Custom AI agents
Agents that use approved context and tools for multi-step work.
Explore Custom AI agentsServices
Practical AI systems built around real business work
CombineApps maps the workflow first, then chooses ordinary automation, an AI agent, an MCP connector, or a combination. The architecture follows the job, available access, and level of human control required.
AI agent orchestration
Coordinate specialized agents, state, review, and routing.
Explore AI agent orchestrationWorkflow automation
Connect tools and remove repetitive manual handoffs.
Explore Workflow automationMCP & connectors
Controlled access to approved business tools and data.
Explore MCP & connectorsInfrastructure & DevOps
Deployment, monitoring, scaling, failures, and cost controls.
Explore Infrastructure & DevOpsData & reporting
Scheduled, traceable reporting from approved data sources.
Explore Data & reportingProduction readiness
The system around the model matters
Relevant builds include a plan for authentication, permissions, evaluation, logs, errors, cost, and escalation—not just a prompt and a model call.
Deployment depth depends on the workflow. We document ownership and operational expectations so your team knows how the system is tested, observed, stopped, and improved.
How CombineApps worksStart with one workflow