Optimize

Start supervised. Scale to autonomous.

Fine-tune how autonomous RakerOne operates, combining platform controls with expert-led optimization.

Autonomy Operations

Adjust how far AI can go on its own, when humans stay in the loop, and where approvals, safeguards, or escalation are required.

Outcomes Optimization

Continuously improve speed, accuracy, and cost by refining model selection, prompts, routing logic, and execution paths.

Expert-Led Transformation

Go beyond configuration. Our forward enablement experts help redesign workflows, improve change management, and safely increase autonomy over time.

How Optimize works

Baseline autonomy and workflows are defined

Execution and outcomes are monitored

Rules, models, and pipelines are refined

Human involvement is reduced safely

Performance and cost improve continuously

Best practices are applied by experts

Core capabilities of Optimize

Autonomy Controls

Model & Instruction Tuning

Workflow & Agent Optimization

Document Pipeline Refinement

Performance & Cost Monitoring

Managed Optimization Services

Decide how independent AI can be.

Adjustable autonomy levels

Human-in-the-loop rules

Escalation thresholds

Autonomy Controls

Model & Instruction Tuning

Workflow & Agent Optimization

Document Pipeline Refinement

Performance & Cost Monitoring

Managed Optimization Services

Decide how independent AI can be.

Adjustable autonomy levels

Human-in-the-loop rules

Escalation thresholds

Autonomy Controls

Model & Instruction Tuning

Workflow & Agent Optimization

Document Pipeline Refinement

Performance & Cost Monitoring

Managed Optimization Services

Decide how independent AI can be.

Adjustable autonomy levels

Human-in-the-loop rules

Escalation thresholds

The Optimize model

Optimize is not

A one-time configuration

Static AI instructions

Trial-and-error autonomy

DIY change management

white clouds and blue sky during daytime

Optimize is

Continuous improvement

Human + AI co-evolution

Operation-grade autonomy

Built to scale safely

From autonomy to outcome

Examples of optimization in action.

From autonomy to outcome

Examples of optimization in action.

From autonomy to outcome

Examples of optimization in action.

“Reduce manual approvals over time”

Execution patterns analyzed

Rules refined

Trust validated

Human steps removed

“Reduce manual approvals over time”

Execution patterns analyzed

Rules refined

Trust validated

Human steps removed

“Make this intake more precise”

Extraction errors reviewed

Schemas refined

Templates improved

Accuracy increased

“Make this intake more precise”

Extraction errors reviewed

Schemas refined

Templates improved

Accuracy increased

“Make this intake more precise”

Extraction errors reviewed

Schemas refined

Templates improved

Accuracy increased

“Why is this workflow slow?”

Bottlenecks identified

Model or routing adjusted

Execution streamlined

Costs reduced

“Why is this workflow slow?”

Bottlenecks identified

Model or routing adjusted

Execution streamlined

Costs reduced

“Why is this workflow slow?”

Bottlenecks identified

Model or routing adjusted

Execution streamlined

Costs reduced

Ready for Operational Autonomy?

Let’s discuss your operational bottlenecks and how AI can solve them in 30 days.

Ready for Operational Autonomy?

Let’s discuss your operational bottlenecks and how AI can solve them in 30 days.

Book a Demo

Ready for Operational Autonomy?

Let’s discuss your operational bottlenecks and how AI can solve them in 30 days.