system-prompts-and-models-of-ai-tools/salesflow-saas/docs/AGENT-MAP.md

AI Agent Registry

Dealix runs 19 specialized AI agents (including customer-facing onboarding). Each agent executes as a Celery task, receives structured input, returns structured output, and follows defined escalation rules. All invocations are logged to ai_conversations for audit.

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1. Lead Qualification Agent

Property	Value
ID	lead_qualification
Role	Score and qualify inbound leads based on profile, behavior, and sector fit
Inputs	Lead record (name, phone, email, company, sector, city, source), activity history, tenant scoring rules
Outputs	Qualification score (0-100), status recommendation (qualified/unqualified), reasoning, suggested next action
Escalation	Score between 40-60 (ambiguous) -> flag for human review. Missing critical fields -> request enrichment before scoring

2. Affiliate Recruitment Evaluator

Property	Value
ID	affiliate_evaluator
Role	Evaluate affiliate applications for approval based on profile, network reach, and sector alignment
Inputs	Affiliate application (profile, experience, sector, network size, motivation), tenant criteria
Outputs	Approval recommendation (approve/reject/review), tier suggestion, risk flags, onboarding notes
Escalation	High-risk indicators (fraud history, competitor affiliation) -> escalate to admin. Borderline cases -> queue for manual review

3. Onboarding Coach

Property	Value
ID	onboarding_coach
Role	Guide new affiliates and agents through platform onboarding with step-by-step instructions
Inputs	User profile, role (affiliate/agent), completed onboarding steps, language preference
Outputs	Next onboarding step, instructional message (Arabic or English), checklist status, resource links
Escalation	User stuck for >48 hours -> notify manager. Repeated confusion on same step -> flag UX issue

4. Outreach Writer

Property	Value
ID	outreach_writer
Role	Draft personalized outreach messages for leads across channels (WhatsApp, email, SMS)
Inputs	Lead profile, sector, channel, language, campaign context, previous interactions, template (optional)
Outputs	Draft message, subject line (email), suggested send time, A/B variant (optional)
Escalation	Compliance flag on content (regulated sector) -> route to Compliance Reviewer. Lead marked do-not-contact -> block and alert

5. Arabic WhatsApp Agent

Property	Value
ID	arabic_whatsapp
Role	Handle Arabic WhatsApp conversations with leads and contacts autonomously
Inputs	Inbound WhatsApp message, conversation history, lead/contact record, active campaign context
Outputs	Reply message (Arabic), detected intent, sentiment, extracted entities, conversation state update
Escalation	Negative sentiment for 2+ consecutive messages -> transfer to human. Request for pricing/legal terms -> transfer to agent. Unrecognized intent after 2 attempts -> transfer to human

6. English Conversation Agent

Property	Value
ID	english_conversation
Role	Handle English conversations across WhatsApp, email, and chat
Inputs	Inbound message, channel, conversation history, lead/contact record
Outputs	Reply message (English), detected intent, sentiment, extracted entities, conversation state update
Escalation	Same rules as Arabic WhatsApp Agent. Language switch detected -> hand off to Arabic WhatsApp Agent

7. Voice Call Agent

Property	Value
ID	voice_call
Role	Analyze voice call transcripts and provide real-time call guidance
Inputs	Call transcript (live or post-call), lead/contact record, deal context, call direction
Outputs	Call summary, sentiment analysis, key topics extracted, recommended follow-up actions, objections detected
Escalation	Customer threat or legal mention -> alert supervisor immediately. Competitor mention -> flag for strategy review

8. Meeting Booking Agent

Property	Value
ID	meeting_booking
Role	Negotiate and book meeting times with leads via conversational exchange
Inputs	Lead record, assigned agent calendar availability, preferred channel, language, timezone
Outputs	Proposed time slots, booking confirmation message, calendar event payload, auto_booking record
Escalation	Lead rejects 3+ proposed times -> escalate to human agent. Calendar conflict detected -> alert assigned agent

9. Sector Strategist

Property	Value
ID	sector_strategist
Role	Generate sector-specific sales strategies, talking points, and competitive positioning
Inputs	Sector identifier, company profile, deal context, knowledge base articles, competitor data
Outputs	Strategy brief, key talking points, objection predictions, recommended assets, pricing guidance
Escalation	Unknown sector with no knowledge base data -> flag for content team. Conflicting market data -> flag for review

10. Objection Handler

Property	Value
ID	objection_handler
Role	Detect objections in conversations and generate contextual responses
Inputs	Conversation message(s), detected objection type, lead/deal context, sector, language
Outputs	Objection classification, recommended response (Arabic/English), supporting evidence, confidence score
Escalation	Pricing objection on deal >100K SAR -> involve manager. Legal/compliance objection -> route to Compliance Reviewer

11. Proposal Drafter

Property	Value
ID	proposal_drafter
Role	Generate structured proposals and pitch decks based on deal context and sector assets
Inputs	Deal record, company profile, sector assets, pricing data, template, language
Outputs	Proposal document (structured JSON), executive summary, pricing table, terms section, version number
Escalation	Deal value >500K SAR -> require manager approval before sending. Custom terms requested -> flag for legal review

12. QA Reviewer

Property	Value
ID	qa_reviewer
Role	Review AI-generated content (messages, proposals, responses) for quality, accuracy, and tone
Inputs	Generated content, content type, target audience, language, context
Outputs	Quality score (0-100), issues found, suggested corrections, approval status (pass/revise/fail)
Escalation	Score below 50 -> block content from sending, alert content team. Factual error detected -> block and flag

13. Compliance Reviewer

Property	Value
ID	compliance_reviewer
Role	Check messages, proposals, and actions for regulatory compliance (Saudi regulations, data protection, marketing laws)
Inputs	Content to review, content type, target region, sector, applicable policies
Outputs	Compliance status (compliant/non_compliant/review_needed), violations found, required changes, regulation references
Escalation	Clear violation -> block action and alert compliance officer. Ambiguous case -> queue for human legal review

14. Knowledge Retrieval Agent

Property	Value
ID	knowledge_retrieval
Role	Search and retrieve relevant knowledge base articles using semantic search (RAG)
Inputs	Query (natural language), sector filter, language, context (which agent is requesting)
Outputs	Ranked article list with relevance scores, extracted snippets, source references
Escalation	No relevant results found (all scores below threshold) -> flag knowledge gap for content team

15. Revenue Attribution Agent

Property	Value
ID	revenue_attribution
Role	Attribute revenue to affiliates, campaigns, and channels using multi-touch attribution
Inputs	Deal record, lead journey (touchpoints), affiliate referral data, campaign history
Outputs	Attribution breakdown (affiliate %, campaign %, channel %), commission calculation, confidence score
Escalation	Multiple affiliates claim same lead -> flag for dispute resolution. Attribution confidence below 70% -> flag for manual review

16. Fraud Reviewer

Property	Value
ID	fraud_reviewer
Role	Detect fraudulent patterns in affiliate activity, lead generation, and commission claims
Inputs	Affiliate activity log, lead generation patterns, commission history, IP/device data, behavioral signals
Outputs	Risk score (0-100), fraud indicators found, recommended action (clear/monitor/suspend/block), evidence summary
Escalation	Risk score >80 -> auto-suspend affiliate and alert admin. Coordinated fraud pattern (multiple accounts) -> escalate to platform security

17. Guarantee Reviewer

Property	Value
ID	guarantee_reviewer
Role	Evaluate gold guarantee claims for validity and recommend approval or denial
Inputs	Guarantee claim, deal record, customer record, service delivery evidence, policy rules
Outputs	Validity assessment, recommendation (approve/deny/partial), refund amount suggestion, reasoning, policy references
Escalation	Claim >50K SAR -> require director approval. Repeat claimant (3+ claims) -> flag for fraud review. Policy ambiguity -> escalate to legal

18. Management Summary Agent

Property	Value
ID	management_summary
Role	Generate executive summaries and reports for management dashboards
Inputs	Time period, metrics scope (revenue, pipeline, affiliates, agents, guarantees), tenant data
Outputs	Executive summary (Arabic/English), key metrics, trend analysis, alerts, recommended actions
Escalation	Revenue decline >20% period-over-period -> urgent alert to owner. Data anomaly detected -> flag for investigation

19. Customer Integration Concierge

Property	Value
ID	integration_concierge
Role	Guide paying B2B customers and their IT/channel owners through environment setup, integrations, WhatsApp, and go-live checks — step by step, in Arabic/English
Inputs	Current onboarding step id, tenant context, optional go-live matrix snapshot, user question, last connectivity-test or API error (sanitized)
Outputs	Next actions for customer vs Dealix CSM, verification hints (no secrets), escalation flag to human
Escalation	Repeated credential failures, Meta/Salesforce org access blocked, or policy-sensitive requests -> human CSM

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Agent Invocation Flow

Event Received
     |
     v
Agent Router --> selects agent(s) by event type
     |
     v
Input Validation --> schema check
     |
     v
Celery Task Dispatch --> async execution
     |
     v
LLM Call --> OpenAI / provider
     |
     v
Output Parsing --> structured response
     |
     v
Escalation Check --> meets escalation criteria?
     |                    |
     No                  Yes
     |                    |
     v                    v
Action Handler      Human Handoff
(DB update,         (notify agent,
 send message,       create task,
 book meeting)       alert manager)
     |                    |
     v                    v
Log to ai_conversations

Agent Configuration

Each agent is defined in ai-agents/ with:

• prompt.md - System prompt and instructions
• schema.json - Input/output JSON schema
• config.yml - Model, temperature, max tokens, retry policy, escalation rules
• tests/ - Example inputs and expected outputs