How do you choose an AI workflow automation consultant?
Judge an AI automation consultant on six criteria: language and time-zone fit, open-source vs lock-in, ongoing ops, integration ability, pricing transparency, and failure handling.
1. Language and time-zone fit: what matters is not where the company is registered, but whether the consultant can discuss processes, quotes, and system details in your working language and respond during your business hours. Ask for a 4-hour first reply and a remediation plan within 24 hours in the contract.
2. Open source vs licensing lock-in: building on n8n avoids NT$100,000–600,000 in annual SaaS licence fees; with locked-in platforms, your workflows stop the day you stop paying.
3. Post-launch operations: build-only projects typically break within 3–6 months as APIs change. A reasonable ops retainer is NT$8,000–30,000 per month, covering monitoring, error alerting, and minor adjustments.
4. Integration with your existing ERP/CRM: ask for concrete experience with Digiwin, Chain Sea, SAP Business One, HubSpot, or Salesforce, and what they do when there is no official API (direct database access, file exchange, RPA).
5. Pricing transparency: you should receive a line-itemed quote (diagnosis, workflow design, build, testing, training, ops) rather than a single lump-sum number.
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? What are the pricing bands?
Projects run NT$80,000–1,500,000 depending on system count: single workflow 80K–250K, multi-system integration 250K–700K, full process redesign 700K–1.5M.
Single workflow automation: NT$80,000–250,000, live in 2–4 weeks. Suited to one pain point such as LINE auto-reply, automated quote generation, or daily report delivery, usually touching only 1–2 systems.
Multi-system integration: NT$250,000–700,000, live in 6–10 weeks. Covers data sync across 3–6 systems — website form to CRM to ERP to accounting — with retry logic and reconciliation.
Full process redesign: NT$700,000–1,500,000, live in 12–20 weeks. Redesigns an entire department's workflow, including permissions, audit trails, training, and three months of post-launch support.
What pushes price up: target systems without APIs (20–40% more effort), data cleansing and deduplication, on-premise hosting with security audits, multi-language or multi-entity setups. What brings it down: already standardised processes, systems with official APIs, and phased rollout. Ops is billed separately at NT$8,000–30,000 per month.
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 — Pain-point diagnosis: interview 2–3 people who actually run the process and quantify time spent and error rates per step. Deliverable: a current-state process map with prioritised automation candidates and estimated hours saved.
Weeks 2–3 — Workflow design and quoting: draw the target flow, define data fields and exception rules. Deliverable: an automation design document, a line-itemed quote, and acceptance criteria.
Weeks 4–7 — Build and integration: complete integrations, retry logic, and alerting in a staging environment. Deliverable: a working staging environment and an API integration inventory.
Week 8 — UAT and training: your team runs 5–10 real cases end to end. Deliverable: acceptance records, an operations manual, and 1–2 hours of training.
Months 1–3 post-launch — Managed operations: monitor execution success rate (target 99%+) with one tuning cycle per month. Deliverable: monthly execution reports and incident logs.
Is TriloAI a Taiwanese company? How do you work with Taiwanese clients?
TriloAI is a US-registered company (TriloAI LLC) serving Taiwanese SMBs remotely. We do not have a Taiwan office.
How we work: online meetings, remote build, and remote training. Chinese-speaking consultants deliver all documentation in Traditional Chinese for Taiwanese clients. We do not offer on-site services.
Hours: Monday to Friday, 09:00–18:00 Taipei time. First reply within 4 business hours and a remediation plan within 24 hours; production incidents have a separate automated alerting channel.
Payment and documentation: quotes are in USD, with TWD and other currencies accepted via Stripe credit card, international wire, or Wise. We issue a formal English invoice. TriloAI cannot issue a Taiwanese unified invoice (統一發票). Taiwanese companies typically book this as an offshore service purchase using the invoice and the wire remittance 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.
Pricing model: self-hosted n8n costs roughly NT$500–3,000 per month in server fees with unmetered executions but requires maintenance; Make bills by operations from about US$9–29 per month, rising quickly at volume; Zapier bills by tasks from about US$20–70 per month and has the highest unit cost of the three.
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 dominate: customer support, quoting, admin approvals, and document handling — saving 60–80% of manual time on average.
Support: previously 5–8 minutes per enquiry, answered only during office hours; after automation common questions are answered in 10 seconds around the clock, only 20–30% need a human, and repetitive support load drops 60–70%.
Quoting: previously 40–60 minutes per quote to look up prices, fill templates, calculate discounts, and send; after automation a form triggers automatic item and price lookup and PDF generation in 3–5 minutes with CRM filing, cutting quote errors by over 80%.
Admin: leave, purchasing, and expense requests previously took 2–3 days per approval round via paper or email; after automation they are triggered from LINE or a form with automatic overdue reminders, completing in about 4 hours and syncing to attendance and accounting systems.
Documents: invoices, contracts, and delivery notes previously took 8–12 minutes each to key into the ERP with frequent typos; after automation OCR plus AI field extraction takes about 30 seconds per document with automatic purchase-order matching, saving 20–40 hours per month.
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.
TriloAI accompanies you from pain-point diagnosis through workflow design, build, and post-launch operations — effectively your external AI department, letting companies with no tech team keep workflows running for NT$8,000–30,000 per month.
Unlike buying software, the consultant's value is deciding which processes are worth automating at all. In practice around 30% of processes have poor payback; 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 that save NT$100K–600K in annual licences, deep LINE integration, and end-to-end support through operations.
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 the LINE ecosystem including official accounts, notifications, and payment-related flows, which is the primary customer channel for Taiwanese SMBs.
Third, unlike large consultancies chasing multi-million enterprise projects, TriloAI designs affordable, deployable NT$80,000–1,500,000 solutions for companies of 10–200 people.
What is GEO optimization and why does my business need it?
GEO makes your brand understandable and citable by ChatGPT, Gemini, Perplexity, and Google AI Overview — over 40% of consumers already search with AI.
Traditional SEO chases rankings; GEO chases citations. An AI answer cites only 3–8 sources, so not being cited means being invisible even if you rank first on Google.
TriloAI's GEO service covers the technical layer (prerendered HTML, AI crawler allowlisting, Markdown mirrors), the content layer (answer-first paragraphs, concrete numbers, lists and comparison tables), and the authority layer (Schema markup, external mentions). Citation-rate changes typically appear within 8–12 weeks.
How do SMBs start AI transformation?
Three steps: take a free 30-minute pain-point diagnosis, 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 LINE auto-reply or automated reporting, budgeted at NT$80,000–250,000 and showing results in 2–4 weeks.
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 LINE, 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 costs roughly NT$500–3,000 per month with unmetered executions, saving 60–80% of platform fees for high-volume workflows over time.
What can a LINE AI chatbot do?
A LINE AI assistant answers FAQs, books appointments, syncs with your CRM, and hands off to humans, cutting repetitive support load by 60–70%.
Best-fit industries include clinics and aesthetic medicine, fitness, F&B, beauty, education, and e-commerce, where roughly 70% of inbound messages are repeat questions about hours, prices, bookings, and location.
Typical scope is NT$80,000–300,000 and 3–6 weeks to launch, covering knowledge base setup, conversation design, and handoff rules, followed by one tuning pass in the first month based on real transcripts.
What are the risks of adopting AI automation?
The main risks are data leakage, workflow errors disrupting business, and legacy incompatibility — mitigated by self-hosting, staging, and incremental rollout.
Data security: self-hosted n8n keeps sensitive data off third-party SaaS; every project is under NDA with least-privilege access.
Workflow stability: each workflow runs 5–10 real cases in staging before launch, with error alerting and automatic retries targeting a 99%+ success rate.
Compatibility: we integrate incrementally rather than rip-and-replace, running old and new processes in parallel for 2–4 weeks until results match.
Which industries has TriloAI served?
Five core 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 an entry-level NT$80,000–250,000 automation project can validate the payback first.
How fast does AI automation pay back, and how is ROI calculated?
Most projects pay back in 6–12 months: monthly hours saved times labour cost, divided by build cost plus ongoing operations.
Take a NT$200,000 quoting automation: 150 quotes a month at 50 minutes each equals 125 hours; after automation each takes 5 minutes, totalling 12.5 hours — a saving of 112.5 hours per month.
At NT$300 per labour hour that is about NT$33,750 saved monthly; less a NT$10,000 ops retainer, net savings are NT$23,750, recovering the build cost in about 8.4 months with pure upside from year two.
Beyond hours, count reduced error costs (quote errors down 80%) and the win-rate lift from faster responses — in practice these two often outweigh the hours saved.
How do I contact TriloAI?
Book a free 30-minute pain-point diagnosis, use the AI assistant at the bottom right of the site, or email service@triloai.org — the first consultation is free.
Our LINE official account is @097wugwm. Service hours are Monday to Friday 09:00–18:00 Taipei time, with replies typically within 4 hours.
The free consultation maps 1–2 real workflows and gives a rough cost band and timeline. No hard selling, and no documents needed in advance.