BLOCKIUM/ LABS
Service

AI Agent Development Services

A fixed-scope engagement to design, build, and ship an AI agent that runs your workflow in production — see a live one in action on our /ai-agents page.

01 The problem

Hiring the wrong partner for an AI agent build is an expensive way to learn a lesson. Large agencies often run a long discovery phase, hand your requirements to developers you never speak with directly, and bill by the hour against a scope that keeps drifting. Freelance platforms go the other way — fast to start, but with no real accountability if the integration breaks six weeks after launch.

Meanwhile, in-house hiring for this specific skill set is slow and expensive: agent engineering sits at the intersection of software integration, prompt and tool design, and production monitoring, and very few candidates are strong across all three. Most small and mid-size businesses can't justify a full-time hire for one build.

The result is a lot of companies stuck between "too expensive to do properly" and "too risky to hand to a generalist contractor," while the manual work the agent would have replaced keeps costing real hours every week.

02 How we solve it

We run agent builds as a fixed-price engagement with a written scope and a real delivery date — not an open-ended hourly contract. You talk directly to the person writing the code during scoping, which removes the translation loss that happens when a project manager relays requirements to a developer who never sees your actual systems.

Each engagement starts with a discovery call focused on one workflow, not a vague platform rollout, which keeps scope tight and the price predictable. We integrate directly with your existing CRM, database, or internal APIs rather than asking you to adopt a new platform.

After launch, you get the underlying codebase and full audit logs — nothing is locked behind a proprietary no-code tool that can raise prices or shut down. If you want to see what a finished agent actually looks and behaves like before committing to a build, our live demo on the main AI Agents page shows one running end to end.

03 Sample workflow

What shipping this actually looks like.

01

Discovery call

We scope exactly one workflow — what it touches, what success looks like, and what it currently costs you in time.

02

Written scope + fixed price

You receive a one-page scope document and a firm quote, typically within two business days of the call.

03

Build the integrations

We wire the agent into your CRM, database, or internal APIs with proper authentication and error handling.

04

Guardrails + testing

We define what the agent can decide alone versus what it escalates, then test against real edge cases, not just the happy path.

05

Launch + monitor

The agent goes live with full audit logs, and we stay on through the first weeks to tune it against real traffic.

06

Handoff

You receive the codebase, documentation, and logs — the system is yours to maintain or extend without us.

Tools we typically useClaude / GPT-class models, LangGraph or custom orchestration, Your existing CRM/API stack, Structured logging + observability
TimelineMost agent builds ship in 1–3 weeks from kickoff, depending on how many systems it needs to touch.
PricingSingle-workflow agent builds typically run $3,000–$8,000; multi-system builds with several integrations run higher. You get a firm number after the discovery call, before any code is written.
04 FAQ

Common questions.

How is this page different from your main AI Agents page?

The /ai-agents page shows a live demo and explains the concept. This page is the commercial side — what a build actually involves, how it's scoped, priced, and delivered if you want to hire us for one.

Do you use our existing tools, or replace them?

We integrate with what you already run — your CRM, ticketing system, database — rather than asking you to migrate to a new platform.

What happens when the agent isn't sure what to do?

You define the boundaries up front during scoping. Anything outside them gets escalated to a human with full context, instead of the agent guessing.

Who owns the code after launch?

You do. We don't lock builds into a proprietary platform — it's your codebase, deployed on infrastructure you control.

How fast can we get a working prototype?

Most projects have a working prototype inside the first week of a signed scope, so you can see it against real data before full launch.

What if the workflow is more complex than a single agent?

We'll say so during scoping rather than overpromising — some workflows need two coordinated agents or a workflow-automation layer alongside the agent, and we'll price it accordingly.

• Related

Explore more.

Ready to scope this?

Tell us what you want automated — we'll come back with a fixed scope and a quote.

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