Engineering that survives production.
A no-code agency wires apps together. We engineer the AI that has to make decisions, with evals, guardrails and monitoring. Here are the published prices side by side, and when each one wins.
From a $2,500 Zap to a production agent.
Cheapest entry first. Our offers are shaded.
| Firm and offer | Published price | What it covers | After launch |
|---|---|---|---|
| AutomateNexusZapier Solution Partner (directory listing) | From $2,500, fixed one-time build fee | Outcome-based builds of workflows, integrations and AI agents; minimum spend $2,500. | Optional ongoing support; no price listed. |
| LowCode AgencyZapier development cost guide (market estimate) | Agencies $100–$200/hour or fixed packages | Each multi-step Zap with conditional logic adds $200–$800 to a build, per the guide. | Maintenance retainers $300–$1,500 a month. |
| GigabitAI Quick Win Sprint | $8,000 fixed | One workflow, 3 weeks: prompt design, integration with up to 3 tools, error handling. | 30 days of light support. |
| AFSolutionsGenAI Fast-Track | $14,950 per workflow or agent | One AI workflow or agent in 15 working days, in your own AWS account. | Not stated on the page. |
| GigabitGigabit Agents + Managed AI Operations | From $8,000 · flat, per agent; $3,000/mo to operate | A production agent built and deployed in your stack, with evals, tracing and guardrails. | Managed AI Operations from $3,000/mo (1 system): monitoring, eval regressions, drift and vendor changes. |
Other firms’ figures are as published on their own pages on 22 October 2026; the LowCode Agency row is a market guide that agency publishes, not its own price list. Follow the link before relying on a figure. Most automation agencies publish no prices at all, so they are not in the table. Gigabit figures are our published prices. If a row about your firm is out of date, email hello@gigabit.agency and we will correct it.
Production engineering vs no-code workflows.
The same questions, answered both ways.
Why our entry price is higher
A $2,500 build and our $8,000 AI Quick Win Sprint look like the same purchase. They usually aren’t. A rule-based flow does exactly what it was told, so testing it means checking each branch once. A flow with an AI step makes a judgement on every run, so it needs a set of real test cases, a way to measure whether quality moved when a prompt or model changes, and guardrails for the cases where it is unsure. That work is most of what the price pays for.
If your workflow has no AI step, you probably don’t need it, and you should buy the cheaper build. If it does, the testing is not optional: without it nobody can tell you whether the system is getting better or worse. What a production agent includes.
What happens after launch
Rule-based flows break loudly: an app changes its API and a step fails. AI flows also degrade quietly: a model is updated, inputs drift, and the answers get a little worse each month without anything failing. Catching that takes monitoring against the original test set, which is what Managed AI Operations does, from $3,000/mo for one system.
When each one wins.
The flow is simple and rule-based
Moving data between two apps, a notification, a form into a CRM. If the inputs are predictable and nothing needs judgement, a no-code build is faster and cheaper than anything we sell.
The workflow needs judgement
Reading messy emails, answering customers, triaging tickets, extracting data from documents. Anything where an AI model makes decisions needs evals and guardrails, which is the engineering we sell.
The plumbing is simple but one step is hard
Keep the no-code flow for the plumbing and put the hard step behind a tested AI service. We can build it that way rather than replacing what already works.
For a genuinely simple, low-risk automation that moves data between two apps, a no-code agency is faster and cheaper. Gigabit is the right call when the workflow has to make judgements on messy inputs and stay reliable in production.
Gigabit vs automation agencies, answered
What's wrong with no-code automation agencies?
Nothing, for simple, linear automations. The difference shows when a workflow needs judgement on messy inputs, or has to run at volume without someone watching it. Those need evals, guardrails and monitoring, which is the engineering Gigabit sells.
How much does an automation agency charge compared with Gigabit?
On 22 October 2026, one Zapier Solution Partner listed fixed builds from $2,500, and LowCode Agency's published guide put agency rates at $100–$200 an hour with maintenance retainers of $300–$1,500 a month. AFSolutions published $14,950 per AI workflow or agent. Gigabit's AI Quick Win Sprint is $8,000 fixed for one workflow, and Gigabit Agents start at $8,000 per agent.
When is an automation agency the right choice?
When the task is genuinely simple and low-risk: moving data between two apps, a basic notification flow, a lightweight internal automation. If it never has to handle messy inputs or make a judgement call, a no-code agency can be faster and cheaper than us.
We have a workflow that keeps breaking. Can you fix it?
Yes. We rebuild brittle automations as eval-tested production systems, and then operate them so they stay reliable. Operating one system starts at $3,000/mo under Managed AI Operations.
Do you use no-code tools at all?
Yes, where they are the best fit for a piece of the work, including n8n, Zapier and Make. The part we take responsibility for is the engineering around the AI: the tests, the guardrails and the monitoring.
What's the difference between an automation and an AI agent?
An automation follows rules you wrote: when this happens, do that. An AI agent reads the input, decides what to do, and acts, which is why it can handle cases nobody wrote a rule for, and why it needs testing that a rule-based flow does not.
Tired of automations that break?
Bring the workflow that keeps falling over. The AI Quick Win Sprint rebuilds one for $8,000, and we can operate it afterwards.