Custom agents · Approved actions · Human review
AI agent development services
AI Growth Systems provides AI agent development services for a defined task, such as finding records, preparing a response or using an approved business tool. We specify the information, permissions and staff approvals the agent needs. Send us the task and your current systems so we can scope development and testing.
- Initial audit
- $300 USD, one-time.
- Timeline
- Agreed after scope review.
- Coverage
- Businesses across the United States.
- A written task, data and tool-access specification
- A supervised pilot with normal and failure-case tests, if the build is approved
- Approval rules and a handoff for uncertain or sensitive requests
- Javier Socarras
SEO strategist and AI search specialist
Who builds it - Documented work
Projects from our parent company
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Free planning tools with visible assumptions
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Growth audit for your website and inquiry process
What does AI agent development include?
AI agent development creates software that chooses among approved tools to complete a task. The work includes instructions, data access, approval points and tests for missing information or failed actions. We define what the agent may read, draft or change, then check the saved result before your team accepts the build.
A useful brief names the trigger, expected result and employee responsible for exceptions. It also says what the agent must refuse. For a quote request, a pilot could collect the source facts and draft questions for the estimator while staff retain pricing decisions.
| Input | What to check |
|---|---|
| 1. task examples | Describe a bounded task with a correct result, an ambiguous request and a request the agent must refuse or escalate. |
| 2. source records | Identify approved records, their owner and update process; use redacted samples before requesting production access. |
| 3. permitted tools | List each proposed tool call and whether it reads, prepares a draft or changes external data. |
| 4. the approval owner | Name the reviewer for consequential actions and the person who can stop or revoke the agent workflow. |
Which single task should the first agent handle?
A useful brief names the trigger, expected result and employee responsible for exceptions. It also says what the agent must refuse. For a quote request, a pilot could collect the source facts and draft questions for the estimator while staff retain pricing decisions.
Send ordinary requests alongside difficult examples, such as a missing address, duplicate customer or contradictory note. Every client starts with the $300 audit, then receives a written quote for the work. We agree the audit scope and price in writing before payment.
Which tools does the task actually need?
The agent may need a CRM, calendar, help desk or approved document collection. We check what each system can expose, which account grants access and whether a completed action produces a reliable confirmation. An integration that returns a success message but never saves the record has failed its job.
Read access, draft creation and changing a live record are different permissions, so we begin with the least access that lets the pilot work. If your current software can't support a safe connection, the scope says so, and we never promise a link that hasn't been tested.
How do you keep the source records current?
An agent can't give a sound answer from an outdated price sheet or an unapproved policy. Your team names the documents or records it trusts, who can update them and which version applies. When a source is missing, the response says what needs checking and never fills the gap with a confident guess.
We also decide which customer details the task actually requires. A form may contain phone numbers, addresses or sensitive context that other tools do not need. Access to those fields and any external AI provider belongs in the approved design, with a named person able to revoke it.
When is an agent worth building?
Start with the decision the software needs to make. If every form submission from one ZIP code goes to the same team, a fixed rule is easier to explain and maintain. An agent becomes useful when the next step depends on information that arrives in different forms, such as an email, a document and a customer record.
The test is practical: can your team describe the correct output, the exceptions and the person responsible when the task stalls? If not, mapping the process comes before custom AI agent development.
| Task | Often enough | When an agent may help |
|---|---|---|
| Route a form by service area | A fixed ZIP code rule | The request needs interpretation beyond the form fields |
| Answer published service questions | A maintained FAQ or website chatbot | A verified answer also requires a permitted system lookup |
| Prepare an account summary | A saved report | The relevant details span several approved records |
| Change a customer record | A staff action or controlled automation | The agent proposes a change that a person can inspect and approve |
What may the agent read, draft or change?
Permissions make a vague promise of autonomy concrete. The first release can be read-only: it finds a record and prepares a summary without changing customer data. A later version may create a draft task. Writing to a CRM or sending a customer message needs an explicit decision about approval, error handling and accountability.
| Access | Example | Check before use |
|---|---|---|
| Read | View a permitted customer record | Account and field access are correct |
| Draft | Prepare a reply for an employee | Source facts and recipient are visible |
| Write | Update a record after approval | A saved result and action history can be checked |
Which decisions need a person?
The agent should stop when the request falls outside its approved service, the records disagree or a tool fails. A staff handoff includes the original message, the steps attempted and the question that remains. That gives the employee a way to continue without asking the customer to start over.
Unusual prices, complaints, urgent requests and matters needing medical or legal judgment stay with the appropriate person. Approval rules can differ by task. A read-only summary may need routine sampling; an external message or record change may need review before it happens.
Can a team of any size start with one task?
Start with the decision the software needs to make. If every form submission from one ZIP code goes to the same team, a fixed rule is easier to explain and maintain. An agent becomes useful when the next step depends on information that arrives in different forms, such as an email, a document and a customer record.
A service business may need help reviewing requests that arrive in different formats. A larger team may need distinct permissions for departments or branches. Both can begin with one task that has a recognizable outcome and an employee responsible for exceptions.
A fluent answer does not prove that the underlying action was right. Pilot cases include a normal request, missing information, a duplicate record, conflicting documents, a rejected system update and a person asking to take over. We verify the destination record and alert for each case.
The scope grows only when source data and approval rules support it. If an existing CRM feature handles the task, we explain that before proposing custom development. More tools or agents are not measures of value by themselves.
How we test the agent before it touches live data
A fluent answer does not prove that the underlying action was right. Pilot cases include a normal request, missing information, a duplicate record, conflicting documents, a rejected system update and a person asking to take over. We verify the destination record and alert for each case.
A malicious instruction inside a customer message must not override the approved task. We test that boundary alongside tool outages and slow responses. Each failed case needs a visible reason and a route for staff to finish the work. The acceptance list is agreed before launch.
Before launch, check that the approved tools are available, an employee owns consequential decisions and a failed tool call reaches the right reviewer.
| Output | Acceptance check |
|---|---|
| 1. a task specification | Run agreed normal, ambiguous and out-of-scope cases; check the saved result against the stated acceptance rule. |
| 2. access boundaries | Confirm the agent cannot retrieve excluded records or call a write tool through a read-only path. |
| 3. approval points | Test that a proposed action waits for approval and that cancellation prevents the external change. |
| 4. failure tests | Simulate a tool error, stale source, conflicting instruction and retry; check escalation and duplicate-action prevention. |
How does agent development move from brief to handoff?
Every client starts with the $300 audit, then receives a written quote for the work. That review maps one proposed task, its records, systems and handoffs. It produces findings and a proposed build scope; it does not install an agent.
Implementation starts from an approved specification and test examples. We build a limited pilot, test tool access and failures, and present results for staff review. The handoff identifies account owners, operating instructions and responsibility for investigating a failed run.
A supervised agent prepares a service reply
An existing form receives a request for a service the business offers.
A read-only lookup checks the approved customer record, if the system supports it.
The agent drafts a short summary and identifies a missing detail; it does not set a price.
A staff member checks the source request and approves, edits or rejects the draft.
The approved outcome and any failed step remain visible in the working system.
Which service fits the job?
This page covers a custom agent that uses approved tools for a defined task. An AI automation agency can coordinate a wider program; business process automation handles repeatable rules. Website chatbot development focuses on on-site conversations, while lead generation handles the path to a useful new inquiry.
These services can connect, but the buying decision starts with the actual task.
How much does a custom agent cost?
Your budget, explained
Choose how you want to work
Review the price and terms before sending your details. Your selection travels with your inquiry.
Scope-based quote
USD
The written proposal defines deliverables, limits, schedule and terms.
Discuss this priceScope-based quote
USD per month, 16-month commitment
Pay 90% of the agreed standard monthly fee for all 16 months. We confirm the amount before signing. One-time projects are quoted separately.
Discuss the discounted price- Advertising spend, third-party subscriptions and usage charges are separate.
- Setup, migration, content production and extra languages are quoted when outside the agreed scope.
An inquiry is not a purchase or signature. The discount covers all 16 months of monthly service fees for the agreed scope. The proposal confirms the start date, cancellation terms, taxes and additional charges.
Totals include only the monthly service fees shown. Setup, taxes and other charges are confirmed separately. Monthly fees are rounded to cents before calculating the total.
Talk through the scope 754.207.7510This page covers a custom agent that uses approved tools for a defined task. An AI automation agency can coordinate a wider program; business process automation handles repeatable rules. Website chatbot development focuses on on-site conversations, while lead generation handles the path to a useful new inquiry.
Build pricing comes after we know the systems, tool permissions, source material, approval points and number of tasks. One read-only pilot is a different project from an agent that changes records across departments, so we don't publish an implementation range without that scope.
Your proposal separates one-time development from model or API usage, hosting, third-party software and optional ongoing support. It states which accounts your company controls and what the agency maintains. No savings figure or delivery date is promised before the work has been defined.
| Item | Scope | Price basis | Commitment | Exclusions |
|---|---|---|---|---|
| Initial audit | Bounded task, permitted sources/tools and human approval points. | Fee shown in Key facts. | One-time. | Implementation and ongoing software. |
| Implementation | Agreed agent workflow, permission boundaries and evaluation cases. | Separate quote for approved scope. | Project scope only. | Additional systems or pages not listed in the proposal. |
| Optional continuing review | Agreed observations, maintenance or recommendations. | Separate agreement. | Recurring only when approved. | Extra development and guaranteed business outcomes. |
| Software and usage | Named third-party accounts required by the approved work. | Costs disclosed separately. | Provider terms and usage as applicable. | No subscription included by implication. |
Who checks the agent after launch?
A supervised rollout starts with a limited group of users and a way to pause the agent. Staff review a sample of runs, corrections and failures. The record should show the source, tool call, approval and final outcome, with access restricted to people who need it.
We tell you up front who can change the instructions and tool permissions, what happens when a system is unavailable and which test cases your team will see. You also get the account owner, the approval method, the usage cost and how to stop or reverse a bad action where the connected software allows it.
A changed form field, revised service policy or new CRM permission can break a case that used to pass, so we retest those changes against the acceptance examples. Reports count completed tasks and corrections; conversation or tool-call counts on their own prove nothing.
Why businesses choose us to build AI agents
We tell you up front who can change the instructions and tool permissions, what happens when a system is unavailable and which test cases your team will see. You also get the account owner, the approval method, the usage cost and how to stop or reverse a bad action where the connected software allows it.
The handoff explains how to run the agreed tests, review uncertain outputs and pause the agent. It distinguishes fixed rules, model-assisted steps and decisions that remain with your staff.
What should I send for an AI agent quote?
Describe what starts the work, which system holds the information and how your team recognizes a correct result. Include a difficult example. Use the form above or call 754.207.7510 to request a development quote; the initial audit is available if you need help defining the task.
- One task your staff can explain, with examples of a correct result
- The names of the systems and documents involved
- An owner who can approve access, review tests and handle exceptions
- Any rules about customer data, external messages and account permissions
What South Florida context changes in this project
A proposed agent for a South Florida logistics team needs a precise boundary between reading a reference and changing an operating record. Port Everglades provides business information for several port-related activities. Public information can support research, but booking, dispatch or customer-record changes require separate access and approval rules from the business using the agent.
This source provides regional context. It does not identify AI Growth Systems customers or establish demand, results or any particular provider's capabilities.
| Source | Published context | Applicable period | Date checked | Practical relevance |
|---|---|---|---|---|
| Port Everglades: Business | The official business overview identifies cargo operations and supporting industries in Broward County. | Current business overview; no publication date or statistical period stated. | 2026-11-04 | Test tool permissions and approval before any booking or record change; a public source is not operational authorization. |
What can a logistics agent change?
A proposed agent for a South Florida logistics team needs a precise boundary between reading a reference and changing an operating record. Port Everglades provides business information for several port-related activities. Public information can support research, but booking, dispatch or customer-record changes require separate access and approval rules from the business using the agent.
How do you price a custom AI agent?
We price the task, connected systems, source material, permissions and acceptance tests. A read-only research agent requires different work from one that changes customer records. Development, model usage, hosting and optional maintenance appear separately in the proposal. Every client starts with the $300 audit, then receives a written quote for the work.
What should I bring to the agent scoping review?
Bring a real task with redacted examples of a correct result, an unclear request and an action the agent must refuse. We also need to know which systems hold the records and who approves changes. Those examples help us define a useful pilot before requesting production access.
How do you test an agent before it can take action?
We test expected outcomes against saved records, including missing information, conflicting instructions, rejected access and tool outages. Your team reviews the results before approving live use. A convincing demonstration is only one case; the acceptance list must also show when the agent stops and how staff can finish the task.
Can an agent change records without permission?
We separate reading, drafting and changing records in the agreed permissions. An agent may perform only the actions approved for its task, with human review where required. Tests check cancellation and repeated requests as well as successful updates, so a retry does not silently create a second action.
What happens when the source is wrong or the model is uncertain?
We define a response for missing, outdated or conflicting sources before launch. Depending on the task, the agent can ask for clarification, leave a result unresolved or send it to staff. The original request and source record remain available so the reviewer can investigate rather than trust a confident answer.
Who maintains the agent after launch?
Your agreement names who maintains documents, investigates failed runs and approves tool or instruction changes. We specify any monitoring or support included in our work, with recurring charges separate. Your team needs a way to pause the agent and revoke access when the connected software permits it.
Your next step
Request an agent development audit
List the action the agent should perform and the point where a person must approve it. Include the system that holds the final record.
Search and AI answers
Questions about tools, permissions and supervision
What is an AI agent, and how is it different from a chatbot?
We use an agent when software needs to choose among approved tools to complete a defined job. A chatbot mainly handles a conversation, although it can connect to tools too. The useful distinction is the work permitted: answering a question, drafting a record or making an approved change.
Can an AI agent qualify leads and book calls on its own?
We can scope qualification and booking steps when the required systems support them. Questions, eligibility rules and staff handoffs need approval, and an appointment must be confirmed against the actual calendar record. Requests outside the agreed service or available schedule should remain unresolved for someone to review.
Which AI models and frameworks do you build agents on?
We select the model, development tools and hosting around the task, data requirements, expected workload and maintenance needs. The proposal identifies those choices and their costs. A familiar framework name does not establish reliability; your acceptance tests need to demonstrate the result in the systems you actually use.
Can an AI agent research prospects for my sales team?
We can scope research using public or authorized sources, with dates and references attached to useful findings. Staff should verify uncertain details before relying on a prospect summary. Research does not itself authorize outreach, and the agent should not collect sensitive information that the task does not need.
How do you keep my data private when an AI agent uses it?
We limit the task to necessary information and review which accounts, connected tools and outside providers can receive it. Access, retention and revocation belong in the agreed design. Sensitive records may need additional controls or a different approach; a useful pilot can often begin with redacted examples.
Can an AI agent handle work in English and Spanish?
We can scope English and Spanish work with approved sources and examples in both languages. Testing covers business terminology, ambiguous requests and the instructions attached to each action. Fluent conversation alone does not prove that the agent understood an appointment rule or changed the right customer record.
Before you hire
Questions customers ask about AI agent development
How long does it take to build and test an AI agent?
We set the schedule after reviewing the task, available access and examples your team can judge. Connecting a single document source differs from testing updates across several systems. The proposal identifies pilot milestones and review responsibilities; missing permissions or unclear acceptance criteria can delay the work.
What does it cost each month to run an AI agent?
We estimate recurring costs from expected model calls, tool usage, hosting and the monitoring you choose. A busy agent can cost more to operate than a limited internal pilot. The proposal separates these charges from development and identifies usage controls rather than describing the service as unlimited.
Do I own the AI agent you build for me?
We state ownership and handoff terms in the development agreement. Custom code, prompts, configurations and source documents may have different rights from third-party software or model services. Before approving the work, check which accounts you control, what files you receive and how another developer could maintain the agent.
Can we start with one small AI agent as a pilot?
Yes. We can begin with one task, a limited set of approved tools and supervised test runs. The pilot needs a recognizable result, clear limits and someone on your team who can review it. Its price, acceptance cases and production exclusions are agreed before development starts.
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