FAQ
19 Key Questions about AI Workflow Automation
How do you choose an AI workflow automation consultant?
Judge a consultant on six criteria: communication, open source vs lock-in, maintenance after launch, integration experience, a clear quote, and what happens if it fails.
1. Easy communication: can the consultant discuss processes, quotes, and system details in your working language and reply during your business hours? Put response times and what happens when something breaks into the contract, and confirm who your contact is.
2. Open source vs licensing lock-in: self-hosting an open-source tool like n8n means no platform licence fee, only hosting and maintenance; with locked-in platforms, your workflows stop the day you stop paying.
3. Maintenance after launch: build-only projects often stop working within a few months as connected systems change and access expires. Maintenance is quoted per project and should cover monitoring, error alerts, and small adjustments.
4. Integration with the ERP/CRM you use today: ask for concrete experience with Digiwin, Chain Sea, SAP Business One, HubSpot, or Salesforce, and how they connect a system that has no official API (reading the database directly, exchanging files, or software that mimics manual steps).
5. A clear quote: you should receive a line-itemed quote (requirements interview, workflow design, build, testing, training, maintenance), not just one total.
6. What happens if it fails: the contract should state acceptance criteria, remedies when they are not met, and data ownership. TriloAI runs a 2–4 week limited-scope validation first; if it fails validation, we do not proceed to full build.
How much does AI automation cost? How is it quoted?
TriloAI does not publish prices for any plan; every project is quoted to your needs. After a free 30-minute consultation we quote based on the service, the number of workflows and how many systems are connected.
Workflow automation and integration: based on the number of workflows, how many branches they have, and how many systems to connect.
AI messaging and booking: based on conversation scenarios, how much information the AI must answer from, and whether booking / CRM is connected; AI usage and hosting are billed separately at actual usage.
Website design and build: from NT$15,000 (≈ USD 500), typically NT$30,000–100,000 (≈ USD 1,000–3,300); the final quote depends on scope and is given after a free consultation.
AI search visibility (GEO): the first round of optimization and monthly work are quoted separately, based on your site today and the scope of work.
Cross-system integration (CRM/ERP): based on how many systems are connected, whether they have APIs, and data volume.
What pushes the price up: systems without APIs (extra effort), data that must be cleaned up and de-duplicated first, hosting on your own servers with security audits, multiple languages or multiple entities. What brings it down: processes that are already settled, systems with official APIs, and a phased rollout. Maintenance is billed separately and quoted per project.
How long does implementation take, and what is the process?
A single workflow goes live in 4–8 weeks; multi-system integration takes 8–12 weeks, across five stages each with defined deliverables.
Week 1 — Understand how things work today: interview 2–3 people who actually do the work and note how long each step takes and how often it goes wrong. Deliverable: a current-state process map with a suggested order of work and estimated hours saved.
Weeks 2–3 — Workflow design and quoting: draw the improved flow, agree on the data fields, and decide how special cases are handled. Deliverable: an automation design document, a line-itemed quote, and acceptance criteria.
Weeks 4–7 — Build and connect: in a test environment, connect the systems and set up automatic retries and alerts when something fails. Deliverable: a working test environment and a list of connected systems.
Week 8 — Sign-off and training: your team runs 5–10 test scenarios end to end with real data. Deliverable: acceptance records, an operations manual, and 1–2 hours of training.
Months 1–3 after launch — Ongoing maintenance: track whether each run succeeds (target 99%+) and adjust once a month. Deliverable: monthly execution reports and records of how problems were handled.
Is TriloAI a Taiwanese company? How do you work with Taiwanese clients?
No. TriloAI is a US-registered company (TriloAI LLC) with no Taiwan office, serving Taiwanese clients remotely through online meetings, remote build, and online training. We do not offer on-site services.
Payment and invoices: quotes are in USD, and TWD is also accepted, by credit card (Stripe), international wire, or Wise. We issue a formal English invoice and cannot issue a Taiwanese unified invoice (統一發票). Taiwanese companies typically book this as a purchase of services from abroad, using the invoice and the wire record; confirm the treatment with your accountant.
n8n, Make, or Zapier — which should you choose?
Choose n8n when data must stay on your servers, Zapier for fast simple rollouts, and Make for visual building at moderate volume.
Third-party tool costs: self-hosted n8n only carries a hosting cost (depending on server size and usage) with unmetered executions, but requires maintenance; Make subscriptions start at about US$9–29 per month and Zapier subscriptions at about US$20–70 per month, with both increasing as usage grows.
Learning curve: Zapier is easiest — an admin can learn it in half a day; Make is moderate, needing an understanding of modules and array handling, about 1–2 weeks; n8n is steepest, requiring basic JSON and API knowledge plus occasional JavaScript, typically 2–4 weeks or delegated to a consultant.
Where data lives: n8n can be fully self-hosted in a Taiwanese data centre or on your internal network so sensitive data never leaves the country; Make and Zapier are cloud SaaS routing data through US and EU servers, which finance, healthcare, and audit-bound industries must evaluate carefully.
Where each is a bad fit: n8n is wrong for companies with no IT staff and no intent to outsource ops — nobody fixes the server when it goes down; Zapier is wrong for high-frequency workflows running tens of thousands of times a month, where billing spirals; Make is wrong for complex custom logic or strict data-residency requirements. In practice many companies mix them: high-volume and sensitive workflows on n8n, occasional marketing integrations on Zapier.
Which workflows do SMBs automate most often?
Four workflows come up most: customer support, quoting, admin approvals, and document handling. They repeat every day and follow clear rules.
Support: enquiries were answered one by one, during office hours only. After automation, AI answers common questions first, around the clock, and passes anything outside its knowledge or needing judgment to a person. What to track: first response time, share of automated replies, and share handed to a person.
Quoting: reps looked up prices, filled templates, calculated discounts, and sent each quote by hand. After automation, a form triggers item and price lookup, generates the PDF, and files it in the CRM. What to track: time per quote and the number of quote errors.
Admin: leave, purchasing, and expense requests went back and forth on paper or email. After automation, they are submitted from WhatsApp, SMS, or a form, with automatic overdue reminders and results synced to attendance and accounting systems. What to track: time per approval round and the number of overdue requests.
Documents: invoices, contracts, and delivery notes were keyed into the ERP by hand. After automation, OCR plus AI extracts the fields and matches them against purchase orders, and unclear fields go to a person for review. What to track: time per document and the share that needs manual correction.
What is an AI automation consultant?
An AI automation consultant converts repetitive manual work into automated workflows, typically delivering the first usable workflow in 4–8 weeks.
At TriloAI, the same team handles the free 30-minute consultation, workflow design, build, and maintenance after launch. That makes us your external AI department, so companies with no tech team can keep their automations running, with maintenance quoted per project.
Unlike buying software, the consultant's value is deciding which processes are worth automating at all. Some workflows save less time than they cost to build and maintain; we advise skipping those and concentrating budget on workflows that save more than 20 hours per month.
How is TriloAI different from other AI consultancies?
Three differences: open-source n8n builds with no platform licence fee, hands-on WhatsApp/SMS messaging integration, and the same team from consultation to launch.
First, we build on open-source tools like n8n, so you carry no annual licence fees and own both the workflows and the data outright — you can take over yourself if we ever part ways.
Second, deep integration with WhatsApp Business API and SMS — including automated notifications and payment-related flows — the primary customer channel for most SMBs.
Third, unlike large consultancies chasing multi-million enterprise projects, TriloAI designs affordable, deployable solutions for companies of 10–200 people; you can start with a single workflow, quoted to your needs.
What is AI search visibility (GEO) and why does my business need it?
GEO makes your brand understandable and citable by ChatGPT, Gemini, Perplexity, and Google AI Overview, as more people ask AI before they decide.
Traditional SEO chases rankings; GEO chases citations. An AI answer cites only a handful of sources, so if you are not cited, readers do not see you, even if you rank first on Google.
TriloAI's AI search visibility (GEO) service has three parts: site setup (so AI can actually read your pages), content (answer first in every section, concrete numbers, lists and comparison tables), and credibility (markup that helps AI understand your pages, and getting other sites to mention you). We review over an 8–12 week cycle and log how often AI answers cite the brand.
How do SMBs start AI transformation?
Three steps: book a free 30-minute consultation, validate with a 2–4 week pilot, then expand once results are proven.
Step one, inventory your most time-consuming repetitive work, quantifying duration and frequency per step to find candidates that save more than 20 hours a month.
Step two, validate with a small project such as WhatsApp/SMS auto-reply or automated reporting, quoted to your needs after the free 30-minute consultation.
Step three, expand into adjacent workflows based on the results. No in-house tech team is needed, though we recommend assigning one process owner as point of contact.
What is n8n and why do you recommend it?
n8n is an open-source workflow automation platform with 400+ integrations that can be self-hosted and is not billed per execution.
Integrations cover WhatsApp, SMS, Google Workspace, HubSpot, Salesforce, Slack, ChatGPT, and most databases; where no node exists, an HTTP Request node connects to any REST API.
Compared with Zapier and Make, n8n can be self-hosted on your own servers with full data control. Self-hosting only carries a hosting cost, with unmetered executions, so platform fees do not grow with run volume.
What can a WhatsApp/SMS AI chatbot do?
A WhatsApp/SMS AI assistant answers FAQs, books appointments, syncs with your CRM, and hands off to humans, so repeat questions are handled before they reach your staff.
Best-fit industries include clinics and aesthetic medicine, fitness, F&B, beauty, education, and e-commerce, where many inbound messages are repeat questions about hours, prices, bookings, and location. Clinics and healthcare providers require a signed Business Associate Agreement (BAA) and HIPAA-compliant handling of any patient data before launch.
AI messaging and booking is quoted to your needs, based on conversation scenarios, how much information the AI must answer from, and whether booking / CRM is connected (AI usage and hosting billed separately at actual usage). Launch takes 4–6 weeks and covers preparing the information the AI uses, designing the conversations, and setting when to hand off to a person, followed by one round of adjustments in the first month based on real conversations.
What are the risks of adopting AI automation?
The main risks are data leakage, workflow errors disrupting business, and legacy incompatibility — reduced by self-hosting, testing before launch, and a step-by-step rollout.
Data security: n8n runs on your own server, so sensitive data doesn't pass through other cloud services; every project is under NDA, and accounts get only the access they need.
Workflow stability: each workflow runs 5–10 test scenarios with real data in a test environment before launch, and failures are retried automatically with an alert, targeting a 99%+ success rate.
Compatibility: we connect things step by step instead of replacing everything at once, running the old and new ways in parallel for 2–4 weeks until the results match.
Which industries is TriloAI a good fit for?
We focus on five industries: clinics and aesthetic medicine, fitness, F&B and delivery, e-commerce brands, and B2B services, mostly 10–200 employees.
The common trait is heavy repetitive volume: more than 50 repeat enquiries a day, more than 100 quotes or orders a month, or more than 200 documents keyed in manually each month.
Meeting any one of these usually means a single-workflow project can validate the payback first.
How fast does AI automation pay back, and how is ROI calculated?
Estimate payback by comparing monthly labour savings with the project cost and ongoing maintenance.
How to calculate it: monthly labour saving = staff hours saved per month × hourly labour cost; net monthly saving = monthly labour saving − monthly maintenance fee; payback in months = build fee ÷ net monthly saving. Build and maintenance fees are quoted to your needs after the free 30-minute consultation, and every company's numbers differ.
Beyond hours, include the cost of errors and the effect of response speed on closed deals. Measure both before launch so you can compare them afterwards.
How do I contact TriloAI?
Book a free 30-minute consultation, use the AI assistant at the bottom right of the site, or email service@triloai.org.
Email, WhatsApp Business, SMS, and web chat are our primary contact channels; a LINE official account is also available for Asian-market clients. We reply within one business day.
The free 30-minute consultation looks at 1–2 real workflows and gives a rough price range and timeline. It's free, you don't have to decide anything up front, and no documents are needed in advance.
How much does a website cost?
Website design and build starts from NT$15,000 (≈ USD 500), typically NT$30,000–100,000 (≈ USD 1,000–3,300). The final quote depends on scope and is given after a free consultation. Third-party costs such as hosting, domain, Shopify subscription, themes, plugins / apps and payment fees are not included; see the official websites.
Who owns the website once it is built?
You buy the hosting and domain, in your name. We build the site in our environment, then hand the whole site over to your own hosting account after sign-off, with an operating guide.
I already have a website. Does it need a full rebuild?
Not necessarily. Features such as online registration, deposit and balance payments, and order status can be added to an existing WordPress / WooCommerce site. Moving to Shopify is also an option.
Still have questions
Book a free 30-minute consultation. A TriloAI consultant will learn about your needs one-on-one and give you initial advice and a clear quote.