AI Onboarding Assistant
Get new hires and customers productive fast with guided, personalized onboarding.
- Project range
- $5,000–12,000
- AWS running cost
- $45–230/mo
- Time to deploy
- 3–5 weeks
- Best-fit industries
- SaaS, Professional services
Executive summary
An assistant that walks each new employee or customer through a tailored onboarding path: it answers questions from your own documentation, assigns and tracks tasks, nudges on what's next, and escalates when someone stalls. It replaces static checklists and repetitive hand-holding with a guide that adapts to each person's role and progress.
Business problem
Onboarding is where value is won or lost, yet it's often a static PDF and a flurry of repeated questions. New hires wait on answers and ramp slowly; new customers hit friction and churn early. The knowledge exists but isn't delivered at the right moment to the right person.
Architecture
AWS services
Amazon API Gateway
Networking- — Onboarding chat and progress endpoint
- — Rate limiting
AWS Lambda
Compute- — Drive the personalized journey and task tracking
- — Trigger nudges and escalations
Amazon Bedrock
AI / ML- — Answer questions grounded in your documentation
- — Explain steps in plain language
Knowledge base
AI / ML- — Index policies, guides, and product docs
- — Ground answers with citations
Amazon DynamoDB
Database- — Per-person journey and task completion state
Amazon S3
Storage- — Onboarding materials and media
Amazon EventBridge
Messaging- — Schedule reminders and stall escalations
HRIS / messaging adapters
Integration- — Sync provisioning tasks and notify managers
Amazon CloudWatch
Observability- — Logs, metrics, and cost alarms
Data flow
- 1
A new hire or customer starts onboarding; the orchestrator builds a path from their role or plan.
- 2
Bedrock answers questions grounded in your knowledge base with citations, at the moment they're needed.
- 3
Task completion and journey state are tracked in DynamoDB; materials are served from S3.
- 4
EventBridge nudges on what's next and escalates to a manager when someone stalls.
- 5
Provisioning and status sync to the HRIS and messaging tools, keeping humans in the loop.
Security considerations
- Personal and account data encrypted at rest and in transit.
- Role-based access to materials and tasks.
- Least-privilege IAM; HRIS credentials in Secrets Manager.
- Answers cite source docs; escalation keeps humans accountable.
Cost considerations
- Bedrock Q&A is the main variable cost — cents per interaction.
- DynamoDB, S3, and EventBridge are inexpensive at rest.
- Reduced ramp time and support load is the primary payoff.
Scalability
- Serverless throughout; scales with hiring and customer growth.
- New roles and journeys are configuration, not code.
- Knowledge base updates propagate instantly to answers.
Deployment roadmap
Phase 1 — Journeys & content
Week 1- — Map role/customer journeys and gather docs
- — Provision AWS foundation and knowledge base
Phase 2 — Build & integrate
Weeks 2–4- — Build orchestrator, Q&A, and task tracking
- — Wire HRIS and messaging
Phase 3 — Pilot & tune
Week 5- — Pilot with a cohort
- — Tune journeys, nudges, and answer quality
Future enhancements
- Adaptive pacing based on progress and engagement.
- Skill checks and certifications within the journey.
- Multilingual onboarding support.
- Ramp-time and early-churn analytics into the executive dashboard.