Automate your Testing, Inspection, and Certification
with AI agents
Accelerate certification reviews with an AI agent that checks submissions, extracts evidence, applies regulatory rules, and prepares review outputs — while keeping final decisions with your authorized officers.
How can AI agents automate product certification workflows for testing, inspection, and certification companies?
Quick Answer: AI agents can automate product certification workflows by checking application completeness, extracting data from technical documents, applying checklist-based review rules, routing cases to the right reviewers, and preparing certification outputs for human approval.
AI Insights
Faster certification turnaround
AI agents reduce manual effort across document intake, completeness checks, evidence extraction, and technical review preparation, helping certification teams move cases forward faster.
Stronger consistency and traceability
Agentic process automation helps apply the same checklists, rules, and review logic across cases, while maintaining clear audit trails for human decisions and supporting evidence.
Better use of expert inspectors
AI assistants handle repetitive document checking and case preparation, so inspectors can spend more time on technical judgement, exceptions, and final certification decisions.
Why manual TIC certification workflows
are holding you back
Challenges:
Document-heavy submissions
Certification applications often involve application forms, test reports, lab accreditation certificates, product details, hardware schedules, and supporting evidence. Manually checking every document is slow, repetitive, and prone to missed details.
Inconsistent completeness checks
Different administrators may interpret submission requirements differently, especially when documents arrive in multiple rounds. This creates rework, delays, and uneven applicant experience.
Technical review bottlenecks
Inspectors often spend valuable time searching through reports, validating standards, checking specimen identity, reviewing scope coverage, and confirming result consistency before they can make a judgement.
Manual routing and follow-up
Product type, certification scheme, application type, and declared components may determine what documents are required next. Without automation, administrators must manually decide what to request and when to escalate.
Limited case visibility
When documents, decisions, comments, and versions are spread across folders, emails, approvals, and spreadsheets, it becomes difficult to see the latest case status or reconstruct the full review trail.
Compliance and audit pressure
TIC organizations must show that certification decisions are controlled, traceable, and made by authorized personnel. Manual workflows make audit readiness harder, especially as case volumes grow.
Solution Overview:
AI-powered submission review
The AI agent reviews submitted certification documents, extracts key information, and checks whether required documents and fields are present before the case proceeds.
Checklist-driven assessment
Configurable checklists guide the AI agent through completeness checks, technical review rules, document validity checks, and evidence requirements, enabling a repeatable agentic workflow.
Intelligent routing support
The AI agent applies product classification, certification scheme, and application type rules to determine the next processing steps, required documents, and reviewer assignment requirements.
Technical review preparation
AI assistants extract and compare technical information from test reports, certificates, and supporting documents, then prepare findings for inspector review.
Human-in-the-loop approvals
The agentic workforce supports administrators and inspectors, but final approvals, verification, and certification decisions remain with authorized officers.
Audit-ready evidence trail
Each finding can be linked back to source documents, extracted text, checklist references, and case actions, supporting stronger governance and traceability.
How our AI assistant for
Testing, Inspection, and Certification works
Step 1
The AI agent starts when a new certification application is submitted.
Step 2
It extracts key details from application forms, test reports, certificates, and supporting files.
Step 3
It checks whether required documents and information are present.
Step 4
It highlights gaps, inconsistencies, or unclear evidence for follow-up.
Step 5
It applies certification rules to recommend the next action or reviewer.
Step 6
It summarizes key findings for the administrator or inspector.
Step 7
It sends the case for human review, verification, or approval.
Step 8
It prepares draft reports, certificates, or case summaries for finalization.
Key features and benefits of Agentic AI
Ready to take the next step toward faster, more consistent certification reviews?
It is time to delegate repetitive document checking, routing, and review preparation to your own AI agent — so your TIC experts can focus on the decisions that truly require human judgement.