AI Agent Development Services

In general, a deployed agent will land in the $200 to $2,000 per month range, depending on a blend of factors, including workflow complexity, run volume, AI models in use, the number of tool integrations, and the status of the underlying data and tech stack at kickoff. We will quote you a fixed estimate after scoping your requirements.

Four to fourteen days for most workflows, from kickoff to a system running in production. The variation is mostly about your data and integrations, not our build speed. A clean stack with a well-defined workflow can ship in under five days. More complex integrations and approval chains will take longer. We tell you which end of the range you're on before we build.

Your data stays where it lives. Your CRM, inbox, calendar, and project tools never move. Agents reach into those systems through credentials you control and can revoke at any time. Agents take the specific action the workflow calls for, with every step logged. The workflow logic, the agent runtime, and the orchestration layer all run inside a secure, hosted environment with encryption in transit and at rest, scoped least-privilege access, and full audit logging on every run. Your data is not used to train AI models, ours or anyone else's. You retain ownership of everything that runs through the system.

Every system ships with logging, alerting, and a kill switch. If an agent step fails or returns low-confidence output, the workflow either escalates to a human owner or pauses and waits for review. Most "wrong calls" never reach production because approval gates sit in front of any irreversible action. When something breaks in the wild, we see it the same day, not the same quarter.

Less than you think. We need a kickoff session, access to the relevant tools, an internal owner who can answer workflow questions, and your approval at the design and launch gates. The actual building is on us. Most clients spend ~15 minutes on a call with us once every 3-4 days during the build, mostly on review and approval, not on production work.

No. The system runs alongside your current process until your team is ready to let it carry the load. We deploy in a non-disruptive mode first, with humans in the loop on every step, and only widen the autonomy as the workflow proves itself. Your team learns what to hand off to the system, not to wrangle it.

Workflows always change. Each system is built in modular pieces so individual steps can be swapped, expanded, or retired without rebuilding the whole thing. The post-launch optimization window extends throughout the life of the engagement, and changes are scoped as small follow-on work and rolled into the managed service arrangement.

Those tools are good at moving data from point A to point B. They are not built to reason, draft, qualify, summarize, or handle exceptions. An Agent System uses Zapier-class automation where it fits, and uses AI agents where judgment is required. The result is one system that handles the entire workflow end to end, not a wall of disconnected zaps that still need a human to babysit them.

A freelance build typically optimizes for a specific tool, ships a working demo, and moves on. What's left behind is brittle, undocumented, and tied to whoever built it. Marshal builds production systems with logging, audit trails, approval gates, and a portable architecture. You also never have to think about staff turnover or tool changes, because we manage the service end to end.

There is a technical answer and a common-sense answer. First, the technical. Every system ships with built-in observability: run logs, success and failure counts, time-to-completion, and the specific outcomes the workflow was scoped to improve. We agree on the success metrics at kickoff, so "working" is not a matter of opinion at the end. Now, common sense. Did the work get done? Was it done correctly? Was it done within your policy and procedure guidelines? If those answers aren't obvious, then we built something that isn't actually solving a problem.

No. Agent Systems work in any business with a recurring workflow, a real operational bottleneck, and an internal owner. We've shipped systems for professional services, agencies, e-commerce, and founder-led B2B companies. The pattern that matters is the workflow shape, not the industry label.

That's the point of the consult. We map your operational surface, find the workflow with the highest leverage, and tell you whether it's a fit. If it isn't, we say so. If it is, you leave the call with a scoped problem and a real plan to solve it, not a vague promise.