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Enterprise technology consulting since 2011

We know the systems you already run. 

For more than fifteen years, REALM AI has helped organizations get more from their enterprise technology through Oracle ERP consulting, implementation and support. Today we bring that same experience to artificial intelligence, modern applications and integration — so you can move forward without abandoning what already works.

15+ years

Enterprise technology consulting

Established in 2011 and working with organizations ever since.

Oracle ERP

The foundation of our practice

Consulting, implementation, enhancement and support.

Public + private

Organizations across sectors

Different governance, procurement and operating realities.

AI

Extending what the enterprise can do

Applied to real processes, inside systems that already exist.

02The foundation

Fifteen years inside enterprise systems.

Oracle ERP consulting has been the core of this company since 2011. Implementation, enhancement, integration and long-term support, for organizations where the system in question is not optional.

That work continues, and it is the reason our AI conversations tend to start somewhere more useful than a whiteboard. We already know what your data looks like, who owns it, and what it takes to change something without disrupting the business.

Oracle ERP consulting

How enterprise systems are really used

The documented process and the actual process are rarely the same. Knowing where they diverge is most of the job.

What implementation actually costs

Configuration is the visible part. Data, testing, cutover and the weeks after go-live are where projects are won or lost.

Why integrations break

Usually not the integration. Usually an upstream change nobody flagged, in a system owned by a different team.

How large organizations decide

Governance, procurement and approval cycles are part of the delivery plan, not an obstacle to it.

What long-term support requires

Systems outlive the people who built them. Documentation and hand-over are deliverables, not courtesies.

03The next layer

AI, applied to work you already do.

We are less interested in what AI can theoretically do than in which of your processes it can genuinely improve this year. Usually that is something specific and unglamorous — and it sits inside a system we already know how to work with.

Intelligent assistants

Internal assistants that answer from your own material, for teams who currently ask a colleague.

Knowledge search

Finding the answer across policies, documentation and records — not just finding the document.

Document intelligence

Reading, classifying and extracting from the paperwork that arrives faster than anyone can process it.

Workflow automation

Removing the repetitive steps in a process while keeping a person on the decisions that matter.

AI inside your applications

Adding intelligent features to software you already run, rather than adding another system.

Analytics support

Making reporting easier to ask questions of, for people who do not write queries.

We are also willing to say when AI is the wrong answer. A share of what gets described as an AI problem is better solved with ordinary software, a process change, or nothing at all — and that is cheaper to hear early.

AI & intelligent solutions

04Where we work

Public and private organizations.

The technology is often similar. The operating environment rarely is. Knowing the difference is part of what fifteen years buys you.

Public sector

Environments where procurement, governance, records and accountability shape every decision — and where a technically correct answer that ignores those constraints is not an answer.

  • Structured approval and review cycles
  • Documentation and auditability expectations
  • Long service lifecycles and continuity of support

Private sector

Organizations where the pressure is commercial: shorter timelines, tighter budgets, and systems expected to keep pace with how quickly the business changes.

  • Faster decisions and iterative delivery
  • Direct pressure on cost and time to value
  • Growth and change absorbed by the same systems

We do not publish client names or engagement details. Where a prospective client needs references, we arrange them directly and with permission.

05How we work

A method, not a methodology.

01

Understand

Your systems, your process and what is actually causing the problem.

02

Design

A shaped approach with the scope, sequence and trade-offs written down.

03

Implement

Delivery by a small senior team, with working results early rather than at the end.

04

Integrate

Into the systems and the working day it is meant to serve, without disrupting operations.

05

Support

Documentation, hand-over and continuing help for as long as it is useful.

Next step

Let’s talk about what your organization needs next.

Whether that is an Oracle ERP question, a modernization decision, or working out where AI would genuinely help — start with a conversation, not a proposal.

Memphis, Tennessee — working with organizations everywhere