AI Agent Studio

Independent / Remote / 2026

AI agents for real work.

We design and deploy AI agents that remove repetitive operations, coordinate tools and give teams their time back.

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01Signals

Read

02Context

Reason

03Tools

Route

04Outcome

Act

Built 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.

Received

Understand

Intent + context

Check

Rules + policy

Query

Tools + data

Resolve

Action + reply

Outcome

Resolved

Refund approved · customer notified

3 tools · 1 approval · 4.8 sec

Intent understood

Policy matched

Order located

Refund approved

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.

Observe

See the real work

Follow the workflow as it actually happens. Find repeated decisions, bottlenecks, hidden handoffs and the manual work nobody documents.

Diagnose

Find leverage

Separate automation opportunities from moments that need judgement, context or a human decision.

Build

Connect the system

Design the agent, tools, permissions, data and approval points as one coherent operating layer.

Deploy

Measure the outcome

Ship against real data, monitor edge cases and continuously refine the system once it is doing real work.

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.

0d

Average prototype

−0%

Operating cost

0.0×

Faster workflows

0/7

Agent availability

Engagement

Start small. Scale what works.

Agent Sprint

$12k

Two focused weeks to map one workflow, prototype the agent and test it against real operations.

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Agent Partnership

Custom

An ongoing product and automation partnership for teams building AI into their core operations.

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METHOD.Accepting new projects

Put your work on autopilot.

Tell us which part of your operation still feels unnecessarily manual.

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