WeAdapt builds AI agents that execute tasks autonomously — from research and lead follow-up to content creation and reporting. First agent live within 4 weeks, not 6 months.
AI agents take over tasks that structurally eat time — without you needing to be involved every time.
Which tasks should the agent execute autonomously? WeAdapt analyses the scope, determines what's feasible and chooses the right approach — whether that's a simple task agent or a complex orchestration system.
WeAdapt builds the agent in Claude Code, n8n or another platform — depending on the complexity and your existing tools. Every step is transparent and you stay in control.
The agent connects to your tools: CRM, email, Slack, databases. Not a standalone tool, but part of how your team already works.
The agent runs independently, reports back what it has done and adapts when tasks change. WeAdapt remains available for extensions.
AI agents can today independently research, write, decide, and execute. The possibilities are broad and grow every month.
WeAdapt translates those possibilities into what's relevant for your situation. We know the landscape, weigh the options, and choose the approach that works.
WeAdapt builds structured agent environments within Claude. Think projects with custom skills, instructions, and tools — so multiple agents work together as one system. The most powerful approach for complex, custom assignments.
For agents that need custom logic, data processing, or direct API connections. Fully flexible, no platform dependency. The foundation beneath much of what WeAdapt builds.
Ideal when the agent needs to work alongside existing tools and workflows. Visual, customisable and without lock-in. Suited for agents that need many integrations.
For use cases where speed and simplicity come first. Make connects hundreds of apps without code. Suited when the agent needs no complex decision logic.
More clients means more work, but you don't want to grow by adding headcount. There has to be a smarter way.
The real strategic work never gets done because execution takes all the time. That can change.
You know it could be smarter, but an internal project to fix it never happens.