A
AI Assistants
Internal or customer-facing assistants that answer questions from approved business knowledge and workflows.
AI & Automation
Automate the work that should not require constant manual effort.
Physionex Labs designs practical AI and automation systems that help businesses search, route, review, summarize, notify, process, and act faster—with the right controls around the workflow.
Automation with controls
Useful AI, not AI for its own sake.
We start with the process, the data, the decision points, and the business outcome. AI is used where it creates real value—not where a simpler rule or integration would work better.
Human reviewApproval points where judgment matters
TraceabilityLogging, status, and operational visibility
IntegrationConnect AI to the systems people already use
Where automation helps
Start with a repetitive or expensive workflow.
The strongest opportunities are usually processes where people repeatedly search, copy, classify, summarize, route, validate, notify, or move information between systems.
W
Workflow Automation
Trigger actions, approvals, escalations, notifications, and system updates without manual handoffs.
D
Document Processing
Extract, classify, summarize, validate, and route information from forms, documents, and uploaded files.
K
Knowledge Systems
Make policies, procedures, documentation, and internal information easier to find and use.
I
AI Integrations
Add intelligent capabilities to existing applications, portals, APIs, and internal systems.
G
Agentic Workflows
Coordinate multi-step tasks with state, retry logic, approvals, fallbacks, and operational controls.
Starting packages
Begin with the smallest useful automation.
These are starting points for common scopes. Final pricing depends on integrations, data access, model usage, security requirements, workflow complexity, and production support.
Automation Assessment
$500+
For businesses that know a process is inefficient but are not yet sure what should be automated.
- Workflow review
- Automation opportunity mapping
- AI vs. rules-based recommendation
- Integration considerations
- Risks and human-review points
- Recommended implementation path
Workflow Build
$1,500+
For a defined repetitive process that can be automated across forms, email, APIs, files, notifications, or business systems.
- Workflow design
- Trigger and action logic
- One or more system integrations
- Error handling
- Basic monitoring / logging
- Launch and handoff
Business AI Assistant
$2,500+
For a focused AI assistant that works with approved company knowledge, business rules, or internal workflows.
- Use-case design
- Knowledge / data connection
- Prompt and response controls
- Basic access boundaries
- Testing and evaluation
- Deployment and handoff
Intelligent System
$5,000+
For multi-step AI workflows, custom applications, document systems, orchestration, or deeper integration into business operations.
- Custom architecture
- Multi-step workflow orchestration
- Approvals / fallbacks
- Multiple integrations
- Operational monitoring
- Production deployment
Model/API usage, paid third-party platforms, enterprise licenses, cloud consumption, and specialized compliance work are billed or quoted separately when applicable.
Managed automation
Keep the system working after launch.
Automations and AI systems depend on APIs, credentials, models, business rules, and the systems around them. Optional managed plans provide ongoing monitoring, small changes, and operational support.
Essential · $250+/moMonitoring, incident review, and small configuration changes
Managed · $500+/moPriority support, monthly workflow review, and ongoing tuning
Operations · $1,000+/moMulti-workflow support, optimization, reporting, and change capacity
How we build safely
Automation should reduce work without creating invisible risk.
Least necessary accessIntegrations should receive only the access they need to perform the workflow.
Human approval pointsHigh-impact or ambiguous actions can require review instead of blind execution.
Failure handlingRetries, fallbacks, alerts, and clear failure states are designed into important workflows.
Operational visibilityLogs and monitoring make it possible to understand what the system did and where it failed.
Our process
Understand. Design. Automate. Validate. Operate.
1UnderstandMap the current process, systems, inputs, decisions, and pain points.
2DesignChoose the right mix of integrations, rules, AI, approvals, and controls.
3AutomateBuild the workflow, integrations, state handling, and user experience.
4ValidateTest expected behavior, failure cases, outputs, and human-review points.
5OperateLaunch with monitoring and improve the workflow as the business changes.
What are people doing manually over and over?
Automate a process
That is where we start.
Tell us the current workflow, the systems involved, and what you wish happened automatically.