ViBe://AUTOMATE
AI Research Analyst
Research work is time-consuming and often repetitive — monitoring competitors, aggregating market data, scanning industry news, and formatting findings into reports. An AI Research Analyst handles the gathering and formatting so your team focuses on interpretation and strategy.
What it handles
Research at scale, on schedule.
The AI Research Analyst connects to web sources, internal data systems, and your document management platform — running research cycles on defined schedules and delivering formatted reports.
- Monitor competitor websites, press releases, and job postings for changes
- Aggregate market data from configured public and licensed sources
- Scan industry news and surface relevant developments on schedule
- Generate structured research summaries in your approved report format
- Compare current findings against previous runs and flag changes
- Maintain a searchable archive of research outputs with version history
Systems it connects to
External and internal data sources.
Scans configured public sources — competitor sites, news feeds, industry databases.
Connects to internal databases, CRM data, and document repositories.
Google Drive, SharePoint — saves reports, maintains version history.
How it runs
Scheduled runs and on-demand research.
Human approval points
Interpretation and publication stay human.
- Strategic conclusions and recommendations drawn from research findings
- Any research report distributed externally to clients or partners
- Research methodology changes — which sources to include or exclude
- Findings used to inform public statements, press releases, or marketing
- Interpretation of ambiguous or conflicting data points
Capacity recovered
Illustrative monthly time savings.
Monthly capacity recovered
~28 hrs
Illustrative estimate
Typical implementation time
2–4 wks
From kickoff to live
Automated research cycles
Weekly
Configurable cadence
Capacity estimates are illustrative. Actual hours recovered depend on the number of research tracks, source complexity, and report formatting requirements.
Implementation
Live in 2–4 weeks.
01
Discovery
Define research tracks — competitors, markets, topics — and identify current data sources.
02
Build
Configure data connections, report templates, monitoring schedules, and delivery channels.
03
Pilot
Run first research cycle. Review report quality and source coverage with your team.
04
Full rollout
Activate all research tracks. Establish review cadence and feedback loop for continuous improvement.
Security & data handling
Research data access, controlled and logged.
Source-scoped access
Web scanning is limited to configured, approved sources. Internal data access is scoped to designated databases and document folders.
No training on proprietary data
Internal data and research findings are never used to train models.
Archive with version history
All research outputs are versioned. Previous states of monitored sources are retained for comparison.
External report approval gate
Reports marked for external distribution are always queued for human review before delivery.
FAQ
Common questions.
How current is the data the AI Research Analyst pulls?+
Web-sourced data is pulled at the time of each research run. You configure the sources — public websites, news feeds, industry databases — and the refresh cadence. Real-time data requires appropriate API access.
Can it access internal data sources?+
Yes. We connect to internal databases, document repositories, and data warehouses as part of the integration setup. Internal data is combined with external sources in the configured report format.
Does the AI draw strategic conclusions?+
It synthesizes and summarizes — it does not make strategic recommendations. Conclusions, implications, and decisions based on the research always require human interpretation and approval before external publication.
What report formats can it produce?+
We configure output to match your current templates — Google Docs, Word, PowerPoint slides, or structured data exports. Reports are saved to your document management system with version tracking.
Get started
Build your AI Research Analyst.
Book a demo to walk through your current research workflows and get a scoped build plan with source configuration, report templates, and a go-live timeline.