01
Process Mapping Customer Onboarding · Professional Services
Account Setup
Compliance & Verification
Customer
Onboarding Mgr
Systems
Compliance
Start
New Client Sign-up
5 sources
Decision
Onboarding Eligibility Check
3 sources
Step
Account Creation & Setup
4 sources
Step
Manual Data Entry: CRM → Portal
5 sources
Step
Document Collection & Upload
4 sources
System
CRM Record Created
4 sources
System
Identity Verification Check
5 sources
Step
AML / KYC Screening
5 sources
Step
Risk Score Calculation
4 sources
Decision
Risk Threshold Review
5 sources
7 AI opportunities  detected across this workflow
02
Opportunity Scoring Opportunities scored by value, effort and AI readiness
AI Opportunities
Automation and augmentation opportunities identified across the process.
0
Total
0
Quick Wins
0
Strategic
Opportunity
Category
Impact
Effort
Score ↓
Opportunity Map
size = priority score
← High Effort · Low Effort → Impact ↑ QUICK WINS STRATEGIC BETS DEFER
Quick Win — high impact, low effort
Strategic — high impact, high effort
Backlog — lower priority
03
Prototype Generation From context enrichment to a production-ready build spec

Context Enrichment

Mark categories complete for a sharper spec. You can generate at any time — Atlas notes what's missing and flags lower-confidence sections.

Method 1 — Incremental
Method 2 — Transformational

Prototype mode — low fidelity

Integration specs use placeholder endpoints. Validate every contract before writing code.

Success metrics won't reflect your data distribution — add 50+ labelled examples for higher confidence.

⚙️
System Integrations
APIs, endpoints and auth methods for all connected systems
🗄
Data Objects
Field definitions, PII annotations, required vs optional objects
✏️
Eval Data
Historical examples with labelled outcomes for grounding metrics
🛡
Constraints
Regulatory requirements, SLAs, audit trail mandates
0 of 4 complete · low fidelity

Generating your spec…

Atlas is synthesising the process graph, selected method and enrichment inputs into a structured build specification.

Reading process topology from context graph…
Identifying automation boundary (in-scope steps)…
Mapping CRM and onboarding portal integration requirements…
Inferring document extraction and classification patterns…
Generating edge cases from compliance branch conditions…
Applying regulatory constraints (AML / KYC / GDPR)…
Drafting success metrics and eval criteria…
Assembling build specification document…
Sections
9 confirmed 6 inferred 1 requires input
Confirmed
§1 Executive Summary
We are building an AI-augmented document processing and identity verification agent for the compliance stage of the customer onboarding process. The agent automatically classifies uploaded documents, extracts structured data, runs AML/KYC screening, and flags high-risk or incomplete submissions for human review — with a Compliance Officer retaining final approval. Expected outcome: reduction of up to 3 business days in onboarding cycle time, recovery of approximately 5 FTE hours per week, and annual cost savings of £14,000–£19,500.
Confirmed
§2 Problem Statement
Onboarding cycle times of 5–8 business days. Manual document review and identity checks block account activation. Each case requires ~2.5 hours of compliance staff time for classification, data entry and screening. Delays increase client drop-off and deferred revenue — combined annual cost range: £14,000–£19,500 per year.
Process Mapping
Opportunity Scoring
Prototype Generation