One embedded team
Weeks
to a working production deployment
Start with one valuable workflow and ship it with real ownership, controls, and success measures.
01
Discover
Find the workflow where better decisions create measurable operational value.
Forward-deployed AI for operating businesses
Deploy AI that moves your business forward
Embedded AI engineers turn high-value workflows into production systems that decide, act, and improve with your business.
Explore the operating layerGoDeploy
Operations Control
Production
Live deployment
Delivery exception
In progress Started 2m ago
Live deployments
Human review
Action required
Approval is required before system writeback.
- Requested by
- Automation policy
- Reason
- Health threshold exceeded
Systems connected
- ERP inventory
- CRM workflow
- Operations agent
Execution timeline
Automated rollback in progress
Integrations
Connected to the systems that already run your business
Bring agents, workflows, knowledge, and analytics into the tools your teams use every day.
Gmail connected
Gmail
The deployment loop
From one valuable workflow to an operating advantage
Our embedded team stays with the system from observation through production and continuous improvement.
Deployment / 01
Customer exception handling
02
Deploy
Ship a governed agent and workflow into the systems your operators already use.
03
Improve
Learn from production runs, exceptions, and outcomes—then expand what works.
Observe → build → ship → learnDiscover
Workflow deployment
From repetitive work to a production workflow
Map the real process—including exceptions, approvals, retries, and system writeback—then deploy it into the tools your team already uses.
- Multi-step execution
- Human approval gates
- Retries and exception handling
Workflow Studio
Customer exception handling
Execution path
Production readyRun log
wf-82ac19Context loadedPolicy checkedAwaiting writeback
Selected step
New customer request
- Input
- Customer request + account context
- Policy
- Operational approval rules
- Output
- Verified system writeback
Prebuilt AI workforce
Digital workers ready for the work your industry already does
Start with roles that understand common tools and operating patterns, then customize knowledge, permissions, workflows, and voice for your business.
- Ready-to-deploy roles
- Industry and function templates
- Fully customizable behavior
Prebuilt AI workforce
Choose a role, then make it yours
Role configuration
Customer Operations Agent
Working now
- Current task
- Ticket triage
- Tools
- Zendesk · Gmail
- Knowledge
- Your SOPs and decision history
- Permissions
- Policy governed · Human escalation
Enterprise knowledge
Operating knowledge available at the moment of action
Connect SOPs, documents, email, policies, and historical decisions so every deployed system works from governed, traceable enterprise context.
- Permission-aware retrieval
- Grounded citations
- Governed knowledge sources
Governed sources
Selected source
Checking permissionPermissionPermission: Operations leadership
FreshnessUpdated 2 days ago
Grounded answer
How should this customer exception be handled?
Route the case to Operations leadership because the order value exceeds the automated refund limit. Preserve the customer commitment while a replacement shipment is prepared.
[1] Customer escalation policy[2] Account decision history
Company brain
Decisions grounded in your complete operating context
Combine enterprise knowledge, historical decisions, real-time system data, and business goals into a shared context layer for every agent and workflow.
- Unified operating context
- Data-driven recommendations
- Shared decision memory
Company Brain
Operating context and decision memory
Business goalProtect on-time delivery
Live signalSupplier delay +18h
PolicyCustomer promise threshold
Decision memory12 comparable cases
Recommended decision
Signal receivedReroute the order and notify the customer now
Use alternate inventory from Reno, expedite ground freight, and preserve the committed delivery window.
ConfidenceHigh · 92%Cost$1,240Protected value$48,600
Deployment analytics
Know what every deployment is changing
See runs, reliability, escalations, time returned, and business outcomes. Use production evidence to improve the system and expand what works.
- Deployment health
- Business outcome tracking
- Continuous optimization
Deployment Analytics
Production evidence, not vanity metrics
Reliability
99.2%
successful production runs
Week 1Week 2Week 3Today
Production foundation
Built for production, not demos
The invisible work around the model is what makes AI reliable enough to run real operations.
Governed execution
Policies, permissions, and guardrails are built into every action.
How engagements work
A deployment model built around your business
One embedded team stays with the workflow from observation through rollout, adoption, and expansion.
Start with the right workflow
Tell us where the work gets stuck.
A short operating assessment helps our forward-deployed team understand the workflow, systems, and outcome before the first conversation.
- A practical first-deployment hypothesis
- The systems and approvals involved
- A clear path from pilot to production