AI Agents in Plano, TX
An AI agent is not a chatbot. It is a system that receives work, decides what to do with it inside rules you set, acts inside your business software, and hands off anything it should not decide alone. Most of the agents we build never hold a conversation with anyone.
We design and build these from our office in Plano, which means the scoping sessions — the part where you decide exactly what an agent is allowed to do — can happen in the room with the people who own the process.
Book a Free AI Strategy CallThe scoping conversation is the whole project
Building an agent is straightforward. Deciding its boundaries is the hard part, and it is where most of the value is created or lost.
For every agent we write down four things: what it may read, what it may change, what it must escalate, and what it must never do under any circumstance. That document is reviewed by whoever owns the process before a line of it is built, and it is the reference when someone later asks why the agent did something.
- Read scope: which records, inboxes, and systems it can see
- Write scope: which fields and objects it may create or change
- Escalation rules: the conditions that stop it and route to a named person
- Prohibited actions: deletions, financial commitments, external promises
- Logging: what is recorded for every decision so it can be audited later
Internal operations agents
Plano's mid-size companies tend to have a similar hidden cost: a person whose job has quietly become moving information between systems and checking whether other people did their part. That is agent work.
An operations agent watches a queue — new records, submitted forms, changed statuses — evaluates each item against the rules, completes what it can, and produces a short exception list for a human instead of a full review pile.
Customer-facing agents with a hard escalation line
Where an agent does talk to customers, the constraint we set is the same: it can answer, collect, schedule, and update, but it cannot invent policy, discount, or commit the business to anything. Anything approaching those boundaries goes to a person with the conversation history attached.
That boundary is what makes a customer-facing agent safe to deploy. An agent that is allowed to improvise will eventually improvise something expensive.
When an agent is the wrong answer
If the work is genuinely novel each time, or a wrong decision is costly and hard to reverse, an agent should not be making the call. In those cases we build an agent that prepares the decision — gathering the information, summarizing it, drafting the options — and leaves the choice to a person.
That version is usually faster to approve internally and delivers most of the time savings anyway.
Agents we build for Plano businesses
Intake triage agent
Reads every inbound request, classifies it, checks it for completeness, and routes it with a summary attached.
Lead qualification agent
Asks the qualifying questions, scores the lead against your criteria, and books or routes accordingly.
Record reconciliation agent
Compares records across systems, fixes what is unambiguous, and lists the conflicts it will not resolve on its own.
Follow-up agent
Monitors deals and tickets that have gone quiet and re-engages them on a schedule you define.
Document review agent
Checks submissions against a requirements list and returns what is missing before a person opens the file.
Decision-prep agent
Assembles the context and options for a call a human should still make, so the human makes it in two minutes.
Frequently asked questions
What is the difference between an AI agent and a chatbot?
A chatbot is a conversation interface. An AI agent is defined by the actions it takes — reading records, updating systems, triggering workflows, routing work — and frequently runs entirely in the background with no conversation at all.
How do we control what an agent is allowed to do?
Before anything is built, we document the agent's read scope, write scope, escalation conditions, and prohibited actions. That document is approved by the process owner and becomes the audit reference once the agent is live.
What happens when an agent is unsure?
It stops and escalates. The item goes to a named owner with the context the agent already gathered, and the handoff is logged. Agents are designed to fail visibly rather than guess.
Can we meet in person to scope an agent?
Yes. We are based in Plano and scoping sessions for local businesses are usually done on site, because the boundary decisions are much easier to make with the process owner in the room.
Do agents replace staff?
The agents we build take over queue-watching and information-shuffling, and escalate judgment calls. The typical outcome is that the same team handles more volume, not that the team gets smaller.
Related
Scope your first agent
Bring one process that eats a person's day. We will define what an agent could own, what it must escalate, and what that is worth.
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