Operational AI across the systems you already run.
Governed by your rules. Deployed on your infrastructure.
The AI orchestration layer your stack is missing.
Every enterprise already runs systems of record: CRM, ERP, helpdesk, finance, and in telecom and complex operations, BSS platforms for billing, ordering and customer accounts. The pressure now is to act on what’s in them faster: qualify inbound demand, move an order forward, answer a customer without a person touching every step.
Giving a general-purpose model direct access to those systems trades one problem for a worse one: an agent that reads and writes your data with no defined scope, no approval path and no record of what it did. Agent frameworks automate single steps but carry no shared context between them, and assistants bolted onto each tool only search faster inside the same silo.
What’s missing is a layer that holds the context, enforces the rules and leaves a trail.
For teams that run on systems of record.
Customer and order operations
GC runs the commercial and customer layer on top of your existing stack: inquiries, eligibility checks, order capture and hand-off to fulfillment. Systems of record stay where they are. Example: regional fiber and telecom operators.
Complex sales and support
Where every sale is a project, GC connects your CRM, support and billing, qualifies leads on your website, handles routine support and keeps each deal as a structured project.
Catalog and change management
An expert agent on vendor documentation and your own runbooks answers catalog questions and plans changes from your catalog extracts. Example: offer management at large telecom operators.
Your context, plus your systems.
MCP Integration Layer
Data stays where it is. GC reads, acts, and writes back through MCP with a full audit trail. No migration.
Business Context for AI Execution
Agents know what is in each connected system and act inside the tools your staff already use.
People and Agents in One Process
Assign tasks to a person or an agent, with governed access, execution history and human approvals where rules require them.
From first inquiry to fulfilled order.
A visitor checks what you can serve
The website agent checks the address against your coverage data, shows the plans available there and captures the inquiry, before a person is involved.
Inbound demand becomes records
Web messages, emails and forms become structured records: who they are, what they want, where they are in the process, and who handles them.
A business customer gets a quote
The agent works through sites, capacity and terms, builds the quote from your catalog and pricing rules, and sends it to the right person for approval.
The order reaches fulfillment
A confirmed order goes to the systems that provision it, with the full context attached: what was agreed, with whom and on what terms.
See it running on your systems.
Ask a question or request a demo on a process from your own stack. The team replies within one business day.