AI/2025
Kiln
Multi-agent research tools for strategy teams who need receipts, not vibes — evidence-linked answers with human oversight.
- Client
- Kiln Research
- Industry
- Strategy & research
- Timeline
- 11 weeks
- Year
- 2025
61%
Research cycle
shorter first draft
94%
Cited sources
answers with receipts
18h
Analyst hours
saved per brief
01
The challenge
Strategy teams were drowning in generative noise. Agents drafted fast but buried provenance, so analysts spent more time verifying than thinking.
02
The approach
We treated every claim as a unit of work: retrieve, score, cite, then synthesize. Human checkpoints sit between agent steps so speed never outruns trust.
03
The build
An agent orchestration layer with tool-routed retrieval, citation cards, and a review workspace. The UI surfaces confidence, conflicts, and source freshness beside every recommendation.
04
The result
Briefs ship with linked evidence by default. Analysts steer agents instead of cleaning up after them, and leadership can audit how an answer was formed.
Services
- AI & automation
- Software development
- Product design
- QA
Stack
- Python
- LangGraph
- Next.js
- Postgres
- Vercel
Outcomes shipped
- Multi-agent pipeline with explicit human gates
- Citation-first answer cards with conflict flags
- Workspace for brief assembly and export
- Eval harness for prompt and retrieval regressions
“They treated AI as part of the workflow, not a buzzword. Requirements were clear, and quality was built in from the start.”
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