AI RESEARCH ASSISTANTS FOR INSIGHTS LIBRARIES
Put your research library to work.
Search brand trackers, customer studies and qualitative reports through an AI assistant that retrieves relevant findings, links to source material and shows gaps in the evidence.
For insights teams managing research libraries, recurring trackers and stakeholder questions.
THE OPPORTUNITY
Research knowledge assistants.
A clearer way forward.
Research often becomes difficult to retrieve after delivery. Reports sit in different folders, useful context stays with individuals, and a new question triggers another manual search.
What we build
We organise approved sources, define permissions and build retrieval around the questions your team actually asks. A research assistant can locate passages, compare findings and prepare a briefing with links back to the underlying evidence.
THE DELIVERABLE
Outputs for your
research team.
A scoped source library and access model
Retrieval and answer workflows with source references
Evaluation questions covering uncertainty and conflicting evidence
A usable interface, deployment plan and maintenance guidance
POSSIBLE WORKFLOWS
Applications in
research delivery.
Illustrative examples. The final scope depends on your methods, systems and data.
- Retrieve findings across approved brand, customer and category studies
- Prepare a sourced stakeholder briefing with study dates and sample context
- Compare relevant findings across research waves while retaining methodological differences
COMMON QUESTIONS
Before we begin.
What is RAG in market research?
Retrieval-augmented generation gives an AI model relevant material from an approved source collection before it answers. It can improve traceability, but still requires evaluation and appropriate review.
Can you use internal research documents?
Yes, subject to permission, format and deployment requirements. We agree what information may be processed, who may access it and which providers are approved.
How do you reduce unsupported answers?
Use source-grounded retrieval, explicit uncertainty handling and evaluation questions that test missing information and contradictions. These controls reduce risk without guaranteeing every answer is correct.
A useful next step
Tell us about
your research.
Describe the study, the research workflow and the output your team needs.
Prepare a research brief