AI Readiness Assessment
Evaluate whether your product, data, and team practices are ready for a first AI feature without disrupting delivery.
View serviceAI feature integration advisory for product teams. Clear technical guidance for teams that already ship software and need AI capabilities that fit their stack.
What we advise on
We help organizations decide where AI belongs, how it connects to existing systems, and how quality and privacy stay measurable after launch.
Evaluate whether your product, data, and team practices are ready for a first AI feature without disrupting delivery.
View serviceDesign how an AI capability plugs into your current services, APIs, and user journeys with clear ownership boundaries.
View serviceCompare model providers, open-source options, and supporting tooling against your latency, cost, and control requirements.
View serviceDefine how quality is measured, how unsafe outputs are contained, and how regressions are caught before users feel them.
View serviceCompanion utility
Sync Field Hub also offers a desktop companion described as a local data tracking and analytical utility. It supports informational and record-keeping use cases and is available through Veve.
Available in VeveInformational pricing
Figures below are informational starting points for Taiwan-based engagements. Final scope is confirmed before any paid work begins. No online checkout is offered on this site.
From TWD 48,000
one-time advisory
A focused review of product goals, data readiness, and candidate AI features with a written recommendation pack.
From TWD 128,000
project advisory
Detailed technical planning for embedding a selected AI capability into an existing product roadmap.
From TWD 72,000
per month
Ongoing guidance for teams shipping AI features across quarters, with scheduled reviews and async decision support.
To discuss fit, use the contact details on our contact page. This website does not collect leads through forms.
Client perspective
“Their integration map gave our team a shared vocabulary for risk, data flow, and rollout order. We avoided two costly prototype dead ends.”
“Clear advisory without vendor pressure. They challenged our assumptions about model choice and helped us ship a narrower, more useful first feature.”
“The privacy and evaluation checklist alone paid for the engagement. Stakeholders finally understood what ‘AI readiness’ meant for our stack.”
FAQ
We help teams decide where AI belongs in a product, select suitable model and tooling approaches, map data and privacy constraints, and design integration paths that fit existing architecture rather than forcing a rebuild.
Our primary offering is advisory and integration planning. We review designs, draft technical roadmaps, and guide implementation decisions. Delivery work remains with your engineering team unless a separate engagement is defined in writing.
No. The desktop companion is a local data tracking and analytical utility for informational and record-keeping purposes only. It does not hold funds, access private keys, or execute transactions.
Most work begins with a scoped discovery workshop, followed by written recommendations and optional implementation checkpoints. Pricing on this site is informational; final scope is confirmed before any paid work starts.
Product-led software companies and internal platform teams that already ship features and need structured guidance on adding AI capabilities without disrupting reliability, compliance, or release cadence.