Custom AI agents built around your workflows.
Not every business workflow fits a template. AstraGenie's agent builder lets you define exactly what your AI agents do, what tools they use, and how they coordinate — then deploys them in days.
What you can build with custom AI agents.
Custom agents handle the workflows that prebuilt teams cannot — proprietary logic, unique integrations, and multi-step orchestration designed around how your business actually runs.
Task-specific agents
Define an agent that does one thing extremely well: qualify leads, draft proposals, monitor inventory, route tickets. Single-purpose agents are predictable and easy to evaluate.
Multi-agent workflows
Chain agents together so the output of one becomes the input of the next — across departments, without human handoffs. Sales hands to ops, ops hands to support, support hands back to sales.
Tool-connected agents
Connect agents to your CRM, Slack, email, databases, APIs, and any SaaS tool you already use. The agent works inside your stack, not next to it.
Full observability
Every agent action is logged. You see what ran, what it decided, and what to improve — all in the observability dashboard.
How custom AI agent development works.
1. Define your workflow
Tell us what the agent needs to do, what inputs it receives, and what output you expect. We map the decision points and the success criteria.
2. Select or build the agent
Use the AstraGenie agent builder to configure the agent: tasks, tools, decision logic, and escalation rules. Reuse pieces from prebuilt teams when they fit.
3. Connect your tools
Integrate with your CRM, data sources, communication tools, and APIs in the connection layer. Authentication, secrets, and rate limits are handled.
4. Deploy and observe
Go live. The observability dashboard shows every action your agent takes, every decision it makes, and every tool it calls — in real time.
5. Iterate and improve
Use real performance data to tune agent behavior, adjust thresholds, and expand capabilities. The agent gets smarter without a re-engineering project.
When to build custom agents vs. deploy prebuilt teams.
Prebuilt AI teams are the fastest path to automation — most businesses should start there. Custom agents make sense when your workflow has proprietary logic, unique integrations, or requirements no template covers.
Choose prebuilt when
Your workflow looks like a standard marketing, sales, ops, support, or dev function. You want to be live in 7 days at the lowest cost. The team's templated decision logic is already a good fit for your business.
Choose custom when
You have proprietary decision logic. You need non-standard integrations or internal APIs. Your workflow requires complex multi-step orchestration. You operate in an industry with specific compliance needs.
Ready to build your custom AI agent?
Tell us what it needs to do.
Bring us the workflow. We'll scope the agent, design the orchestration, and deploy in days.