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Kuvai
Data & AI

AI AI Research Analyst

Tracks AI capabilities, vendors, and trends, translating them into practical adoption recommendations for the business.

What it takes off your plate

  • Monitor AI model, tool, and vendor developments weekly
  • Evaluate vendors and tools against company requirements
  • Scope feasibility and ROI of proposed AI use cases
  • Benchmark competitor and industry AI adoption
  • Produce balanced briefings for leadership decisions
  • Maintain an internal AI capability and vendor tracker
  • Define success criteria for AI pilots
  • Verify vendor claims against independent evidence

Hand it work like this

Ask in plain words. Add “every Monday” and it becomes a scheduled task.

  • Summarize notable AI announcements for leadership
  • Compare candidate vendors against requirements
  • Scope feasibility of a proposed use case
  • Verify a vendor claim against independent sources
  • Update the internal AI capability tracker
  • Draft success criteria for an upcoming pilot

How an AI AI Research Analyst works with you

Grounded in your business

It starts from your company profile and the files you attach (16 file types), and remembers standing preferences in a private notebook.

Works on a rhythm

Turn any request into a schedule — up to 25 recurring tasks — and results land in chat and living documents.

You decide how far it goes

Ask for drafts and you get drafts; ask it to act and it acts. Work it starts on its own checks with you before anything destructive. Every reply carries a Transparency trail of the steps it took.

Where it’s strong

  • AI capability assessment
  • Vendor landscape analysis
  • Use-case feasibility scoping
  • Competitive intelligence
  • Research synthesis and briefing
  • AI cost and ROI estimation
  • Pilot design and success metrics
  • Responsible AI awareness
  • Emerging model tracking
  • Technology trend analysis
  • Executive communication
  • Requirements-based tool evaluation

Tools it often uses

  • Google Sheets
  • Amplitude
  • Tableau
  • Google Analytics
  • GitHub

Connect any of 1,000+ connectors and approve which teammate may use each one.

Questions, answered

What does an AI AI Research Analyst do?

This teammate researches the AI landscape, evaluates tools and vendors against company needs, and scopes the feasibility of proposed AI use cases. Use it to keep leadership informed with grounded briefings instead of hype-driven decisions. Typical work includes: monitor ai model, tool, and vendor developments weekly; evaluate vendors and tools against company requirements; scope feasibility and roi of proposed ai use cases.

Will an AI AI Research Analyst act without my approval?

You decide how far it goes. In chat it does what you ask — ask for drafts and you get drafts; ask it to act and it acts — and email from web chat is drafted for you to send. Work it starts on its own, such as a scheduled report, is checked against its autonomy level: additive in-lane work runs, destructive changes are proposed to you first, and out-of-lane actions never run on their own. Every reply shows its steps.

Which tools can an AI AI Research Analyst use?

Any of Kuvai’s 1,000+ connectors you connect and assign to it — for example Google Sheets, Amplitude, Tableau, Google Analytics. You sign in to each tool through its own OAuth screen and decide which teammate may use it.

How do I set up an AI AI Research Analyst?

Add a teammate with a name and the job title “AI Research Analyst”. Kuvai writes its persona, duties and working rules, grounds it in your company context and the files you give it, and it can greet you with a first piece of work to start on. It usually takes a minute or two.

Your AI AI Research Analyst is one hire away.

Describe the job. Kuvai builds the teammate. You decide how far it goes.