01
What exact customer or team job should the agent handle?
Custom AI Agent
Give one business-specific job to an agent with controlled actions and human escalation.
Handle a business-specific customer or team workflow that needs custom decisions, context, actions, and controlled human escalation.
The architecture is scoped after review because every added tool, data source, action, role, location, exception, and risk control changes what must be designed and operated.
Human-controlled
One business-specific job with explicit authority.
Decide only within approved rules
Use named tools and permissions
Stop or escalate when judgment is needed
Scoped after review
Choose the right starting point
Map the agent job before selecting tools.
A useful agent has a bounded purpose, explicit authority, reliable context, realistic tests, and a person responsible for exceptions.
02
Which knowledge and systems may it use?
03
Which actions require approval or a human handoff?
04
What evidence proves the installed job is working safely?
Scope and responsibility
Approve the job, authority, and failure behavior before launch.
The recommendation records the knowledge, tools, permissions, decisions, actions, exceptions, acceptance criteria, human control, and continuing operating responsibility.
What is included
The agreed customer job and launch boundary
- One defined customer or team workflow
- Approved knowledge, tools, permissions, actions, and reporting
- Documented exception, approval, fallback, and human-handoff behavior
What TQP installs
Work completed before launch
- Model the job, inputs, decisions, permissions, exceptions, and acceptance criteria
- Build, connect, test, and launch the approved agent architecture
What TQP keeps running
Continuing responsibility after launch
- Monitor the installed job and investigate failures
- Maintain approved connections, permissions, reporting, and human controls
What is not included
Work that needs a separate decision
- General-purpose employee replacement or unrestricted autonomous action
- Unlimited tools, workflows, knowledge, agents, or integrations
- Unapproved access to sensitive systems or human-only decisions
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.
Defined repeatable job
The work has recognizable inputs, decisions, actions, and an expected output.
Context across systems
The job needs more than one generic prompt or disconnected automation.
Meaningful exceptions
Human approval, escalation, and recovery must be part of the design.
Questions buyers ask
Clear answers before a sales call.
Why is there no public fixed price?
A custom agent depends on the job, knowledge, tools, data, permissions, decisions, exceptions, locations, risk, testing, and continuing responsibility. The scope is confirmed after review.
Can the agent act without a person?
Only inside explicitly approved permissions. Sensitive decisions, high-risk exceptions, uncertain situations, and actions outside the written job stop or escalate to a person.
What remains human-controlled?
Your team keeps professional judgment, approvals, policies, exceptions, service delivery, and final accountability. The recommendation names those boundaries before implementation.
Is usage included?
No. AI, data, messaging, carrier, and applicable third-party consumption are billed separately so usage stays visible.
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.