An MVP before a roadmap
The first version should solve one problem: a report, SEO routine, follow-up, CRM step, or store check.
- single use case
- verifiable output
- fast scaling decision
AI Agents
A self-managed AI agent built around work your company actually needs to do.
Forcelab helps SMBs move from curiosity to everyday usage: we start with an MVP, connect it to your tools, and hand it over to the team with practical training.
How it works
How we start
The goal is not to buy AI. It is to choose work that is small enough to start now and useful enough to scale if it performs.
Existing data and tools
You do not need to rebuild everything. The agent can start from GA4, Search Console, Shopify, CRM, spreadsheets, email, documents, or internal knowledge bases.
- GA4 and GSC
- Shopify and CRM
- files and knowledge bases
Control stays with the internal team
The preferred model is self-managed: the agent is yours, the team operates it, and Forcelab stays available for technical and method support.
- training
- documentation
- light support
Related pages
Agents, marketing, and applied cases
These pages go deeper into ecommerce, operational marketing, CRM, and work that has already produced visible results.
AI agent for ecommerce
AI agent for ecommerce and Shopify teams: small MVP across content, SEO, GA4, Search Console, Ads, or store operations, with team handover.
Open page
AI agent for marketing
AI agent for operational marketing: MVP across SEO, content, analytics, newsletters, or paid, with setup, training, and internal operation.
Open page
AI automation and CRM
AI automation and CRM for SMBs: small MVP across lead flow, pipeline, follow-up, n8n, and integrations, with team handover.
Open page
AI case studies
AI case studies and real-world results: organic growth, ecommerce execution, automation, and operational support for growing companies.
Open page
How it works
The typical path
We lower risk by starting with a small first version. Then we decide whether to keep it as is, improve it, or add more workflows.
1. Use case selection
We identify a workflow where AI can help now without waiting for a full company transformation.
2. Agent MVP
We build routines, prompts, tools, data sources, and guardrails. The agent must produce work the team can use.
3. Team handover
We show the team how to use, check, and improve it. Day-to-day operation moves to the client when the workflow is clear.
4. Support and scaling
Monthly support fixes issues, adds capability, and helps decide whether another agent is worth building.
Pricing
Pricing for a small start
The model is designed for companies that want a serious first step without committing to a heavy project upfront.
AI agent MVP
990€starting one-off
We define one use case, build the first version of the agent, and test it on a real company workflow.
- well-chosen use case
- first working routine
- initial handover
Internal operation
150€per month
Your team runs the agent. The monthly fee covers infrastructure, a base token allowance, and 1 hour of Forcelab support.
- infra and token baseline
- 1h included support
- client control
Managed service
750€starting per month
If the team is not ready to run it yet, we can manage the agent while preparing the internal handover.
- transition period
- review and supervision
- team handover
All prices exclude VAT. Extra token usage is billed separately. Heavier workloads, voice systems, or broader scopes start from these levels and grow with the amount of work involved.
FAQ
FAQ
Does the agent work on its own?
Not at the beginning. The first MVP prepares outputs, analysis, or tasks inside a clear scope. The team reviews, corrects, and decides when more autonomy makes sense.
What does self-managed mean?
Forcelab builds the agent, routines, connections, and instructions. The client then operates it internally. The fee covers infrastructure, a base token allowance, and 1 hour of support per month.
How large should the first agent be?
Small. It is better to start with one routine, such as a report, SEO pipeline, CRM follow-up, or Shopify check. If it works, we add capability.
Contact
Want to know whether an AI agent would be useful for your team?
Send us your stack, team, and the first workflow you want to improve. We will reply with a possible MVP and what your team needs to operate it internally.