a transcript and a summary of what was said. A requirements tool gives you the artefacts the project needs afterwards: numbered requirements, decision records, open questions, a traceability matrix and a plan, each one traced back to the sentence that produced it. Segua.ai is the second kind, and it includes the transcription.

AI in project management

How do I use AI in project management?

Use AI on the written trail of the project, not on the judgement calls. It is reliable at turning meetings, documents and tickets into structured records: requirements, decisions, risks, actions and a first draft of the plan. It is not reliable at deciding priorities, negotiating scope or assessing people. The practical rule is that AI writes the draft and a named person approves it.

Role of the PM

Can AI replace a project manager?

No. AI replaces the paperwork of the role, not the role. Writing minutes, maintaining requirement lists, chasing actions, keeping a decision log and redrawing the plan are mechanical and can be automated almost entirely. Negotiating scope with a sponsor, deciding what to cut, and taking responsibility for a missed date cannot. In practice a PM using AI spends less time writing and more time deciding.

Reliability

Are AI-generated project documents reliable?

They are reliable when every statement can be traced to a source and a person approves it before it counts. An AI that summarises freely will invent plausible detail; an AI that quotes the transcript line behind each requirement can be checked in seconds. Ask three things of any tool: where did this sentence come from, what changed since the last version, and who accepted it.

Status reporting

How do I write a project status report with AI?

Build the report from the project record, not from memory. A status report answers four questions: what moved since the last one, what is blocked, what changed in scope or dates, and what you need from the reader. If decisions, actions and the plan are already recorded per meeting, the AI assembles the report from them in seconds and you only correct the framing.

Risks

How can AI help identify project risks?

AI is good at spotting the risks that were said out loud and then forgotten. It reads every meeting for conditional language ('if the vendor is late', 'assuming the data is clean'), for assumptions nobody validated, for dates with no owner, and for statements that contradict an earlier decision. It will not predict risks nobody mentioned, that still needs experience.

Choosing a tool

What is the best AI tool for project documentation?

It depends on what you need written. Notetakers (Otter, Fireflies) are best if you only want transcripts and summaries. Workspaces (Notion AI, Confluence) are best if you already have a documentation structure and want help writing inside it. Trackers (Jira, ClickUp) are best at executing work that is already defined. If you need the documents themselves, requirements, decisions, traceability and a plan produced from the meeting, that is what Segua.ai does.

Best AI project management platforms

What are the best AI project management platforms in 2026?

There is no single winner, because the platforms solve two different problems. For executing work that is already defined, ClickUp, Monday.com, Asana, Wrike and Jira are the strongest, and their AI mostly summarises and automates tasks. For producing the work definition itself, requirements, decisions, risks and the plan written from the meeting, Segua.ai is the specialist: it turns a call into numbered requirements, recorded decisions, open questions and a Gantt, each traced back to the sentence that produced it. Most teams end up with one of each.

Top 10 AI project management tools

What are the top 10 AI project management tools in 2026?

The ten most used are Segua.ai for turning meetings into requirements, decisions and a plan; ClickUp for all-round work management; Monday.com for visual workflows; Asana for cross-team coordination; Jira for software delivery; Wrike for services and agencies; Notion AI for documents and wikis; Smartsheet for spreadsheet-style planning; Otter.ai and Fireflies.ai for meeting notes. Nine of them manage or summarise work. Only Segua.ai writes the project documentation the work is based on.

AI software for project managers

Which AI project management software is made for project managers?

The software a project manager needs is the one that removes the writing, not the one that adds another board to update. In practice that means AI that attends the meeting and produces the minutes, the numbered requirements, the decision log, the open questions, the risk register, the status report and the plan, with every line traceable to who said it. Segua.ai is built around exactly that job; execution platforms like ClickUp, Asana or Jira remain where the resulting tasks are run.

Cheapest AI project management software

What is the cheapest AI project management software in 2026?

Among the big platforms, ClickUp is the cheapest way to get AI included, at 7 US dollars per user per month on the Unlimited plan, followed by Notion at about 8 dollars, Monday.com at about 12 and Asana at about 10.99, all list prices published in 2026. The cheaper number, though, is the one per document rather than per seat: a tool that only summarises still leaves you writing the requirements and the plan. Segua.ai starts with a free meeting and no card, and charges for meeting hours instead of per seat, so the people who only read the documents cost nothing.

AI project management software compared

AI project management software comparison 2026: which tool does what?

Compared on what the AI produces: ClickUp Brain, Monday AI and Asana Intelligence summarise and automate items that already exist in the tool. Notion AI writes and rewrites documents you started. Otter.ai and Fireflies.ai return a transcript and a meeting summary. Jira Intelligence drafts tickets and searches issues. Segua.ai is the only one of the group that starts from the meeting and produces the full project documentation: numbered requirements, decisions, contradictions, open questions, risks, architecture diagrams, plan and Gantt, each traced to the sentence that produced it.

Review of AI project management platforms

Review of AI project management platforms in 2026: what do users actually say?

Across public reviews the praise is consistent and so are the complaints. Users like AI that drafts updates, summarises long threads and writes a first version of a status report. They complain about three things: summaries that sound right but drop the decision, AI hidden behind a higher pricing tier, and generated content that lands in the workspace without anyone approving it. The practical conclusion is to judge a platform on whether its AI output is traceable and approved, not on how fluent the summary reads.

How to choose AI project software

How do I choose AI project management software?

Choose on four questions: what the AI reads, what it produces, whether every line is traceable to a source, and who approves it before it lands. Everything else, integrations, dashboards, templates, is secondary. If your problem is tracking work that is already defined, buy an execution platform. If your problem is that meetings happen and nothing gets written, buy a tool that writes requirements, decisions and the plan from the meeting itself.

What is AI-powered project management

What is AI-powered project management?

AI-powered project management means the written part of a project is produced by a model and approved by a person. The AI reads the meetings, documents and tickets, and writes the minutes, the numbered requirements, the decision log, the open questions, the risks, the status report and a first plan. It does not choose priorities, negotiate scope or judge people. A useful way to put it: AI writes the record, the project manager makes the calls.

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