Customer messages arrive by chat and email. Maya searches your client's knowledge base and auto-resolves L1 tickets on the spot. When the issue needs a human, Maya classifies it, attaches full context, and routes the escalation — the agent picks up without asking the customer to repeat anything.
What BPO help desk operations still look like without this bundle
L1 support handles high-volume routine requests — password resets, order status, account questions, policy lookups. These are the most commonly outsourced tier because the answers already exist in SOPs and knowledge bases. The problem is that human agents still look them up manually, one ticket at a time.
Every Ticket Starts from Zero
A customer writes in about a return policy. The agent searches the SOP document, finds the section, reads it, paraphrases it into a reply, and sends it. The next customer asks the same question. The next agent does the same search. The answer was in the knowledge base the entire time — the lookup is the bottleneck, not the knowledge.
Escalations Lose Context
When L1 cannot resolve an issue, the ticket moves to L2. But the context transfer is often a one-line note — "customer has billing issue." The L2 agent re-asks the same questions. The customer repeats their story. Average handle time doubles. Customer satisfaction drops at the handoff, not at the resolution.
Volume Spikes Break Staffing Models
A product recall notice goes out. A pricing change takes effect. A service outage hits. Volume spikes 200% and every human agent is underwater. The tickets that could be auto-resolved — "is this recall affecting my model?" with the answer in the FAQ — sit in the same queue as genuinely complex issues. No prioritisation, no deflection.
Brand Voice Inconsistency
40 agents across 3 shifts answer the same question 40 different ways. Each agent paraphrases the SOP in their own style, tone, and level of detail. The client's brand voice guide exists in a shared folder. It is not enforced at the point of response. Consistency depends on individual agent discipline.
Pre-Built Workflow
Two tiers — L1 auto-resolve, L2 structured escalation
Maya handles the first tier entirely. Routine tickets that have answers in the knowledge base get resolved without a human looking at them. Issues that need human judgment get classified, enriched with context, and routed — the L2 agent starts with full information instead of a blank screen.
L1 — Auto-Resolve
Maya handles — no human needed
Customer message arrives via chat or email
Maya classifies the request into one of 8 categories (billing, returns, account, product info, shipping, technical, complaint, other)
Knowledge base search — Maya finds the answer from the client's loaded SOPs, product docs, FAQ sheets, and policy documents
High-confidence match → Maya responds using the client's brand voice from loaded materials
Response generated and sent — ticket resolved without human involvement
Low-confidence match or ambiguous request → ticket moves to L2 escalation flow
L2 — Structured Escalation
Human agent picks up with full context
Maya attaches classification, confidence score, and customer intent summary to the ticket
Knowledge base search results included — the closest-matching documents are attached even when confidence was too low to auto-respond
Suggested reply drafted by Maya — agent can send as-is, edit, or write their own
Emotionally sensitive or complaint-flagged tickets get priority routing
Callback scheduling available — if the customer prefers a call, Maya books the slot
Full conversation history preserved — the customer never repeats themselves at handoff
Industry benchmark: RAG-powered L1 auto-resolve typically deflects 40–70% of routine tickets. The remaining 30–60% reach L2 with full context attached.
Three Layers Working Together
Avatar + Knowledge + Tools — in one support session
The optional avatar layer puts Maya face-to-face with the customer for live support sessions. Without avatar, the same L1 auto-resolve and L2 escalation workflow runs through chat and email as a straight text workflow.
Client Knowledge Base Is the Brain
Every auto-resolved response comes from the client's own documentation. When a customer asks "can I return this after 30 days?" — Maya searches the client's returns policy document, finds the specific clause, and responds with the exact terms. When a customer asks about a product feature, Maya pulls from the client's product documentation. The answers are as accurate as the documents the client provides. Nothing is invented. Nothing is generic. If the knowledge base does not contain the answer, Maya does not guess — the ticket escalates to L2 with a note explaining what was searched and not found.
With Avatar
Maya appears face-to-face for live help desk sessions — customers talk to a person instead of typing into a chat box
Searches the client's knowledge base in real time while the conversation is happening — no wait, no hold
Displays relevant policy documents and product information as visual link cards during the conversation
Collects complaint details through natural conversation instead of structured forms
Escalates to a human with full video session transcript attached — the L2 agent watches the replay instead of re-asking
Available 24/7 — no shift scheduling, no timezone gaps
Straight Workflow (No Avatar)
Same L1 auto-resolve, same knowledge base search, same classification — no video layer
Runs on chat widgets embedded on the client's website or through email
Email triage classifies incoming messages into 8 categories with confidence scores
Auto-generated suggested replies for L2 agents to review before sending
Results delivered via API, webhook, or directly to the client's ticketing system
Lower cost per interaction — suitable for high-volume email support operations
Three scenarios — from a BPO operations perspective
Each scenario shows a real situation, what Maya does at each tier, and the structured output the operation receives.
E-Commerce Support BPO — Returns and Order Status
Online retailer outsources L1 support handling 500+ tickets per day
Client's returns policy, shipping FAQ, product catalog, and order status lookup procedures loaded into knowledge base
Customer emails "where is my order?" — Maya classifies as shipping/order status, searches knowledge base for tracking instructions, responds with step-by-step guide
Customer asks "can I return this item I bought 45 days ago?" — Maya finds the 30-day return window in the client's policy, responds that the window has passed, offers alternative options from the policy document
Customer writes "I received a damaged product and I want a refund immediately" — Maya classifies as complaint, flags as emotionally sensitive, escalates to L2 with full context and suggested response
Volume spike during holiday sales — routine questions (return policy, shipping times, payment methods) auto-resolved, human agents focus on damaged goods and refund disputes
Output: Daily ticket report — 512 tickets received, 318 auto-resolved at L1 (62%), 194 escalated to L2 with classification + context. Top L1 categories: order status (41%), return policy (28%), payment methods (18%). Average L1 response time: under 30 seconds.
SaaS Support BPO — Technical Help Desk
Software company outsources L1 technical support for 3 product lines
Separate knowledge bases per product — setup guides, troubleshooting trees, known issues, release notes, and API documentation loaded separately
Customer emails "how do I reset my API key?" — Maya identifies the product from the customer's account, searches that product's knowledge base, responds with step-by-step instructions
Customer reports "the dashboard is loading slowly since yesterday" — Maya searches known issues, finds no match, classifies as technical/performance, escalates to L2 with system details and a suggested investigation path
New product release — updated documentation loaded into knowledge base, Maya immediately uses the new content for incoming questions about the release
Email triage classifies tickets into 8 categories: billing, account, product info, technical, bug report, feature request, complaint, other — each with confidence score
Output: Weekly support report — 847 tickets, 491 auto-resolved (58%), 356 escalated. Product A: 67% deflection (mature docs). Product B: 42% deflection (new product, docs still growing). Top escalation reason: bug reports (not in knowledge base by nature).
Telecom Support BPO — Multi-Channel with Callback
Telecom provider outsources chat and email support with callback scheduling
Plan details, billing procedures, coverage maps, device compatibility lists, and outage notification templates loaded into knowledge base
Customer on chat asks "does the unlimited plan include international roaming?" — Maya searches plan documentation, responds with the specific terms for that plan
Customer emails about a billing discrepancy — Maya classifies as billing, attaches relevant billing policy documents, escalates to L2 with suggested reply referencing the specific policy section
Customer requests a callback instead of waiting in chat — Maya books a callback slot and confirms the time, L2 agent receives the ticket with full context before the call
Service outage in a region — Maya recognises outage-related queries from the loaded outage notification, auto-responds with status update and expected resolution time
Output: Monthly operations report — 12,400 interactions, 7,688 auto-resolved at L1 (62%), 4,712 escalated to L2. Callbacks scheduled: 847. Brand voice consistency: all L1 responses generated from client's loaded documentation. Zero customer repeats at L1-to-L2 handoff.
Tools in This Bundle
10 tools — all live, all included
Every tool in this bundle is built, tested, and running in production. L1 auto-resolve uses the knowledge base search and email triage tools. L2 escalation uses intake summary, document extraction, and callback scheduling. All 10 work together in the two-tier workflow.
10 TOOLS • ALL LIVE
Email TriageClassify incoming messages into 8 categories with confidence scores. Routes: auto-respond, queue for review, escalate to human, discard
Knowledge Base SearchSearch client SOPs, product docs, FAQ sheets, and policy documents. Returns the specific passage that answers the question
Intake SummaryStructure a customer's issue from conversation or email thread into organised fields: problem, context, attempted solutions, desired outcome
Intake QuestionsGenerate targeted follow-up questions when the initial message lacks detail. Gathers the specifics L2 needs without the customer repeating themselves
Document SummarySummarise lengthy customer-submitted documents, attachments, or email threads into a concise brief for the L2 agent
Extract RequirementsPull specific requirements, conditions, or obligations from policy documents, contracts, or SLA terms relevant to the ticket
Schedule CallbackBook a callback appointment when the customer prefers a call. Agent receives the ticket with full context before dialling
Send SMS NotificationSend ticket status updates, callback confirmations, or resolution summaries to the customer via SMS
Compliance File TrackerTrack which client documents are loaded, when they were last updated, and flag stale documentation that needs refresh
Follow-Up SequencerAutomate follow-up messages after ticket resolution — satisfaction check, additional help offer, survey link
Traditional help desk operations staff human agents to look up answers that already exist in documents. This bundle automates the lookup at L1 and enriches every L2 escalation with full context — the human agents focus on issues that genuinely need human judgment.
Traditional BPO Help Desk
Every ticket handled by a human agent regardless of complexity
Agent manually searches SOPs and knowledge bases for each question
Escalation transfers a one-line note — L2 agent re-asks the same questions
Volume spikes require emergency staffing or overtime
Brand voice depends on individual agent interpretation of the style guide
No automatic classification — tickets are read and routed manually
Callback scheduling handled through separate tools or manual calendar checks
VS
BPO Help Desk Bundle Agent
L1 auto-resolved from client's loaded knowledge base — 40–70% ticket deflection
Knowledge base searched automatically in under 2 seconds per query
L2 escalation includes classification, confidence score, context summary, and suggested reply
Volume spikes absorbed at L1 — flat pricing regardless of ticket count
Every L1 response generated from the client's own documents in their brand voice
Email triage classifies into 8 categories with confidence scores automatically
Callback scheduling built in — customer books a slot, agent gets full context before the call
L1 auto-resolve from your client's own knowledge base. L2 escalation with full context and suggested replies. Callback scheduling. 10 tools. Flat pricing regardless of volume.
The BPO Help Desk Bundle Agent is a pre-built two-tier AI support workflow powered by Maya. L1 auto-resolve handles routine tickets by searching the client's loaded knowledge base — SOPs, product documentation, FAQ sheets, and policy documents — and responding in the client's brand voice without human involvement. Industry benchmarks show RAG-powered L1 auto-resolve typically deflects 40 to 70 percent of routine support tickets. When confidence is low or the issue requires human judgment, Maya classifies the ticket into one of 8 categories (billing, returns, account, product info, shipping, technical, complaint, other) with a confidence score, attaches full context including knowledge base search results and a suggested reply, and routes to L2. The L2 agent picks up with complete information — customer history, classification, attempted resolution, and suggested response — eliminating the re-ask that kills customer satisfaction at handoff. Callback scheduling is built in for customers who prefer a call. SMS notifications keep customers informed of ticket status. The bundle includes 10 tools from the TaskMaster tool library: email triage, knowledge base search, intake summary, intake questions, document summary, extract requirements, schedule callback, send SMS notification, compliance file tracker, and follow-up sequencer. All tools are live and running in production. The optional two-way video avatar layer enables face-to-face live support sessions where Maya searches the knowledge base in real time during the conversation. Available in 30 languages with pay-as-you-go pricing. No long-term commitment required. Business and deployment partner licenses available.