PrimenAI Solutions Inc.
AI engineering and transformation services for enterprises and growing companies. Registered and operating in the Philippines, with an office in Bonifacio Global City, Taguig.
This capability statement summarizes publicly available information about PrimenAI's services, operating model, delivery methodology, and engagement principles. Corporate registration documentation, security questionnaire responses, commercial proposals, and contractual documents are provided during formal evaluation. See Data Privacy & Security Overview.
What we do
PrimenAI identifies high-value AI opportunities, builds AI agents and intelligent workflows, integrates them with existing business systems, and operates them in production against measurable success criteria. Our services cover seven areas.
- AI Strategy & Readiness
- Opportunity identification, readiness assessment, prioritization, business cases, and governance foundations.
- AI Agents & Knowledge Systems
- Grounded assistants over approved organizational knowledge, with role-aware access and human escalation.
- AI Automation & Document Intelligence
- Classification, extraction, validation, and routing for document- and decision-heavy processes.
- Custom AI Applications
- AI-enabled portals, copilots, internal platforms, and decision-support systems.
- AI Integration & Data Engineering
- Connecting AI models with business systems, APIs, information sources, and data pipelines.
- Managed AI Operations
- Monitoring, evaluation, governance, maintenance, and continuous improvement of production AI.
- Transformation Delivery Enablement
- Product, program, Agile, and governance practices that move initiatives into sustainable operation.
How we work
ABIOP — the PrimenAI AI Operating Model
Advise, Build, Integrate, Operate, Productize. ABIOP defines the capabilities PrimenAI provides across the AI lifecycle — what we can do for an organization at each stage from opportunity identification through to repeatable operating solutions.
Value-to-Scale — the PrimenAI Delivery Methodology
Discover, Assess, Prioritize, Design, Deliver, Optimize. Value-to-Scale defines how an individual engagement is delivered, from business context through to measurable operational value and continuous optimization.
Both are supported by governance appropriate to the engagement — documented decisions, defined ownership, and change control — and by human oversight designed into AI systems rather than added afterwards. Outcomes are measured against success criteria agreed before delivery begins.
Engagement models
| Engagement | Indicative timeline | Purpose |
|---|---|---|
| AI Workflow & ROI Sprint | 2–4 weeks | Identify high-value AI opportunities and prepare one prioritized use case for implementation. |
| AI Proof-of-Value Build | 6–10 weeks | Build a controlled working AI solution that validates feasibility, user value, and business potential. |
| AI Production Deployment | Scoped to complexity | Convert a validated use case into a secure, integrated, maintainable, adoption-ready capability. |
| Managed AI Operations | 6- or 12-month term | Operate, monitor, maintain, evaluate, and continuously improve deployed AI systems. |
Starting investments and full engagement detail are published on the engagement models page. Final pricing depends on scope, complexity, integrations, data readiness, security and governance requirements, deployment environment, and support needs.
Enterprise engagement principles
- Business-outcome first
- Every engagement is anchored to a defined operational, customer, financial, or organizational outcome.
- Governed delivery
- Documented scope, ownership, decisions, milestones, and change control.
- Human oversight where appropriate
- Escalation paths and review points are designed in, not added after deployment.
- Integration into real operational systems
- Solutions are designed to work inside the systems and processes already in use.
- Measurable success criteria
- Agreed in writing before build, and used to decide whether work proceeds to production.
- Post-launch operating ownership
- Named responsibility for monitoring, evaluation, and improvement after go-live.
Evaluate our approach
Reference architectures, governance models, and example engagement artifacts are published on the demonstrations page. These are PrimenAI demonstrations, not client case studies.
Contact
PrimenAI Solutions Inc.
Unit 1702, 17th Floor, High Street South Corporate Plaza, Tower 2
11th Ave. cor. 26th Street, Bonifacio Global City, Taguig, Philippines
Email: contactus@primenai.com
Phone: +63 995 363 8861
Web: https://primenai.com