Explore Toptal AI’s Methodology

See how our operating framework enables workflow discovery, AI deployment, and continuous improvement.

Our Continuous Improvement Cycle

FDE Motion (Understanding and Planning)

Product

FDE observes a business workflow

Example Business Workflow

Opens CRM Follow-up List
Selects Next Customer to Call
Finds Customer Info
Calls Customer
Logs Outcome, Sets Follow-up

AI Opportunity

Chooses a Model
Tests the Model
Refines the Model
Integrates the Model
Monitors Performance

AI Opportunity

Builds a Voice Agent
Tests the Agent
Refines the Agent
Integrates the Agent
Monitors Performance

FDE defines and implements AI opportunities

Copilot Motion (Testing, Deploying, and Optimizing)

AI Engineering

Evals compare B’s steps and full workflow against A’s performance

Evals

  1. Ranking vs A’s Selection
  2. Model Output vs A’s
  3. Call Outcomes vs A’s
  4. Log and Follow- up vs A’s
AI-driven Workflow

Once B consistently meets A’s standard, it’s moved into production

Copilot Motion tests an AI-enabled workflow (B) against a non-AI workflow (A)

Production
(Non-AI Workflow)

Toptal Sandbox
(AI Workflow Variant)

Example Business Workflow

AI Testing Environment

A
B
Opens CRM Follow-up List
Selects Next Customer to Call
Finds Customer Info
Calls Customer
Logs Outcome, Sets Follow-up
Connector Loads Follow-up list
Model Ranks Customers by Priority
Model Compiles Customer Info
Voice Agent Calls (Rep Standby)
Agent Logs Outcome, Schedules Follow-up

Copilot Motion runs in parallel with an existing business workflow

Managed Services Motion (Servicing)

Operations

KPIs

Evals

Inference and GPU Consumption

AI System Maintenance

MLOps & RLOps

Agent Model Operations

Get Started

Implement Toptal’s AI Methodology Today

Speak With an AI Leader Now

Related Expertise

Comprehensive AI Expertise

Tackle your most important AI initiatives with a full suite of AI competencies.