AIgentech

You already own the platforms. The work is still manual.

Your team runs a CRM, a ticketing system, chat, and a dozen tools that were supposed to talk to each other. Requests wait in queues. Reports get assembled by hand. Useful insights are lost between silos. The desktop automation that saved last year now needs supervision. AI vendors demo solutions with very little understanding of their own tools and even less understanding of your problems.
You need working systems, implemented on years of experience in connecting enterprise platforms seamlessly.

Three ways to engage

Each one starts with a conversation.

Assess

We map the manual work inside your systems, rank it by payback, and hand you a plan you can execute with anyone, including us.

Start a conversation

Build

Fixed-scope automations with the result written into the scope. Connected systems, event-driven integrations, and long-running processes rebuilt to finish fast.

Start a conversation

Run

We keep what we build healthy: monitoring, tuning, and a plain-language report of what ran, what broke, and what it saved.

Start a conversation

Where the depth is

Decades of enterprise systems. A modern set of hands.

Enterprise integration architecture: CRM, ITSM, finance, and the connections between them
Salesforce and ServiceNow ecosystems, including AI-agent platform migrations
Modernizing desktop RPA into compiled, testable code
Event-driven integration patterns for monitoring, alerting, and collaboration tools
AI agent systems: multi-agent teams that plan, build, and test under human direction
Deterministic-core automation design: rules make decisions, AI explains them
Data analysis pipelines that report with evidence, confidence, and limitations

Across a career

Since 2002, across the industries and platforms that run them.

Two decades of enterprise integration work, in the public sector and the private, in regulated industries and fast-moving ones. Specific engagements stay confidential, and specific numbers travel by conversation. What carries across all of it is the same discipline: connect the systems, remove the manual work, keep the evidence.

Method

Rules decide. AI explains.

Every automation we ship is deterministic where it matters. Code and rules make the decisions. AI drafts, summarizes, and explains, and every claim in our reports carries its evidence, its confidence, and its limitations. We describe only capabilities that exist. A promised feature is a refund waiting to happen, so we do not promise features.

One architect works at team speed here because AI agent teams plan, build, and test under human direction. The judgment stays human, and it signs its name.

In the workshop

We run our own advice.

AIgentech also builds its own software, with the same agent teams and the same evidence rules as client work. In development now: a data diagnostics tool that reports on what your files contain, designed so no AI reads the data, and a daily operational brief that turns system noise into a short evidence-cited summary. When something is ready to use, it will appear here with proof, and a way to try it. Until then, it stays in the workshop.

Founder

One architect. A team of agents.

AIgentech is Bruce Morgan, Founding Principal and Intelligence Architect. He has built enterprise integration systems since 2002, connecting the platforms businesses actually run on. He works from New Mexico with AI agent teams he directs, and he reads every message himself.

Contact

Bring one process.

Pick the process that costs your team the most hours. Tell us about it in a paragraph. We will tell you what automating it would take, what it would return, and whether it is worth doing. If it is not worth doing, we will say so.

Start a conversation