Graphmantix e360°

Enterprise Context for AI

Every AI is fluent about business in general and ignorant about yours. e360° reads your live SAP® system and builds the context that lets AI answer from your business instead of guessing at it.

Solutions built on it
1 / 4 · auto-rotating
Three levers on deal value — Faster, Agile, Safer.
FasterCompress time-to-close — the full transaction perimeter in hours, not months, straight from your live system.
AgileModel the deal before you commit — real-time Business Impact Analysis™ recomputes on every scope change.
SaferProtect what you keep — every crossing dependency and stranded cost surfaced before close, nothing overshared.
Explore Agentic Divestiture
Agentic Contract Buying stops leakage before it is spent.
Pre-POevery purchase checked against your negotiated contracts at the moment it is raised — not discovered in an audit later
Namedevery off-contract buy comes with the contract, price and term it should have used
Automatedpaper contracts ingested by the agent and converted to actionable data
Explore Agentic Contract Buying
Agentic Clean Core turns “clean” into a number you can defend.
Daysto a full clean-core posture — usage, code and interface analysis across the whole estate, automated
3-in-1archive list by real usage · enhancement decoupling map · sanctioned-API compliance — in one pass
Repeatablere-run before every project, upgrade or support pack — and pay less to run and to migrate
Explore Agentic Clean Core
Beta Agentic Business Impact™ shows the blast radius before you commit.
Hoursfrom “what if we change this?” to the full impact picture — processes, people, data and partners
Completethe quiet dependencies included — the shared vendor, the process spanning two units, the org that will not split cleanly
Traceableevery impact tied to real records — the analysis survives the board question
Explore Agentic Business Impact
The platform underneath

Every agent runs on a generated business context model of your enterprise.

Nobody draws it. e360° reads your live SAP® system and derives the model from how you configured it and how you actually use it. That is why answers come back in a fraction of the time, and why every one of them traces to the record behind it.

Months become daysAnalysis that ties up teams for a quarter comes back in days — no months of manual discovery.
Every step can be undoneThe pipeline runs in stages, each one reversible on its own. Something wrong three stages in, you go back one stage, not to the beginning.
Nothing reaches your system unbrokeredAccess runs through a controlled gateway, credentials held centrally and every call logged. Read-only. Nothing changed, on ECC or S/4HANA.
Every answer carries its recordAnswers come from your system rather than a language model’s impression of one, and each traces back to the record behind it.
How it works

Most AI for SAP® needs a data project first. We turned that project into the platform.

Ask any AI platform to analyse your SAP® system and the honest answer begins with a question: where is your data? Before anything can be answered, somebody has to pull it out of SAP®, work out what the tables actually mean, model the business hiding behind them, stand up somewhere to keep it, and load it. That is a quarter of work and a budget line, and it happens before you learn a single thing about your own business.

e360° does not skip that work. It automates it. You give it access to the system. It does the rest, and what comes out the other side is the enterprise context your AI has been missing.

1

It reads the system itself

Not a schema dump, and not SAP®’s standard reference model. e360° extracts what your system actually contains and observes how it actually runs, including the custom code your team wrote and the processes that execute in it every day.

2

It works out how you operate

Configuration and usage together become a map of your operating model: your company codes, your plants, your org structure, the processes you genuinely run, and the ones you quietly stopped running years ago.

3

It builds the graph

All of it lands as one connected model of your business, as described by the system that runs it.

4

It builds its own environment

The infrastructure the model runs on is provisioned, secured, and loaded automatically. There is no platform project to schedule first.

5

It grounds the AI

Agents answer from that model. When e360° tells you a plant is in scope, it is because your system says so, and it can show you the path it took to get there.

Every one of those was once a phase of a program, with its own team and its own budget line. Today they are steps in a pipeline that runs while you wait.

The same five phases

The difference is not the method. It is the scale.

THE NORMAL WAY Extract Interpret Model Build platform Load weeks weeks weeks weeks weeks First question answered about a quarter in e360° Access First question answered hours
Same five phases. Same method. e360° finishes before the normal way stops extracting.
Weeks
For analysis that takes teams months by hand
2 wks
From SAP connection to a complete operating model
Evidence
Every answer traceable to the record behind it
SAP since '91
Team experience on the platforms we model
John Conte
Founder & CTO, Graphmantix

Three decades inside SAP — from Logistics implementations, customer solution architecture, Systems Integration, M&A and Divestitures, S/4HANA transformations and Enterprise Architecture. Founded Graphmantix in 2020 to answer one question properly: what does this SAP system actually do? e360° is the result.

I did not design this in the abstract. I built the first version by hand, across years of M&A and divestiture work, because the answers clients needed did not exist anywhere else. Run the extractors. Move the data. Process it. Stand up the infrastructure. Build the model. Every engagement, by hand, every time.

e360° is that work, automated. The extractors became tools an AI can call directly. The manual pipeline became one that provisions its own infrastructure and loads itself. What took an experienced team a quarter now runs in a fraction of that, and it produces the same artifact, because it is the same method.

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Why Graphmantix

Results-based. Data-driven.

Every answer comes from your live SAP® system — your configuration, your data, your actual usage — not from an opinion or an industry benchmark. That is what makes the numbers defensible when a CIO has to stand behind them.

And the model does not end with the project. It stays, it updates, and it answers the next question too — run as software by your team, or brought to the table as part of an engagement.

Founded 2020 · Delivered on SAP® ECC and S/4HANA®.

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