BPO services

Better data. More dependable AI.

Human annotation, validation and quality review for structured AI data workflows.

AI Data Operations

AI Data Operations

Delivery approach

What we work through with you

  • 01Define annotation guidelines and sample acceptance criteria.
  • 02Calibrate reviewers using a shared reference set.
  • 03Review ambiguous cases before releasing a dataset.
Quality and accountability

Agree the measures that matter.

  • Reviewer agreement
  • Acceptance rate
  • Rework volume

Scope, access controls, service levels and reporting are agreed before delivery. These are planning measures, not performance guarantees.

The DEJOIY approach

Great service is a system.
We connect the pieces.

From the first enquiry to the final quality review, every step should have a purpose and an owner.

01 / Understand

Start with your customers

Map contact reasons, business goals and the moments that need a human touch.

02 / Design

Give every request a clear path

Define channels, ownership and escalation rules before the first handoff.

03 / Deliver

Equip people to do their best work

Bring playbooks, training and approved tools into one consistent workflow.

04 / Improve

Close the loop with quality

Review interactions, learn from exceptions and turn feedback into better service.