AI Report Analyst
AI analysis that builds on what your business already knows
Get consistent answers from work your team already trusts. Understand and modify how the answer was reached, then preserve that work for people and AI to reuse.
Build on your work with Claude, ChatGPT, Copilot and other AI tools.
Every useful analysis leaves something to build on
- Existing report or business question
- AI analysis
- Human-readable analytical steps
- Expert review and correction
- Save, version and approve
- People and AI reuse the work
- Next analysis builds on prior work
Consistent answers
Reuse established business logic across questions, people and AI.
Understand and modify the work
Read the actual analytical steps and change them yourself.
Build on established analysis
Start from what your team has already learned and corrected.
Reuse approved work
Version, review and approve analysis for your team and AI to use.
Lower AI costs through reuse
Reduce repeated context and avoid recreating the same work.
Decision intelligence that compounds
Keep expertise and corrections available for the next decision.
Already using AI? Make the useful work last.
AI can perform a useful analysis. But when its approach stays in a conversation or generated code, the next person or question can trigger a different approach. LangGrant preserves the work behind the answer so your organization can understand it, improve it and build on it.
When the work stays in chat
Question → AI → Answer → Conversation history
The next analysis may recreate definitions, calculations and assumptions.
With LangGrant
AI analysis → Readable steps → Human expertise → Reusable analysis
The next question starts from work your team has already established.
From a report to reusable business knowledge
Why did Northeast gross margin fall?
Your quarterly report shows a decline. AI investigates using the report’s definitions and underlying databases. The lasting value is the analysis your finance team reviews, corrects and keeps.
Understand and change the actual work
LangGrant captures the definitions, filters, calculations and execution steps in a human-readable Reasoning Plan. This is the work used to reach the answer, beyond a chat explanation of generated Python or SQL.
- 1. Define the comparison
Northeast gross margin, this quarter versus last quarter. - 2. Trace the change
Compare customer discounts and product mix using the report’s margin definition. - 3. Apply the finance expert’s correction
Use net revenue after rebates in the margin calculation. - 4. Review and preserve
Check the revised results, save the version and approve it for reuse.
Illustrative workflow
The correction becomes part of the next analysis
The finance expert edits the calculation directly, without asking AI to rewrite opaque code and trusting it to interpret the change.
The team can review what changed and reuse the approved definition. Next quarter, rerun the same steps against fresh data; for a new question, build on the established analysis.
What the organization keeps: the analytical steps, the corrected margin definition, the expert’s rationale and the approved version.
Illustrative example, not a live analysis of your data.
Make trusted analysis a shared business asset
Review, version and approve
See versions, review changes and approve the approach before others reuse it. Keep business expertise with the work it improves.
Keep answers consistent
Give teams and AI established definitions and analytical steps to build on, so each new question does not reinvent the approach.
Rerun as data changes
Repeat the approved analysis against new data each reporting period. Preserve the method while the numbers change.
Start with work your business already trusts
Existing reports, report definitions, SQL, database schemas, business logic, metrics and semantics become inputs to AI analysis. Bring the definitions and context your organization has already developed into the next piece of work.
Lower AI costs
Don’t pay AI to rediscover what your organization already knows.
Reuse concise analytical steps and established database knowledge. Less context, conversation history and regenerated work needs to be sent through AI repeatedly, reducing token use and AI costs.
Decision intelligence that compounds
Every analysis makes the next one more valuable.
AI analysis, human expertise, corrections and established business logic accumulate into reusable organizational knowledge. What one team learns becomes a starting point for other people and AI.
Start with one report. Keep what you learn.
Try LangGrant Free Edition with a report you already trust. Review the analysis, add your expertise and save useful work for the next decision.