Build less
Reuse the foundation.
A shared runtime handles execution and controls. Put engineering effort into useful tools and customer outcomes.
Phrony for business
Put agents to work.
Keep control.
Customer questions. Complex claims. Operational investigations. Build agents for the work that matters, on a runtime your team can own.
Start with one responsibility. Measure time, quality and cost.
Watch each part work
Your runtime. With a cockpit.
The agent is declared in a file: purpose, tools, policies and limits.
The runtime executes that file and keeps a record of the run.
$ phrony run default/my-agent --attach
- Manifest resolved
- Session started
- Response received
- Run recorded
A €180 refund is over policy, so the agent waits. Approve or reject it.
- Customer asks for a refund
- Agent is ready to pay it
- Policy stops the run
What happens next
The agent cannot send this refund on its own.
Grow your agents. Not the overhead.
Every new agent shouldn’t mean another execution stack to build and maintain.
Change more easily
Make changes reviewable.
Agent definitions live in versioned YAML. Change a responsibility or boundary without rebuilding the agent loop.
Own the deployment
Keep your environment.
Self-host and integrate your systems. Keep the business logic, infrastructure choices and operating costs in view.
Make the business case
What could your team get back?
Use your own workload and costs to explore an agent’s potential value. Start with one responsibility you know well.
Potential capacity freed / month
133 hours
Today333 h
With an agent200 h
- Net value, year one
- €24,500
- ROI, year one
- 78%
- Simple payback
- 2.8 months
Modelled staff capacity value, not guaranteed cash savings. Validate handling time and quality with your own agent.
How the estimate works
Hours freed per month = cases × (current human minutes − future human minutes) ÷ 60. Annual capacity value = hours freed × hourly cost × 12. Year-one net value subtracts 12 months of running costs and one-time implementation. ROI divides net value by those total costs. Simple payback divides implementation cost by monthly capacity value after running costs. The model assumes a full year at the selected volume after launch and excludes ramp-up, taxes and financing. Negative time savings remain negative; payback is not reached when monthly net value is zero or below.
Governance for production agents
EU AI Act readiness
As agents take more consequential actions, control and evidence become part of the product.
- 01Reviewable definitions
Make an agent’s purpose, tools and boundaries explicit.
- 02Human checkpoints
Require approval for designated tool actions.
- 03Execution records
Keep a record of runs for investigation and review.
These controls support compliance work. EU AI Act compliance depends on the complete system, use case and your role; a runtime alone does not establish it.
And in the US?
Requirements vary by state and sector. Texas’s TRAIGA is one applicable AI law. The NIST AI Risk Management Framework is voluntary guidance, not a law or certification. Map obligations to your own deployment.
How Phrony is different
Understand what changes when you own the agent runtime.
Their focus
LangChain
LangGraph + LangSmith
Author agents and graphs in code, with durable execution and tools for evaluation and deployment.
With Phrony
The agent leaves your application code.
Keep your business tools in code. Declare the agent separately, and let Phrony own execution and check its configured boundaries before each tool call.
Their focus
Lyzr.ai
Enterprise agent platform
Build through Studio, SDKs or APIs, with an integrated runtime, governance and private deployment options.
With Phrony
You own the enforcement layer.
Operate the runtime and its dispatch-time policy layer on infrastructure you control, against an open, vendor-neutral Agent Spec.
Their focus
CrewAI
Crews, agents + flows
Define role-and-task crews through configuration or code. AMP adds managed deployment and operations.
With Phrony
The agent leaves your application code.
Keep your business tools in code. Declare the agent separately, and let Phrony own execution and check its configured boundaries before each tool call.
Their focus
Microsoft
Foundry Agent Service
Run configuration-defined prompt agents or hosted code agents in a managed Azure service.
With Phrony
You own the enforcement layer.
Operate the runtime and its dispatch-time policy layer on infrastructure you control, against an open, vendor-neutral Agent Spec.
Their focus
AWS
Bedrock AgentCore
Host agent code with Runtime, or use Harness for a configuration-driven, managed agent loop.
With Phrony
You own the enforcement layer.
Operate the runtime and its dispatch-time policy layer on infrastructure you control, against an open, vendor-neutral Agent Spec.
Framework platforms and managed runtimes can also provide policy controls. The distinction here is where execution lives and who operates its enforcement layer. Features vary by product and plan.
Start with something worth solving
One agent. A measurable result.
Bring us a costly, repetitive responsibility. Together, scope the agent, its controls and the measures that tell you whether it works.