AI Agent Engineering pricing.
Agent projects are priced based on how many workflows the agent handles, how many systems it needs to call, and how much testing a customer-facing deployment requires. Here's what drives the number.
What changes the number.
- Number of distinct tasks or workflows the agent needs to handle
- Number and complexity of systems/APIs it needs to integrate with
- Whether it's customer-facing (needs heavier testing) or internal-only
- Channel requirements: a single chat widget versus multi-channel (voice, SMS, Slack)
- How much existing API access is already available versus needing to be built
Included
- Workflow and scope design
- Full agent logic build
- Tool/API integrations
- Testing against real and adversarial inputs
- Escalation and handoff configuration
- Logging and review tooling
Not included
- Ongoing per-conversation AI model usage costs (billed at provider rates)
- Building new APIs on systems that don't currently have one (scoped separately if needed)
- Voice telephony line costs or SMS carrier fees
- Ongoing agent training and workflow expansion after launch
Example ranges, not fixed packages.
Single-workflow agent
Scoped after consultation
One well-defined task, like order lookups or appointment booking, with one or two tool integrations
Multi-workflow agent
Scoped after consultation
An agent handling several related tasks across multiple internal systems
Multi-channel deployment
Scoped after consultation
The same agent logic deployed across chat, voice, and messaging channels
What affects how long it takes.
- How many systems already have usable APIs versus needing new integration work
- Whether the agent is customer-facing, which requires more rigorous testing
- Number of distinct workflows the agent needs to support at launch
- How clearly defined the escalation and decision boundaries are going in
What we need from you.
- A clear description of the specific tasks the agent should handle
- API documentation or access to the systems it needs to call
- Examples of real customer or internal requests it will encounter
- Who should be looped in for escalations and how
From conversation to fixed quote.
Workflow mapping call
We walk through the exact tasks and decisions the agent needs to handle.
Systems review
We check what APIs and access already exist versus what needs to be built.
Scoped proposal
We send a fixed-scope proposal covering workflows, integrations, timeline, and price.
Kickoff
Once approved, we start with design and integration setup.
Common pricing questions about AI Agent Engineering.
Want a real number for your project?
Tell us what you need built. We will scope it and come back with a fixed quote based on your actual requirements.