Control Centers
Same workflows. 10x the capacity.
Control Centers that multiply what your team can do—without new tools to learn or workflows to change. Pre-built operations. One click. Done.
The gap between "we have ChatGPT" and production-grade AI
Most AI fails because it requires people to change how they work. We took a different approach.
- Requires prompt engineering
- Generic outputs need editing
- No connection to your data
- Adoption stalls after novelty
- Pre-built operations—click and execute
- Context-aware, production-ready output
- Integrated with all your systems
- Same mental models, multiplied output
The Architecture
Two modes. Complete coverage.
Mode 1 helps you act. Mode 2 tells you when to look.
Worker-Initiated Execution
"Help me do X right now."
You trigger the AI. It executes. You review and approve. This isn't prompting a chatbot—it's pre-built operations. Click a button, get results.
"Prep me for my call"
Complete brief in 30 seconds
"Pull full context on this customer"
Every interaction, ready to resolve
"Prep my QBR materials"
Usage, health, expansion—compiled
"Summarize this incident"
Timeline, alerts, impact—documented
[ Figma: Workflow Diagram ]
Mode 2 finds the problems. Mode 1 helps you solve them.
Where It Gets Powerful
Workflow chains: one action triggers a cascade.
Build your list
"Create a prospecting list" → AI builds and enriches
Send at scale
50 personalized emails drafted. Review, approve, sequenced.
After each call
Booked a demo? Follow-up drafted, prep doc created, meeting scheduled.
Role-Specific Solutions
Control Centers by team
Sales Control Center
Mode 1 — You trigger
- •Pre-call prep (30 sec)
- •Post-call follow-up drafts
- •Prospect research
- •CRM updates from calls
Mode 2 — System alerts
- •Deal health signals
- •Pipeline concentration
- •Champion decay
- •Forecast risk
Support Control Center
Mode 1 — You trigger
- •Ticket context assembly
- •Response drafting
- •Escalation packages
- •Customer timeline
Mode 2 — System alerts
- •SLA breach warnings
- •Frustration signals
- •Repeat issue patterns
- •Churn risk
Customer Success Control Center
Mode 1 — You trigger
- •QBR prep
- •Health score context
- •Renewal preparation
- •Expansion research
Mode 2 — System alerts
- •Usage decline
- •Churn risk signals
- •Expansion timing
- •Champion departure
Engineering Control Center
Mode 1 — You trigger
- •PR context
- •Incident compilation
- •Documentation drafting
Mode 2 — System alerts
- •PR aging warnings
- •Deploy correlation
- •Sprint health
The Process
Custom-built for your workflows.
Discovery & Design
- Map your workflows
- Identify high-leverage operations
- Design the architecture
Build & Iterate
- Develop with check-ins
- You shape the result
- Integrate your systems
Deploy & Optimize
- Launch into your environment
- Monitor and tune
- Train your team
Ready to multiply capacity?
Book a discovery call. We'll talk through your workflows, identify the biggest opportunity, and show you what a Control Center could look like for your team.