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AI Onboarding Assistant

When a new hire joins, the agent looks at what roles peers in the same job family and team actually use, and proposes a complete starter package. Manager reviews and approves; access is provisioned by close of day one.

The challenge

New hires wait weeks for the right access

2-4 weeks

Typical time-to-fully-productive for a new SAP user.

back-and-forth

5-10 separate access tickets is normal.

guesswork

Manager guesses what the new hire will need, gets it wrong.

Onboarding access is mostly guesswork: nobody asks the team what they actually use. The agent does, and proposes a ready-to-go package based on real peer behaviour.

How the agent works

Human-in-the-loop, every step of the way

STEP 1
visibility

Observe

Agent reads new hire details: department, job code, location, manager.

STEP 2
psychology

Evaluate

Identifies peers (same job code in same team) and analyses their actually-used role package over the last 6 months.

STEP 3
bolt

Act or escalate

Drafts a recommendation: roles with high peer-usage = default-include; roles with mixed usage = manager decision.

STEP 4
verified

Human reviews

Manager reviews, removes/adds as needed. Submits. Provisioning happens automatically.

check_circle Every agent decision is explainable, reviewable and reversible.
In the platform

Where it shows up in smartGRC

New hire - role recommendation
smartWorkflow
New hire
K. Mazur
Position
Junior FI Accountant
Department
Finance . Warsaw
Start date
01 Jun 2026
auto_awesome AI ROLE PACKAGE Based on 18 peer profiles in Finance / Warsaw
SAP_FI_END_USER
17/18 peers have this . core FI display + posting
94%
Z_FI_REPORT_VIEWER
16/18 peers . local FI reporting
89%
SAP_GENERAL_USER
18/18 peers . MM display, calendar, communication
100%
SAP_FI_APPROVE
4/18 peers - only senior accountants. Skip for junior.
22%

Illustrative mockup from the smartWorkflow new-hire flow. Each suggested role shows match rate with peer profiles; users can accept or trim.

person_add

From peer patterns

Agent looks at successful peers in the same role and location. Recommends the roles those people actually use - not every role on paper.

speed

Day-1 productivity

New hires get a working role package on their first day. No follow-up tickets two weeks later when they hit missing permissions.

play_circle

See onboarding assistant

Open the interactive UX preview and explore the agent end-to-end.

Sample reasoning

How the agent thinks

Every decision is accompanied by readable reasoning so your team can audit and refine the agent's behavior over time.

PACKAGE READY new hire: m.kowalska
$ evaluate
new hire: magdalena.kowalska
role: FI Specialist · Warszawa
peers: 11 in same team
$ peer analysis
✓ Z_FI_AP_POSTING used by 11/11 peers
✓ Z_FI_AP_VIEWER used by 10/11
✓ Z_FI_GL_REPORT used by 11/11
? Z_FI_AR_POSTING used by 4/11 (optional)
$ decision
Package: 4 default roles + 1 optional · manager review
LIMITED DATA new hire: j.example
$ evaluate
new hire: jakub.example
role: ESG Analyst · Warszawa (new function)
peers: 0 in same team
$ peer analysis
⚠ no direct peers (new role)
↳ widening to "similar job codes"
↳ analyst-tier read-only roles found
? manager input strongly recommended
$ decision
Limited package · manager defines specifics
Expected impact

What this changes for your team

Estimates based on customer interviews and benchmarking from comparable agent deployments. Real numbers will vary.

Day 1
Time-to-productive

New hire has the right access on day one, not after 4 weeks of tickets.

-80%
Onboarding tickets

One reviewable package vs many separate requests.

Peer-based
Realistic scope

Access based on what people actually use, not what HR guessed they'd need.

Easy expand
Edge cases

Manager adds optional roles explicitly; agent learns for next hire.

Related agents

Other agents in smartWorkflow

Want to know when this ships?

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