Comparison
AI agency vs off-the-shelf software. The real build vs buy decision.
A 20-person company pays €2,500 to €5,500 a month for SaaS AI licenses that get them 70% of the workflow they want. A Wicflow custom build delivers the 100% version, quoted on a free call and tied to results. The license cost is not the full picture. Here is the build vs buy decision broken down with numbers.
SaaS AI wins when you have under 15 users and the standard workflow fits your reality. Wicflow wins when you have more than 15 users, multiple decision points the SaaS does not model, or workflows that span tools the SaaS does not integrate with. Past 20 staff and 3 workflows, the math almost always favors custom.
What "AI software" actually means in 2026
The off-the-shelf AI software market broke into three layers over the past two years.
- AI features inside existing SaaS: HubSpot AI, Salesforce Einstein, Pipedrive AI, Notion AI, Intercom Fin. Usually €15 - €50 per user per month added on top of the base license.
- Standalone AI products: Apollo AI, Lemlist, Reply, Smartlead, Lavender. €40 - €200 per user per month. Solve one specific use case (cold outreach, lead enrichment, email writing).
- AI agent platforms: Salesforce Agentforce, Microsoft Copilot Studio, Google Vertex AI Agents. €30 - €100 per agent per month plus usage. Promise general-purpose agents that you configure yourself.
For a typical 20-person company adopting "AI everywhere", the realistic license stack lands at €2,500 - €5,500/month with no customization, just configuration.
The hidden cost of SaaS AI
License fees are the visible cost. The hidden one is the 30 to 80 hours per month your team spends configuring, debugging, and working around the tool. We have seen this pattern across 40+ Finnish companies.
The SaaS gets you 70% of the way to the workflow you want. The remaining 30% is the part that actually moves revenue, and the SaaS does not bend to fit. So your team copies data between tools, builds Zapier workflows on top, manually fixes the AI output before it goes out, and produces internal training docs to explain the workarounds. That last 30% is what you pay an agency to build for you, properly, once.
What Wicflow costs by comparison
A custom Wicflow build replaces the configuration tax with a small setup and a retainer, most of it tied to the results the system delivers. The shape:
- Initial pilot build of the most critical workflow, quoted once on the discovery call
- Operator retainer for ongoing builds and improvements, quoted per engagement
- Pass-through SaaS used under the hood, billed directly to your accounts
- No per-user license inflation when you grow from 10 to 50 staff
For a 20-person company, the Wicflow total typically comes in lower than the SaaS stack, all-in. And the system fits exactly. The 30% that the SaaS could not bend to is the 30% Wicflow specifically builds.
Speed: similar at start, very different over time
SaaS AI is fast to start. You buy the seat, log in, configure for a week, and you are live. Wicflow takes 1 to 2 weeks. The first sprint is similar in speed.
But SaaS is slow to change. You are locked into the vendor's roadmap. When you need to add a new step to your workflow, you wait for the SaaS to support it (often forever). Wicflow ships changes weekly. By month 6, the Wicflow build has evolved through 15 to 25 small improvements, each one fitting how your team actually works. The SaaS is the same SaaS it was on day one.
Side-by-side
| Factor | Off-the-shelf SaaS AI | Wicflow custom build |
|---|---|---|
| Monthly cost for 20-person company | €2,500 - €5,500 | Quoted per engagement, typically lower all-in |
| Per-user pricing inflation | Yes - cost scales with headcount | No - one system, unlimited users |
| Fits your specific workflow | 70% out of the box | 100% by design |
| Time to first usable system | 1 - 2 weeks | 1 - 2 weeks |
| Rate of improvement after launch | Vendor's roadmap (years) | Weekly changes |
| Vendor lock-in | High - data and workflows trapped | None - you own the code |
| Hidden config / workaround cost | 30 - 80 hours/month team time | Built into the retainer |
| Available integrations | What the vendor supports | Anything with an API |
| Cost at 50-person scale | €6,000 - €12,000/month | Quoted per engagement, no per-user inflation |
When off-the-shelf SaaS AI actually wins
Three legitimate cases. Honest answers, agency bias acknowledged.
1. The SaaS does exactly what you need with no edge cases. If your team is satisfied with the standard workflow, the SaaS configuration matches your reality, and you do not need integrations beyond what the vendor provides, buy the SaaS. It will be cheaper and faster than any custom build. Honest example: most companies should just use HubSpot for email marketing if they only need basic email marketing.
2. You are validating whether AI is useful at all. Buy a couple of seats for €100-€300/month. Use them for a quarter. See if the team adopts the workflow. If yes, you have a real signal to invest in a custom build. If no, you avoided paying for a custom build you did not need.
3. The tool genuinely has unique data network effects. Apollo's contact database, Clay's data enrichment graph, Glean's enterprise search index. These products are valuable because of their data, not their AI features. You cannot build the data side, so you license it.
When Wicflow wins
SaaS sells the average. You are not average. The places SaaS breaks down for growing companies:
- Your workflow has 2 or more decision points the SaaS does not model. Example: lead routing by industry AND company size AND CRM stage AND email engagement. Most SaaS support one or two of these. We build all four.
- Your data lives in places the SaaS does not connect. Custom internal databases, niche industry tools, Finnish accounting systems (Procountor, Visma, eTasku), regulated data. We integrate. SaaS does not.
- You want to use multiple AI models depending on the task. Claude for writing, GPT-4o for vision, Gemini for fast classification, a fine-tuned model for your domain. SaaS picks one. We orchestrate.
- Per-user pricing math gets ugly past 15 people. €40/user/month adds up. A custom build is one stack, unlimited users.
- You want the system to keep evolving. A SaaS evolves at vendor pace. Custom builds evolve at your pace.
The "thin layer over SaaS" myth
A lot of AI agencies are actually thin layers over a single SaaS. They configure HubSpot for you, set up Apollo, and call it a custom build. We do not. Wicflow's custom builds start with your specific business logic and pick the right tools afterwards (orchestration tools, custom services, databases, whatever fits). The result is a system that does not depend on any single vendor surviving.
If you talk to an "AI agency" and their first answer is "we will set up HubSpot AI for you", you are buying SaaS configuration, not a custom build. That can be the right answer for your situation. Just know what you are buying.
The "agency builds you a SaaS" trap
The other failure mode worth knowing. Some agencies build you a custom system, but they build it in a way that locks you to them. Proprietary frameworks, undocumented prompts, complex code that only their team can maintain.
Our setup: everything we build runs on standard, widely used tools. Automation workflows are visual and exportable. Code is in TypeScript or Python with comments. Prompts are in plain markdown. If you fire us tomorrow, your next agency or in-house team can pick it up in a week. That is structural, not a marketing line.
Common objections answered honestly
"Custom builds break when the AI models change." So do SaaS builds. The difference: when a SaaS breaks, you wait for the vendor's fix. When ours breaks, we fix it in a day. We track model deprecations across Anthropic, OpenAI, and Google as part of the retainer.
"We will lose access if Wicflow goes away." Already covered above. Every workflow, codebase, prompt, and config sits in your accounts. We just operate them.
"SaaS has a security team and SOC 2." True. We use SOC 2 compliant infrastructure across the stack. Your data path is auditable end-to-end. We sign DPAs.
Common questions
Should we just buy HubSpot AI?
If your needs are within what HubSpot AI does natively and you have 5-15 users, probably yes. Above 20 users, or once you need custom workflows, the math flips. We can review your specific use case in the strategy call.
Can you build on top of our existing SaaS?
Yes. About 40% of our builds integrate with an existing SaaS the client already pays for. HubSpot, Pipedrive, Twenty, Notion, Slack, whatever. We build the custom logic around them, not on top of them.
What happens when AI models keep getting better?
Good. Better models mean better outputs from the same system. We swap in newer models monthly as part of the retainer. A SaaS will swap when the vendor decides to.
Can you give an example of a custom build that an off-the-shelf tool could not do?
Yes. We built an inbox triage system for a Finnish HVAC company that reads incoming customer emails, classifies them by service type, looks up the customer in the CRM, drafts a response in the technician's voice using past emails as training data, and routes the email to the right technician's queue. No SaaS does this. The HVAC company runs it for 4% of what HubSpot would charge their full workforce.
Want a honest build vs buy call?
20 minutes, your workflow, your team size. We tell you whether SaaS or a custom build is right for your situation. No pitch.
Book a strategy call →