AI Strategy & Consulting

Identify the highest-impact AI opportunities for your business, build a phased adoption roadmap, and align stakeholders around measurable outcomes that drive real ROI.

View service overview
  • AI readiness assessment
  • Executive alignment
  • Measurable ROI

Core consulting pillars

A proven framework that takes organizations from AI curiosity to measurable business impact.

AI readiness assessment

Evaluate your organization's AI maturity, identify high-impact use cases, and prioritize by ROI.

  • Data infrastructure audit
  • Team capability mapping
  • Maturity scorecard delivery

AI roadmap development

Build a phased adoption plan with clear milestones, budget, and stakeholder buy-in.

  • Phased implementation timeline
  • Budget and resource planning
  • Executive presentation deck

Use case prioritization

Score and rank AI opportunities by business impact, feasibility, and data readiness.

  • Structured scoring framework
  • ROI estimation per use case
  • Risk and dependency analysis

Change management

Prepare teams for AI adoption with training plans, governance frameworks, and success metrics.

  • AI literacy training programs
  • Governance policy development
  • Success metric definition

Why businesses choose Cynked for AI strategy

Vendor-neutral guidance, measurable outcomes, and executive alignment that turns AI ambition into business results.

Vendor-neutral advice

We recommend the right AI tools and platforms for your needs, not ours. Every recommendation is backed by objective evaluation criteria.

Measurable outcomes

Every engagement starts with success metrics so you can track real business impact from day one through to full-scale rollout.

Executive alignment

We facilitate stakeholder workshops to build consensus on AI priorities and investment, ensuring leadership is aligned before a single dollar is spent.

A structured path to AI adoption

Five phases that take you from initial assessment to organization-wide AI deployment.

  1. Discover

    Stakeholder interviews, data audit, and AI maturity assessment to understand where you stand.

  2. Prioritize

    Score use cases by impact, feasibility, and data readiness to focus on what matters most.

  3. Design

    Architecture, vendor selection, and phased implementation plan tailored to your organization.

  4. Pilot

    Build and measure a proof-of-concept for the highest-impact use case with clear success metrics.

  5. Scale

    Roll out successful pilots across the organization with training and governance frameworks.

A partnership you can trust

Senior-led delivery, transparent playbooks, and cross-industry experience that gives you confidence from day one.

Founder-led delivery

Meet with decision-makers on every call—architecture and delivery stay in senior hands.

Documented playbooks

AI adoption playbooks, vendor evaluation frameworks, and training materials you can review before engagement.

Cross-industry experience

Experience deploying AI across SaaS, e-commerce, healthcare, and enterprise operations.

AI & Cloud Platforms

We architect on modern frameworks and cloud platforms while planning for data residency, governance, and long-term maintainability.

React logoReact
Next.js logoNext.js
Node.js logoNode.js
TypeScript logoTypeScript
PostgreSQL logoPostgreSQL
Prisma logoPrisma
Redis logoRedis
Firebase logoFirebase
AWS logoAWS
GCP logoGCP
Docker logoDocker
CI/CD logoCI/CD
Enterprise-grade security
SOC 2-aligned practices
Comprehensive documentation

FAQs

Straight answers to common questions.

FAQHow do you determine which AI use cases are worth pursuing?

We run a structured scoring process that evaluates each potential use case across three dimensions: business impact, technical feasibility, and data readiness. Use cases that score highly on all three move into a pilot phase. This approach prevents teams from chasing flashy demos and focuses investment on initiatives that deliver measurable ROI.

FAQDo we need a large dataset to get started with AI?

Not necessarily. Many high-impact AI applications work with modest datasets, especially when using pre-trained models, retrieval-augmented generation, or transfer learning. During the discovery phase we audit your existing data assets and identify gaps early so you can start building value without waiting for a perfect data warehouse.

FAQWhat does a typical AI strategy engagement look like?

We start with a 2-week discovery phase that includes stakeholder interviews, a data audit, and an AI maturity assessment. From there we deliver a prioritized use-case roadmap with clear milestones, budget estimates, and vendor recommendations. Most clients then move into a proof-of-concept pilot for the highest-impact use case before scaling across the organization.

Ready to build your AI roadmap?

Book a discovery call and we'll identify the highest-impact AI opportunities for your business.

Ho Chi Minh City, Vietnam
info@cynked.com
+84 (0) 34 875 9604