01
People classify similar inquiries and files every day
Staff read email, forms, and PDFs, decide product, urgency, and owner, then copy fields manually.
Business impact
High-frequency low-value work delays response and loses important details.
Back to solutions
AI & automation
AI workflows for documents, service, quotations, and system handoffs
Put AI inside daily work: classify inquiries, extract document fields, summarize meetings, draft replies and quotes, then connect the result back to CRM, orders, or internal systems.
Inquiry classificationDocument extractionMeeting summariesReply / quote draftsInternal knowledge search
AgentTech delivers
AI classification, summaries, drafts, knowledge search, and cross-system automation
Outcome
Less manual work, faster response, less duplicate entry
Concrete problem scenarios
The problem is rarely a missing tool—the workflow keeps losing value here
02
Meetings, service, and documents never enter the system
Summaries remain in personal notes, tasks are created manually, and decisions or promises are difficult to search.
Business impact
Information is repeatedly reorganized while handoff and knowledge accumulation stay slow.
03
AI creates content but people still move it between tools
A draft is generated in a chat tool and then copied into CRM, quotes, tasks, or documents.
Business impact
One step improves while the end-to-end workflow remains manual and unauditable.
AgentTech approach
Turn the problem into a deliverable workflow, then build a reliable and measurable system
StepHow it is solvedTechnical advantage
01
Select a valuable step
Use frequency, labor, data quality, failure cost, and reviewability to choose a pilot.
Structured output
Turn unstructured text and documents into validated fields, categories, summaries, and drafts for downstream systems.
02
Design human collaboration
Define input, prompts, output format, approval, exceptions, and failure handling before high-risk action.
Permissions and traceability
Preserve sources, model output, human changes, versions, and actions so the workflow can be reviewed.
03
Connect existing systems
Use APIs, webhooks, and schedules to write results into CRM, orders, tasks, documents, or reports.
Model and system integration
Choose models by quality, speed, cost, and data needs, integrating databases, search, and business APIs.
System flow blueprint
Every step has explicit data, ownership, and a next action
01
Email / form / document
02
AI classification and extraction
03
Human approval
04
CRM / tasks / reporting
SEO content entry points
Every real pain point can become content customers are actively searching for
Solution pages capture commercial demand. Articles answer cost, comparison, workflow, feature, and implementation questions, then route search traffic back to services and inquiries.
Browse insightsWhich SME work is suitable for AI automation
Human review in AI customer service
Extracting fields from PDF documents
Turning meeting summaries into tasks
Designing AI quotation drafts
Building an internal knowledge base
Connecting AI to CRM and orders
Measuring AI automation ROI
FAQ
Common evaluation questions
Do we need a complete knowledge base first?
No. Start with one document type, FAQ set, or department, then expand after validating search quality and permissions.
What happens when AI is wrong?
Use human approval, confidence thresholds, exception queues, and activity logs. High-risk output should not execute automatically.
How is AI automation measured?
Compare processing time, first response, duplicate entry, error rate, review time, and cost per task before and after.
Start with clarity
Evaluating ai & automation? Start with the current problem and desired outcome
Share the current tools, roles, frequency, and labor or revenue impact. We will identify the workflow and technical scope worth addressing first.