AI handles volume. Partners handle judgment.

Our AI-native delivery model produces 5x the output per senior hour—research, benchmarking, drafting, and analysis automated. Your partner spends time where it matters: strategy, risk assessment, and client relationships.

THE SPLIT

Automation for volume. Humans for judgment.

AI Handles

High-volume analytical work

Market research and competitive intelligence
Document drafting and formatting
Data extraction and analysis
Regulatory mapping and compliance checks
Meeting notes and summary generation
Template generation and customization
Quality checklist evaluation
Automated regression testing

Partners Handle

High-value strategic decisions

Stakeholder alignment and buy-in
Strategic trade-off decisions
Risk assessment and mitigation
Client relationship management
Change recommendations and timing
Final sign-off and accountability
Escalation and crisis decisions
Engagement scope design

QUALITY ASSURANCE

Every deliverable passes through three gates.

1. Automated Evaluation

Factual consistency checks
Completeness against checklist
Formatting and style compliance
Citation accuracy verification

2. Partner Review

Engagement brief alignment
Domain knowledge validation
Client context appropriateness
Strategic soundness

3. Client Checkpoint

Structured feedback loops
Milestone confirmation
Nothing is 'final' until client confirms
Retrospective capture for improvement

WORKFLOW EXAMPLES

How AI-native delivery accelerates real engagements.

AI Readiness Assessment

Traditional: 6-8 weeks

AI-Native: 2 weeks

Interviews → LLM theme extraction → Prioritized report
Automated gap analysis against industry benchmarks
Draft recommendations with risk assessment

Competitive Intelligence

Traditional: 3-4 weeks

AI-Native: 3 days

Brief → Retrieval pipeline → Structured profiles
Automated landscape mapping with visual outputs
Partner validation and strategic implications

Governance Policy Framework

Traditional: 4-6 weeks

AI-Native: 1 week

Existing policies + regulations → Gap analysis
Automated draft generation per policy area
Partner review for organizational fit and legal soundness

Training Program Design

Traditional: 3-4 weeks

AI-Native: 1 week

Skill assessment → LLM curriculum engine → Custom program
Automated content generation with industry examples
Partner customization for client context and culture

INFRASTRUCTURE

Seven categories of AI tools power our delivery.

LLM Workbench

Claude, GPT-4, custom evaluation harnesses

Retrieval Systems

Document ingestion, semantic search, regulatory corpus

Automation

Workflow chains, scheduled monitoring, integrations

Data & Analytics

Extraction, visualization, benchmarking, statistics

Engineering Delivery

API development, system integration, CI/CD, observability

Security Posture

Encrypted handling, access controls, audit logging, PDPA/PDPO

Collaboration

Pertama Current dashboard, versioned deliverables, feedback loops

PROOF ARTIFACTS

See exactly how we work.

We publish the actual artifacts we use in client engagements—checklists, rubrics, templates. Nothing is hidden.

Sample AI Readiness Assessment (redacted 3-page excerpt)

QA Evaluation Rubric (the actual rubric we use)

Engagement Kickoff Checklist (47 items)

Deliverable Quality Scorecard

Governance Policy Template (sanitized)

Partner Evaluation Criteria

View Standards & Artifacts

See the model in action

For Organizations

Let's discuss how AI-native delivery can accelerate your project.

Talk to Us

For Partners

Experienced practitioners who want to leverage AI infrastructure.

Join as Partner