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Self-learning AI agents
for running enterprise businesses.

Transform your complex SOPs into secure and compliant AI agents that understand your business deeply.

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An OPAG workflow follows a task from a request through agent execution and human approval. Agents connect work across manufacturing, healthcare, hospitality and creative design. Motion stops when reduced motion is enabled on your device.

Working with teams across industries

PLASTO MATICTHON HOTELSAJWA GROUPRetina EyecareAl Hamd LABSINDUS HOSPITAL
Meet our customers
Built around your industry

Your operations.
Our agents, working together.

Enterprise AI shaped around the production floor, the care team and the guest experience.

An operator checking production equipment on a manufacturing floor
Manufacturing AI agents

Keep production moving.

Connect the signals on your factory floor with the work in your systems. Give maintenance, production and supply chain teams a clear next step.

  • Machine Fault Prediction Agent
  • Procurement Agent
  • Inventory Agent
  • Reporting Agent
Build your manufacturing workflow
Operational handoff

Sensor readings, equipment history and site rules

Maintenance alert ready for team review
Your AI benefits

Scale without headcount,
cut operational costs and
learn from every interaction.

From manufacturing floors to healthcare and hospitality teams: connect your operations, return time to your people and refine workflows through real work.

We Transform Organizations
Into AI-Native Market Leaders

Learn how
Annual hours returnedCurrent baseline

Repetitive preparation, checks and handoffs still take your team’s time.

Potential workflow capacityCurrent baseline

Work moves at your team’s current pace, within its existing time budget.

Modeled operating view, not customer results.

1,000 tasks/month · 20 minutes/task · 0% net time returned after review. Your starting point before any work is automated.

Use your own numbers
The right agent. For the work at hand.

There’s an agent
for that.

300+

AI agents across your business.
Explore a few of the possibilities.

Move everyday work across teams and systems.

Find your first agent
Agent activityConfigured workflow

Procurement Agent

From low stock to a prepared purchase request.

The request

Prepare a purchase request for the items running low.

01
Understand

Check inventory and open orders

02
Work with your context

Compare approved suppliers

03
Prepare the next step

Prepare the purchase request

Your team stays in controlConfigured approvals before important actions
Inventory · Supplier records · Purchasing policy
Different specialists. One connected way of working.See how it comes together
The foundation behind every agent

Enterprise AI.
Built around your organization.

Your systems. Your operating rules. One connected way to get the work done.

Explore the platform
From trigger to handoff

Agents that move
the whole workflow.

Read the context, apply your rules and prepare the next action in the right system.

Meet your agents
Supplier request Finance reviewAgent activity
Procurement AgentTask execution
  1. Read the supplier email and attachments. Source email and attached order.
  2. Check the contract and purchasing rules. Supplier record and approval policy.
  3. Prepare the handoff for finance approval. Evidence attached. Approval required.
Human approval before any update

Your organization.
Your way of working.

Processes, terminology and approval limits become the context behind every action.

Purchase policy
Apply your purchase policy
Modeled workflow. No system is updated.

Human judgment.
Always in the loop.

Important actions wait for the right person. Routine work keeps moving.

Finance approval
Purchase order$6,250.00
Above the $5,000 approval threshold
Review owner
Finance team
Source context
Order and policy
Prepared by the agent.
Waiting for a person.
Human decision required

Context, not guesswork.

Give your agents the records, knowledge and access the task actually needs.

Permission to act.Scoped to this workflow

The systems you rely on.
Working together.

Connect enterprise platforms, customer records and communication channels through approved access.

ERP, CRM and communication
  • SAP
  • Salesforce
  • HubSpot
  • Odoo
  • Dynamics 365
  • Slack
  • Teams
  • Instagram
  • Facebook
  • LinkedIn
  • WhatsApp
Connection scope is confirmed during discovery.

Built for enterprise scrutiny.

Plan privacy, security and evidence requirements into the implementation from the start.

GDPRData privacy
HIPAAHealth data safeguards
SOC 2Security controls
Discuss compliance requirements

Your environment.
Your deployment.

Scope cloud, on-premises or hybrid architecture around your data and operating needs.

AWS
Azure
Google Cloud
Private infrastructure
Meet the physical side of AI

Intelligence.
Beyond the screen.

Your cameras, sensors and machines can be part of the workflow too. OPAG connects their signals to agents that help your team see what needs attention.

Machine fault predictionIntrusion and incident detectionOperational monitoring and alerts
Explore Edge AI with us
A factory operator working with production equipment
Connected equipmentSensor feed
Machine Monitoring Agent
Vibration pattern
Usual rangeReview suggested
Unusual pattern detected

Send the signal and machine history to the maintenance team.

A signal. A clear next step.
Configured around your equipment, access policies and site requirements.
A practical path to return

Built for your business.
Measured by what changes.

Start with one valuable workflow. Connect the context, choose your environment and measure the outcome with your team.

Calculate your potential ROI
Operations playbookYour process, clearly definedPDF
Rules and responsibilitiesContext ready for configuration
01 / Define

Bring your process.
We’ll build around it.

Turn your procedures, system access and success criteria into an agent workflow worth deploying.

On-premisesInside your environment
Private cloudYour infrastructure requirements
HybridConnected systems and devices
02 / Deploy

The right setup.
Not a forced fit.

Agree on a deployment architecture that fits your infrastructure, data boundaries and operating requirements.

Workflow review
Time per task
Before / after
Review quality
Validated with your team
Refine. Measure. Expand.
03 / Validate

Tailored to your team.
Refined through real work.

Review the time returned, the quality of each handoff and the exceptions before expanding the scope.

Deployment scope, timing and outcomes are agreed after workflow assessment.

Your next chapter starts with a conversation

What could your team do
with more time?

Let’s put AI to work on the work that matters to you.

Book a demo