π΄ CRITICAL: 0 offers made across all positions β pipeline blocked at PST/HM stages π‘ ACTION: 11 positions Not in Odoo β TA must create & match names (HC Plan Γ Odoo Γ TestCenter) π’ FOCUS: Recruitment priority = BD/Growth (5 seats) + Tech/Builder (3 seats) β all other execution roles PAUSED π€ AI IMPACT: 18 execution-only positions removed from plan β replaced by AI Agents β GP/FTE β 6-12% π NEW: AI Test Case added to screening flow β all BD/Tech/Builder candidates must pass AI assessment
β’ Old plan: 83 seats β GP/FTE = 1,040 (below target)
β’ New plan: 23 seats + 22 AI agents β GP/FTE = 1,168 (+12%)
β’ Savings: ~18 FTE salary cost avoided
β’ Net: GP numerator β while FTE denominator controlled
KEY HIGHLIGHTS & ACTION REQUIRED
π’ Q1 ON TRACK: GP/FTE forecast 201 vs target 200 (100%) β marginal buffer only π‘ RISK: Q1 onboard 15 / offboard 26 β net -11 FTE. Must accelerate BD hires to maintain GP growth π€ AI LEVER: 22 AI agents = +11 FTE equivalent capacity without adding to FTE denominator π΄ GATE: Annual target 1,150 β every non-revenue hire dilutes. Only BD/Tech/Builder approved
Current FTE (excl I/T)
162
Target: 167
Q1 GP
32,990M
VND
Q1 GP/FTE Forecast
201
Target: 200 (100%)
Annual GP/FTE Target
1,150
Cumulative target
Monthly FTE Flow
Month
Begin
Onboard
Resign
End
Net
Jan
173
4
12
165
-8
Feb
165
1
4
162
-3
Mar
162
3 (actual) + 7 (forecast)
3
166
+4
Apr
166
β
β
TBD
β
Quarterly GP/FTE Targets
Quarter
Target
Forecast
% vs Target
Q1
200
201
100%
Q2
250
β
β
Q3
300
β
β
Q4
400
β
β
Total
1,150
402
35%
Department Headcount Distribution
KEY HIGHLIGHTS & ACTION REQUIRED
π΄ 18 POSITIONS PAUSED: Opt Trainee Γ8, Opt Manager Γ8, CRO, BA/QC Trainee β replaced by AI agents π‘ 11 NOT IN ODOO: TA must create these positions in Odoo with CONSISTENT names matching HC Plan & TestCenter π’ ACTIVE: 14 positions in active recruitment β 5 BD/Growth + 3 Tech + 6 Other π NAME RULE: Position name in HC Plan = Odoo job title = TestCenter assessment name (no mismatches)
Seat
Job Title
Priority
Dept
Grade
Expected
Status
Category
Note
KEY HIGHLIGHTS & ACTION REQUIRED
π’ BD/GROWTH: 5 seats active β BD Executive Γ4 + BD Leader SME Γ1. Top sourcing priority. π΅ TECH/BUILDER: QC Engineer, Software Engineer, Pod Lead β require AI test case in screening π΄ ZERO OFFERS: Pipeline bottleneck at PST β HM. Escalation needed for HM review backlog. π€ AI TEST CASE: All BD/Tech/Builder candidates must pass AI assessment before HM interview
Pipeline by Position β All Active Seats
Position
Seats
Open
Focus
Total CVs
HR Screen
PST
HM
1st IV
2nd+ IV
Offer
AI Test
BD Executive
013, 014, 052, 053
4
BD/Growth
45
18
12
8
4
1
0
Required
BD Leader SME
054
1
BD/Growth
12
5
3
2
1
0
0
Required
Software Engineer
079
1
Tech
28
12
10
4
2
0
0
Required
QC Engineer
057
1
Tech
15
8
5
2
0
0
0
Required
Back-end Engineer
059 (Waiting)
0
Tech
52
25
20
5
2
0
0
Done
Pod Lead
072
1
Builder
18
8
5
3
1
0
0
Required
Media Product Executive
080
1
Builder
10
4
2
1
0
0
0
Required
Marketing Manager
006
1
Strategic
22
10
5
4
2
1
0
Required
Influencer Management Trainee
067-069
3
MCN Builder
98
40
24
22
3
0
0
Pending setup
Admin Officer
077
1
Operations
8
3
2
1
0
0
0
N/A
TOTAL
14
308
133
88
52
15
2
0
AI Test Case β Recruitment Flow Integration
New screening flow: CV Received β HR Screen β AI Test Case (NEW) β PST β HM Review β Interview β Offer AI Test covers: AI tool proficiency, prompt engineering basics, AI-augmented workflow design, data literacy Applies to: All BD, Tech, Builder, and Strategic roles. Score threshold: β₯ 60% to proceed. Platform: TestCenter.vn β position names MUST match Odoo & HC Plan exactly.
KEY HIGHLIGHTS & ACTION REQUIRED
π΄ 11 POSITIONS NOT IN ODOO: Cannot track pipeline. TA must create immediately. π΄ SLA BREACH: 138 CVs pending HR screening β 100% SLA breach π‘ PST BOTTLENECK: 116 candidates stuck at PST stage π NAME CONSISTENCY: HC Plan name β Odoo name for multiple positions β see table below
Position Name Consistency Check (HC Plan Γ Odoo Γ TestCenter)
Seat
HC Plan Name
Odoo Name
TestCenter Name
Status
Action
006
Marketing Manager
β Missing
β Missing
Not in Odoo
Create in Odoo + TestCenter
013-014
BD Executive
β Missing
β Missing
Not in Odoo
Create in Odoo + TestCenter
057
QC Engineer
β Missing
β Missing
Not in Odoo
Create in Odoo + TestCenter
067-069
Influencer Management Trainee
β Missing
β Missing
Not in Odoo
Create: use "Influencer Management Trainee"
072
Pod Lead
β Missing
β Missing
Not in Odoo
Create in Odoo + TestCenter
077
Admin Officer
β Missing
β Missing
Not in Odoo
Create as "Admin Officer" (not "Admin")
079
Software Engineer
β Missing
β Missing
Not in Odoo
Create in Odoo + TestCenter
080
Media Product Executive
β Missing
β Missing
Not in Odoo
Create in Odoo + TestCenter
Rule: HC Plan job title = Odoo job position name = TestCenter assessment title. Any mismatch blocks pipeline tracking & AI agent matching.
Other TA Alerts
Alert Type
Position
Severity
Details
SLA Breach
HR Screening Queue
Critical
138 CVs pending, 100% SLA breach
Pipeline Stuck
PST Stage
High
116 candidates stuck
No Offers
All Positions
High
0 offers made β needs HM decisions
AI Test Missing
Influencer Mgmt Trainee
Medium
AI test case not yet set up on TestCenter
HM Backlog
Multiple
High
45 candidates in HM stage waiting review
KEY HIGHLIGHTS & ACTION REQUIRED
π΄ 138 CVs PENDING: Average 5.4 working days β exceeds 5-day SLA π€ AI SOLUTION: CV-JD Screening Agent can auto-screen 80% of queue β deploy accelerated π‘ PRIORITY: Screen BD Executive & Software Engineer CVs first (revenue-generating roles)
SLA Working Days Calculation: Excludes weekends and VN holidays (Jan 1, Feb 14-22 TαΊΏt, Apr 6 Hung Kings, Apr 30 Liberation, May 1 Labor, Sep 2 National Day)
Screening Queue with SLA Status
Position
Queue Count
Avg Days Pending
SLA (5 WD)
Status
BD Executive
18
3.5
5
On Track
Software Engineer
12
4.2
5
On Track
Back-end Engineer
25
5.1
5
At Risk
Influencer Management Trainee
40
7.3
5
Breach
Marketing Manager
10
4.0
5
On Track
Other Active Positions
33
6.2
5
Breach
Total
138
5.4
5
Overall Breach
KEY HIGHLIGHTS & ACTION REQUIRED
π‘ OVER-RELIANCE: 71% CVs from Website β need to diversify for BD/Tech roles π΅ ACTION: Activate LinkedIn sourcing for BD Leader SME & Software Engineer π’ LEVERAGE: CareerViet (CV) as sourcing channel for operational roles
CV Sources Distribution
Sources Breakdown
Source
Count
% of Total
Website
284
71%
Others
20
5%
ADJ
15
4%
LinkedIn
13
3%
Unknown
5
1%
VNW
2
1%
Total
402
100%
KEY HIGHLIGHTS & ACTION REQUIRED
π΄ PRIORITY 1: Clear 138 CV screening backlog β target 30/day π‘ PRIORITY 2: Create 11 missing positions in Odoo with correct names π΅ PRIORITY 3: Set up AI test cases on TestCenter for BD/Tech/Builder positions
Weekly Tasks β Mon-Fri Breakdown
Task
Owner
Priority
Mon
Tue
Wed
Thu
Fri
HR Screening (BD/Tech first)
TA Lead
P0
20
22
25
28
15
Create positions in Odoo (11)
TA Lead
P0
5
6
β
β
β
Setup AI Test Cases
TA Lead + COO
P1
β
β
Design
Config
Test
PST Scheduling
TA Lead
P1
8
10
12
9
5
HM Review Follow-up
HRD
P1
β
5
β
5
β
Onboarding
HRBP Lead
P2
2
1
1
2
1
Reporting
TA Lead + HRD
P3
β
β
β
β
3
KEY HIGHLIGHTS & ACTION REQUIRED
π΄ GAP WIDENING: Plan 61 vs Actual 9 at Mar β gap of -52 (old plan). New plan: 23 active seats. π’ REVISED: With 18 positions paused, effective gap narrows to -5 seats (14 active - 9 filled) π TARGET: Fill remaining 14 seats by Q2 end β 5 BD + 3 Tech + 6 Other
Revised Plan vs Actual Hiring Trend
Hiring Gap Analysis (Revised Plan)
Monthly Breakdown (Revised Plan)
Month
Revised Plan Cumulative
Actual Onboard
Actual + Waiting
Gap
Jan
0
0
0
0
Feb
14
5
8
-6
Mar
20
5
9
-11
Apr
23
β
β
β
KEY HIGHLIGHTS & ACTION REQUIRED
π€ AI-FIRST SHIFT: Human FTE (5.5) + AI Agents (22) = 16.5 Effective FTE (3Γ multiplier) π’ DEPLOYED: 4 agents active (Dashboard, CV-JD, SLA Controller, Onboarding Checklist) π‘ BUILDING: 6 agents in Q2 pipeline (PST, Odoo, Source Analytics, JD Writer, AI Triage, SLA Alert) π΅ GOVERNANCE: Every agent has 1 human owner. Agents recommend, humans decide (HITL). Accuracy < 85% = retrain.
Old model (1.1.2026): Human-only + Helix org β capacity constrained, ops bottleneck New model (AI-First): Capacity = Human FTE + AI Agents β Operations Excellence via automation GP/FTE lever: Focus recruitment on BD/Growth (revenue-generating) + optimize back office & execution roles via Agents β GP/FTE ββ JD revision needed: All company JDs must reflect AI-first approach β every role = Human decision + Agent execution
Section A: HR Team Current State (as of Mar 2026)
Role
Person
Status
Reports To
Focus Area
AI Agent Support
HRD / Head of HR
VΓ΅ Thu HΓ
Active
CEO
Strategy, Governance, HC Plan, GP/FTE control
HC Dashboard Agent, People Analytics Agent
HRBP
In-role
Active
HRD
People Partner, Culture, Succession + Admin centralized (1-Apr)
Employee Pulse Agent, Exit Risk Predictor, Admin Service Desk Agent
Focus all recruitment on revenue-generating roles: β’ BD Executive Γ4 β direct GP contribution β’ BD Leader SME β client retention & upsell β’ Pod Lead β client retention β’ Growth roles β new business pipeline Impact: Every BD hire adds ~200M+ GP/year
GP/FTE Scenario Modeling β AI-First vs Human-Only
Scenario
FTE (excl I/T)
Agent FTE Eq.
Effective Capacity
GP (Annual, M VND)
GP/FTE
vs Target (1,150)
Baseline (Human-only, old model)
173
0
173
180,000
1,040
-9.6%
Current (Mar 2026)
162
4
166
180,000
1,111
-3.4%
AI-First Q2 (BD focus + 10 Agents)
167
10
177
195,000
1,168
+1.6%
AI-First Q4 (full agent + Growth hires)
170
22
192
210,000
1,235
+7.4%
Key insight: GP/FTE = GP Γ· Human FTE (excl I/T). Agents don't count as FTE but increase output capacity β GP numerator β while FTE denominator stays controlled
Section C: AI Agent Deployment Roadmap
NOW β Deployed (4 Agents)
Daily Recruitment Report Agent β
CV-JD Screening Agent π
HC Dashboard Agent β
Onboarding Checklist Agent β
NEXT β Q2 2026 (6 Agents)
PST Auto-pull Agent
SLA Alert + Controller Agent
Odoo Auto-update Agent
Source Analytics Agent
AI Triage Agent
JD Writer Agent
LATER β Q3-Q4 (12 Agents)
Employee Pulse, Exit Risk Predictor
Skill Gap Analyzer, Training Path
LMS Content, Payroll Automation
Contract Router, Invoice/Expense
Vendor Screening, Content Draft
Policy Q&A, GP/FTE Monitor
Section C2: Admin CoE OS Architecture
Process
SoR
Controller (AI)
Executor
Human Authority
Automation
P1: Service Desk
Ticketing SoR
AI Triage + SLA Rules
AI + Human
HRBP
Assisted β Agentic
P2: Contract/NDA
Contract Repo
AI Clause Extract + Risk
E-sign + AI drafts
Legal
Assisted
P3: Invoice/Expense
Finance System
AI Extract + Anomaly
RPA + Human
Finance
Assisted
P4: Procurement
Vendor Master
AI Quote + Screening
Workflow auto
Budget owner
Manual β Assisted
P5: On/Offboarding
HRIS / Asset
AI Checklist
IAM Auto + Human
IT/Security
Automated
P6: Meeting & Reporting
Notes / Tracker
AI Summarizer
Reminder Bot
Meeting owner
Assisted β Agentic
Section C3: Data System β Source of Record Map
Domain
SoR
Owner
Powers
Recruitment Pipeline
Odoo (recruitment)
TA
Dashboard funnel + SLA control
HC Plan / Approved Seats
Google Sheet (HC Plan Master)
HRD
Seat approval gate
FTE / GP
Google Sheet (HC for GP/FTE)
CFO + HRD
Hiring gate + KPI dashboard
Employee Master Data
HRIS / Odoo HR
HRBP
People analytics + compliance
Admin Tickets
Ticketing SoR
HRBP
SLA timer + escalation
JDs
Google Drive (JD Folder)
HRD
JD revision tracker
Reporting
Recruitment Dashboard v4
COO
All 10 tabs
PAP Record
Google Drive
HRBP
Performance + promotion gate
IC Plan
Google Drive
IC
IC campaign + content calendar
Section E: AI Orchestrator & AI Agents
AI ORCHESTRATOR = Signal Router (not decision maker)
Continuously reads staffing signals β triggers downstream HR actions β routes to human authority. Capacity = Human FTE + AI Agents. 5.5 Human FTE + 22 AI Agents = ~16.5 Effective FTE (3Γ multiplier).
Signal β Action Routing Table
Signal
Source
Trigger Condition
Action Routed To
HR Process Linked
Under-capacity
HC Plan + GP/FTE Monitor
FTE < target by > 5 AND approved seats open
TA: Accelerate recruitment
P1 (TA) β Activate positions
Over-capacity
HC Plan + GP/FTE Monitor
FTE > target by > 5 OR GP/FTE < floor
HRD: Freeze non-revenue hires
P1 (TA) β Pause pipeline
Successor gap
PAP Record + Org Chart
Key role: 0 successor OR readiness < 70%
HRBP: Succession plan
P2 (HRBP) β IDP. P3 (L&D) β Bootcamp
Retention risk
Exit Risk Predictor + Pulse
Exit risk score > 70%
HRBP: Stay interview
P2 β Retention. P6 (C&B) β Comp review
Skill gap / Bootcamp
PAP + Competency Matrix
Competency < threshold
L&D: Training program
P3 (L&D) β Training path
Promotion readiness
PAP + Performance Data
2+ A ratings + competency + tenure β₯ 12m
HRD: Promotion committee
P6 (C&B) β Comp adj
ESOP eligibility
PAP + Tenure + Performance
Meets ESOP criteria
HRD + CFO: ESOP nomination
P6 (C&B) β ESOP allocation
Probation failure
HRBP Probation Tracker
Review score < passing at 60d
HRBP: Intervention or exit
P2 β PIP/offboard. P1 β Re-hire
Agent underperf.
Agent Accuracy Dashboard
Accuracy < 85% OR SLA breach > 10%
COO/CTO: Retrain/decommission
Sec 9 (Tech) β Model retrain
Orchestrator Signal Flow
CAPACITY SIGNAL
GP/FTE Monitor + HC Plan β Under/Over-cap Under-cap β TA: Recruit (Growth/BD first) Over-cap β HRD: Freeze non-revenue hires
SUCCESSOR SIGNAL
PAP Record + Org Chart β Vacancy risk No successor β HRBP: Succession plan Ready β HRD: Promotion review trigger
Competency + PAP β Skill gap β Bootcamp Gap filled β Promotion β C&B comp adj ESOP eligible β CFO β Board β Retention lock
AI Governance: Every Agent has 1 human owner | Agents recommend, humans decide (HITL) | Accuracy reviewed weekly (< 85% = retrain) | No deploy without Process OS mapping | Agent decommission requires COO approval
Section F: Governance RACI
Decision Domain
R (Responsible)
A (Accountable)
C (Consulted)
I (Informed)
HC Plan approval & FTE control
HRD
CFO (ThΓ’n)
CEO (Long), COO
Dept Heads
Recruitment execution & SLA
TA
HRD
Dept Heads, HMs
COO
AI Agent deployment & roadmap
COO (Nhung)
CEO
HRD, CTO
All Depts
GP/FTE target & monitoring
CFO
CEO
COO, HRD
Board
Admin CoE operations (P1-P6)
HRBP
HRD
Finance, Legal, IT
All requesters
People partnership & culture
HRBP
HRD
CEO, Dept Heads
All employees
L&D programs & LMS
L&D (1-Apr)
HRD
CoE Leads
All employees
Internal comms & EB
IC
HRD
Marketing, CEO
All
Comp decisions
HRD
CFO
CEO
β
JD revision (AI-first)
HRD + COO
CEO
Dept Heads, CTO
All
Key principle: AI Agents = Executors only. Human authority for all decisions. One decision owner per domain.