AI & Automation Assessment
A focused review of workflows, bottlenecks, risks, and opportunities. You get a clear plan before committing to a larger build.
Private AI for real operations.
SteelCityIntel builds private LLM systems, workflow automation, and operator-facing dashboards. The goal is simple: better visibility, faster decisions, and systems that fit the way your team actually works.
Focus
Private AI · Intel
Stack
LLM-native
Engagements
Direct · By referral
Status
Taking inquiries
[01] · Capabilities
What we build.
Practical systems that make AI useful in day-to-day operations — not demos, not pilots, deployable tooling that fits the way your team already works.
Dashboards & AI Console Build
Operational dashboards and working AI consoles that bring data, alerts, and decisions into one operating view.
Private LLM
Private AI systems designed for internal use, better control, and a closer fit with how your team works.
Ongoing Support
Continuous improvements for prompts, workflows, dashboards, reporting, and operator experience.
[02] · Diagnostics
Why teams call us.
Most organizations don’t need more tools. They need fewer moving parts, better visibility, and a system that helps people act.
01
Manual work slows down decisions
Throughput
02
AI tools that don’t fit real workflows
Fit
03
Data spread across too many systems
Visibility
04
Privacy and access aren’t controllable enough
Control
05
Dashboards show numbers but don’t support action
Decision
[03] · Flagship
WorldView Console & Horizon Dashboards.
The visibility layer. Signals, updates, tasks, workflows, and AI-assisted analysis brought into a single operating view — the move from scattered information to shared awareness.
Built for analysts and operators — not for demos.
- Track what’s changing across feeds, signals, and queues in real time
- Surface what needs attention with priority routing and alerts
- Connect multiple inputs into one composable operating view
- Support analyst and operator workflows side by side
- Interact with private LLM tools inside the same environment
[04] · Engagement flow
How we work.
Four stages, no surprises. Each phase has a clear deliverable — you own the assets, end to end.
Assess
Workflows, bottlenecks, risks, opportunities — the lay of the land before anything is built.
Build LLM
Private AI scoped and deployed for internal use. Closed weights, controlled data, your environment.
Build console
Operator dashboards and AI consoles wired into the LLM and your data sources.
Operate
Ongoing improvements to prompts, workflows, reporting, and operator UX.
[05] · Open channel
Start a conversation.
Tell us what you’re trying to do. If we can help, we’ll say so. If we can’t, we’ll point you to someone who can.
Direct line
Email
info@steelcityintel.com
Response time
Typically < 1 business day
Engagements
Direct · by referral
Based
Pittsburgh, PA · United States
Support tier
Founders · personal
Inquiry form