Managed operations that make complex workflows dependable

We design, run, and improve multilingual operations across AI, Trust & Safety, and customer-critical workflows

We create tailored solutions with global impact

From AI workflows to complex customer operations, we've got you covered. We offer high quality talent, 23+ languages across European and global workflows, fast ramp up and scalable solutions.

How we do it

  • Managed ownership

    Accountable delivery with clear outcomes, decision cadence, reporting, and escalation paths

  • Human oversight

    Trained multilingual teams apply judgment where context and risk matter

  • Quality by design

    Structured training, QA, calibration, knowledge management, and feedback loops

  • Governance in operations

    Documented controls, policy adherence, incident response, and continuous improvement

1 - Planning

Week 1 Setting core team & success metrics
Weeks 1–2 Setting up training framework
Weeks 2–4 Hiring & Onboarding
Weeks 3–4 Training
Week 5 Pilot
Week 6 Production & Quality ramp-up

Week 1

Week 2

Weeks 3–4

Week 5

Week 6

Agents cleared for production

2 - Training

  • Setting up training program

    • 1. Building training materials
    • 2. Creating “classroom” sessions & individual training
    • 3. Setting up collaboration framework
  • Knowledge management

    • 1. Setting up a set of golden samples and addressing corner cases
    • 2. Setting up training groups of 3-5 per trainer
    • 3. Managing performance
  • Deploy proven best practices

    • 1. Utilizing live “classroom” sessions combination with self-study
    • 2. Pre-recorded video sessions
    • 3. Practice tasks
  • Gating exams
    & Ongoing support

    • 1. Product knowledge testing before agents are cleared to start on a workflow
    • 2. Post-training reverse shadowing sessions

3 - Operations

  • Launch, monitor live delivery, and resolve exceptions

  • Use real-time visibility, quality feedback, and calibration

  • Own and test escalations and incident response

4 - Improvements

  • Reporting, QA, root-cause analysis, and business reviews

  • Data insights to prioritize improvements

  • Workflow tracking: quality, timeliness, resolution, and risk controls

  • Regular progress review meetings

5 - Quality & governance

  1. Ongoing workflow output sampling
  2. Quality assurance review of sampled output
  3. Constant feedback to agents for quality improvement
  4. Retraining and ongoing refreshing sessions