Pricing
How much does a custom AI agent cost?
Short answer
A custom AI agent's cost depends almost entirely on the workflow: how many systems it touches, how messy the data is, how much human review it needs, and how reliable it has to be in production. There's no single sticker price — but a focused, single-workflow agent is typically far cheaper to build than teams expect, while broad, mission-critical systems cost more because of the engineering they demand.
At sammartin.ai, pricing is transparent and staged. Scoping starts at $5,000 (credited toward your build) and produces a fixed quote before you commit. You see the full build price — and an ROI estimate — before any larger spend.
- $5,000
- Scoping, credited to build
- 4–6 wks
- Typical build window
- Monthly
- Ongoing management
You're paying for production, not a prototype.
The model call is the cheap part. The cost lives in everything that makes an agent trustworthy: system integrations, context handling, evaluation, human review loops, guardrails, monitoring, and the tuning that keeps it accurate as your data changes.
- Number and complexity of system integrations (CRM, email, databases, internal tools).
- Data quality — messy, inconsistent, or document-heavy inputs take more engineering.
- How much human review and audit the workflow requires.
- Reliability bar — a back-office helper and a client-facing system are not the same build.
- Ongoing run cost, which good architecture and token discipline keep predictable.
Fixed scope, fixed quote, monthly management.
Scoping (~1–2 weeks, from $5,000) maps your systems, defines success, and estimates ROI — then produces a fixed build quote. That fee credits toward the build, so it's not money spent twice.
The build (~4–6 weeks) is quoted from scoping and delivers a launched agent with integrations, tests, guardrails, and handoff. Management is monthly: monitoring, exception review, cost control, and tuning.
Lean builds can cost far less than a big-vendor quote.
Five Star Quotes automated a document-heavy insurance quoting workflow on a lean, well-chosen stack — built in roughly eight days with development cost in the low hundreds of dollars. Not every project is that small, but it shows what disciplined scoping and architecture can do versus an open-ended enterprise engagement.
The opposite end exists too: Privylaw, a secure attorney-supervised platform, was a six-week build because the reliability and governance bar was high. The right number is the one scoping gives you for your workflow.
Related questions
- Why not just quote a flat price up front?
- Because an honest number requires understanding the workflow first. Quoting before scoping either pads the price for unknowns or underprices and creates change orders later. Scoping (from $5,000, credited to the build) removes that guesswork and gives you a fixed quote.
- Is the scoping fee refundable or credited?
- It's credited toward your build. Scoping produces a plan, success metrics, an ROI estimate, and a fixed quote — and if the ROI isn't there, you've learned that for a fraction of a full build cost.
- What does ongoing management cost?
- Management is billed monthly and covers monitoring, exception review, cost control, and tuning. The exact amount depends on the agent's complexity and run cost, which are sized during scoping.
- Will running the agent get expensive over time?
- Run cost is a design decision. Architecture and token discipline keep ongoing costs predictable, and monitoring catches cost regressions early rather than at the end of a billing cycle.

Sam Martin
AI Scientist & Engineer
I'm Sam — an AI researcher and engineer with nearly a decade of hands-on machine learning in high-stakes settings. I co-invented Random Contrast Learning at Lumina AI and have applied ML to quantitative trading, cancer detection, and threat-detection systems used in federal and state environments.
sammartin.ai is a working agency, not a marketplace of contractors. I scope every engagement personally, build the agent with review loops and monitoring, and stay on to manage it as your business changes. If AI isn't worth it for a workflow, I'll tell you that before you spend anything.