Modules
Six modules.
One operating system.
Every department runs natively on StudAI BOS. No integrations. No data syncing. One unified data model with cross-module AI intelligence and governance enforced at every layer.
CRM
Close more deals with less manual effort
Business outcomes
- Pipeline visibility across the entire sales org — no rep hoards data in a personal spreadsheet.
- AI-qualified leads based on engagement signals, firmographics, and deal history — not gut feeling.
- Follow-up sequences that execute autonomously within approved outreach policies.
- Revenue forecasting grounded in real pipeline data, not optimistic rep estimates.
Example AI-executed workflows
AI scores an inbound lead, assigns to the best-fit rep, and drafts a personalized outreach sequence — approved via WhatsApp.
When a deal crosses the ₹10L threshold, AI auto-triggers a legal contract review and notifies the CFO.
Weekly pipeline health reports generated and shared to the Strategy module for OKR tracking.
Finance
Books that close themselves — with an audit trail
Business outcomes
- Month-end close in days, not weeks — AI prepares reconciliations, flags anomalies, and drafts journal entries.
- Expense reports that categorize, validate, and route themselves through the approval chain.
- Real-time cash flow visibility with AI-generated forecasts based on receivables, payables, and pipeline.
- Every financial transaction is a verifiable audit event — no manual log review needed.
Example AI-executed workflows
Employee submits expense → AI categorizes, checks policy limits, routes to manager → approved via WhatsApp → reimbursement queued.
AI detects a ₹3.2L invoice anomaly (duplicate vendor, amount deviation) → flags for CFO review before payment.
End-of-month: AI generates P&L variance analysis, reconciles bank feeds, and prepares draft financial statements for review.
HR
People operations without the paperwork
Business outcomes
- Hiring cycles shortened — AI screens resumes, schedules interviews, and drafts offer letters within policy.
- Leave and attendance managed automatically with compliance guardrails for labor law requirements.
- Payroll preparation that reconciles attendance, leave, and variable components without manual intervention.
- Employee lifecycle events (onboarding, transfers, exits) governed by approval workflows, not email threads.
Example AI-executed workflows
Hiring manager creates requisition → AI matches candidates from pipeline → shortlist approved by HR head → interviews scheduled automatically.
Employee requests leave → AI checks balance, team coverage, and policy → auto-approved or escalated based on rules.
AI flags an employee with 3 consecutive months of declining performance metrics → routes a development plan suggestion to the HR manager.
Operations
Supply chain and procurement on autopilot
Business outcomes
- Procurement cycles that move at the speed of business — AI generates POs, tracks approvals, and monitors delivery.
- Vendor performance scored continuously, not reviewed once a quarter when something breaks.
- Asset lifecycle managed from acquisition to depreciation to disposal — with full audit trail.
- Inventory levels optimized based on demand signals from CRM pipeline and historical consumption.
Example AI-executed workflows
Inventory drops below threshold → AI generates purchase order → routes to procurement manager → vendor notified after approval.
Vendor SLA breach detected → AI flags the vendor, calculates penalty, and routes remediation to ops lead.
Work order created for equipment maintenance → AI schedules based on technician availability and asset priority → completion logged with photos.
Legal
Contracts and compliance that manage themselves
Business outcomes
- Contract lifecycle managed end-to-end — from drafting to negotiation to renewal — with every version tracked.
- Compliance obligations monitored automatically, with AI flagging deadlines 30/60/90 days in advance.
- Legal case tracking with timeline visibility, cost allocation, and outcome probability scoring.
- IP portfolio managed with renewal reminders, jurisdiction tracking, and assignment records.
Example AI-executed workflows
Sales closes a deal → AI drafts the service agreement using approved templates → routes to legal for review → counter-party notified for signature.
Contract renewal due in 60 days → AI extracts key terms, flags unfavorable clauses, and routes renegotiation recommendation to legal head.
Regulatory change detected in DPDP Act → AI maps impact to existing data processing agreements → flags affected contracts for review.
Strategy
OKRs connected to execution, not just slides
Business outcomes
- OKRs that update themselves — key results pull data from CRM, Finance, HR, and Ops in real time.
- Risk registers that surface threats proactively, not reactively in the next board meeting.
- Initiative tracking with resource allocation, dependency mapping, and milestone visibility.
- Board-ready reports generated from live data — no analyst spending two weeks on a deck.
Example AI-executed workflows
Quarterly OKR review: AI generates progress reports for each key result by pulling actual metrics from operational modules.
AI detects that a strategic initiative is off-track (resource constraint in HR + budget overrun in Finance) → flags to COO with root cause analysis.
Board meeting preparation: AI compiles financial performance, pipeline health, headcount changes, and risk register into a structured briefing document.
Cross-module intelligence
The real power is in the connections
When your CRM, Finance, HR, Operations, Legal, and Strategy data live in one system, the AI sees patterns that siloed tools never could.
Sales → Finance
Deal closes in CRM → Invoice auto-generated in Finance → Revenue recognized → Cash flow forecast updated.
HR → Operations
New hire onboarded in HR → Asset provisioning triggered in Ops → Access permissions set → Manager notified.
Legal → Strategy
Contract obligation flagged in Legal → Risk register updated in Strategy → Board briefing auto-updated.
Finance → HR
Budget variance in Finance → Headcount freeze recommendation surfaced in HR → Hiring workflows paused pending approval.
One system for your entire company.
Start with the module you need most. Expand to all six when you're ready. The AI gets smarter with every module you activate.