Your AI is busy. Know what it's up to.
Lots of businesses now have an agent doing real work. Few could tell you what it did yesterday.
I've spent fifteen years building Laravel and WordPress systems, and most of them came down to who is allowed to do what. Agents ask the same question of a business. I build the answer into the system you already run.
of agentic AI projects will be cancelled by the end of 2027, says Gartner. Cost and unclear value are two of its reasons. Weak risk controls are the third.1 Gartner, June 2025
WordPress2 and Laravel3 both ship MCP servers now, and installing one takes minutes. Deciding what it should expose takes longer, because that list is the whole of your risk.
I go through your data with you and hand the agent a short list of named operations. Everything else stays invisible to it.

UK workers spend seven or more hours a week copying information between apps and feeding it to AI tools.4Workday and The Harris Poll, May 2026
On 25 April 2026 a coding agent deleted a startup's production database and its backups in nine seconds. The token it used had been made to manage domain names. Nothing stopped it deleting everything else.5
I scope each credential to one kind of job and put a person in front of anything that can't be undone. It costs one click.

OWASP's 2026 list for agent security calls this Least Agency.6
When people ask for a model trained on their own data, they nearly always want retrieval. It stays current, and it can point to the page an answer came from.
The usual failure is an index that forgot which pages were private. Then the assistant quotes an unpublished post to a customer. I carry your CMS permissions all the way into the search, which is the part most setups leave out.
of developers say their biggest frustration with AI is answers that are almost right. Retrieval that cites its page lets someone check.7Stack Overflow Developer Survey, 2025

Every call the agent made, what it changed, and whose name is on the approval. Written for the person who has to explain it on Monday.

Most businesses don't have a data lake. They have a pond, and there's plenty living in it.
Somewhere between twenty and two hundred people. Someone senior is asking questions about the AI, and nobody on staff has the job of answering them.
I read the code, the credentials and the prompts, then send you a short written note. It says what I'd fix first and what can wait. You can act on it with anyone.
The last stretch is usually tests, deployment and the cases the prompt never mentioned. Veracode's 2026 tests found AI-written code passed its security checks 56% of the time, so that stretch matters.8 I pick it up where the model left off.
A connector that exposes the operations you choose. Built on the official MCP packages, so there's no house framework for you to maintain.
One credential per job, and a person in front of anything that deletes, pays or publishes. The approvals live in the admin screens your team already uses.
Every call the agent made, in plain sentences, with a name on each approval. You can search it by date, by agent or by record.
Your CMS content indexed for a model to search, with drafts and private pages kept out. Answers link to the page they came from.
Updates, monitoring and a read of the logs each month, on the same care plan my other clients have.
Most of my past work was approval logic under another name.
The thing being approved has changed. The design problem is the same one.
Tell me what the agent does and what it can reach. I'll tell you where I'd start. You can take that to anyone.