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AI agents

AI agents that do the work, not just talk about it.

We build agents that answer customers, triage inboxes, draft replies and chase the follow-ups your team never gets to - grounded in your data, held to your rules, and handed to a human the moment it matters.

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The service

Real work off your team's plate. Judgement stays with people.

Norex builds AI agents around a specific job in your business, not around the technology.

We define the job, ground the agent in your data and rules, and stay responsible for how it performs after it goes live.

What you get

The job

An agent with a real job description.

We scope the agent the way you would scope a hire - the tasks it owns, the hours it covers, what a good outcome looks like. It answers, triages, drafts and chases, and nothing vague in between.

The knowledge

Grounded in your data and rules.

The agent works from your services, prices, policies and past answers - not generic internet knowledge. When your information changes, the agent's answers change with it.

The boundaries

Guardrails and human handover.

Clear rules on what the agent may say, do and promise - and an escalation path the moment a conversation needs a person. Sensitive requests go straight to your team, with the context attached.

The proof

Measurable from day one.

Every conversation and action is logged. You see what the agent handled, what it escalated and how accuracy trends over time, so the value is a number, not a feeling.

When this matters

Signs the work is outpacing the team.

Customer questions sit unanswered for hours because everyone is already flat out.

The inbox is a sorting exercise - half of every morning goes on working out what needs attention first.

Quotes, follow-ups and reminders depend on someone remembering, so some of them just never happen.

You have looked at AI tools, but none of them know your business, your prices or your rules.

What becomes possible

What a working agent changes.

Customers get an accurate answer in minutes, at any hour, without adding headcount.

Your team starts the day on the work that needs them, not on sorting the work that does not.

Follow-ups and chasing happen every time, because remembering is no longer part of the process.

How the work moves

How an agent project runs.

  1. Define the job

    We pick one job worth automating and write the agent's job description - tasks, boundaries and what success looks like.

    Output: A job description and success measures you agree to

  2. Ground it in your business

    The agent is connected to your data, documents and rules, and tested against the questions your customers actually ask.

    Output: A working agent answering real questions on a private link

  3. Set the guardrails

    Together we set what the agent may say and do, and exactly when a conversation hands over to a person.

    Output: Guardrails and an escalation policy in plain English

  4. Go live, then tune

    The agent goes live on a narrow scope. We review its log weekly and widen the job only as the accuracy earns it.

    Output: A live agent with a weekly performance review

Make the right investment

Be honest about what you need.

Start with one job, not a transformation

An agent that answers pricing questions well beats one that vaguely helps with everything. We scope a single job first and grow from the results.

Fix the information before the agent

If your prices and policies are out of date or live in someone's head, the agent will repeat the mess. We get the source material right first.

Keep people on the conversations that matter

Complaints, big deals and judgement calls belong with your team. If an agent is not the right answer, we will say so and point you at what is.

Questions

What buyers ask.

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