Case Studies
We measure success in business outcomes, not delivery milestones. Here's what that looks like in practice — across industries, workflow types, and implementation scales.
Featured
Financial Services · Document Intelligence
Challenge
A financial services firm was spending 6+ hours per analyst per day manually reviewing loan applications, extracting data from PDFs, and cross-referencing compliance checklists. The process was slow, error-prone, and blocking underwriting capacity.
What We Built
More Work
An e-commerce brand handling 1,000+ daily support tickets was drowning in repetitive requests. We built an AI triage system that auto-classifies, routes, and resolves 78% of tickets without human touch.
A B2B SaaS platform needed to compete with AI-first rivals. We designed and implemented a GPT-4o-powered in-app writing assistant with context awareness, user-specific tone, and structured output modes.
A legal team's institutional knowledge was locked in 12 years of unstructured documents, case notes, and email threads. We built a RAG system that surfaces cited precedent answers in seconds.
An operations team spent 10+ hours weekly manually syncing data across CRM, project management, and finance tools to compile reports. We automated the entire pipeline, with AI-generated executive summaries.
A growing company receiving 400+ applications per role needed a way to filter and rank candidates without increasing headcount. We built a multi-stage AI screening agent with configurable scoring rubrics.
A healthcare administration team managing referrals across multiple care pathways struggled with delays and missed follow-ups. We mapped their workflow, identified AI opportunities, then built the automation in a single engagement.
Our Process
One session to understand your workflow, identify the highest-ROI AI opportunity, and align on a concrete scope and success metric.
Dedicated AI specialists build the system, integrating it with your existing tools and data. You see progress weekly, not at the end.
Rigorous testing against real data and edge cases. We don't ship until the system performs reliably under production conditions.
Production deployment, full documentation, and 30 days of post-launch support. Your team owns the system — no dependency on us to run it.
Client Feedback
We'd been trying to automate this workflow for two years with off-the-shelf tools. CyberCore scoped it in a call, built it in three weeks, and it's been running flawlessly since. The ROI was immediate.
I expected consultants who'd recommend a roadmap. Instead I got engineers who shipped a working AI system. The fixed price made it easy to get buy-in internally — we knew exactly what we were committing to.
The scoping call alone was worth it. They immediately spotted a simpler solution than what we had in mind — and it worked better. That kind of AI expertise is rare to find without a massive agency overhead.
We were skeptical about the 4-week timeline. But they delivered on time, with documentation thorough enough that our internal team could maintain it. Not once did we feel like a client being managed — more like a team being collaborated with.
Work With Us
Every engagement starts with a free strategy call where we identify exactly where AI can deliver the highest ROI for your workflow.
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