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AI that works inside your business.

Six capabilities, configured around your roles, processes and software, and combined into a system built for your company. Below: what each one does, and what a full deployment looks like end to end.

01

Custom AI agents

AI agents configured around specific business roles, workflows and responsibilities. They research, analyze, communicate, update systems, generate documents, manage processes, trigger actions and make recommendations, and they perform the actions you approve.

  • Research
  • Analysis
  • Communication
  • System updates
  • Documents
  • Approved actions
02

AI automation

Multi-step business processes automated end to end, not isolated tasks. The agent carries a process from the first signal to the last update and hands exceptions to a person.

  • Customer onboarding
  • Lead management
  • Invoice processing
  • Reporting
  • Support
  • Scheduling
  • Follow-up
03

AI integrations

AI connected directly to the software the company already uses. Read from it, write to it, act in it, with the permissions you grant and nothing more.

  • CRM
  • Email
  • Calendars
  • Accounting
  • Messaging
  • Databases
  • APIs
  • Internal systems
04

Voice AI

AI phone systems that handle inbound and outbound conversations on real phone numbers, in your hours, with your knowledge, and hand off to people when the call needs one.

  • Customer support
  • Appointment booking
  • Sales qualification
  • Lead follow-up
  • Collections
  • Internal operations
05

Internal AI systems

Secure internal tools built on company knowledge and data: assistants that answer from your documents with sources, copilots for teams, and reporting that reads your own systems.

  • Knowledge assistants
  • Internal copilots
  • Document intelligence
  • Decision support
  • Search
  • Reporting
06

Multi-agent systems

Several specialized agents working together across a larger process, coordinated by an AI Business Manager: a sales agent, a research agent, a CRM agent, a follow-up agent and a management agent as one system.

  • Coordinated processes
  • Hand-offs between agents
  • One manager, many specialists
What we can build

Example AI systems.

These are examples of the shape a deployment takes, not case studies. Your system is designed around your process.

AI sales system

  1. Research leads
  2. Enrich data
  3. Qualify prospects
  4. Draft personalized outreach
  5. Send follow-ups
  6. Update CRM
  7. Book meetings
  8. Notify the sales team

AI customer operations

Receives website requests, email, calls, WhatsApp and chat.

  1. Identify the customer
  2. Retrieve account information
  3. Answer questions
  4. Perform approved actions
  5. Escalate exceptions
  6. Update customer records

AI finance operations

Receives invoices and receipts.

  1. Extract data
  2. Classify
  3. Reconcile
  4. Detect anomalies
  5. Follow up outstanding items
  6. Prepare management reports

AI executive assistant

  1. Read relevant email
  2. Prioritize
  3. Prepare replies
  4. Organize information
  5. Schedule meetings
  6. Prepare a briefing
  7. Track actions

AI knowledge system

Receives Google Drive, documents, databases, internal knowledge, the CRM and operational systems.

  1. Index and connect
  2. Answer employee questions with sources
  3. Execute permitted actions

Employees ask in plain language and get sourced answers from company information. Where permitted, the AI also acts.

AI operations system

  1. Monitor operational information
  2. Detect exceptions
  3. Initiate workflows
  4. Coordinate teams
  5. Contact vendors
  6. Update systems
  7. Escalate decisions

Custom AI application

  1. Map the workflow
  2. Design the interface
  3. Build on the platform
  4. Deploy to your team

When a workflow needs more than the existing Cybella interfaces, we build a custom application or interface on top of the platform.

Start with one process. Expand from there.

Tell us the workflow and the systems it touches. We propose the deployment.

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