01Observe / Map / Prioritize
We identify the workflows worth automating before adding another layer of software.
AI Agent Studio
Independent / Remote / 2026AI agents for real work.
We design and deploy AI agents that remove repetitive operations, coordinate tools and give teams their time back.
01Signals
Read02Context
Reason03Tools
Route04Outcome
ActBuilt for real work
AI shouldn't add another dashboard. It should remove the work around it.
SystemsAgent strategy / orchestration
DeliveryPrototype in 2–6 weeks
ControlHuman approval by default
Capabilities
What moves through Method.
Strategy, systems and operations moving as one continuous layer.
02Reason / Route / Execute
Agent Systems
Purpose-built AI agents that reason, coordinate tools and move real work forward.
03Design / Connect / Deploy
Workflow Design
Human and machine interactions designed as one continuous operating system.
04Measure / Learn / Improve
Optimization
Continuous measurement and refinement once your agents are operating in production.
Agent Execution
One request. A complete execution.
A single request moves through context, policy, tools and action without adding another layer of manual work.
Live executionRunning
Incoming request
Customer asks
for a refund.
Received01
Understand
Intent + context
02
Check
Rules + policy
03
Query
Tools + data
04
Resolve
Action + reply
Outcome3 tools · 1 approval · 4.8 sec
Resolved
Refund approved · customer notified
Intent understood
Policy matched
Order located
Refund approved
Live execution
agent.run({ intent: "refund" }) → policy.check() → order.lookup() → resolve()The Method
One system. Four moves.
We start with the workflow, not the technology. Every agent has a reason to exist, a boundary and a measurable outcome.
01
Observe
See the real work
Follow the workflow as it actually happens. Find repeated decisions, bottlenecks, hidden handoffs and the manual work nobody documents.
01
02
Diagnose
Find leverage
Separate automation opportunities from moments that need judgement, context or a human decision.
02
03
Build
Connect the system
Design the agent, tools, permissions, data and approval points as one coherent operating layer.
03
04
Deploy
Measure the outcome
Ship against real data, monitor edge cases and continuously refine the system once it is doing real work.
04
Selected systems
Work that actually works.
Hover a project to inspect the system.
01NorthlineLogistics−42% manual processing+
Incoming284
AgentRunning
Resolved94%
An operations agent that classifies requests, gathers missing information and routes every case automatically.
02MorrowHealthcare3.8× faster intake+
Incoming142
AgentActive
Resolved87%
A coordinated agent workflow for intake, document verification and internal handoff.
03LedgerFintech68 hrs saved / week+
Incoming284
AgentRunning
Resolved94%
A financial operations agent built around review queues, exception handling and human approval.
04FormaCommerce24/7 resolution+
Incoming142
AgentActive
Resolved87%
A customer operations layer that can reason across support, inventory and order systems.
01
0d
Average prototype
02
−0%
Operating cost
03
0.0×
Faster workflows
04
0/7
Agent availability
Engagement
Start small. Scale what works.
01
Agent Sprint
$12k
Two focused weeks to map one workflow, prototype the agent and test it against real operations.
Start a sprintStart a sprint02
Agent Partnership
Custom
An ongoing product and automation partnership for teams building AI into their core operations.
Talk to usTalk to usMETHOD.Accepting new projects
Put your work on autopilot.
Tell us which part of your operation still feels unnecessarily manual.
AI Agent Studio
Independent / Remote / 2026AI agents for real work.
We design and deploy AI agents that remove repetitive operations, coordinate tools and give teams their time back.
01Signals
Read02Context
Reason03Tools
Route04Outcome
ActBuilt for real work
AI shouldn't add another dashboard. It should remove the work around it.
SystemsAgent strategy / orchestration
DeliveryPrototype in 2–6 weeks
ControlHuman approval by default
Capabilities
What moves through Method.
Strategy, systems and operations moving as one continuous layer.
01Observe / Map / Prioritize
Agent Strategy
We identify the workflows worth automating before adding another layer of software.
02Reason / Route / Execute
Agent Systems
Purpose-built AI agents that reason, coordinate tools and move real work forward.
03Design / Connect / Deploy
Workflow Design
Human and machine interactions designed as one continuous operating system.
04Measure / Learn / Improve
Optimization
Continuous measurement and refinement once your agents are operating in production.
Agent Execution
One request. A complete execution.
A single request moves through context, policy, tools and action without adding another layer of manual work.
Live executionRunning
Incoming request
Customer asks
for a refund.
Received01
Understand
Intent + context
02
Check
Rules + policy
03
Query
Tools + data
04
Resolve
Action + reply
Outcome3 tools · 1 approval · 4.8 sec
Resolved
Refund approved · customer notified
Intent understood
Policy matched
Order located
Refund approved
Live execution
agent.run({ intent: "refund" }) → policy.check() → order.lookup() → resolve()The Method
One system. Four moves.
We start with the workflow, not the technology. Every agent has a reason to exist, a boundary and a measurable outcome.
01
Observe
See the real work
Follow the workflow as it actually happens. Find repeated decisions, bottlenecks, hidden handoffs and the manual work nobody documents.
01
02
Diagnose
Find leverage
Separate automation opportunities from moments that need judgement, context or a human decision.
02
03
Build
Connect the system
Design the agent, tools, permissions, data and approval points as one coherent operating layer.
03
04
Deploy
Measure the outcome
Ship against real data, monitor edge cases and continuously refine the system once it is doing real work.
04
Selected systems
Work that actually works.
Hover a project to inspect the system.
01NorthlineLogistics−42% manual processing+
Incoming284
AgentRunning
Resolved94%
An operations agent that classifies requests, gathers missing information and routes every case automatically.
02MorrowHealthcare3.8× faster intake+
Incoming142
AgentActive
Resolved87%
A coordinated agent workflow for intake, document verification and internal handoff.
03LedgerFintech68 hrs saved / week+
Incoming284
AgentRunning
Resolved94%
A financial operations agent built around review queues, exception handling and human approval.
04FormaCommerce24/7 resolution+
Incoming142
AgentActive
Resolved87%
A customer operations layer that can reason across support, inventory and order systems.
01
0d
Average prototype
02
−0%
Operating cost
03
0.0×
Faster workflows
04
0/7
Agent availability
Engagement
Start small. Scale what works.
01
Agent Sprint
$12k
Two focused weeks to map one workflow, prototype the agent and test it against real operations.
Start a sprintStart a sprint02
Agent Partnership
Custom
An ongoing product and automation partnership for teams building AI into their core operations.
Talk to usTalk to usMETHOD.Accepting new projects
Put your work on autopilot.
Tell us which part of your operation still feels unnecessarily manual.