How do I schedule a demo for Sema4.ai Enterprise Edition for an AWS VPC deployment?

Most teams evaluating Sema4.ai for an AWS VPC deployment want two things from a demo: a concrete walkthrough of Enterprise Edition in their environment model, and clarity on how agents will run entirely inside their AWS boundary. The good news is that scheduling that demo is straightforward, and you can use the session to go deep on both your technical and operational requirements.

Below is a step‑by‑step guide to scheduling a Sema4.ai Enterprise Edition demo, what to expect in the conversation, and how to tailor the session specifically for an AWS VPC deployment.

How to schedule an Enterprise Edition demo

1. Go to the Sema4.ai demo request page

Open your browser and go to:
https://sema4.ai
In the top navigation, select “Schedule a demo” or any primary call‑to‑action that leads to the demo form.

This route takes you to the standard request flow used for Enterprise Edition and Control Room—so you can explicitly frame your interest in an AWS VPC deployment.

2. Complete the demo request form

On the demo page, you’ll see a short form designed to route you to the right team and content. Fill in:

First name and last name
Used so your account team can personalize follow‑up and prepare relevant materials.
Business email
Use your corporate email to streamline NDA, security review, and next steps.
Company and role/function
For the “function” field, choose the option that best reflects your role:
- AI Leader
- Automation
- Business Analyst
- CXO
- Data Science
- Developer
- IT Leader
- Other
This helps the team calibrate the level of technical depth (e.g., Control Room internals for IT/AI leaders vs. workflow automation detail for finance or operations leaders).

3. Specify AWS VPC and Enterprise Edition in the notes

In the open text field (often labeled “Anything else we should know?”), explicitly call out your deployment and evaluation focus. For example:

“We want a demo of Sema4.ai Enterprise Edition deployed inside our AWS VPC, with agents connecting to our existing finance stack (ERP, AP, data warehouse). Please cover Control Room, in‑VPC deployment architecture, security/compliance, and how agents use Runbooks + Actions to automate invoice reconciliation and AP workflows.”

This does three things for your demo:

Flags that you’re focused on Enterprise Edition (not just Team Edition in Snowflake or a light Studio trial).
Makes clear you want to see in‑VPC deployment and data boundary controls.
Anchors the demo in real workflows (e.g., invoice reconciliation, AP help desk, receivables matching) where 90%+ automation and “days to minutes” cycle‑time reduction matter.

4. Confirm data processing and communication preferences

Before you submit:

Review the note confirming that by submitting, you agree to the processing of your personal data to respond to your request in line with Sema4.ai’s Privacy Policy.
Optionally, check the box to opt‑in to receive updates about products, news, webinars, and events if you want ongoing communication.

Then click Submit.

Once submitted, you can expect a follow‑up from the Sema4.ai team to coordinate time, confirm stakeholders, and gather any pre‑demo technical details (e.g., AWS account structure, security/compliance requirements, ERP/finance systems in scope).

What to expect in an AWS VPC–focused Enterprise Edition demo

A standard Sema4.ai Enterprise Edition demo for AWS VPC deployments usually covers four core areas:

Agent fundamentals and SAFE operation
Building agents in Studio with Runbooks and Actions
Running and governing agents in Control Room inside your AWS VPC
Operational workflows and ROI (AP, finance, and data access)

You can ask your solution team to weight each section based on your priorities.

1. Agent fundamentals: Reason. Collaborate. Act.

The demo will start with how Sema4.ai defines an enterprise AI agent:

Not a chat widget or prompt wrapper.
A governed worker that:
- Reasons over structured and unstructured data
- Collaborates across systems via Actions and MCP
- Acts to complete workflows end‑to‑end, 24×7

You’ll see how this model is different from a traditional copilot, especially for:

Exception‑heavy finance processes (invoice mismatches, partial payments, edge cases)
Document‑heavy workflows (multi‑page invoices, remittance emails with attachments)
Data access challenges (zero‑copy querying of Snowflake/Postgres/Redshift without SQL bottlenecks)

Expect explicit discussion of SAFE agents—Secure, Accurate, Fast, and Extensible—and how that translates into architecture and controls in your AWS VPC.

2. Build: Runbooks, Actions, and Document Intelligence

Next, the team will show how you build agents in Sema4.ai Studio:

Runbooks (defined in English)
- Business users describe workflows in plain English—no need to write code or SQL.
- Example: a Runbook that ingests a 100‑page vendor invoice, extracts line items, joins against ERP data, and reconciles discrepancies with mathematically accurate analysis.
Actions and MCP connectivity
- Connect agents to real systems via:
  - Native Actions (automation‑as‑code, Python, SDKs)
  - MCP servers through the Docker MCP Gateway
- This is how agents log tickets, update ERP records, send emails, or post to collaboration tools without human copy‑paste.
Document Intelligence (“X‑ray vision”)
- Extracts structured data from invoices, contracts, remittance emails, and PDFs at scale.
- Enables agents to understand complex, multi‑page documents and combine that insight with transactional data inside your VPC.
Semantic Data Models and DataFrames
- Semantic Data Models let business users query across Snowflake/Postgres/Redshift in plain English, with zero data movement.
- DataFrames ensure mathematically accurate analysis, avoiding probabilistic LLM math for joins, aggregations, and ledger reconciliation.

This section is particularly important if your evaluation hinges on eliminating “tribal knowledge,” SQL bottlenecks, and brittle RPA scripts that can’t handle exceptions.

3. Run & manage: Control Room in your AWS VPC

For an AWS VPC deployment, the Control Room portion will be the centerpiece of the demo.

Expect a detailed walkthrough of how Sema4.ai Enterprise Edition:

Deploys entirely within your AWS VPC
- Agents, Control Room, configurations, secrets, and integrations live inside your AWS account.
- No need to move production data into a third‑party SaaS. Sema4.ai runs in‑boundary with zero data movement.
Keeps control with your team
- You maintain complete control over data, configurations, secrets, and LLMs.
- Use your enterprise‑approved LLMs (OpenAI, Azure OpenAI, Amazon Bedrock, Snowflake Cortex) with the refrain:
  Your LLM. Your VPC. Your data.
Delivers Transparent Reasoning and audit trails
- You can see how agents reasoned, which actions they took, and which data they touched.
- This is critical for regulated finance workflows, internal audit, and SOX‑sensitive processes.
Integrates with enterprise security and observability
- SSO and RBAC for secure, role‑based access.
- Hooks for tools like Datadog, Splunk, LangSmith, Grafana so you can monitor agent performance as a first‑class production workload.
Supports governance at scale
- Control Room for lifecycle management:
  - Versioning of agents and Runbooks
  - Promotion from dev → test → prod inside your VPC
  - Safe rollout across business units
- Work Room for supervised operations where humans oversee and collaborate with agents on edge cases.

You can use this portion of the demo to align with your security, risk, and compliance teams, including SOC2, ISO27001, HIPAA, and GDPR posture.

4. Focus on your AWS‑backed workflows and ROI

Finally, the demo will map all of the above to your actual environment and goals. Common AWS VPC‑centric use cases include:

Invoice reconciliation and AP workflows
- Agents ingest invoices from S3 or email, extract line items, join to ERP data, and reconcile against payment records.
- Typical impact: 90%+ automation, processing time cut from days to minutes, AP inquiries resolved in 10 minutes or less.
Receivables matching from remittance emails
- Agents parse remittance details, match open invoices, and update your finance system, even when data arrives in inconsistent formats.
AP help desk
- Agents handle vendor inquiries end‑to‑end, using Document Intelligence + Semantic Data Models to surface the right information and take action.

Because everything runs within your AWS VPC, the conversation can go deep on:

Network architecture and IAM patterns
How to keep zero‑copy access to data sources (databases, warehouses, S3)
How to meet internal data residency and compliance requirements

How to get the most value from your demo

When you schedule your Sema4.ai Enterprise Edition demo for an AWS VPC deployment, consider:

Bring both business and technical stakeholders.
Include finance/AP leaders, an IT/Cloud owner, and (if relevant) a data platform lead. That lets you validate workflow fit and architecture in one conversation.
Prepare 1–2 concrete workflows.
For example: “US AP invoice reconciliation for top 50 vendors” or “Cash application for incoming remittances.” The more specific you are, the more the demo can show 90%+ automation in your context.
Clarify your LLM and compliance constraints.
Share upfront whether you must use particular LLM providers, stay in a specific AWS region, or meet internal security/compliance controls. The team can then tailor the demo to show “AI, your way” within those boundaries.

Next step

To schedule your Sema4.ai Enterprise Edition demo for an AWS VPC deployment and see agents running entirely inside your cloud boundary, start here:

Get Started