Managed operations
ADCO scopes, trains, supervises, quality-checks, and reports the workflow against agreed outcomes.
See how it worksCapabilities
Managed human services
for AI systems.
Engage ADCO through managed delivery or staff augmentation for data annotation, AI evaluation, human-in-the-loop review, verification, and recurring research or data operations.
Discuss your needs
Work categories
What ADCO can
support for you.
Each category can be delivered through managed operations or staff augmentation, based on your inputs, tools, responsibilities, security boundaries, and reporting needs.
01
Data annotation
Prepare structured training and evaluation data against a defined taxonomy.
- Annotation
- Classification
- Verification
- Data cleanup
AI evaluation
Evaluate model behavior with calibrated reviewers and explicit rubrics.
- LLM response evaluation
- Ranking and scoring
- Factuality checks
- Instruction-following review
Human-in-the-loop
Put trained human judgment inside the workflow where automation needs review.
- Human review
- Escalation
- Quality control
- Workflow testing
Verification
Check facts, sources, outputs, and exceptions before the next decision point.
- Fact checking
- Source verification
- Output QA
- Exception review
Research & operations
Run recurring research and structured operational work with managed delivery.
- Research
- Verification
- CRM and data work
- Reporting
Engagement models
Managed delivery or
embedded capacity.
Choose the model that matches the work, ownership, and level of control your team needs.
Staff augmentation
Dedicated professionals join your team in defined AI, data, research, or operations roles, working within your tools, priorities, and day-to-day direction.
Discuss staff augmentationAcross the lifecycle
Human control at the
right decision points.
The work changes across a program. The operating principle does not: define the standard, train against it, review the work, and return what is learned.
AI lifecycleHuman control points
01
Data preparation
Collect, clean, deduplicate, normalize, and organize information around client-defined schemas and acceptance criteria.
Collection and cleanup Taxonomy preparation Duplicate and exception review
02
Data annotation
Train reviewers on taxonomies, examples, edge cases, and escalation rules before annotation moves into managed production.
Labeling and classification Tagging and categorization Edge-case escalation
03
Model evaluation
Compare, rank, and score model outputs for relevance, instruction following, accuracy, style, and other client-defined criteria.
Response comparison Rubric-based scoring Error categorization
04
Human verification
Verify outputs, review sources, resolve discrepancies, and document exceptions before work reaches its next decision point.
Fact and source review Discrepancy resolution Final quality checks
05
AI monitoring
Maintain a structured review layer after deployment to surface anomalies, drift, repeated errors, and new edge cases.
Output sampling Failure-pattern logging Escalation and reporting
06
Human-in-the-loop
Design review, approval, correction, and escalation steps around high-context or high-consequence decisions.
Exception handling Approval workflows Review and correction
07
Research & operations
Research, verify, structure, and maintain information through client-defined workflows with clear ownership, quality review, and reporting.
Research and source verification CRM and structured data work Reporting and recurring operations
Good managed-delivery fit
Defined work.
Visible decisions.
For managed delivery, ADCO is strongest when the work can be trained, reviewed, measured, and improved through a clear operating process.
01
Recurring volume
The work appears often enough for a trained team and a stable process to create value.
02
Judgment criteria
Success can be translated into examples, a rubric, acceptance rules, or an escalation path.
03
Reviewable output
Completed work can be sampled, checked, corrected, and reported without relying on trust alone.
04
Feedback loop
Corrections and new edge cases can improve training, instructions, and future production.
Start with a clear need
Managed delivery or
staff augmentation.
Tell us whether you need ADCO to operate the workflow or add skilled capacity inside your existing team.
Discuss your needs