AMAutomationMD

Practical AI. Clear technology decisions.

AI and technology decisions that fit how your business actually runs.

AutomationMD helps small-business owners and business leaders connect operations, AI systems, and enterprise technology. Christian Burris sits with you at the table—not above it—to decide what is worth automating, what to buy, and what to leave alone.

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Christian Burris, founder of AutomationMD
Christian Burris, Founder

Built and sold AI systems

20 years operating a small business

Enterprise and midmarket technology sourcing

Vendor-neutral recommendations

The problem

Most businesses have too much technology—and not enough clarity.

Tools accumulate. Vendors pitch. Work still stalls. AutomationMD helps leaders determine the next practical move, not the next purchase.

  1. 01What is worth automating
  2. 02What technology is worth buying
  3. 03What needs stronger governance or protection
  4. 04What should be left alone

Ways to work together

Advisory work organized around the decision you need to make.

A

Find where AI fits

Start with the work, the risk, and the operating reality—not a catalog of tools.

  • AI Opportunity Assessment

    Identify one costly, repetitive, or inefficient process and decide whether AI, automation, or a simpler operational fix is the right next step.

  • AI Readiness and Governance

    Establish the policies, data practices, and review habits that keep AI useful, accountable, and appropriate for your business.

B

Improve how work gets done

When a process is already understood, automation should remove drag without adding another system nobody runs.

  • Workflow Automation

    Design and implement automation around the processes that steal time from owners, operators, and teams.

C

Make confident technology decisions

Buy, source, or strengthen the foundation with a recommendation you can defend.

Why Christian

An advisor who understands both the operational problem and the technical stack.

AutomationMD is not a generic AI agency and not a résumé site. It is advisory work from someone who has operated a business, built AI systems, and sourced technology for larger organizations—then sat with the owner who has to live with the decision.

Business operator
Twenty years running a small business—cash, staff capacity, messy processes, and the cost of tools that go unused.
AI builder
Built and sold AI systems, so recommendations stay grounded in what can be implemented, governed, and handed off.
Technology advisor
Helps enterprise and midmarket organizations identify and source technology with a vendor-neutral point of view.

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Engagement process

Discover. Prioritize. Build or source. Measure.

  1. 01

    Discover

    Start with one process, constraint, or buying decision. We look at how work actually moves, who owns it, and what a better week would look like.

  2. 02

    Prioritize

    Separate the useful from the noisy. The output is a short list: what to automate, what to source, what to govern, and what to leave alone.

  3. 03

    Build or Source

    Implement the lightest reliable path—build the workflow, select the tool, or source the technology—with a clear owner and a supportable design.

  4. 04

    Measure

    Define what “better” means in operational terms: time returned, fewer handoffs, cleaner data, or a buying decision you can stand behind.

Start with one process

Bring one costly, repetitive, or inefficient part of the business to the table.

An AI Opportunity Call is a working conversation about a real process: where it breaks, what it costs, and whether AI, automation, or a better technology decision is the right move.

Book an AI Opportunity Call