Automate a defined task, not a vague process
The input, rule or model, permitted output, correct-result test, exclusions, and downstream use are documented.
Delivery & Governance
Use rules, automation, and AI where the task can be tested, accountability is explicit, and exceptions return cleanly to human judgment.
Discuss the delivery requirementWhy it matters
Repetition does not automatically make a task suitable for automation. The work may depend on unstable inputs, undocumented judgment, ambiguous exceptions, or consequences that require closer human review.
AdvanPath evaluates automation at task level. The parties define what the technology may do, what evidence supports approval, what a person must review, how exceptions leave the automated path, and who remains accountable for the result.
Principles
The input, rule or model, permitted output, correct-result test, exclusions, and downstream use are documented.
Missing fields, changing formats, contradictory sources, low-quality documents, unusual cases, and live exceptions are included in evaluation.
The client approves the use, review standard, release authority, exception path, monitoring, and conditions that pause or remove automation.
Speed or handling time is considered with quality, review effort, exception volume, correction cost, downstream rework, and consequential errors.
Operating method
Choose a task with a clear purpose, stable enough inputs, testable outcomes, and an accountable owner.
Define the automated action, human review, data, exclusions, exceptions, controls, approval, and fallback.
Run representative standard and exception cases with full or risk-based review and documented corrections.
Monitor results, data quality, exceptions, review coverage, corrections, incidents, and the outcome the automation was intended to improve.
Update or stop automation when inputs, instructions, performance, risk, technology, or client approval changes.
Evidence
Responsibilities
AdvanPath responsibility
Operate approved automation within scope, preserve required review and exceptions, monitor assigned measures, and escalate unexpected or consequential behavior.
Client responsibility
Approve the business purpose, data, risk, release authority, review standard, and final decisions requiring client policy, professional judgment, or legal authority.
Dependencies
Source systems, third-party tools or models, changing formats, provider availability, client data quality, and downstream systems may affect performance.
Related services
Digital Operations & Data / ITES
Keep digital workflows moving as volumes, systems, and exceptions change—without losing visibility or client control.
See the workflowDigital Operations & Data
Turn fragmented or inconsistent inputs into trusted data that downstream teams and systems can use.
Review the controlsKnowledge & Customer Operations / KPO
Extend research capacity and prepare decision-ready material without outsourcing expert judgment.
Explore the research modelNo. Technology is considered only where the task, data, controls, client approval, and operating benefit support its use.
Accountability is assigned in the engagement and use-case approval. Automation does not remove client authority for policy, professional, legal, or other retained decisions.
It should be paused or removed when performance falls outside the approved standard, inputs change materially, exceptions cannot be handled safely, required review is unavailable, an incident occurs, or the client withdraws approval.
Related insights
Automation
Automation and AI create value where inputs are stable, outcomes can be tested, accountability is explicit, and exceptions move cleanly to human judgment.
Read the guideService governance
Good governance gives each forum a decision purpose, connects service evidence to accountable owners, and controls how issues, dependencies, and changes move through the relationship.
Read the guideShare the task, data, current effort, expected outcome, error consequence, review requirement, and decision owner.