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Customer onboarding

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Blueprint pattern for an AI agent team that orchestrates customer onboarding: client intake, account setup, KYC, and onboarding automation. 5-agent architecture with pipeline orchestration. Use when a user asks you to build customer onboarding automation, client intake, account provisioning, new customer setup, or onboarding workflow agents. Triggers: customer onboarding, client intake, account setup, new customer, onboarding automation, KYC, identity verification, customer provisioning, welcome workflow, client activation, account creation, onboarding agents, customer lifecycle.

The file declares its own license as Apache-2.0. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

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Customer Onboarding -- Agent Team Blueprint Pattern

An architecture pattern for automating customer onboarding with a 5-agent team. Covers initial intake through full account activation and handoff to ongoing service.

This is a pattern, not a full implementation plan. It gives you the agent team structure, roles, orchestration, and integration points. For a complete blueprint with business case, financial projections, phased implementation plan, and deployment guides, generate one via the Agent Blueprint MCP server (agentblueprint npm package) or at agentblueprint.ai.


The Problem

Customer onboarding is the highest-stakes moment in the customer lifecycle. Slow onboarding drives churn. Manual handoffs between departments drop tasks. Document collection drags for weeks. Compliance checks (KYC/AML, credit, identity) are bottlenecks. New customers get inconsistent experiences depending on which team handles their case.

Agent Team (5 Agents)

1. Intake Agent (Entry Point)

Role: Receives new customer applications, validates completeness, creates the onboarding case, and kicks off the pipeline. Single entry point regardless of channel (web form, email, API, sales handoff).

Inputs: Customer application data, channel metadata, sales context (if warm handoff), attached documents

Outputs: Onboarding case with:

  • Customer profile (name, entity type, contact info, industry)
  • Product/service tier selected
  • Document checklist (required vs. received vs. missing)
  • Risk tier (standard, enhanced, high) based on initial signals
  • Onboarding timeline with milestones

Decision logic:

  • If application is complete → Verification Agent immediately
  • If documents are missing → Communication Agent to request, then pause pipeline
  • If high-risk signals (industry, geography, entity structure) → flag for enhanced due diligence, set risk tier to "enhanced"
  • If existing customer (upsell/cross-sell) → pull existing profile, skip redundant verification steps

Tools needed: Application form read, customer database lookup (existing customer check), document checklist generator, case creation

2. Verification Agent

Role: Validates customer identity, documents, and compliance requirements. Runs all checks that must pass before account provisioning.

Inputs: Customer profile, submitted documents, risk tier

Outputs:

  • Verification results matrix (each check: pass/fail/pending)
  • Document authenticity assessment
  • Compliance clearance (KYC/AML pass, sanctions screening, credit check)
  • Risk score with supporting factors
  • Exceptions requiring human review

Verification checks (configurable by industry):

  • Identity verification (government ID, business registration)
  • Address verification
  • Sanctions and PEP screening
  • Credit/financial checks (if applicable)
  • Industry-specific compliance (healthcare: HIPAA BAA, finance: SOX, etc.)
  • Beneficial ownership (for business entities)

Decision logic:

  • If all checks pass → Provisioning Agent
  • If check fails with clear disqualifier → reject, Communication Agent notifies with reason
  • If check is inconclusive → flag for human compliance review, pause pipeline
  • If document quality is poor (blurry, expired) → Communication Agent requests resubmission

Tools needed: Identity verification API, sanctions screening, credit check API, document OCR/validation, compliance rules engine

3. Provisioning Agent

Role: Creates and configures all accounts, access, and resources the customer needs. Executes the setup that used to require coordination across 3-5 internal teams.

Inputs: Verified customer profile, product/service tier, compliance clearance

Outputs:

  • Account created with correct tier and configuration
  • User credentials generated and stored securely
  • Access permissions set per product tier
  • Billing/subscription activated
  • Integration endpoints configured (API keys, SSO, etc.)
  • Welcome materials prepared (customized to tier and industry)

Provisioning steps (parallel where possible):

  • CRM record creation/update
  • Billing account and subscription setup
  • Product access and licensing
  • SSO/authentication configuration
  • API credentials and integration setup
  • Storage/workspace allocation
  • Notification preferences defaulted

Decision logic:

  • If provisioning step fails → retry once, then flag for ops team
  • If tier requires custom configuration → create setup task for implementation team
  • Once all provisioning complete → Communication Agent sends activation package

Tools needed: CRM API, billing system API, identity provider (SSO setup), product access management, API key generation, workspace provisioning

4. Communication Agent

Role: Manages all customer-facing communications throughout onboarding. Ensures the customer always knows their status and next action.

Inputs: Onboarding case, milestone events, action items

Outputs:

  • Welcome communications (branded, tier-appropriate)
  • Document request messages with clear instructions
  • Status updates at each milestone
  • Activation package (credentials, getting-started guide, key contacts)
  • Escalation alerts for stalled onboarding cases
  • Feedback request at onboarding completion

Communication channels: Email, in-app notifications, SMS (configurable). Channel preference set during intake.

Decision logic:

  • If document request unanswered after 48 hours → send reminder
  • If second reminder unanswered → escalate to account owner
  • If onboarding stalled >7 days → alert customer success manager
  • If activation confirmed → trigger 30-day check-in schedule

Tools needed: Email/notification system, template engine, document upload portal, scheduling system, escalation workflow

5. Handoff Agent

Role: Finalizes onboarding and transitions the customer to ongoing service. Ensures nothing falls through the gap between "onboarded" and "active customer."

Inputs: Completed onboarding case, all provisioning and verification results

Outputs:

  • Customer success package (structured summary for the assigned CSM)
  • Health score baseline (initial engagement metrics)
  • Onboarding retrospective (cycle time, friction points, exceptions)
  • Scheduled touchpoints (30/60/90-day check-ins)
  • Case closed with full audit trail

Handoff package includes:

  • What was sold (products, tier, commitments)
  • What was configured (integrations, customizations, access)
  • What was flagged (exceptions, special requirements, risk notes)
  • Who the contacts are (decision-maker, technical contact, billing contact)
  • Next expected actions (training, first usage, integration completion)

Decision logic:

  • If customer hasn't logged in within 7 days of activation → Communication Agent sends nudge, alert CSM
  • If exceptions were raised during onboarding → include prominently in handoff package
  • If onboarding exceeded target duration → flag for process improvement review

Tools needed: Customer success platform, health score calculation, calendar scheduling, case management, analytics


Orchestration Pattern

Pattern: Pipeline with parallel branches

Onboarding is fundamentally sequential (you can't provision before verifying), but several steps within each stage run in parallel.

Application arrives
        │
        ▼
  ┌───────────┐
  │  Intake   │◄──── documents missing ────┐
  │  Agent    │                            │
  └─────┬─────┘                            │
        │                          ┌───────────────┐
        ▼                          │Communication  │
  ┌──────────────┐                 │    Agent      │
  │ Verification │── doc issues ──►│  (requests    │
  │    Agent     │                 │   resubmit)   │
  └──────┬───────┘                 └───────────────┘
         │                                ▲
         ▼                                │
  ┌──────────────┐                        │
  │ Provisioning │── activation ──────────┘
  │    Agent     │   package
  └──────┬───────┘
         │
         ▼
  ┌──────────────┐
  │   Handoff    │
  │    Agent     │
  └──────┬───────┘
         │
         ▼
   Active customer

The Communication Agent runs alongside the pipeline, not as a step in it. Any agent can trigger communications. The pipeline pauses when waiting for customer action (document submission, verification response).

Human-in-the-loop checkpoints:

  • Compliance exceptions (Verification Agent flags, human reviews)
  • High-risk customer approval (enhanced due diligence requires human sign-off)
  • Custom provisioning (non-standard configurations routed to implementation team)
  • Stalled onboarding escalation (Communication Agent alerts CSM)

Integration Points

IntegrationPurposeAgent(s)
CRMCustomer records, account creation, contact managementIntake, Provisioning, Handoff
Identity verificationID validation, document authenticationVerification
Compliance/screeningKYC/AML, sanctions, PEP, credit checksVerification
Billing/subscriptionAccount setup, payment method, plan activationProvisioning
Identity providerSSO configuration, user provisioningProvisioning
Document managementStore/retrieve customer documents, track completenessIntake, Verification
Notification systemEmail, SMS, in-app messagingCommunication
Customer success platformHealth score, touchpoint scheduling, CSM assignmentHandoff
AnalyticsOnboarding cycle time, conversion, drop-off trackingHandoff

Key Metrics

MetricWhat it measures
Time to activationDays from application to first product login
Completion rate% of started onboardings that reach active status
Document cycle timeDays from first request to all documents received
Verification pass rate% of customers clearing verification on first attempt
Drop-off point analysisWhere in the pipeline customers abandon onboarding
30-day engagement% of onboarded customers actively using the product at day 30

Common Pitfalls

  • Treating onboarding as a single event. It's a pipeline with async waits. Design for the customer going quiet for 3 days mid-document-collection, then picking back up.
  • Blocking the entire pipeline on one check. Run independent verification checks in parallel. Don't wait for credit check results before starting sanctions screening.
  • Forgetting the handoff. Onboarding isn't done when the account is provisioned. It's done when the customer is successfully using the product. The Handoff Agent is the most commonly skipped and most impactful agent.
  • Over-automating compliance. Verification agents handle the volume. Humans handle the exceptions. Never auto-approve a flagged compliance check.
  • Channel inconsistency. If the customer started onboarding via email, don't switch to in-app notifications for document requests. Meet them where they are.

Getting a Full Blueprint

This pattern gives you the architecture. A full Agent Blueprint adds:

  • Business case with ROI projections based on your onboarding volume, current cycle time, and churn-from-slow-onboarding metrics
  • Implementation plan with phased rollout starting from a single customer segment through full onboarding automation
  • Deployment guide as an Agent Skill directory (12-14 files) that your coding agent can follow step-by-step
  • Platform-specific expert skills for your CRM and identity platform

Generate a full blueprint: install the agentblueprint MCP server (npx agentblueprint) or visit agentblueprint.ai.


Built by Agent Blueprint -- AI advisory for enterprise agent deployment.

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