EAFlow relates systems, documents, transactions, logs and evidence so Max and agents answer with context, traceability and operational analytics.
The operational context Max and agents use to answer with evidence.
One graph to model, govern and feed. Not five disconnected tools. EAFlow turns your operating model into a living context that every team — process, application, data, risk — can interrogate and update.
Your business as one graph.
EAFlow models processes, applications, data, owners, risks, events and decisions in a single Operational Graph — one connected context, not five disconnected tools.
See impact before approving changes.
Show what is affected, who must decide and what evidence is needed.
Turn signals into operational analysis.
Cross events, logs and transactions to surface variants, bottlenecks and exceptions.
Max and agents answer with evidence.
Every answer is grounded in documents, decisions, events and graph relations — not scattered files or generic data.
Operational Graph · Glossary
EAFlow relates entities, signals and evidence that usually live scattered across processes, systems, documents, tickets, changes and decisions. Hover or tap each to expand.
On the same connected context, EAFlow crosses events, logs, transactions, processes, applications, risks and evidence to explain what happens, why it happens and what decision to take.
Surface variants, bottlenecks, exceptions, trends and risk signals.
Assess which processes, applications, data, integrations and owners are affected.
Relate decisions, approvals, documents, logs, signatures and auditable backing.
Let Max and agents retrieve connected context, not scattered documents.
The first layer of your Operational Graph: capabilities, processes and the metrics that prove value is delivered, connected on the graph.
Connect the applications that support processes, consume data, expose services and depend on technical components.
Map APIs, interfaces, webhooks, queues, topics, event messages and flows between applications to understand real dependencies.
Connect the signals that processes, applications and integrations leave behind: business events, event messages, logs, transactions, timestamps and state changes.
Data entities, documents and flows modeled as graph layers. What information exists, where it lives, who consumes it, and under which rules.
Infrastructure, platforms and the technical stack as the bottom layer of the Operational Graph. What runs where, how it connects, what depends on what.
Controls, risks, owners and obligations modeled on the same Operational Graph that holds your processes, applications and data. Compliance stops living in a parallel spreadsheet.
Relate owners, areas, approvers and accountable parties to processes, decisions, controls and changes.
Connect initiatives, deliverables, milestones and dependencies to processes, applications, risks and decisions.
Each entry point connects a slice of the operational context and lets the graph extend without replacing the current systems. These are four common cases — the full catalog includes more horizontal solutions, vertical accelerators and sector use cases.
Connect processes, applications, data, documents, roles and owners to build a queryable operational base.
Explore the graph → Cross-industryEvaluate impacts before approving changes to applications, processes, integrations or critical data.
See Change Impact → Cross-industryGovern documents, versions, approvals and evidence over M365 / SharePoint.
See QDM → Cross-industryOrganize requests, approvals, CAB, attachments, decisions and traceability for IT changes.
See Change Governance →All entry points can activate operational analytics on top of events, logs, transactions and graph relations.
You don't need to model the entire enterprise on day one. EAFlow can start from a change, a process, a document repository, a critical integration or a decision that needs traceability.
EAFlow does not replace your stack: it connects existing systems, documents, events, logs and transactions to turn them into queryable operational context.
SharePoint, Microsoft 365, CMDB, ticketing tools, BPMN repositories, enterprise architecture (EA) repositories, process mining tools, applications and data sources.
Events, logs, event messages, transactions, tickets, state changes and evidence.
Max, agents and analytics retrieve context from the graph to explain impact, risk, performance and next steps.
Not all use cases carry the same weight. These four criteria help identify where EAFlow creates value first — and where it can expand after.
A change, process or repository that visibly creates friction for the team today.
Processes, documents, tickets, logs or systems that already exist and can be connected.
A case where impact, risk, owners and evidence matter to the business.
A case that lets the graph expand into adjacent processes, domains or areas afterwards.
EAFlow relates processes, applications, data, events, logs, changes, risks and evidence so every answer carries operational traceability.
When an agent responds, it can lean on documents, decisions, events, transactions and relationships from the graph.
This graph — the Operational Graph — is where Max and authorized agents respond from, over connected evidence. Not from generic training data. From your business as it actually runs.
EAFlow Platform combines Operational Graph, Max, governed agents and BPMflow automation capabilities to sustain horizontal solutions, vertical accelerators and integration capabilities on a single operational context layer. EAFlow solutions do not live in isolation: they share context, evidence, relationships, knowledge and AI governance on the Operational Graph.
Utility explains. Category sells.
EAFlow connects systems, documents, events, logs and transactions into operational context for Max, agents and analytics.
Microsoft 365, SharePoint, CMDB, ITSM tools, BPMN repositories, enterprise architecture (EA) repositories, process mining tools, documents and data sources.
APIs, webhooks, queues, topics, event messages, interfaces and flows between applications.
Events, logs, transactions, tickets, state changes and evidence.
Max, agents and analytics use the graph to explain impact, risk, performance and next steps.
EAFlow does not ingest what you do not approve. Each integration is scoped to what your organization authorizes, over public APIs or confirmed MCP tools.
EAFlow is not off-the-shelf software. Every solution requires understanding your operational context, connecting the right sources to the graph, and tuning the solution to your operations.
Stage 1
We map the operational context relevant to your use case.
Stage 2
We connect authorized sources to the Operational Graph.
Stage 3
We work alongside your team during first deployment and transfer ownership as adoption matures.
Delivered in scoped engagements. Owned by your team after handoff.
EAFlow runs on enterprise cloud infrastructure and integrates with the services your organization already uses.
30-minute demos. We show you what your business looks like as an Operational Graph — and what you can ask it.
Book a 30-min demoOr email us at hello@eaflow.io
