Question 1

What does an AI automation agency do?

Accepted Answer

An AI automation agency designs, builds, and operates software systems that take repetitive operational work off your team, lead routing, document handling, support triage, reporting, using a mix of LLMs, workflow engines, and integrations. Syncraft Studio focuses on outcome-measured engagements: a baseline metric, a target, and instrumentation that proves the lift in week one.

Question 2

How quickly can we see the first production system live?

Accepted Answer

Most Spark engagements ship a working, measured workflow within four weeks. Larger engagements parallelize multiple systems with the first one live around week three. We pick the smallest scope that moves your metric, ship it, then expand from there.

Question 3

Do you write the code yourselves or use no-code tools?

Accepted Answer

Both, deliberately. We use no-code where it earns its keep, quick wins on Make, n8n, or Zapier, and write typed, tested code wherever reliability or scale matters. You always get full ownership of the source and the right to leave whenever you choose.

Question 4

Who owns the IP after delivery?

Accepted Answer

You do. Every line of code, every workflow, every prompt is yours. Syncraft is a build partner, not a lock-in vendor. Source is delivered to your repository, deployed to your infrastructure, and runs on your cloud accounts.

Question 5

Do you work with European clients and respect GDPR?

Accepted Answer

Yes. We work daily with teams across the UK, Germany, the Netherlands, and Ireland. Engagements run in EU regions where data residency requires it, with DPA, SCC, and GDPR-aligned processing baked into every contract. We document data flows, retention, and processor relationships up-front.

Question 6

What does measurement actually look like?

Accepted Answer

Every engagement starts with a baseline metric and a target. We instrument the workflow before we ship it, so we can prove the lift in week one, not at the end of a quarter. Dashboards live in your stack, not behind our login.

Question 7

What if our problem isn't really an AI problem?

Accepted Answer

Then we tell you. About a third of our scoping calls end with us recommending a non-AI fix, a better integration, a clearer SOP, a smaller refactor. We'd rather skip the engagement than ship something that doesn't move the metric.

Question 8

How much does workflow automation cost in Europe?

Accepted Answer

Custom workflow automation typically ranges from €5-25k for a single Spark engagement (one workflow shipped in 4 weeks) to €40-120k for a multi-workflow build. Open-ended retainers are €4-9k per month. We quote to outcome, not hours, so the price is visible before we start.

Question 9

How long does it take to automate a business process?

Accepted Answer

A single high-leverage workflow takes 2-4 weeks from kickoff to production: one week for instrumentation and design, two weeks of building, one week for hardening. Multi-step processes spanning several systems usually need 6-10 weeks. We always ship the first measurable slice within a month.

Question 10

Is AI automation worth it for small businesses?

Accepted Answer

Yes, when there is a repeating, measurable process eating someone's time. The honest test: if the work happens at least weekly, takes at least an hour, and follows a predictable shape, automating it usually pays back inside one quarter. If it's bespoke and rare, automation is the wrong tool.

Question 11

What is the difference between n8n, Zapier, and Make?

Accepted Answer

Zapier is the simplest and most expensive at scale. Make has more powerful logic and is friendlier for branching workflows. n8n is open-source and self-hostable, which matters for data-residency or cost-sensitive teams. We use all three depending on the constraint, and write code instead when reliability matters more than speed.

Question 12

How do I automate WhatsApp for my business?

Accepted Answer

Use the official WhatsApp Business API (via a provider like Meta Cloud API, Twilio, or 360dialog), connect it to your CRM, and route messages through an automation engine. We typically pair this with an LLM-based router for intent classification and a human-in-the-loop fallback. Avoid grey-market unofficial APIs, they get banned.

Question 13

What is the difference between an AI agent and a chatbot?

Accepted Answer

A chatbot follows scripted decision trees and answers from a knowledge base. An AI agent reasons over your data, calls tools, and can take multi-step actions to achieve a goal, booking a meeting, drafting a quote, escalating to a human. Agents are useful when the task isn't fully predictable; chatbots are fine for FAQs.

Question 14

Automation agency vs hiring an in-house engineer, which is better?

Accepted Answer

An in-house engineer makes sense when automation is core, ongoing, and tied to product. An agency makes sense for projects with a defined endpoint, multiple systems, or specialised skills you don't need full-time. A senior automation engineer in Europe costs €120-160k per year all-in; one Syncraft engagement typically costs less than a quarter of that and ships in weeks.

Question 15

Do you build with Anthropic Claude, OpenAI, or both?

Accepted Answer

Both, plus open-source models when on-prem or cost matters. Model choice is per-task: Claude for long-context reasoning and writing, GPT for tool-use and structured output, Llama or Mistral on private infra when data must stay in. We treat the model as a hot-swappable component, never the centre of the system.

Question 16

Can you integrate with our existing CRM (HubSpot, Salesforce, Pipedrive)?

Accepted Answer

Yes. We have shipped integrations with HubSpot, Salesforce, Pipedrive, Close, Airtable, Notion, and most major SaaS. The pattern is the same: a typed adapter, a queue for retries, an audit log, and an instrumented metric so you can see the workflow's impact in your own dashboards.

Question 17

Do you work with Shopify and e-commerce stores?

Accepted Answer

Yes. Common e-commerce builds: order-status WhatsApp flows, abandoned-cart recovery agents, supplier-side PO automation, refund triage, and product-catalogue enrichment. We connect via the Shopify Admin API and webhooks, and instrument every flow against the relevant revenue or cost metric.

Question 18

How do you handle real estate automation?

Accepted Answer

For real estate we typically build lead-qualification agents over WhatsApp or email, listing-sync between portals, automated follow-up sequences, and document-handling for contracts and KYC. The win is usually in response time, agencies that reply within five minutes convert several times more than those that take an hour.

Question 19

What happens after the first system ships?

Accepted Answer

You can take it in-house, keep us on a light retainer, or scope the next workflow. We document everything as we build, so handoff to your team is real, not theoretical. About half of our clients keep us on a small monthly retainer for monitoring and iteration; the other half take ownership outright.

Question 20

How do I get started?

Accepted Answer

Send a short note describing the process you want to automate and the metric you want to move. We reply with three things: whether we think it's a fit, a rough scope and price, and a 30-minute call slot if you want to dig deeper. No long discovery cycles, most decisions happen inside two emails.

Production-grade real estate automation for Madrid.

Five-minute lead-reply window missed

Listings out of sync across portals

Agents qualifying instead of selling

Our approach to real estate automation

What teams in Madrid ask first.

Stop bolting tools together. Engineer it in.