All Articles
Filter by Category
Archive
- Tradecraft & Analyst Skills
- Productivity & Reporting
- Writing & Communication
- Generative AI
- Cyber Threats & Security
- Humans & AI
- Search & Discovery
- Help Center
- emergency response
- geopolitical
- Live Events
- Popular
- Wild Dog AI Podcast
- Finance
- Medical
- Communication Strategy
- OSINT
- Politics
- Private Investigation
- Templates
A Generation of Analysts Is Learning to Use AI Before They Learn to Think Like Analysts
AI fluency and analytical judgment aren't the same skill — and right now, one is being trained at the expense of the other. Here's what's actually being lost as teams race to adopt AI, and what it takes to build analysts who think with AI instead of just using it.
What Private Equity Due Diligence Looks Like When AI Is in the Workflow
Private equity deal timelines demand both speed and defensibility — and most AI tools only deliver one. This post examines what enhanced due diligence research actually requires when findings need to travel from analyst to investment committee to LP scrutiny, and how a structured AI workflow built around curated source collections and embedded citations changes what analysts can produce and stand behind.
The After-Action Report Nobody Reads, & How to Fix It
Most after-action reports end up in a shared drive folder that nobody opens twice. They arrive too late, cover too much ground, and leave the reader doing the analytical work the report was supposed to do for them. This post follows Ted — an analyst who cracks the AAR problem not through better writing, but through a smarter workflow — and breaks down exactly how he produces structured, readable, actionable after-action reports in under an hour.
Election Cycles Are the Hardest Intelligence Environment to Report In. Here's Why.
Election cycles don't just create more work for intelligence analysts — they fundamentally alter the conditions under which reliable analysis is possible. Disinformation moves faster than verification, source credibility degrades under political pressure, and the demand for defensible assessments peaks precisely when the information environment is least trustworthy. This post examines what structured, defensible election-cycle intelligence actually requires and how to build the reporting infrastructure before the cycle puts it to the test.
How Travel Risk Assessments Are Evolving
A travel risk assessment produced on Monday can be outdated by Thursday. In threat environments that shift within hours — civil unrest, weather disruptions, rapidly changing health advisories — static country reports can't keep pace. This post breaks down why the traditional model is no longer sufficient, what a modern travel risk assessment actually requires, and how GSOCs are adapting their workflows to meet a duty of care standard that has grown significantly more demanding.
What Happens When Your Intelligence Tool Goes Down During an Active Incident
At 2:31 AM, the intelligence platform goes offline. The analyst still has raw telemetry and endpoint logs — but the analytical layer tying it all together is gone. This post walks through what platform failure actually costs during an active incident, what mission-critical continuity requires from any AI intelligence tool, and the six questions every procurement team should be asking before they sign a contract.
The Watchfloor Approach to Brand Intelligence
Most organizations treat reputation management as a communications function: monitor casually, react when something breaks, issue a statement, move on. But in a threat environment where a coordinated disinformation campaign can generate press coverage before the morning standup is over, that posture isn't enough. This post applies the operational logic of an intelligence watchfloor — continuous monitoring, structured assessment, rapid escalation — to brand risk, and walks through a four-stage intelligence cycle that turns reputation management from a reactive cleanup exercise into a proactive discipline.
Brand Intelligence Isn't Just for Marketing Anymore
Brand risk isn't a marketing problem anymore. A deepfake, a data breach, or a coordinated disinformation campaign can trigger consequences across security, legal, investor relations, and HR simultaneously. Here's why cross-functional brand intelligence is now a mission-critical input — and what it looks like when it works.
Intelligence Report vs. Intelligence Brief: What's the Difference and When Do You Use Each?
Intelligence reports and executive briefs serve fundamentally different purposes, but many analysts default to one format out of habit rather than choosing based on what the situation actually requires. This guide defines both formats clearly, breaks down the key distinctions across audience, purpose, length, and structure, and gives analysts a four-question decision framework for choosing the right one every time. It also covers a workflow approach in Indago that lets you produce both formats simultaneously from the same source collection — no duplicate work required.
Onboarding a New Analyst? Here's How to Use Your Existing Report Archive as a Training Asset
When an experienced analyst leaves, they take more than their expertise — they take the reasoning, source logic, and analytical judgment that made their work credible. This piece breaks down how intelligence teams can use their existing report archive, templates, and source collections as a structured onboarding asset, so new analysts inherit a tested framework instead of starting from scratch. The result is faster ramp time, more consistent output, and institutional knowledge that compounds instead of walking out the door.
How Intelligence Teams Evaluate AI Reporting Tools: A Buyer's Checklist
This guide breaks down how to evaluate AI reporting tools across accuracy, security, workflow, and governance. It highlights the questions that actually matter in high-stakes environments, from hallucination risk to data handling policies. If you’re considering an AI tool, this is the checklist to bring into every vendor conversation.
From Hurricanes to Wildfires: Scaling Intelligence Across Any Incident
Emergency managers don't get to choose their incidents — one shift might start with a hurricane and end with a wildfire, and the reporting demands look completely different each time. Yet the expectation stays the same: accurate, sourced intelligence delivered faster than the crisis evolves.
This piece walks through three real-world incident scenarios and what it actually takes to keep reporting up to speed when the situation on the ground keeps changing.
3 Finance Intelligence Reports Watchfloor Analysts Can Deliver in Record Time Using Indago
Watchfloor analysts in finance and market intelligence face a pressure most roles don't: leadership needs answers before the market reacts, and the window between a breaking event and an executive briefing is often measured in minutes.
This piece walks through the three reports that define success in this role, the specific workflow challenges each one creates, how the best analysts are producing these accurately and under pressure — and what the right tooling actually makes possible.
11 Reports Cyber Threat Intelligence (CTI) Analysts Can Create Faster & More Reliably with Indago
Cyber threat intelligence analysts produce a wide range of reports—from actor profiles and malware analysis to TTP deep dives and vulnerability exploitation briefings. This article explores 11 common CTI reports teams create and the workflows behind them. Learn how analysts can streamline the reporting process using Indago while maintaining full control over analysis and validation.
Multilingual OSINT in Practice: How Analysts Work Across Languages Without Translation Bottlenecks
Analysts across government agencies, private intelligence firms, and corporate security teams face a persistent operational challenge: critical intelligence signals frequently emerge first in local-language media, hours or even days before appearing in English-language outlets that dominate traditional OSINT workflows.
Modern OSINT investigations require analysts to monitor foreign media narratives, identify emerging regional dynamics, and validate information across multiple languages simultaneously.
AI-Driven OSINT Summarization: How Analysts Turn Open-Source Collection into Intelligence Deliverables
The most common misconception about AI-driven OSINT summarization is that it's about automating analysis. It's not. The real value lies in automating the mechanical work that prevents analysts from doing analysis in the first place. The future of OSINT is about machines doing the preparation so that humans can think better, faster, and with greater confidence in high-stakes environments.
The Research Assistant That Doesn’t Forget: How Teams Build Institutional Knowledge Inside Indago
Intelligence operations are only as strong as the institutional knowledge that supports them. When critical processes, templates, and analytical frameworks live solely in individual analysts' heads, organizations face an inevitable choice: accept constant reconstruction of workflows or build systems that preserve and compound knowledge over time.
The 30-Minute SITREP: How Teams Turn Daily Intelligence Updates Around Before Standup
Teams using Indago report consistent 70% reductions in SITREP production time, with some achieving the full 30-minute target within their first week of implementation. The time savings are strategic, allowing analysts to dedicate more attention to emerging threats and deeper analysis.
Bias Detection in Intelligence Reporting: What Tools Can (& Can’t) Catch
In an era where generative AI can both accelerate drafting and amplify error, the invisible risk is not a missing footnote; it’s the bias you don’t catch. Indago approaches this problem in practice: a workflow‑first platform with a built-in bias detection model that flags potential sentiment, confirmation, and selection bias in sources and report text.
What Makes a Modern Intelligence Reporting Platform (& Why Legacy Tools Fall Short)
Modern intelligence work demands more than stitched‑together tools and static documents. Teams using Indago report measurable improvements—AI‑generated first drafts that are 75–85% complete, 7+ days saved on complex products, and roughly 30% reductions in per‑report production costs—while keeping analysts firmly in control.