Building AI
Prepare data, evaluate outputs and gather human feedback around defined development questions. Confirm the intended use, evaluation criteria and specialist requirements before work begins.
Explore support for AI buildersHuman expertise.
Applied where
it matters.
People give data context, evaluate responses, review exceptions and trace information to its source. ADCO organizes this work for companies building AI and companies using it.
Start with the work.
A useful scope connects the question, the required expertise and the output your team needs. These four families provide a starting point for that conversation.
Give data the context it needs.
Your starting point
Your intended data use, permitted sources and required formats.
The human work
- Collection & preparation
- Text, image, audio & video
- Taxonomies & labeling
Typical outputs
- Structured, labeled data in an agreed format
- Annotation guidance and taxonomy feedback
Understand how an AI system behaves.
Your starting point
The responses or tasks to assess, with a defined rubric and evaluation questions.
The human work
- Response evaluation
- Preference feedback
- Agent task review
Typical outputs
- Rubric-based assessments and preference rankings
- Annotated disagreements and reviewer rationale
Put judgment where the workflow needs it.
Your starting point
A workflow, its review criteria and the decisions that need human attention.
The human work
- Operational review
- Exception handling
- Quality & escalation
Typical outputs
- Reviewed work and documented decisions
- Exception records and escalation summaries
Bring evidence to the next decision.
Your starting point
A research question, permitted sources and the evidence your team needs.
The human work
- Source checking
- Evidence review
- Structured research
Typical outputs
- Structured research records and source links
- Claim and evidence comparisons
For AI development.
For AI-enabled work.
Using AI
Place human review and escalation within business workflows. Define which outputs need attention, what reviewers can decide and who takes responsibility for exceptions.
Explore support for AI usersChoose where responsibility sits.
The capability defines the work. The engagement model defines who directs it and how responsibilities are shared.
Managed services
ADCO organizes the team, instructions, coordination and quality review for defined deliverables. Scope, acceptance criteria and responsibilities are agreed before work begins.
Explore managed servicesStaff augmentation
Dedicated professionals work within your team’s priorities and workflow. Role requirements, qualifications, access and review responsibilities are confirmed for the engagement.
Explore staff augmentationClear scope.
Agreed responsibilities.
Each engagement needs defined instructions, permitted sources, approved tools, appropriate qualifications and an acceptance process. Language, specialist expertise, working locations and availability are confirmed for the work. Human review complements technical safeguards and does not replace regulated professional judgment.
Explore Trust & SecurityTell us what needs human expertise.
Bring us a defined task, a recurring workflow or a role you need to fill. We’ll discuss the capability and engagement model that fit the scope.
Discuss a project