OMAV Technology runs SAP, software, cloud and search visibility work for mid-sized businesses. We map your processes before we touch configuration, and we write down what we ruled out as well as what we recommend.
Most engagements cross more than one area. An ERP problem usually needs configuration work, process documentation and reporting together, so we scope it as a single piece of work rather than three.
S/4HANA implementation, ECC migration and application support, delivered by consultants who map your processes before touching configuration.
Get found and quoted accurately by AI assistants and search engines, through infrastructure, content structure and entity work.
Custom applications in Java, Python, React and JavaScript, with version control, tests and documentation included rather than optional.
Websites, portals and mobile apps built to render server-side, so search engines and AI crawlers can read every word.
AWS and Azure migration assessed per workload, plus Linux support, backup and recovery planning that has actually been tested.
Documentation written from your configured system, gap analysis that costs every deviation, and consultants who work inside your team.
"AI-driven" means very little on its own. Here is exactly where machines do the work on our engagements, and where a consultant still has to make the call.
Crawl exports, server logs and configuration dumps are processed programmatically, so findings cover every page and every object rather than a sample someone had time to read.
Pages are structured so a machine can lift a complete answer from them: clear heading hierarchy, self-contained sections and structured data that matches what is on the page.
We record how AI assistants answer your priority questions, which competitors they name, and whether the facts they state about you are correct. Baselines are dated and re-run.
Bulk metadata updates, schema generation and configuration comparison run as scripts. That removes transcription errors and frees consultant time for the decisions.
Analysis is machine-assisted. Architecture, recommendations and every written deliverable are produced and signed off by a named consultant who can defend them.
No one controls whether an AI system cites you. We tell you what is influenceable, what is measurable, and what nobody can promise, before you commit budget.
GEO, AEO and AIO get used interchangeably by most agencies. They are not the same work, they happen in a specific order, and doing them out of order wastes money. Here is how we separate them.
Entity level. Be the source a model reaches for.
Passage level. Answers that can be quoted whole.
Infrastructure. Crawlers can read every word.
Dated baselines, re-run and compared.
No percentage-complete reporting. Every stage ends with something you can look at and judge for yourself.
A conversation about the objective, the constraints and the deadline. If the work is not well understood yet, we propose a short discovery instead of guessing at a price.
We look at what you actually have: the system, the crawl data, the codebase, the documentation. Findings are written down with evidence attached.
A written scope with inclusions, exclusions, named consultants and acceptance criteria per deliverable. Options we ruled out are recorded with the reasoning.
Delivery in defined pieces with a demonstrable result at the end of each. You see progress against deliverables, not a percentage in a plan.
Documentation, source access and a walkthrough. The test is whether someone else could pick the work up without calling us, and we build to that test.
The choice between hiring, contracting, outsourcing to a managed provider or using an extended team model should follow how long the work…
Choose a dedicated SAP consultant when work is continuous and needs deep system knowledge, a project team when there is a defined…
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The most useful first conversation covers three things: what the problem is, what you have already tried, and when it needs to be solved by. Everything else can wait.
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