Case Studies
Not theory. Production.
Representative scenarios from federal and commercial AI engagements. The specifics vary. The pattern is consistent: AI deployed into production workflows, measurable time recaptured, humans doing higher-value work.
Representative scenarios based on common engagement patterns.
Federal Agency
The Challenge
A federal agency processing 200+ vendor applications per quarter entirely by hand. Each application took 5 business days to move through document review, validation, data entry, and compliance checks. Staff time was saturated. Application backlogs grew. The process worked until volume scaled, and then it didn’t.
What We Built
An AI agent system handling the full intake pipeline. Documents come in, get validated against submission requirements, and data is extracted and populated into the agency’s existing systems automatically. The agent flags exceptions and routes only those to human review. Integration with existing compliance databases meant no rip-and-replace of systems already in use.
Results
4 hrs
Processing time, down from 5 business days
92%
Of applications handled without human intervention
+
Compliance accuracy improved against baseline
Defense Intelligence
The Challenge
A defense intelligence team spending 8+ hours every week assembling situation reports. Analysts pulled from classified systems, open-source feeds, and internal data repositories, then manually structured the output into a consistent format. High-skill people doing low-skill assembly work, every Monday without fail.
What We Built
An automated intelligence aggregation pipeline. The AI agent collects from approved source channels overnight, correlates related items, resolves contradictions in reporting, and drafts a structured brief in the team’s established format. By 0700, the brief is ready. Analysts open a finished document and spend their time evaluating and acting on its contents, not building it.
Results
0700
Weekly brief delivered automatically, every time
30+
Hours recaptured per month across the team
100%
Analyst time redirected from assembly to analysis
Financial Services
The Challenge
A compliance team manually reviewing 500+ transactions per day against regulatory requirements. The volume was unmanageable. Error rates climbed as the day went on. Regulatory response windows were tight, and drafting responses consumed hours that should have gone toward review. The team was running to stay in place.
What We Built
A continuous AI monitoring agent that scans transactions against the full regulatory rule set in real time. When a potential violation is identified, the agent drafts the initial regulatory response and routes the flagged item to the appropriate reviewer with context already populated. Human review time is focused on decisions, not discovery and drafting.
Results
95%
Of compliance reviews automated end-to-end
60%
Reduction in false positive rate
2 hrs
Regulatory response time, down from 48 hours
Every one of these scenarios started with a conversation about how the team actually worked. Not the org chart. The real operation. That’s where we start with you.