CASE STUDY
From 3 Days to 22 Minutes: How A Risk Investigation Firm Transformed Intelligence Reporting with Workstation
A leading risk management and investigations firm replaced manual analyst workflows with Workstation's agentic AI platform — delivering comprehensive, cited reports in a fraction of the time while eliminating third-party data leakage.
99.5%
Faster report time
8x
Analyst capacity increase
3→1
Analysts per project
Zero
Third-party data leakage
At a Glance
INDUSTRY
Risk Advisory & Investigations
SECTORS
Corporate, Private, Government
USE CASE
Automated Intelligence Research &
Reporting
DEPLOYMENT
Customer VPC with private, licensed
frontier model
Key Outcomes
22-minute report vs. 3-4 days
8x analyst project capacity
Wider research breadth
Zero third-party data exposure
The Challenge
The client is a leading risk advisory and investigations firm serving corporate, private, and government sectors. Their core business model — selling comprehensive intelligence reports as a service — depended on teams of analysts manually following checklists and standard operating procedures across multi-day research workflows.
This approach carried significant overhead: each report required a team of three analysts working 3-4 days, making it difficult to scale the business without proportionally increasing headcount. The heavy cost of analysts following checklists created a bottleneck that directly constrained revenue growth.
The client had explored using commercially available AI tools, but faced a critical barrier: information leakage. Both the LLMs themselves and the tools built on top of public LLMs posed unacceptable risks: traffic analysis, web search history logs, and query data could expose sensitive investigation details to third parties. For an organization dealing in intelligence, this was a non-starter.
The Solution
Workstation built a multi-agent system that mirrors the client's existing organizational structure and methodology. Rather than forcing a new workflow, the platform was configured to operate the way the client's teams already worked — just faster, more automated, and at scale.
The implementation involved three key components:
Embedded SOPs and methodology: The client's standard operating procedures, research methodologies, and role definitions were encoded directly into Workstation's memory system. This ensured the AI followed the exact same rigor and structure as the human team.
Multi-agent architecture: Sub-agents were built to handle specific roles — mirroring the analyst specializations within the client's team — with a lead agent orchestrating the overall research methodology.
The Deployment
To meet the client's strict security requirements, Workstation deployed directly into the customer's private cloud, using a private, licensed frontier model. This architecture ensures that no data — including prompts, queries, search patterns, or report contents — ever leaves the client's controlled environment.
This deployment model represents a fundamentally different approach from Labs' own AI tools: the client maintains complete data sovereignty while still accessing frontier model capabilities.
The client maintains complete data sovereignty while still accessing frontier model capabilities.
The Results
To validate the implementation, Workstation's agent system was A/B tested head-to-head against the client's human analyst team on the same research task. The results were transformative.
22 minutes
Workstation produced a cited, comprehensive intelligence report — a task that previously required a team of 3 analysts working 3-4 days.
More Coverage
While depth was slightly shallower, the AI covered significantly wider research ground and uncovered issues that human analysts missed entirely.
8x capacity
A single analyst can now guide and oversee 8x more projects, directly expanding the client's revenue capacity without additional headcount.
Human-in-the-loop
Analysts have time to guide the AI to press deeper into specific areas of interest, combining AI speed with human judgment and domain expertise, resulting in better results for their customers.
"Now that I look at what Workstation is and I'm understanding the framework of what it is, it's so much better than everything else I've seen."
Related Insights
SECURITY
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Your company's real edge isn't customer data — it's your processes and strategies.
DATA PRIVACY
Your Silent Data Breach is Coming from Inside the House
How to use AI safely at work without exposing your enterprise data.
AI AT WORK
From Prompt Engineer to AI Orchestrator: The Future of Work
The AI revolution isn't replacing workers — it's elevating them into orchestrators.
Ready to Transform Your Workflows?
See how Workstation can embed your team's methodology into an agentic AI system — with enterprise-grade security and zero data leakage.
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