Team Management & Automated User Life-Cycle

What it is

Team management at Jeeva AI is the union of human-resources process, identity governance and least-privilege engineering. From the first touch in recruitment through the final off-boarding click, a single, auditable pipeline orchestrates background checks, role assignment, credential issuance, privilege reviews and data-retention clocks. Because the entire user life-cycle is described in code—backed by directory hooks, workflow automations and access-control APIs—changes in employment status ripple through infrastructure far faster than manual tickets ever could.

Why it matters

Sales, support and engineering organisations are fluid: people switch squads, change territories, take parental leave, join as contractors or exit for new adventures. If those movements lag behind in access controls, the organisation accumulates “credential debt” that adversaries love to exploit. Conversely, if provisioning new hires takes days, velocity suffers and shadow IT blooms. A code-driven life-cycle solves both problems: privileges materialise within minutes of HR approval and evaporate just as quickly when the directory flips state, satisfying auditors while keeping teams productive.

How it works in practice

Recruitment to day-one access

The hiring funnel begins with a requisition logged in the applicant-tracking system. Once a candidate signs an offer, an automated webhook triggers identity provisioning: the directory creates an account, the email platform issues a mailbox, the password manager generates an initial credential set. Simultaneously, a background-check vendor—vetted through the third-party-risk programme—verifies employment history, education and sanction lists. Only after the background report posts a green flag does the directory automation tag the account as “active,” enabling login across SSO-protected services. This sequence eliminates the perennial gap between IT tickets and HR spreadsheets.

Attribute-driven roles

Every employee belongs to at least two directory groups: function (Engineering, Sales, Finance) and cost centre. These groups map to role attributes that the platform’s policy engine consumes. An engineer in the “Growth-Feature” pod obtains CI permissions, read-only production log access and a sandbox KMS key. A seller tagged “US-Mid-Market” receives outreach quotas, CRM field visibility and territory-filtered analytics. RevOps edits the YAML-based mapping repository whenever territories shift; a CI pipeline tests, signs and applies the change, ensuring the new scopes propagate without breaking existing sessions.

Contractor controls

Short-term or vendor staff are onboarded through the same directory, but with a “contract-expiry” attribute set to the engagement end date. A nightly Lambda checks the attribute and disables accounts that expire within the next twenty-four hours, sending reminders to project owners a week in advance. Because contractor devices enroll in the mobile-device-management service, encryption, patch levels and remote-wipe capabilities match those of full-time staff, honoring the endpoint-asset standard.

Privilege escalation and peer review

Occasional tasks require temporary elevation—a database migration, a production incident, a finance close. Engineers request a higher role by opening a signed GitHub pull-request that adds a time-boxed tag to their directory entry. Two reviewers—one technical, one from compliance—must approve; the CI job merges the tag with an automatic expiry window. All escalations post to a monitored Slack channel and re-enter the immutable audit log, providing a tamper-evident trail for quarterly access reviews mandated by the access-control standard.

Quarterly certification

Every three months, the compliance engine generates a manifest of active accounts, their roles, last-login times and linked assets. Managers certify or revoke access inside an interactive dashboard; decisions feed back to the directory, and deltas land in the audit log. Certificates, reviewer comments and timestamps are bundled into an artefact that external auditors can query during SOC 2 fieldwork without fishing through disparate systems.

Off-boarding and data minimisation

When HR marks a departure in the people-ops platform, the directory flips the account to “disabled.” An event bus fires: sessions invalidate, MFA tokens revoke, infrastructure roles detach, email auto-responders activate, and asset-return workflows spin up. For roles that touched personal data—sales reps, support agents—a data-subject-erasure job anonymises stale notes after the retention threshold defined in the data-classification standard. Because these rules live in code, the organisation meets GDPR timelines automatically instead of relying on manual ticket queues.

Continuous monitoring & drift detection

A daemon scans the directory every hour, comparing actual roles, group memberships and MFA status with expected baselines. Drift—an orphaned admin token, a lingering contractor account—raises a sev-two alert routed to security engineering. Weekly summary reports quantify drift and remediation lag, feeding the risk-assessment programme and guiding process tweaks.

Outcome

The result is a user-life-cycle that is as automated and testable as any software component. On-boarding is measured in minutes, not days; off-boarding is definitive rather than best-effort; privilege scopes reflect real-time business context; and auditors can trace every role grant, revocation and escalation without dredging through email chains. By embedding identity governance into the same pipelines that ship code, Jeeva AI turns what is often a bureaucratic bottleneck into a competitive, secure advantage.