Create Your Agent

Custom AI Agent Builder

Build an AI Agent Around Your Business

Tell us what you want to automate, which systems your agent should use, and the outcome you want to achieve. We will turn your request into a practical AI agent plan.

No technical knowledge required
Designed around your workflows
Human-reviewed before deployment
YOUR AGENT
CRM Customer data
Email Communication
Knowledge Business context
Workflows Actions
01
Describe the job

Choose the business role or outcome.

02
Select capabilities

Choose what the agent should handle.

03
Connect your systems

Tell us which tools it should use.

04
Submit your request

We review and design the solution.

Build Your Agent

What should your AI agent do?

Complete four short steps. Your selections will be organized into a project request for the Sovereign Solutions team.

Step 1 of 4

Choose the agent's primary role

Select the closest match. You can provide more detail later.

Step 2 of 4

What should the agent be able to do?

Select every capability that applies.

Step 3 of 4

Which systems should it connect with?

Select the tools your agent may need to access or update.

Step 4 of 4

Tell us about the project

Give us enough context to understand the opportunity and recommend the right next step.

What Happens Next

From request to working AI agent

Every project begins with the business process—not the technology.

01

Review

We review your workflow, goals, selected systems, and business context.

02

Design

We define the agent's responsibilities, knowledge, actions, permissions, and guardrails.

03

Build

We connect the required tools, workflows, data sources, and interfaces.

04

Deploy

We test the agent, launch it with human oversight, and monitor performance.

Frequently Asked Questions

Questions about custom AI agents

Practical answers about design, integrations, security, and implementation.

A custom AI agent is a purpose-built digital worker designed around a specific business role, workflow, or outcome. It can understand information, follow instructions, use approved data, connect with business software, and complete defined actions.

A chatbot primarily answers questions. An AI agent can also retrieve data, update systems, trigger workflows, create reports, qualify leads, schedule meetings, monitor processes, and coordinate multi-step tasks.

Yes. Depending on the platform and available permissions, agents can connect with CRMs, email platforms, databases, Microsoft 365, Google Workspace, support systems, internal applications, and workflow automation tools.

No. You only need to explain the business process, current bottleneck, systems involved, and desired result. Sovereign Solutions translates those requirements into the technical design.

The timeline depends on the number of workflows, integrations, data sources, security requirements, and approval processes. A focused first version can often be delivered faster than a large, multi-department agent system.

The goal is usually to remove repetitive work, accelerate information access, reduce manual handoffs, and help employees focus on higher-value responsibilities. Human review and escalation can remain part of the workflow.

Security requirements are defined during solution design. This can include role-based access, limited system permissions, approved knowledge sources, activity logging, human approval, data minimization, and controlled escalation.

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10–100 Employees

AI-Ready SMB Technology Stack
AI-Ready SMB Technology Stack

100–1000 Employees

Enterprise AI-First Modernization Stack
Enterprise AI-First Modernization Stack

Foundational control

Advanced control

  • Approved Business AI Platform
  • Gives employees a secure AI option instead of forcing them toward random consumer tools.
  • AI Email and Phishing Security
  • Protects against AI-enhanced phishing, impersonation, credential theft.
  • Endpoint Security
  • Secures the devices employees use to access AI tools, business systems, and sensitive company data.
  • AI Agent Security
  • Controls AI agents, phone agents, chat agents.
  • Logging and Monitoring
  • Provides visibility into AI use, data movement, file access, AI agent activity, and unusual behavior.
  • Incident Response for AI
  • Establishes a practical response plan for AI-related incidents before they become customer, legal, or regulatory issues.
  • AI Security Training
  • Trains employees on safe AI use, prohibited data sharing, AI phishing, prompt safety, reporting, and file handling.
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Foundation Layer

Execution Layer

Control Layer

Optimization Layer