01
What exact outcome marks the job as complete?
A controlled agent for one business-specific job
Give AI a defined job, not an undefined role inside your business.
Design an agent that can use approved knowledge and tools to move one valuable customer or team workflow forward.
A Custom AI Agent is not a general-purpose employee. It operates inside a written boundary that defines what it may know, decide, do, and escalate.
Launch
From $7,500
After launch
From $2,495/month
Initial term
6 months
AI Business OS is included in the recurring price. AI, messaging, data, carrier, and applicable third-party usage remain separate.
Choose the right starting point
The first question is not what AI can do. It is what the business can safely delegate.
A strong custom agent starts with one costly, repetitive, and observable job. Its knowledge, approved actions, exceptions, and human approvals are agreed before tools are connected.
02
Which knowledge and systems are required, and how current are they?
03
Which actions may happen automatically, and which need human approval?
04
What exceptions, failure modes, and sensitive decisions must stop the agent?
The operating contract
Six decisions before an agent earns permission to act.
The agent is only as trustworthy as the boundary around it. These decisions become the shared specification for design, testing, launch, and continuing responsibility.
01
Job
The specific customer or team outcome the agent is responsible for moving forward.
02
Knowledge
The approved information and records the agent may use, including how that knowledge stays current.
03
Actions
The steps the agent may take, the tools it may use, and the order those actions should follow.
04
Permissions
The explicit limits on data, systems, decisions, and changes the agent may access or make.
05
Exceptions
The situations that make the agent stop, ask for help, or move the work to a person.
06
Acceptance criteria
The observable tests that must pass before launch and the signals used to judge the installed job.
Before launch
Prove the job and the safety boundary.
TQP models the job, knowledge, decisions, actions, permissions, exceptions, human approval, and acceptance criteria. Expected paths and failure modes are tested before the agent may act.
- Model the approved job, knowledge, permissions, decisions, actions, exceptions, and acceptance criteria
- Build, connect, test, and launch the agent with the agreed permissions, safeguards, and human handoffs
After launch
Keep the installed job observable and controlled.
TQP monitors the agreed job, investigates failures, maintains approved connections, and improves the agent against the written outcome. New tools, permissions, jobs, and workflows are priced and approved before they enter the live agent.
- Monitor the installed job, investigate failures, maintain approved connections, and improve the agent against agreed outcomes
- Keep exception handling, permissions, reporting, and human control aligned with the written scope
Need a phone or written-conversation product?
Start with the narrower agent when the job is primarily calls, chat, or messaging.
Evidence before commitment
Review the work behind the promise.
See a confidential case study, customer excerpts, and measured results relevant to custom ai agent. Each claim is labeled so you can distinguish a review, an installation, and an attributable operating outcome.
Fit signals
When this becomes the right next move.
A repeated coordination job
The same context is gathered, checked, transferred, and acted on across people or systems every week.
A visible operating cost
Senior time, delay, inconsistency, or lost follow-up makes the job expensive enough to design properly.
A definable boundary
The job has clear inputs, actions, exceptions, human approvals, and an observable definition of done.
Questions buyers ask
Clear answers before a sales call.
What makes an agent custom?
A Custom AI Agent is built around a business-specific job, knowledge set, decisions, permissions, actions, exceptions, and acceptance criteria. It is not simply a generic assistant with the business name added.
Can a Custom AI Agent replace an employee?
No. It is not a general-purpose employee. It completes one defined, testable job using approved knowledge and actions while people retain judgment, relationships, approvals, sensitive decisions, and exceptions.
Can it connect to our existing tools?
Potentially. Every connection is evaluated for access, reliability, data sensitivity, available interfaces, failure handling, and ongoing maintenance before it is approved for the live agent.
What happens when the agent is uncertain?
Uncertainty is part of the design. The operating rules define when the agent should ask a clarifying question, stop, request human approval, create a task, or hand off the work with context.
Recommended next step
Start with the customer experience you want to create.
Tell us what is happening now. We will recommend what should stay, what should change, and which product fits the job.