PHASE 01
Context & workflow audit
Map how work moves, where knowledge leaks, and which data boundaries matter.
AI operations infrastructure · Pittsburgh, PA
AI that actually understands your business.
Move past generic chatbots. We install a unified AI system grounded in your SOPs, client documents, and real workflows—so your team stops starting from scratch.
Zero training on your dataEnterprise-grade privacyYour access rules preserved
Today, at a glance
What your unified AI handles
System active
Donor acknowledgment drafted
Past campaign history applied
Tax client checklist generated
Prior-year return cross-checked
Intake form summarized
Compliance guardrails applied
Invoice routed for approval
Vendor contract verified
Hours returned to your team today
36.4
The system works quietly. Your people stay in control.
The real constraint
Generic AI has no memory of how your business works.
Every blank chat box asks your team to reconstruct the company from scratch. The result is more prompting, more checking, and another disconnected tool to manage.
Standard AI
The prompt amnesia loop
01
Context scattered across drives and inboxes
02
Instructions rebuilt in every conversation
03
Outputs detached from approvals and controls
04
Confident answers with no business grounding
The Lunace system
Context becomes infrastructure.
One connected knowledge layer
Skills configured for recurring work
Sources and boundaries built into the process
Human review at consequential moments
Context in the workflow
One system. Different work.
The value is not a clever chatbot. It is relevant context appearing inside the work your team already needs to finish.
Protect the human work
Less administrative drag. More time for people.
Turn complex case information into clear, reviewable work while preserving privacy and professional judgment.
Case documentation summaries
Intake triage and routing
Compliance-ready audit trails
Your team reviews and decides. The system organizes the work.
The rollout roadmap
Built with your team, not dropped on them.
We move from observation to architecture, then prove the system on real work before launch.
PHASE 02
Architecture & knowledge vault
Configure workspaces, permissions, connected knowledge, and reusable skills.
PHASE 03
Side-by-side tuning
Test on real business work, refine guardrails, and train the team hands-on.
PHASE 04
Launch & continuous care
Go live with monitoring, documented optimizations, and safe model updates.
Security by architecture
Your context stays yours.
Security is not a settings page we address after launch. Data boundaries shape the architecture from day one.
Isolated company workspaces
Your business context remains separated from public consumer accounts.
Zero model training
Your company data is not used to train public AI models.
Role-based access
People and systems see only the knowledge their responsibilities require.
Human checkpoints
High-impact work pauses for review instead of silently acting on assumptions.
Clear answers
Before we talk.
No inflated claims. No black-box handoff. Just a practical path from scattered tools to shared context.
Usually, no. We begin with the systems your team already relies on, then connect or configure the right AI workspace around them.
Your context is the advantage
Stop rebuilding your business in every prompt.
Start with one workflow that matters.