Scattered research stalled CEO prep — RAG unifies AlphaSense, Gartner & Notion briefs

Overview

Market intelligence at a fintech startup lived across PDF subscriptions, analyst notes, and ad hoc summaries, which made it difficult to brief the CEO before investor and partner meetings. Teams searched in multiple places, pulled excerpts without clear rights, and risked misquotes or stale talking points. Intelligex deployed a retrieval-augmented generation (RAG) layer that indexed AlphaSense exports, selected Gartner research, and internal memos in Notion, wrapped with policy filters that block non-shareable excerpts and enforce citation. Executives received concise, sourced briefs inside their existing prep workflow, which reduced rework, minimized misquoting, and shortened the time from question to confident talking points.

Client Profile

• Industry: Financial technology (payments, data, risk)
• Company size (range): Venture-backed startup with global investors and partners
• Stage: Scaling beyond product-market fit and preparing for frequent investor discussions
• Department owner: Strategy, Analytics & Executive Leadership (Office of the CEO / Corporate Strategy)
• Other stakeholders: Investor Relations, Product Marketing, Legal & Compliance, Security, Sales Leadership, Research/Insights, IT

The Challenge

Executive prep depended on scattered content. Analysts downloaded market reports from AlphaSense, clipped excerpts from Gartner research, and wrote one-off summaries in Notion. The same topic could produce multiple versions with inconsistent sources and language. When a briefing was needed, teams copied from prior docs, hunted email threads for attachments, and pasted screenshots without clear provenance. Misquotes and missing context risked credibility with investors and partners.

Tooling existed but was siloed. AlphaSense housed transcripts and filings, Gartner delivered industry research, and Notion captured internal perspectives, but none of it was searchable in one place with rights-aware output. Legal worried about licensed content being redistributed beyond allowed use. Leadership asked for an integrated, policy-safe briefing flow that produced concise summaries with citations and guardrails, without moving content out of the systems that teams already used.

Why It Was Happening

Content lived in different repositories with different permissions and licensing terms. Analysts saved PDFs locally or in shared folders, which broke links to original sources and diluted ownership. Notion pages accumulated overlapping takes without a way to connect them to the underlying research. The result was duplicative work and uncertainty about which quotes were current or shareable.

Governance was informal. There was no process to enforce citations, limit excerpt lengths based on license, or flag potentially sensitive content before distribution. Briefs were created under time pressure, which favored speed over policy. Without a consistent way to retrieve, summarize, and attribute, the executive team received materials that sometimes lacked traceable evidence.

The Solution

We implemented a permissions-aware RAG service that indexed approved AlphaSense exports, licensed Gartner reports, and internal Notion pages. The service generated briefings with inline citations that link back to the source and applied policy filters that prevent non-shareable excerpts or excessive quoting. A lightweight review gate allowed Investor Relations and Legal to approve sensitive briefings. Nothing was replatformed: AlphaSense remained the discovery channel, Gartner reports stayed in their repository, and Notion continued as the internal wiki; the new layer orchestrated search, summarization, and governance.

• Indexing of AlphaSense exports, select Gartner research, and internal memos in Notion, with metadata for source, date, and license (AlphaSense, Gartner Research, Notion Help)
• Retrieval-augmented generation that composes concise briefs with citations, following a “use your data” pattern (Azure OpenAI: Use your data)
• Policy filters that enforce excerpt limits, block redistribution of restricted text, and watermark internal notes
• Playlists and topic packs for recurring meetings (investor, partner, board) so teams reuse proven structures
• Search facets for competitor, product area, market segment, and timeframe to refine prompts
• Source freshness and confidence signals that prefer recently updated and licensed materials
• Review gate for Investor Relations and Legal on briefs that include sensitive claims or external quotes
• Audit trail that records sources, prompts, policy checks, approvers, and delivery channel for each brief
• Delivery to the exec prep channel and calendar entries with a one-click link to the sourced brief
• Role-based permissions that mask restricted sources while still indicating a summary exists with a request path

Implementation

• Discovery: Mapped current prep workflows, common briefing topics, and source locations. Cataloged license terms for AlphaSense exports and Gartner content. Reviewed Notion spaces for authoritative pages versus drafts, and documented Legal’s redline rules for external sharing.
• Design: Defined the indexing scope, metadata schema, and tagging for topics and competitors. Drafted summary templates for investor and partner briefings with required sections and citation formats. Designed policy filters for excerpt limits and blocked content. Planned a review gate and delivery into the exec prep channel and meeting invites.
• Build: Connected AlphaSense export folders, licensed Gartner repositories, and Notion spaces to the index. Implemented RAG with prompt templates tuned for concise, cited summaries. Added policy filters and a license-aware renderer that swaps blocked passages with a short abstract and a source link. Built an approval step with comments for Investor Relations and Legal, and wired delivery into the existing workflow.
• Testing and QA: Ran historical briefings through the service, compared to prior decks, and validated accuracy and citation integrity. Stress-tested policy filters with long quotes and restricted sections. Verified that restricted users saw masked summaries and request paths, not raw content. Tuned freshness and confidence scoring to prioritize current sources.
• Rollout: Launched with a pilot group for investor prep, then added partner and board use cases. Kept manual briefing paths for unique situations, with a requirement to attach citations. Expanded indexing incrementally and monitored policy exceptions to refine filters.
• Training and hand-off: Delivered short guides for analysts on tagging sources and writing durable Notion pages, for Investor Relations on approvals and redlines, and for executives on reading citations and requesting deeper dives. Assigned stewardship for source catalogs, policy filters, and summary templates to Strategy and Legal.

Results

Executive prep moved from hunting and pasting to reviewing concise, cited summaries delivered in the usual channels. Each briefing linked to the underlying sources, and restricted material was handled with abstracts and links rather than copy-paste. Misquotes and mismatched dates were flagged automatically by the policy layer, and Legal reviewed sensitive claims before distribution.

Analysts spent less time reassembling prior work and more time refining narratives and answering follow-up questions. Investor and partner meetings started with clear, shareable talking points backed by consistent evidence. Because the service drew from the same governed index, the team reduced duplicative analyses and built a reusable library of topic packs for recurring forums.

What Changed for the Team

• Before: Briefs were rebuilt from scattered PDFs and notes. After: A single RAG layer produced concise summaries with citations from approved sources.
• Before: Excerpts moved without clear rights. After: Policy filters enforced license terms and replaced restricted text with abstracts and links.
• Before: Notion pages diverged from source research. After: Internal memos were linked to the same index and referenced in summaries.
• Before: Legal checks happened late. After: Sensitive claims triggered a quick review gate with tracked comments and approvals.
• Before: Prep time went to document wrangling. After: Time shifted to narrative refinement and targeted follow-ups.

Key Takeaways

• Unify external research and internal notes under a permissions-aware index so briefings start from the same library of truth.
• Use retrieval-augmented generation with citations to deliver concise, defensible summaries that survive scrutiny.
• Enforce licensing and sharing rules in the output layer; policy filters prevent risky excerpts from leaving the building.
• Keep AlphaSense, Gartner, and Notion in place; orchestrate them with indexing, templates, and a light approval gate.
• Invest in durable internal pages and topic packs; reusable structures speed prep for recurring executive forums.

FAQ

What tools did this integrate with?
We indexed approved exports from AlphaSense, licensed Gartner Research, and internal memos in Notion. Summaries were generated via a retrieval-augmented pattern using Azure OpenAI: Use your data, and briefings were delivered to the executive prep channel and meeting invites without moving content out of its source systems.

How did you handle quality control and governance?
Every brief carried inline citations and links back to sources. Policy filters enforced excerpt limits and blocked non-shareable text, replacing it with abstracts and links. A review gate let Investor Relations and Legal approve sensitive claims. The system logged sources, prompts, policy checks, and approvers for each briefing so teams could audit what was shared and why.

How did you roll this out without disruption?
We started with a pilot on investor prep, indexing a small set of AlphaSense exports, selected Gartner reports, and core Notion pages. Analysts continued their existing process in parallel. After validating accuracy and policy behavior, we expanded indexing and made the RAG briefs the default starting point, keeping a manual path for unique or confidential topics.

What about licensing and restricted content?
Licensed sources were tagged with allowed usage. The renderer enforced excerpt limits and blocked redistribution of restricted content. When restricted text appeared in a draft, it was replaced with an abstract and a link back to the source repository. Legal reviewed sensitive claims before circulation, and access controls ensured only entitled users could open source documents.

How do you keep content current and avoid stale talking points?
Index refreshes ran on a set cadence aligned to research updates, with freshness signals visible in the brief. Topic packs referenced dynamic queries rather than static files, and stale items were flagged for analyst review. Notion owners received prompts to update internal pages when related external sources changed.