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Every Monday morning, the market intelligence team at one of our long-standing clients—a global advisory firm—faced an overwhelming volume of incoming research: 100+ PDFs, spanning syndicated market reports, competitive analyses, regulatory updates, and internal briefing notes.
Each document held signals critical to clients, partners, and internal stakeholders. But distilling them into structured, tone-consistent, insight-rich summaries was a Sisyphean task. Analysts spent hours summarizing. Editors fought to preserve voice and nuance. Delivery timelines stretched out. Strategic insights sat idle.
When they partnered with Cognition, they weren’t just looking for automation. They were looking for acceleration without compromise.
The Problem: Insight Bottlenecks at Scale
Despite an experienced team and well-defined editorial standards, the client struggled with scale:
- Reports weren’t being published fast enough to stay ahead of the market.
- Quality dipped under pressure—generic AI summarizers lacked domain awareness.
- Skilled analysts spent more time rewriting content than identifying trends.
- Editorial teams were trapped in a loop of repetitive review and rewrites.
As their Director of Market Intelligence told us:
“We didn’t need AI to replace our people. We needed it to elevate them.”
The Cognition Solution: Purpose-Built AI + HI Workflows
Cognition deployed a hybrid intelligence (HI) pipeline designed specifically for high-volume content workflows in regulated, insight-driven industries.
Here’s how we did it:
- Smart Ingestion: Our platform automatically scanned and categorized 100+ incoming documents weekly, extracting the most relevant insights based on topic models, source weightage, and recency.
- Editorially Tuned Summaries: Using custom-tuned LLMs trained on the client’s historical content and editorial guidelines, we generated first-draft summaries that mirrored their in-house tone and structure.
- Human-in-the-Loop Validation: Cognition’s UI enabled editors to rapidly fact-check, refine, and approve summaries—cutting manual editing time by 70%.
- Traceability and Governance: Every summary included source tagging and audit trails, ensuring compliance with editorial and legal review standards.
The Outcome: 5x Throughput, Zero Compromises
In just six weeks, the client saw transformational results:
- Summaries published 5x faster, with time-to-publish dropping from 48 hours to under 6.
- Analysts shifted focus from summarizing to identifying patterns and anomalies across data sets.
- Editorial quality and tone consistency were preserved, with zero post-publication corrections.
- Leadership visibility soared, as more high-quality insights made their way into stakeholder decks, client presentations, and internal dashboards.
And perhaps most importantly—
“For the first time, we could scale without sacrificing what made our insights credible.” – Client, Head of Content Strategy
Why It Worked: Augmentation, Not Automation
This use case reflects Cognition’s core belief:
AI should amplify human intelligence, not attempt to replace it.
Our systems do the heavy lifting—intelligently extracting, drafting, tagging—while keeping humans at the helm for judgment, context, and tone. The result is a content operation that’s faster, leaner, and more strategic.
Ready to Scale Your Content Engine?
At Cognition, we help research, marketing, and intelligence teams move from content backlog to insight acceleration—without trading off quality.
If your teams are buried under PDFs, reports, and unread dashboards, let’s talk.
We’ve done it before. We’ll do it for you.
→ Get in touch to explore how AI + HI can transform your workflow.
Hi, This is Emma. Let’s get the conversation started!