Agenticures

Services

AI agents, and the software they need to be useful.

We solve business problems by building systems that can do part of the work. The first project is usually one job. We learn how it actually runs, show you a working version, and then put it into production with logs, permissions, and a way to stop it.

01

AI agents

An agent is software that can read a request, look up what it needs, and prepare the next step. We build that for one job at a time, inside the limits you set.

It can work with email, a help desk, a CRM, a database, a set of documents, or a website your staff has to use because that vendor will not give you an API.

In the first version, the agent drafts, updates a field you allowed, or prepares a form. Sending email to a customer, moving money, submitting a filing, or deleting a record stays with a person until you decide otherwise in writing.

What it does

  • Reads the incoming request and identifies the account, order, or case.
  • Pulls the records it needs from the systems you name.
  • Uses your documents when the answer should come from your material, not from general knowledge.
  • Drafts the reply, the quote, the update, or the proposed next action.
  • Sends uncertain cases to a named person.
  • Keeps a log of what it read and what it prepared.

What the first version does not do

  • Send email to customers on its own.
  • Issue refunds, payments, or credits.
  • Submit a form on a vendor, carrier, or agency site.
  • Delete or merge records.
  • Answer from general knowledge when your own documents should be the source.

02

Custom software

Some problems need an application, not an agent added to a screen that was never meant for the job. We design and build that software, and we put AI in it only where a step needs it.

We build web applications, mobile applications, CRMs, customer portals, and internal tools. The product has ordinary, testable parts: accounts, roles, a data model, and an audit trail.

When the agent belongs in the product, it uses the same accounts and the same permissions as the rest of the app. It is not a separate chat tool with a separate password.

We use the agent on steps where the input is unstructured, or where the next action depends on reading several records. Required fields, routing, and “do not send” stay in code, so they still hold if the model is wrong.

What we build

  • Web applications for customers and for staff.
  • Mobile applications for people who do the job away from a desk.
  • CRMs and operational systems when a packaged product cannot hold the way you sell or deliver.
  • Internal tools that replace a routine of exports and retyping.
  • An agent inside that product, on one job, with the same identity model as the app.

What we will not do

  • Add a chat box to a screen that does not need one.
  • Bypass the permission model of the product.
  • Ship an agent with no way to check the job it claims to do.

03

Cloud and security

The system has to run on Monday, under your permissions, with a record of what happened. That is part of the build, not a later review.

The default runtime is Cloudflare. The system can scale without a server you have to keep staffed, and it can sit behind identity. We deploy it in your Cloudflare account when you want the logs, and the ability to turn it off, in your control.

Model traffic goes through a gateway, so there is a log, a budget, and a failover. Grok is our default model for reasoning and tool use. If a later step should use another model, the workflow does not have to be rewritten.

Credentials do not go in the prompt. A tool adds them only for a call that is allowed. If the agent has to use a vendor website, that session is isolated, and the agent stops before submit.

If the system of record is a database you already run in another cloud, we connect to it. We move it only when there is a reason, such as a residency rule or a private network you already operate.

What you get

  • Deployment on Cloudflare, in your account by default.
  • Identity in front of the tools the agent can call.
  • A log of model traffic, with a budget and a failover.
  • Secrets kept out of the prompt and out of the model’s context.
  • A control your team can use to turn the agent off without calling us.

What we will not claim

  • A gateway is not, by itself, protection against a bad instruction in the input. Tool scope and allowlists are.
  • We do not promise that a model will be right. We build the check, the approval, and the log.
  • We do not keep you on our account if you want the system in yours.

04

How we start

We do not begin by replacing every system you have. We begin with one job.

  1. 01You describe one job and the systems it touches.
  2. 02We talk with the people who do the job and write down the real steps, including the exceptions.
  3. 03We tell you whether it is a good first build. If it is not, that is the result of the conversation.
  4. 04If it is, we build a working version on your kind of data, with a person approving the actions that matter.
  5. 05If that version holds up, we put it into production and stay with it.

Who this is for

  • An owner, operator, or technical lead who can decide to build.
  • A repeating job that crosses at least two systems.
  • A company that tried a chatbot or a pilot and still does the work manually.
  • A team that will not accept an unattended script on a laptop as the design.

Who should not hire us

  • A request for a strategy document with no build behind it.
  • A request for an agent that runs the company with no approval.
  • A program to replace every system at once. That is a different project, and it is usually the wrong first one.
  • Unsupervised decisions in lending, clinical care, hiring, or any setting where a wrong action is not ours to take.
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