AI agents and AI solutions
that think with you.
We build AI agents, advanced chatbots and intelligent automation with Anthropic Claude, OpenAI and OpenClaw, integrated directly into your processes.
When AI adds value
Where AI agents make a real difference
AI is useful when it takes over repetitive knowledge work and is connected to the systems where that work happens. A loose chatbot rarely does that. An AI agent with access to your ERP, CRM and documents can.
- Employees spend hours reading emails, PDFs and order forms and typing the data into your systems.
- Customers ask the same questions about orders, delivery times and returns over and over again.
- Technicians lose time searching manuals and procedures in the field.
- Information is in your systems, but getting an answer requires a report request or an Excel export.
What we build
Four ways AI makes your business smarter.
Autonomous AI Agents
Purpose-built agents for multi-step workflows such as order intake, document analysis, scheduling, anomaly detection and decision routing.
Customer Support Chatbots
Support bots trained on your product knowledge, connected to CRM and order systems, and able to escalate intelligently.
Expert Field Support
AI copilots for technicians and specialists with manuals, troubleshooting flows, part identification and safety protocols.
AI in Existing Software
Natural-language data queries, automated reports, smart document intake and anomaly detection inside your ERP, CRM or platform.
OpenCLAWS
Claude · OpenAI · Agents · Harnesses · Tool calling
We use OpenClaw to build AI agents that connect language models to tools, data and real business workflows.
// route a real operational request
const agent = openclaw.agent({
model: "claude-fable-5-1",
fallback: "gpt-6-astra",
tools: [erp, crm, documents, email],
memory: customerContext,
guardrails: ["pii", "approval", "audit"]
})
await agent.run("Create work order + notify planning")Intent
work_order.create
Model
Claude Fable 5.1
Tools
ERP · CRM · Files · Mail
Guardrail
human approval required
Real examples
What AI looks like in practice.
Wholesale & Retail
Inventory Intelligence Agent
An agent monitors stock levels, demand patterns and events, then proposes purchase orders with clear justifications.
Industrial Services
Field Technician Copilot
Engineers query manuals and safety procedures in natural language from mobile devices.
ERP users
Natural Language ERP Interface
Ask operational questions in plain language and get instant tables, summaries and exports.
How we work
From idea to production in five steps.
Discovery
We map the process and identify where AI adds real value.
Architecture
Model choice, tools, data flows and integration points are planned upfront.
Build & test
Rapid iteration with realistic data, edge cases and failure modes.
Integration
Connection to ERP, CRM and databases with audit logging.
Go live + tune
Monitored deployment with feedback loops and continuous improvement.
We build with leading AI models
Anthropic
Claude models for reliable, safe deployments
OpenAI
Reasoning and multimodal capabilities
Costs & timeline
What does an AI agent cost?
The cost of an AI solution consists of development and usage. Development depends on the number of systems the agent works with and how much control is needed. Usage costs depend on the model and the volume of requests. We usually start with a focused proof of concept on real data, so you see the result before scaling up.
Scope of the task
A single, well-defined task such as invoice intake is smaller than an agent that handles complete workflows.
Integrations and tools
Each system the agent may read from or write to needs a secure, logged connection.
Quality and control
Testing with edge cases, guardrails and approval steps determine how reliably the agent works.
Model usage
Model choice and request volume determine the monthly running costs.
After go-live we monitor the results and keep tuning prompts, tools and models, so the solution keeps improving.
FAQ
Frequently asked questions about AI agents and AI solutions
What is an AI agent?
An AI agent is software that uses a language model to understand a task and then carries out steps with tools: looking up data, creating a work order, drafting an email or updating a record. Unlike a chatbot, an agent does not only answer, it acts within the limits you set.
What is the difference between an AI agent and a chatbot?
A chatbot answers questions in a conversation. An AI agent can also take action in your systems, follow multi-step processes and escalate to a person when needed. Many projects combine the two: a chatbot for customers, backed by an agent that checks order status in your ERP.
Which AI models do you use?
We work with models from Anthropic (Claude) and OpenAI, and use OpenClaw to connect them to tools and data. We choose the model per task based on quality, speed and cost, and can switch models without rebuilding the solution.
Can AI work inside our existing software?
Yes, that is where it adds the most value. We integrate AI into your existing ERP, CRM or platform, for example for natural-language data queries, automated reports or smart document intake.
How do you prevent mistakes and protect our data?
We build guardrails into every solution: the agent only gets the permissions it needs, sensitive data is filtered, important actions require human approval and everything is logged. As an ISO 27001:2022 certified company, we apply the same security standards to AI as to the rest of our software.
Ready to make your software smarter?
Tell us about your process and we will show you where AI can help.