01
AI stays isolated
The assistant can answer questions, but cannot reliably participate in the systems where work happens.
Infrastructure for production AI work
Put AI inside the way your business actually runs.
AgentRuntime connects your tools, business rules, agents, and people into reliable workflows that can operate for minutes, days, or continuously.
Built for real operations — not isolated prompts or one-off demos.
Workflows / Connected support
Connected support
Current run
Interactive demo — press Run workflow to replay the run.
Trigger
Ticket received
Starts from helpdesk webhook or API event.
Agent
Enrich from connected systems
Pulls CRM, product usage, and entitlement context into one run.
Decision
Route automated vs assisted
Applies policy, risk, and confidence before choosing the path.
Tool
Run automated resolution
Drafts the response, updates the ticket, and records tool output.
Human approval
Review exception package
Pauses when connected context or policy needs human judgment.
Agent
Coordinate connected follow-through
Syncs the final action across chat, CRM, and helpdesk systems.
What the runtime preserves
The process stays coherent when the work changes hands.
Designed into every run, independent of which agent, tool, or person acts next.
01State
Survives waits and handoffs
02Ownership
Stays explicit at every decision
03Exceptions
Become designed execution paths
04History
Remains connected in one timeline
The product
Four surfaces. One execution model.
Design the workflow, run it through APIs, operate it from a shared queue, and govern every connection.
01
BuildWorkflow Studio
↗02Design, validate, publish, and debug workflows that mix agents, tools, rules, and people.
RunRuntime APIs
↗03Start and control durable runs from products, webhooks, schedules, and internal systems.
OperateCommand Center
↗04Triage approvals, active runs, failures, and interventions from one operational inbox.
GovernControl plane
↗Manage connections, secrets, permissions, policies, and audit history across every run.
The operational wall
Most AI projects stop exactly where real business begins.
A useful demo can call a model and return an answer. A production process must survive rules, approvals, failures, context changes, long-running work, and human responsibility.
02
Automation breaks at exceptions
Rigid flows fail when judgment, missing data, a failed tool, or an unexpected situation appears.
03
Nobody can safely let go
Without control, visibility, and ownership, every important action still returns to a person.
The execution model
Route every step to the right kind of intelligence.
One runtime carries context and state while agents, deterministic logic, connected software, and people each do the work they are best suited for.
Interpret, reason, and create
Use models where the work needs context, judgment, synthesis, or natural-language interaction.
Execute with precision
Call APIs and MCP tools while enforcing schemas, permissions, and deterministic business rules.
Keep humans where they matter
Pause for review, approvals, or exceptions and route the work to the exact responsible person.
Who this is for
Start from the responsibility your team already owns.
01Product & engineering
Ship agent experiences without shipping a new runtime.
→02OperationsCoordinate work that crosses systems and owners.
→03Customer teamsResolve, onboard, and escalate with the full context.
→04Finance & administrationKeep documents, checks, and approvals in one trace.
→05Implementation partnersReuse the production foundation across customer projects.
→The goal is not to remove people from the process. It is to remove people from every step that no longer needs them.
78 catalogued connectors
Connect the stack you already operate.
Use governed connectors for communication, data, developer tools, business systems, and model services.
One platform, two entry points
Adopt AgentRuntime from the workflow or from the infrastructure.
Start with a real process
Map one process across systems, decisions, and owners. Introduce AI step by step without rebuilding the business around a chatbot.
Explore solutions →Build on a production runtime
Use APIs, webhooks, schedules, tools, and observable execution instead of assembling the control plane around every agent yourself.
Explore developers →Start with one workflow that matters.
Show us a process that crosses tools, people, and decisions. We will map where agents, rules, and human judgment belong.