We say what we think the answer is
If the honest recommendation is a smaller engagement, a different firm, or doing nothing this year, that is the recommendation you get. It costs us revenue occasionally and it is the whole basis of the business.
About
A small firm that works on the layer most people skip.
Amazon Consulting LLC is an independent IT and AI consulting firm based in McKinney, Texas. We work with mid-market and enterprise IT teams on ServiceNow platform architecture, AI governance and delivery, IT audits, and a small set of packaged AI products.
What we actually do
Most of our work starts because something is not trusted. A CMDB whose data nobody relies on during an incident. An AI pilot that worked in a demo and not in production. A platform with eight years of customization and no record of why any of it exists.
Those are rarely product problems. They are data problems, ownership problems, and decisions that were never written down. We are comfortable working at that level — measuring the current state, naming what is in the way, and then building the fix rather than handing over a slide deck about it.
We are deliberately small. The people in your design sessions are the people doing the work. There is no bench of juniors behind a senior pitch, and no partner incentive steering a recommendation toward a particular license.
Background
The practice is led by an enterprise architect with more than eighteen years in enterprise IT, including global ServiceNow implementation and service delivery leadership before moving into independent consulting. That work has spanned healthcare, public sector, energy, telecommunications and pharmaceuticals — mostly regulated environments where "it works in the demo" is not a finishing line.
The AI side of the practice grew out of the same place. Once you have spent years on service data and process consistency, it is fairly obvious why AI projects stall, and the fix is usually upstream of the model.
Where we are deep
- Enterprise architecture across application, technology, information and business portfolios
- CMDB and CSDM strategy: governance, normalization, reconciliation and lifecycle control
- Service portfolio management: business services, technology services, service offerings and CI relationships
- Application portfolio management and rationalization
- AI governance, risk tiering and AI Control Tower implementation
- Generative AI and agentic workflow design with human-in-the-loop controls
- Integrations: REST and SOAP APIs, IntegrationHub, transform maps, discovery patterns and MID server strategy
- Hands-on configuration and development: scripting, Flow Designer, scripted APIs and business rules
- Agile and DevOps delivery practice, including product owner and scrum master roles
How we work with clients
Evidence before opinion
Assessments produce measured baselines, not impressions. If we tell you the CMDB is 42% complete on critical attributes, you will get the query that produced the number.
Your team has to own it afterwards
Handover, documentation and enablement are in scope from the start. A build only your consultant understands is a liability you paid for.
Least access, written down
We work in sub-production with read-only access wherever possible, and the access we need is agreed in writing before an engagement starts.
What you will not find on this site
No client logos, no testimonials, no case studies with percentage improvements attached, and no awards. Not because the work has not gone well, but because most of it sits under confidentiality agreements, and we are not willing to publish a results claim we cannot substantiate to the client it came from.
If you need references, ask during a scoping conversation. We will arrange them properly, with the client's permission, rather than putting a quote on a web page.
Want to know whether we are the right fit?
Describe the problem. We will tell you if it is something we do well, something we do adequately, or something you should take elsewhere.