AI Agents
AI research agents that gather and cite sources
A research agent gathers information from approved sources, extracts it into a fixed structure, and cites every claim it makes. Lingows AI builds research agents for competitive monitoring, due diligence preparation, and internal analysis where the output has to be checkable rather than merely fluent.
01What this is
Research output is only useful if it can be verified. Every field the agent produces carries a source link, and any claim it cannot source is reported as missing rather than filled in.
Structure comes before prose. The agent fills a defined schema, such as company, segment, pricing model, and stated positioning. A written summary is generated from that structure, not instead of it.
02Who this suits
Repeated research formats
Teams producing the same kind of brief on a recurring basis.
Competitive monitoring
Organizations tracking a defined set of competitors, products, or regulations.
Analyst heavy work
Groups where skilled staff spend most of their time collecting rather than judging.
03How it works
- Step 01
Fix the output schema
Define the fields before defining the sources. The schema determines what the agent looks for.
- Step 02
Restrict the source set
Approved domains, internal documents, and licensed data. Open ended browsing is a last resort, not a default.
- Step 03
Report conflicts
When sources disagree the agent surfaces both with citations instead of choosing silently.
04Effort and timeline
| Item | Typical |
|---|---|
| Typical build | 3 to 6 weeks |
| Output | Structured record plus generated summary |
| Citations | Required on every claim |
| Refresh | Scheduled or on demand |
05Common failure modes
Treating output as final
Research agents assemble evidence. A person still decides what it means.
Unbounded browsing
Open web access without a source policy pulls in low quality material that reads as authoritative.
No conflict handling
Silently picking one of two contradictory sources hides exactly the thing an analyst needs to see.
FAQQuestions
Common questions
Can it research private or paid sources?
Yes, where the company holds a license or credentials permitting programmatic access. Licensing terms are reviewed before any paid source is wired into an agent.
How current is the information?
As current as the sources allow and the refresh schedule requires. Every record carries a retrieval timestamp so staleness is visible rather than assumed.
Last reviewed 2026-08-16
UPWhere this sits
Research Agents is part of AI Agents. The pillar page covers scope, delivery model, and the other capabilities in the set.
- Customer Service Agents
An AI customer service agent reads an incoming ticket, retrieves the approved answer, takes the action the ticket requires, and escalates anything outside its scope. Lingows AI builds these agents against a live help desk so resolution happens in the system support staff already use.
- Sales Development Agents
A sales development agent responds to inbound leads within minutes, asks qualifying questions, records the answers as structured CRM fields, and books time with a person when the lead fits. Lingows AI builds these agents around a company's own qualification criteria rather than a generic script.
- Operations Agents
An operations agent handles internal work that arrives constantly and follows a pattern: request triage, record updates, status chasing, and routine reconciliation. Lingows AI builds operations agents that work across the systems a back office already uses and escalate anything that falls outside defined rules.
Talk through research agents
Bring the process, the volume, and the systems it touches. Lingows AI will scope the build, the effort range, and what running it costs.