Section 01

The Mandate. The Intelligence. The Opportunity.

Hadaf's mandate is to serve three very different stakeholders. Hadaf's asset is 25 years of accumulated intelligence. The opportunity is to connect the two — deliberately, systematically, at scale.

The mandate
Who Hadaf serves

Three stakeholders. Very different needs.

Citizens
A meaningful career path, not just a job
Often unclear needs
Companies
Right talent for right requirements, at the right time
Mixed needs
Government
National outcomes, workforce readiness, Vision 2030 delivery
Clear outcomes

Clear needs are easy. Unclear needs are where intelligence matters.

The intelligence
What Hadaf holds

25 years, already earned.

Knowledge assets
What the organization knows
Citizen recordsLabor market dataEmployer dataTraining outcomesPolicies & regulationsHistorical decisionsReportsDocuments
Expertise assets
How the organization makes decisions
SME expertiseBusiness rulesOperating proceduresAssessment frameworksEligibility criteriaIntervention methodologiesBest practices

The intelligence exists. What's missing is the activation layer.

THE LEVERS

Two levers serve all three stakeholders.

Every stakeholder need — clear or unclear, immediate or future — is served through one of two mechanisms. Both are core to Hadaf's mandate. Both compound with intelligence.

Placement

FOR IMMEDIATE DEMAND

Match the right candidate to the right role, today. Subsidize the transition. Track the placement. Sustain the employment. This is how Hadaf serves the immediate demand across all three stakeholders.

Upskilling & Training

FOR SUSTAINABLE FUTURE

Build the skills the Kingdom will need in five years. Design pathways around emerging demand. Prepare citizens for careers that don't yet exist at scale. This is how Hadaf builds the workforce Vision 2030 requires.

Placement today. Upskilling for tomorrow. Both — sharpened by 25 years of intelligence.

The opportunity

Transform 25 years of institutional knowledge and expertise into an AI Intelligence Hub — a reusable layer that powers agentic workflows across every stakeholder need, clear or unclear.

Section 02

The AI Intelligence Hub.

Institutional assets become reusable layers. Layers power agents. Agents work with people. Every cycle gets smarter.

Visual 1 of 2 · The Hub Architecture
↻ Continuous learning loop
Stakeholder outcomes
Every stakeholder, better served.
Citizens
Personalized career pathways
Proactive career guidance
Barrier support coordination
Companies
Refined talent shortlists
Proactive quota advisory
Retention support
Government
Forward-looking labor intelligence
Program ROI attribution
Policy impact simulation
Serves both levers
Every outcome above maps to one — often both — of Hadaf's two levers.
Placement
For immediate demand

Matching, subsidizing, sustaining. Serving demand today.

Feeds both ways
Upskilling
For future readiness

Skills, pathways, capacity. Building tomorrow's workforce.

Today's placements generate the insights that shape tomorrow's Upskilling. Tomorrow's Upskilling produces the candidates for tomorrow's Placements. The Hub serves both, and connects them.

delivers to
Agentic workflow layer
Two agent types. Different purposes. Same Hub.
Experience agents
Interface with stakeholders
Simplify journeys · Understand needs · Deliver outcomes
Requirement Collection Agent
Understands company needs
Interview & Refining Agent
Enriches candidate profiles
Career Guidance Agent
Personalizes citizen pathways
Execution agents
Reason, match, monitor
Behind the scenes · No stakeholder-facing interface
Skills Matching Agent
Ranks candidate-role fit
Compliance Agent
Monitors Nitaqat and subsidy
Retention Risk Agent
Flags churn pre-subsidy end
Illustrative · Real agent portfolio defined in discovery
activates
Prediction & reasoning
The Hub predicts, reasons, recommends
Demand forecastingSkills gap projectionCandidate-role fitRetention predictionProgram effectiveness attribution
powers
Institutional foundation
25 years of accumulated knowledge and expertise
Knowledge layer
Citizen recordsLabor marketEmployer dataTraining outcomesPoliciesHistorical decisions
Expertise layer
SME expertiseBusiness rulesAssessment frameworksEligibility criteriaIntervention methodologiesBest practices
External data
Feeds the foundation
←
Company financials & hiring plans
Sector performance & growth
Macro-economic indicators
Nitaqat regulatory pipeline
Educational pipeline data

The foundation is what Hadaf owns. External signals are what keep it current.

Visual 2 of 2 · How agents and people work together

Agents recommend. People decide. The system learns.

Agent
Analyzes, matches, recommends
Screens 1000s of records in seconds
Applies 25 years of institutional patterns
Proposes ranked recommendations with reasoning
Where machines excel
Recommendation Inbox
◆ →
◆ →
← ✓
Decision Response
Human-in-the-loop
Reviews, decides, guides
Validates agent recommendations
Applies contextual judgment
Guides system learning through overrides
Where judgment matters
Three learning loops

The Hub doesn't just serve. It evolves.

01
The Hub gets smarter with every project
What learns:
Frameworks. Data. Prediction models.
Written back to:
Enriches the Institutional Foundation. Sharpens the Prediction Layer.
02
Every agent improves with every interaction
What learns:
The Interview Agent notices accent confusion. The Matching Agent learns from officer overrides.
Written back to:
Agent behavior refined. New agent capabilities identified.
03
The Hadaf team sees what's needed next
What learns:
Where the Hub falls short. What new capabilities stakeholders want.
Written back to:
Feature roadmap. New agents commissioned. Strategic direction shaped by Hadaf.

The Hub serves. And Hadaf drives its evolution.

The operating backbone

The AI Intelligence Hub becomes Hadaf's digital operating backbone — activating and enriching 25 years of institutional intelligence across both levers, for every stakeholder.

Section 03

Traditional hiring ends. Agentic hiring compounds.

In a traditional hiring flow, if a candidate doesn't match a role, the process ends — and every insight collected during screening and interviewing is lost. Agentic hiring inverts this. Every candidate interaction enriches the institutional foundation. A missed match for Company A becomes a strong match for Company B — with a richer profile than before.

One lever, walked end-to-end

Placement is the lever with the clearest workflow to demonstrate — every module, every agent, every human checkpoint. The same Hub architecture serves the Upskilling lever with different agents, walked in a follow-up conversation.

The contrast

Two ways to run a hiring workflow.

The traditional flowLinear. Rigid. Ends at rejection.
Requirement filed
↓
Candidates sourced manually
↓
Interview conducted · Notes taken
↓
Match decision
↙ Match
No match ↘
Placement made
Exit · Positive
Rejection sentInterview data discarded · Profile never updated
Dead-end · Data lost
90% of the intelligence generated during recruitment is thrown away when a candidate is rejected. Every future match starts from zero.
The agentic flowBranching. Compounding. Every path enriches the Hub.
Requirement captured · OR proactive signal detected
→ Foundation enrichedmarket context, quota impact
↓
Candidates matched · Skills + culture + retention
→ Foundation enrichedmatch patterns learned
↓
Voice pre-screening + interview conducted
→ Foundation enrichedsoft skills, motivation captured
↓
Human officer reviews in Decision Inbox
→ Foundation enrichedoverride patterns train agents
↙ Match
No match ↘
Placement activated · Onboarding begins
Exit · Sustained placement
↺ Placement outcome tracked · Feeds learning
Profile enriched · Re-routed to better-fit roles
Loops back · Compounding
↺ Re-enters matching for other open roles
Every interaction — even for candidates not matched — enriches the Institutional Foundation. Nothing is thrown away. Every hiring cycle starts smarter than the last.

The traditional flow ends. The agentic flow loops. That difference — repeated across millions of interactions — is how institutional intelligence compounds.

The modules · Already built

Seven modules. One connected workflow.

Every module below is a live capability in Lyzr's HR Agentic OS. Together they run the agentic flow shown above — with humans in the loop where judgment matters.

01
HRDF AgenticOS · Home

One home for every agent journey. Placement Command Center, Nitaqat Radar, Match Workbench, Decision Desk, Workforce Planning, Compliance Audit — all accessible from one landing view, with live insights and actions surfaced immediately.

agenthuman
02
Placement Command Center

Every employer seat, every shortlist, every decision on your desk. Active employers, open positions, shortlists ready for review, at-risk employers — surfaced with the alerts and actions each one needs today.

agenthuman
03
Nitaqat Radar

Every employer's live Saudization position. Who's slipping, who's one hire away from the next band. Radar briefs, account plans, and placement queues — generated by agents, ready for the officer to act on.

agent
04
Match Workbench

Explainable candidate ranking for every shortlist. Every score — skills match, qualifications, location, salary alignment, availability — is transparent. Officers see why each candidate ranks where they do. No black box.

agent
05
Decision Desk

Approve, return, or reject placements with full context. Fit scores, subsidy commitments, band impact, previous decision history — all visible. Every approval is logged. Every override trains the agents.

human
06
Decision Inbox

Bias detection pipeline with human-in-the-loop approval. Every high-stakes decision passes through automated bias checks before reaching an officer. Flagged decisions receive extra review. Audit trail immutable.

agenthuman
07
HRDF IQ · The Compounding Brain

Institutional knowledge that grows with every decision. Every policy update, audit, and placement outcome is woven into a persistent wiki of cross-referenced knowledge — replacing query-time search with compiled intelligence. Ask the agent a question. It reads the relevant pages, improves them, and creates new ones when nothing fits.

agenthuman
The Hub difference

The modules are ready. What Hadaf brings is the institutional knowledge that makes them uniquely yours.

Section 04

Every build funds the next.

The AI Intelligence Hub is not built in one shot. It is built through a disciplined portfolio — measuring each candidate use case, then prioritizing across strategic value, human judgment, and shared capability. Every win funds the next.

01
Step 01 · Scoring

Every workflow measured on quantitative criteria

Scoring works best when it is:
Quantitative — based on measurable data (volume, cycle time, cost, data availability)
Granular — evaluated at individual workflow level, not aggregate
Consistent — same criteria applied across every candidate use case

Scoring produces a rank order. But rank alone doesn't reveal what to build first — or where to reuse what you've already built.

Illustrative scoring worksheet from a prior engagement.
02
Step 02 · 2×2 Prioritization

From scores to strategy

The 2×2 layer adds what scoring alone can't:
Strategic judgment — political context, stakeholder readiness, timing considerations
Portfolio view — how each workflow relates to others across the pipeline
Capability visibility — which workflows share underlying requirements and can be built once
Deploy now

High value · High feasibility

Invest & build

High value · Lower feasibility

Quick wins

Lower value · High feasibility

Investigate

Lower value · Lower feasibility

Illustrative wave structure from a prior engagement.
Within step 02 · Capability clustering

One capability, many workflows

The 2×2 does one more thing scoring can't — it surfaces workflows that share underlying capability requirements. Same data sources. Same integration patterns. Same agent architectures. Build the capability once. Reuse it across every workflow that needs it. That's how the portfolio stops reinventing the wheel.

Hiring intelligence
Retention monitoring
Program effectiveness
→→→
Shared capability
Finance data integration

Built once. Powers three workflows. Every future workflow needing finance data reuses it.

Without clustering, three workflows require three separate integrations — three teams, three timelines, three budgets. With clustering, one capability serves all three. And when the fourth workflow arrives, the same capability serves it too — at zero additional integration cost.

The compounding playbook

Small wins fund big builds. Shared capabilities compound. Momentum compounds into transformation.

Section 05

Government-grade by design.

For a government partner, five things are non-negotiable: control of the stack, security at every layer, scale for national volumes, responsible AI at every decision, and full auditability. Everything else is a nice-to-have.

The five pillars

Non-negotiables for a government partner.

◇
Sovereignty

Any LLM. Any cloud. Any framework. Hadaf owns and controls the stack. No lock-in, ever.

◈
Security

SOC 2 Type II · ISO 27001 · PDPL-compliant · Data residency in KSA · Encrypted at rest and in transit · Zero data leaves the Hadaf boundary.

◉
Scalability

Proven at millions of transactions · Multi-tenancy · Horizontal scaling · High-availability SLA · Ready for national scale.

◎
Responsible AI

Bias monitoring · Fairness controls · Explainability · Human oversight at every high-stakes decision · Autonomy ladder from Assist to Autonomous.

◌
Auditability

Every agent decision logged · Immutable audit trails · Role-based access · Compliance reporting · Agent CI/CD with full traceability.

Platform architecture

Sovereign full-stack agent platform

What's included

The Lyzr partnership — one platform, three enablers.

The Agentic Workbench powers the engine. The three enablers accelerate the journey on top of it.

◇
Consulting

Journey planning · Use case prioritization · Value realization · MBR/QBR frameworks

◈
Forward Deployed Engineers

Applied engineers embedded with Hadaf · Accelerate first builds · Transfer capability to Hadaf's team

◉
Training + Knowledge Repository

Enablement for Hadaf independence · Reusable modules · Faster future builds

◆
The foundation · Core platform
Agentic Workbench

The platform that powers everything above. Build, run, govern, and improve agents in one place. The three enablers accelerate delivery on top of this foundation. Without the Workbench, there is no engine to enable.

The partnership promise

Lyzr is not a vendor Hadaf depends on. Lyzr is the enabler that makes Hadaf independent.

Section 06

Proven where trust must be earned.

Government agencies. Global consulting firms. Fortune 500 enterprises. Lyzr has already been chosen where the stakes are highest and the scrutiny is deepest.

Chosen by peers

Trusted by the environments Hadaf operates in.

Accenture logo
WTW logo
Publicis Groupe logo
Crown Castle logo
KPMG logo
Prophet logo
Global consulting · Fortune 500 · Regulated enterprises
Backed by

Strategic investors betting on Lyzr's agentic future.

Accenture Ventures logo
Invested twice. Conviction, doubled.
Rocketship.vc logo
Firstsource logo
Strategic investors · Capital and conviction
Recognized by the firms that shape the market

Awards and analyst recognition.

CB Insights logo
CB Insights · 2026
Top AI 100
Ranked #6

By Mosaic Score. Top 6% of the cohort.

Gartner logo
Gartner · 2026
Hype Cycle for Agentic AI
Featured Mention

Named vendor in the emerging agentic AI category.

HFS Research logo
HFS Horizons · 2026
Enterprise Innovator
Horizon 2

Agentic Technology category.

Everest Group logo
Everest PEAK Matrix® · 2026
Agentic AI Products
Major Contender

Recognized in the leading independent evaluation.

Independent analyst validation · 2026
Certified · Secure · Ready

The credentials that matter.

SOC 2 Type II
Security & availability
ISO 27001
Information security
GDPR + PDPL
Data protection
HIPAA-ready
Healthcare-grade privacy
SOC 2 Type II + ISO 27701
Privacy management
The difference

Why partners choose Lyzr over building internally.

Speed to production

WTW went live faster on Lyzr than on internal build attempts. Where compliance is real, speed depends on the platform.

Compounding economics

ShadowLM captures approved decisions, fine-tunes small models on them, and reduces inference cost over time — up to 90%. Internal builds get more expensive; Lyzr gets cheaper.

Governance built-in

Audit trails, autonomy ladder, hallucination management, in-path guardrails. Building this internally is 5-6 months of engineering before writing a single workflow.

The partnership

Hadaf brings 25 years of institutional knowledge and expertise. Lyzr brings the platform to activate it. Together — an AI Intelligence Hub that serves every stakeholder, every day, sharper every cycle.

Section 07

Two ways to engage. One tight loop from strategy to production.

Both plans run on the same consumption model. Both include a dedicated engineering team embedded with Hadaf. Alongside them, we propose an on-site reimagination consultant for the first 90 days — so the business case and the working agents are built in one tight loop.

Core
$250,000
Per year

Best when the initial scope is clear and you want a defined annual envelope.

What's included
  • ■50 billion tokens for the year, on the consumption model
  • ■2 Forward Deployed Engineers — dedicated, remote from India
  • ■Full platform, every feature — no separate charges
  • ■Sovereign deployment — any cloud or fully on-premise
  • ■Quarterly optimization review — every 90 days
  • ■Weekly progress dashboard — dedicated project manager

Best when initial scope is clear and a defined envelope is preferred.

Recommended
Unlimited Year One
$500,000
Per year

Best when you want to move fast and explore widely before fixing an envelope.

What's included
  • ✓Unlimited tokens across Year One — build and explore freely
  • ✓3 Forward Deployed Engineers — 1 on-site at Hadaf office + 2 remote from India
  • ✓On-site reimagination consultant — first 90 days, working directly with Hadaf leadership
  • ■Full platform, every feature — no separate charges
  • ■Sovereign deployment — any cloud or fully on-premise
  • ■Quarterly optimization review — every 90 days
  • ■Weekly progress dashboard — dedicated project manager
Included in every plan

Everything you need to run in production.

◈
Sovereign deployment

Any cloud (AWS, Azure, Google, Alibaba) or fully on-premise via Kubernetes. Inside Hadaf's perimeter. Live in 24 hours on AWS, 1–2 weeks for other environments.

◉
Embedded engineers

FDEs build and productionize agents in parallel with Hadaf's team, while training them to full independence. Option to place one on-site in Saudi.

◇
Full cost control

Cap consumption at the organization level today through sub-organizations. User-level controls launching shortly.

◎
Quarterly optimization

Every 90 days we review usage and architecture against best practice. Inefficiencies caught early. Return protected.

●
Weekly visibility

A weekly progress dashboard and a dedicated project manager keep the whole team informed.

The differentiator · Unlimited Year One only

90 days on-site. Business case and working agents, in one tight loop.

What the consultant does:
  • —Reimagines processes rather than replicating them — systems thinking, not design thinking
  • —Discovers and prioritizes use cases, maps commonalities that can be built once and reused
  • —Designs change management that makes adoption stick
  • —Works in a tight loop with the FDEs — as the consultant frames the business case, engineers ship the evidence
What you have at day 90:
  • ◆Substantial, quantified body of proof
  • ◆Live agents alongside a clear business case
  • ◆Ready to put in front of the CEO and Chief Strategy Officer
  • ◆Quantifiable return inside the first 90 days

This answers the two things that matter most to Hadaf — quantifiable return inside 90 days, and a deliberate approach to the human and change-management side.

From institutional knowledge to institutional intelligence

Prepared for Hadaf leadership · Lyzr · 2026