Faculty lifecycle
Your faculty are the institution. Give them one record that never asks twice.
The Faculty Lifecycle connects recruitment, workload, teaching, research, reviews, promotion, and development on one governed faculty record, auto-populated from the SIS, LMS, and accreditation data you already run on Creatrix. Workload, teaching effectiveness, and audit evidence assemble themselves as work happens, with zero faculty data entry: something no standalone faculty system can do, because it doesn’t own the source.
The problem
Your most valuable asset runs on your most fragmented tools.
The faculty body is the institution’s strategic asset, and in most universities it is the least governed part of the operation. Every stage of a career is recorded somewhere, just never in the same place twice.
HOW FACULTY OPERATIONS WORK
One promotion case, taken apart.
The lifecycle further down shows the sequence. This is the vertical cut through the moment that matters most in it: what a promotion decision is made from, what it has to leave behind, and what it changes the second it is signed. Every consequential faculty decision, an appointment, a workload band, a non-renewal, has the same anatomy.
5 years in rank AND teaching evaluation ≥ 4.0 AND 8 verified publications AND CPD hours met
→ eligible, case opens for committee review
Take the same decision without one governed record and it is a dossier assembled by hand, a committee reading PDFs of unequal quality and a title changed in three systems on three different days. Two years later, nobody can prove which criteria were applied, or why this case was judged differently from the next one.
The lifecycle
One faculty record, from first application to emeritus.
Four phases. Eight stages, ending in exit. One shared data model, so a click on any stage shows what it feeds downstream.
Capabilities in this lifecycle
Four products. One faculty record.
Each is a real product, with its own page. Each was built to run as part of one lifecycle, not as a standalone tool you would later try to connect.
Search, hiring, onboarding, adjunct & visiting faculty, contracts, exit. The first and last touch of the lifecycle, on the same record.
The faculty record itself: portfolio & CV, research output auto-claimed from ORCID, Scopus & Crossref, leave & life events, letters. Every other product reads from here.
Workload, course allocation, teaching feedback, observation. Equity made visible and fixable before the term begins.
Annual review, promotion readiness, RPT, external reviewer, committee, development. One transparent case, on one record.
Intelligence in this lifecycle
Intelligence that's earned, not promised.
Data before models. Governance before automation. Assistance before autonomy.
Faculty decisions affect careers, so AI assists and humans decide. Every suggestion is explainable, logged, and policy-governed. The structure is the lifecycle itself; the model rides on top.
Dossier auto-assembly
Pulls publications, teaching feedback, and service from the record into a draft promotion dossier. The faculty member reviews it before it proceeds: drafted by machine, owned by the candidate.
Promotion-readiness scoring
Continuous, transparent, gap-specific. Shows what's there, what's missing, and against which criterion, so faculty know where they stand without waiting for the cycle.
Retention-risk prediction
Early signals from real activity (workload skew, course load, mentorship gaps, engagement drift) surfaced to the HoD and HR before the resignation, not after.
Reviewer matching with conflict screening
External reviewer suggestions filtered for institutional, co-authorship and supervisory conflicts. The committee picks; the model narrows the field.
Standards & accreditation
Audit-ready, not audit-panicked.
Faculty data sits at the core of most accreditation standards: qualifications, workload, research output, development hours, student feedback. When the lifecycle is governed continuously, that evidence is already assembled when the audit arrives.
Built for every role
One lifecycle. Five views of the same record.
One institution-wide view of faculty strength, readiness, and risk.
Workload equity, promotion pipeline, and retention signals for the department.
Coordinate cases, contracts, and reviews without chasing five systems.
One record that follows you: less re-keying, clearer status.
Faculty evidence as a by-product of daily operations.
How it fits the Operating System
Faculty operations don't sit in a silo.
The faculty record feeds the Quality & Accreditation lifecycle, the Platform & Data/AI intelligence layer, and the institution's own analytics, because they all share one governed model.
Trusted by leading universities like Oxford, NUS and Otago, across the globe.
Creatrix’s Faculty Management module gave us configurable workflow tools to calculate teaching stints, with a bird’s-eye view of teaching points by course, by faculty, by programme and by academic area — a tool that lets us document teaching plans with proper reporting and data security.
The ability of Creatrix to mind-map the curriculum across multiple layers — learning outcomes, assessments, professional competency standards, entrustable professional activities and graduate attributes — is excellent.
Go deeper
From the Creatrix library.
Blogs, whitepapers and case studies for the people who actually run faculty operations: deans, faculty affairs, IQAC.
Frequently asked
Plain answers about faculty operations.
What is faculty lifecycle management software?
Faculty lifecycle management software governs how a university recruits, onboards, operates, develops, evaluates, promotes and retains its faculty on one shared data model.
In Creatrix Campus by Anubavam, the Faculty Lifecycle is one of the institutional lifecycles in the Academic Operating System. Every appointment, course, publication, review and decision lives in one faculty record.
How is this different from an HR system or a single faculty tool?
An HR system manages employment: contracts, payroll, leave. A single faculty tool covers one part of the academic side: workload, or reviews, or recruitment.
The Faculty Lifecycle covers the academic operation of faculty end-to-end on one record: recruitment, appointment, workload, teaching, research, development, review, promotion, retention and exit. It governs the academic decisions HR is not built to make.
Does it handle promotion and tenure (RPT)?
Yes. The lifecycle treats RPT as a structured case on the faculty record. Publications, teaching feedback, service and external letters are assembled into a dossier the faculty member reviews before it proceeds.
Committee workflow, external reviewer management and conflict screening sit on the same record, with a continuous audit trail.
How does it support NAAC, NBA and AACSB faculty requirements?
Faculty data sits at the core of most accreditation standards: qualifications, workload, research output, development hours and student feedback. Because that evidence is captured the moment it happens, on one faculty record, accreditation criteria for NAAC, NBA, NIRF, AACSB, ABET and QS / THE are mapped as configuration, not redevelopment.
When a regulator changes a metric, you change a rule, not the release.
Does it manage adjunct and visiting faculty?
Yes. Adjunct, visiting, contract and emeritus faculty are first-class records with their own appointment terms, workload and contribution data. They flow through the same lifecycle as full-time faculty, with role-aware access and governance.
How does AI help with dossiers and promotion readiness?
Four named capabilities run inside the lifecycle: dossier auto-assembly pulls publications, teaching feedback and service from the record, and the faculty member reviews it before it proceeds. Promotion-readiness scoring is continuous, transparent and gap-specific. Retention-risk prediction surfaces early signals to HoD and HR. Reviewer matching screens conflicts of interest.
Faculty decisions affect careers, so AI assists and humans decide. Every suggestion is explainable, logged and policy-governed.
How does it connect to our existing HRMS and SIS?
The faculty record is the canonical academic record of a faculty member. It federates with HRMS for employment data and the SIS for teaching assignments. Integration runs as events through the platform's integration layer, not nightly batches.
The Faculty Lifecycle is not a replacement for payroll; it is the academic operating layer above it.
GET STARTED
Govern the people who define the institution.
Tell us how faculty operations work today, and where they break.