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Let AI work with your enterprise information — under your rules
The QAction® MCP Server gives AI assistants secure, permission-aware access to the documents, cases, tasks, and records your organization already governs. Every request is checked against the access rules, approvals, and audit controls you have in place today.
Serving U.S. federal agencies and regulated enterprises since 2000.
Most organizations can’t safely connect AI to the information that matters most
AI assistants have moved quickly from experiment to expectation. But the information that drives real decisions — contracts, case files, approvals, official records — sits inside governed systems for good reason. Until now, connecting AI to that information meant choosing between usefulness and control.
AI can’t reach your trusted information
General-purpose AI assistants are fluent but uninformed. Without access to authoritative enterprise content, they work from public data or whatever an employee pastes into a chat window — producing answers that can’t be traced, verified, or defended.
AI operates outside your governance framework
Access controls, retention schedules, approval chains, and audit trails took years to establish. Most AI integrations sit beside those controls rather than inside them — creating a parallel path to sensitive information that governance teams cannot see or evidence.
Automation shouldn’t mean loss of control
Leaders are asked to deliver AI-driven efficiency and to prove nothing improper happened. When an AI assistant touches a case or a record, someone has to be able to answer: who authorized it, under what rule, and where is the evidence?
A governed gateway between AI and your enterprise
The QAction® MCP Server is a secure connection point that lets MCP-compatible AI assistants work with the content and processes managed in QAction. It does not create a second copy of your information, a second permission model, or a second place for data to sit unsupervised. It applies the governance you already run.
What is MCP, in plain terms?
MCP stands for Model Context Protocol. It is an open standard that gives AI assistants a consistent, secure way to connect to business systems — much like USB created one standard way for devices to connect to a computer.
Before a standard existed, every AI-to-system connection was a custom project. With MCP, an assistant that speaks the standard can connect to any system that speaks it too. Claude is one widely used example of an MCP-compatible assistant, and support across the industry continues to expand — so the connection you establish today is not tied to a single vendor’s tool.
How QAction changes the equation
When an AI assistant connects through the QAction MCP Server, it does not receive open access to a repository. It receives a defined set of permitted actions, performed on behalf of an authenticated user, within that user’s existing rights.
- If a user cannot open a document today, the AI assistant cannot retrieve it for them.
- If a workflow step requires an approval, that requirement still applies.
- If a record is under a retention schedule or legal hold, those controls remain in force.
- Every action is captured in the audit trail, exactly like a user-initiated action.
Outcomes you already report on
Cycle time, risk exposure, audit readiness, and staff capacity — not connectivity for its own sake.
Governed AI actions
Every request runs through existing permissions, roles, and approval rules — and lands in the audit trail. AI adoption becomes something you can evidence to auditors and oversight bodies.
Faster information access
Staff stop hunting across folders, systems, and inboxes. They ask a question in plain language and get an answer drawn from authorized content, with sources identified.
Workflow automation
Assistants review queues, surface aging or at-risk tasks, and prepare routine steps — while approvals and decisions stay human-owned.
Improved decision support
AI assembles the documents, history, and status behind a case or contract so reviewers work from a complete picture instead of fragments.
Enterprise security & compliance
Secure authentication, least-privilege access, and full activity logging are built into how the server operates. Retention, legal hold, and classification rules keep governing what AI can reach.
What your teams can actually do with it
Everyday requests, asked in plain language, answered inside your governance framework.
| Use case | What a user might ask | Business outcome |
|---|---|---|
| Find and summarize documents across enterprise repositories | “Summarize the current contract documents for this vendor and flag anything that changed in the last revision.” | Hours of manual search reduced to a single request, with source documents cited and permissions respected. |
| Review pending workflow tasks and identify priorities | “Which of my open tasks are past their target date, and which are blocking someone else?” | Backlogs surface before they become escalations; supervisors manage by exception. |
| Assist with case management activities | “Give me a status overview of this case, including outstanding items and recent activity.” | Faster case handoffs, better-prepared reviews, and fewer status meetings. |
| Retrieve records and retention information | “What is the retention schedule for these records, and are any under legal hold?” | Records staff answer compliance questions in seconds instead of researching schedules manually. |
| Generate reports from enterprise data | “Show me processing volume and average cycle time for this workflow over the last quarter.” | Operational reporting on demand, drawn from the same governed system of record leadership already trusts. |
In every example, the assistant sees only what the requesting user is authorized to see — and every interaction is logged.
Four steps. No new permission model.
No data duplication. No shadow access path.
Secure connection
An approved, MCP-compatible AI assistant connects to your QAction MCP Server using secure API authentication. Your IT organization configures and controls the connection.
The user makes a request
A staff member asks a question or requests an action in plain language — find a document, check a queue, pull a report.
QAction applies your governance
Before anything is returned, QAction validates the request against that user’s permissions, role assignments, workflow rules, retention policies, and classification controls. Anything outside those rules is not performed.
AI assists within approved boundaries
The assistant delivers the result or completes the approved action, and the interaction is captured in the audit trail alongside every other action in the system.
For your technical team
A short summary for architects and security reviewers. Full technical documentation is provided during evaluation.
Architecture
Authentication and access
Available tools
Functional coverage
Response format
Auditability
Built by a governance company, not an AI startup
Plenty of tools can connect an AI assistant to a data source. Very few were built by a team that has spent more than two decades answering to auditors, records officers, and government oversight.
QFlow Systems has developed and implemented governed content, workflow, and records solutions for public sector and regulated organizations since 2000 — as both the product developer and the implementation partner. The QAction MCP Server did not begin as an AI product looking for a governance story. It began as a governance platform extending safely into AI.
Information governance expertise
Governance is the core discipline, not a compliance checkbox added late.
Enterprise content management
A mature content services platform managing documents, versions, metadata, and audit history as one system of truth.
Workflow automation
Processes with defined rules, roles, and approvals — so automation strengthens accountability rather than bypassing it.
Records management
Retention schedules, classification, legal hold, and defensible disposition aligned to NARA standards and organizational policy.
Proven in government and regulated environments
Long-standing service to federal agencies and regulated organizations, with a track record of delivery on time and within budget.
Adopt AI on your terms
AI is entering your organization whether or not there is a plan for it. The question is not whether staff will use AI assistants — it is whether those assistants will operate inside your controls or around them.
The QAction MCP Server gives you a defensible path forward: a single, governed connection point where AI works with authorized enterprise information, under existing permissions, with a complete audit trail behind every action.
Request a demo
See what governed AI looks like in your environment. A QFlow specialist will follow up within one business day.
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