We are Gumlooper. Build AI Agents using Gumloop.
We build AI agents that work around the clock. Event-triggered, schedule-driven, or activated by your team — agents that scale with your operations.
Our Services
Who this is for?
$500K-$5M revenue organizations
Operations teams running manual, repeatable workflows
Legacy systems that need AI integration, not replacement
Ready to deploy autonomous AI agents — not just chatbots
Regulated industries needing GDPR compliance
Multi-market teams operating in English, or French
What you get?
2–3 production AI agents
Real-time monitoring dashboard
Usage analytics and reporting
24-hour Slack support channel
Human-in-the-loop review workflows
Monthly strategy and expansion calls
Is your organization ready for autonomous AI?
We build AI agents that work around the clock. Event-triggered, schedule-driven, or activated by your team — agents that scale with your operations.
Our Tech Stack
Our Story
Most organizations don’t have an AI problem — they have an execution bottleneck.
Teams are buried in repetitive workflows. Data sits across disconnected systems. Automation exists, but it’s fragmented, brittle, and hard to scale. Meanwhile, leadership expects AI-driven efficiency — not experiments.
That’s where Gumlooper comes in.
We are Gumlooper. We design and deploy production-grade AI agents using Gumloop — not prototypes, not demos, but agents that integrate directly into your operations and run continuously.
These agents don’t just respond — they act.
They trigger on events, run on schedules, or activate when your team needs them. They connect with your existing systems, follow defined workflows, and operate within compliance boundaries.
We focus on a specific segment:
Organizations between $1M–$50M in revenue that want real operational leverage from AI, without replacing their entire tech stack.
Our approach is simple:
Augment, not replace
Automate, but stay controllable
Scale, without increasing headcount
The result:
AI agents that work 24/7, reduce manual effort, and create measurable operational efficiency.
Frequently Asked Questions
What exactly is an AI agent in your context?
An AI agent is a system that can execute tasks autonomously based on triggers, workflows, and decision logic. Unlike chatbots, our agents take actions—such as updating systems, processing data, sending communications, or coordinating workflows.
How is this different from traditional automation tools?
Traditional automation is rule-based and rigid.
Our AI agents combine:
Workflow automation (Gumloop)
AI reasoning (Claude Code)
Tool orchestration (MCP)
This enables adaptive, context-aware automation, not just predefined scripts.
Do we need to replace our existing systems?
No.
We integrate with your current stack — CRM, internal tools, databases — and build AI agents on top of your existing infrastructure.
How long does it take to deploy?
Typically 2–4 weeks to deploy your first set of production-ready AI agents, depending on complexity and integrations.
What kind of workflows can be automated?
Common use cases include:
Operations workflows (data processing, reporting)
Customer lifecycle automation
Internal approvals and task routing
Multi-system data synchronization
Compliance and audit workflows
How do you ensure reliability and control?
We include:
Real-time monitoring dashboards
Human-in-the-loop review checkpoints
Usage analytics and reporting
This ensures agents are observable, controllable, and auditable.
Is this secure and compliant?
Yes. We design for compliance with:
GDPR
We ensure data handling, storage, and processing meet regulatory standards.
What support do we get after deployment?
You receive:
24-hour Slack support channel
Monthly strategy and expansion calls
Continuous optimization recommendations
How do we know if our organization is ready?
You’re a strong fit if:
You have repeatable, manual workflows
Your teams rely on multiple disconnected systems
You want AI outcomes, not experimentation
You need scalable automation without hiring more staff
What makes Gumlooper different from other AI consultancies?
Most consultancies focus on:
Chatbots
Proof-of-concepts
Generic AI implementations
We focus on:
Production AI agents
Operational integration
End-to-end workflow automation
Powered by a stack most others don’t combine:
Gumloop for visual workflow automation
Claude Code for AI-native development
MCP for seamless tool integration