Most agencies will not put a number on a page. We understand why. Ranges get quoted back out of context, and the honest answer really does start with "it depends."
It still leaves you unable to plan. So here is what we charge for a single production AI agent, what each tier covers, and where the ladder ends.
Short version: we sell fixed-price Agent Sprints in three tiers. Focused is $1,500. Connected is $2,500. Full-Scope is $4,000. All are paid upfront. Past about 10 integrations, or into multiple interconnected agents, the work leaves this ladder and becomes a custom software engagement.
Comparable studios often price a single-workflow, few-integration agent at $5,000 to $12,000. Our full three-tier ladder, through 10 integrations and evolving memory, still tops out at or below what many of them charge for their simplest tier. That is a checkable claim against published ranges from Essen Software, AUOTAM, and Parix.ai, not a vague value line.
Who these tiers are for
The Agent Sprint is aimed at engineering and product leads, and founders, at small software and SaaS companies roughly 10 to 75 people. The typical stack we wire into is Jira or Linear, GitHub, and Slack. Some agents, especially lead-gen ones, skew toward founders and growth roles at the same company size.
If your company is larger, or the workflow lives in a stack we have never seen, we can still talk. The tiers above are just where the packaging starts.
The three Agent Sprint tiers
Complexity is defined by three things together: how many tools the agent touches, how many steps the workflow has, and whether the agent carries memory that evolves across runs. Integrations alone do not set the tier.
Tier 1 — Focused: $1,500
Delivery: 5 to 7 business days. One revision round. Two-week post-launch tuning window.
Up to 3 tool integrations. Single-pass workflow: the agent reads, drafts or flags, and stops. No persistent memory beyond basic duplicate avoidance.
This is the shape of a Friday status-update agent or a silent churn-signal watcher. One job, a short path from input to output, and a person still decides what happens next.
Tier 2 — Connected: $2,500
Delivery: 7 to 9 business days. Two revision rounds. Three-week post-launch tuning window.
Up to 6 tool integrations. Multiple sources feed one decision, with a scoring or ranking step before the agent drafts.
This is the shape of a lead-gen agent that scans Reddit, the open web, LinkedIn, and X, ranks leads, and posts with reasoning plus a draft reply. The interesting work is the ranking and the judgment call, not just the fetch.
Tier 3 — Full-Scope: $4,000
Delivery: 10 to 12 business days. Two revision rounds. Four-week post-launch tuning window.
Up to 10 tool integrations. Multi-step workflow with layered decision logic, plus memory that carries and updates across runs.
This is the ceiling of the Agent Sprint ladder. Scope bigger than anything we have delivered under this packaging so far, and the right call when a Connected agent would feel stretched.
Founding-client rate
For the first three clients across all tiers combined, not three per tier, we take $500 off list price in exchange for a testimonial or case study. That puts founding-client pricing at $1,000 / $2,000 / $3,500.
Once those three slots are filled, the list prices above are the prices.
What happens past Tier 3
More than about 10 integrations, or multiple agents that have to coordinate with each other, does not stretch into a fourth Agent Sprint tier. That work routes to our core custom AI development service and gets scoped like any other custom software engagement.
The reason is practical. Past that point you are no longer buying a packaged single-agent build. You are buying a product decision, and packaging it as a sprint turns the conversation into a scoping negotiation, which is exactly what fixed-price tiers are meant to avoid.
What actually moves a project between tiers
Integration count. Every system the agent reads from or writes to adds surface area. Three clean APIs are a different project from six half-documented ones.
Workflow steps. A single-pass "read, draft, stop" agent is Tier 1. A multi-source "gather, score, rank, draft" agent is Tier 2. Layered decision logic with state that updates across runs is Tier 3.
Memory. An agent that starts fresh each run is simpler than one that has to remember what it already flagged, who it already contacted, or how a score moved since last week. Persistent, evolving memory is a Tier 3 signal.
The cost of being wrong. An agent that drafts a status update can be wrong occasionally, because a human reads it before it goes anywhere. An agent that writes into a system of record cannot. Higher stakes do not automatically bump the price tier, but they do change how much evaluation and human review we put in front of the output, and that can push a borderline build into a custom engagement instead of stretching a Sprint.
What is included, and what is still open
Every Sprint includes:
- Fixed scope and fixed price, paid upfront
- Delivery inside the business-day window for that tier
- The revision rounds listed above
- A post-launch tuning window (2, 3, or 4 weeks depending on tier) so we can adjust prompts, thresholds, and edge cases against real usage
What support looks like after the tuning window is still an open decision on our side. Do not assume a retainer is included, and do not assume there is none. If ongoing maintenance matters to your decision, ask us before you buy. We would rather answer that directly than bury it in fine print.
Ongoing model and infrastructure costs sit with you after launch. For most business workflows that means model API usage that scales with run volume, plus light hosting. We design for that during the build by choosing right-sized models per step and keeping context tight.
When you should not buy an Agent Sprint
The cheapest agent project is the one you do not run.
- An off-the-shelf tool already does it. Standard support triage, meeting notes, and generic sales outreach have products. Custom is worth it when the workflow is specific to how your team works.
- The workflow is not stable yet. If the process changes every month, you will be paying to rebuild the agent every month. Stabilize the process first.
- Nobody can describe a correct answer. If your own experts disagree about what the right output is, an agent cannot be evaluated, and an agent that cannot be evaluated cannot be trusted.
- You need a platform, not an agent. Auth, dashboards, billing, or a customer-facing product around the agent is a custom software engagement, not a Sprint.
Questions to ask any firm you are evaluating
- How will we measure whether the agent is right?
- What happens when it is wrong? Where is the human checkpoint?
- What are the projected monthly model costs at our volume?
- Who owns the code and the prompts when we are done?
- What does support look like after the post-launch window, and what does it cost?
- Can you show a workflow like ours that you have shipped?
If a firm cannot answer the first two clearly, the price is not the thing to worry about.
Where we land
Agent Sprints are fixed-price and paid upfront: $1,500, $2,500, or $4,000 depending on integrations, workflow complexity, and memory. Founding-client pricing is $500 off for the first three clients total. Past the top of the ladder, we scope custom work instead of inventing a fourth tier.
If you want the shape of the work in more detail, our AI development page covers approach and what we build. The workspace problems series walks through specific workflows and the agent we would design for each.