Notes ·
What AI agent implementation actually costs
A concrete cost range for a 5–50 person firm, with the drivers behind the number and where "it depends" is a cop-out.
Real numbers for a 5–50 person firm: a diagnostic runs about $999, a first workflow into production runs from $3,500, and ongoing operations run about $5,000 a month. Standalone build engagements from generalist consultancies run $10,000–$50,000 for the same first workflow, without the ongoing operation of it.
What are the actual price points?
Three ways to buy AI agent work, and one way the broader market prices the same problem. The table below is Phronimos’ offer stack alongside a typical range for a standalone build from a generalist consultancy — the shape most owners encounter first when they start pricing this out.
| Engagement | Price | What you get | Time from kickoff |
|---|---|---|---|
| Agent Reliability Review | $999 | Diagnostic of the agents and workflows you already have, mapped to the four silent-failure modes, evidence per finding, monitoring posture. Credited forward. | 1 week |
| Agent Implementation Sprint | From $3,500 | One painful workflow put into production, with testing, guardrails, and a documented handover. | ~4 weeks |
| Fractional AI Officer retainer | $5,000 / month | Managed operator layer at roughly one junior FTE — monitoring, incident response, maintenance, and rollout of the next workflow. | Ongoing |
| Standalone build (generalist consultancy) | $10,000–$50,000 | Build-and-hand-off. Typically no monitoring, no incident response, no accountability once the invoice clears. | 6–16 weeks |
The review fee is credited in full toward a sprint or the first month of a retainer, so a firm starting with the review isn’t paying twice to get to a built workflow.
What actually drives the range?
Three variables move the number more than any other, and they compose — a firm that is heavy on all three sits at the top of the range for a sprint and near the top of the retainer band.
The first is workflow complexity. A workflow with three steps, one integration, and a single deterministic output is a different build than one with seven steps, conditional branching, and a human-in-the-loop review. Complexity affects testing surface area more than build time — a simple workflow can be shipped in a week; validating that a complex one behaves under the twenty edge cases that matter is where the hours go.
The second is number of integrations. Every system the agent has to read from or write to is an auth surface, a schema to model, a rate limit to respect, and a monitoring point. Two-integration workflows are the sweet spot for a first sprint. Five-integration workflows are still tractable, but they usually cost 40–60% more and take 2–3 weeks longer than a two-integration equivalent.
The third is ongoing operations vs one-time build. This is the biggest single lever, and it’s the one most firms don’t price correctly. A one-time build has a fixed cost and a decaying value curve — the workflow starts drifting from reality the day it ships, and someone has to notice. An ongoing operation carries the monitoring, the incident response, and the maintenance the build itself needs to stay useful. The retainer is priced against that; the sprint isn’t.
Why “it depends” is a cop-out
Vendors say “it depends” for two reasons: they don’t want to anchor low and they don’t have a clean way to describe the variables. Both are solvable. The variables above are the variables. A firm with two integrations, a straightforward workflow, and a decision-maker in the room can be quoted a real number inside a 30-minute call.
What “it depends” often hides is that the vendor hasn’t done enough of these engagements to know their own cost structure. That is a signal worth reading.
Where does the market price things differently?
The other three shapes worth knowing:
- DIY on a no-code platform (Zapier, Make, n8n). Software cost of $20–$500 per month, plus the internal hours to build and maintain — usually 40–120 hours for a first workflow, then 2–8 hours per month for upkeep. Feels cheapest at sticker price. Hits a ceiling when the workflow needs judgment or when it silently fails and nobody notices.
- Hiring an internal AI engineer. Fully loaded cost of $140,000–$220,000 per year for a mid-level hire in most US markets, plus 3–6 months to first useful workflow. Right answer when a firm has enough AI-adjacent work to keep one person busy full time. Wrong answer if the actual demand is two workflows and a monitoring layer.
- Enterprise AI platforms (Salesforce Agentforce, Microsoft Copilot Studio, etc.). $30–$150 per user per month, plus implementation partner fees typically $25,000–$100,000. Right answer for firms already deep in the vendor’s ecosystem. Wrong answer for a 15-person firm that just needs one workflow to stop failing on Fridays.
What isn’t priced on this page
Two things that show up in most engagements and don’t sit on a public price sheet: emergency incident response outside the retainer’s response ladder (invoiced hourly), and vertical-specific compliance work (regulatory review, vendor audit rights, DPA negotiation) — quoted after scope is understood, not before.
For the full ladder and comparison view: /pricing/. For what the diagnostic checks and how the credit-forward mechanic works: /ai-workflow-audit/. For the reliability standard the retainer runs against: /reliability/.
Last reviewed: 2026-08-13.