Model APIs
Depending on the task, we evaluate the OpenAI API, Claude API (Anthropic), Gemini API (Google), and xAI API.
AI agents and business process automation
AI agents that work
inside your business.
We design and deploy bots and AI agents that find the information they need, help your team make decisions, and carry out approved actions in the systems you already use — CRM, ERP, email, documents, databases, and internal APIs.
- OpenAI
- Claude
- Gemini
- Grok Bot
- OpenClaw
- Copilot Studio
- n8n
- MCP
(01)
What we automate
Start with the business problem. Each path leads to a small, safe first step with clear measures — not an “agent for everything.”
- 01 AI agents for business For multi-step work that needs context, approved tools, decisions within clear limits, and human sign-off for high-impact actions.
- 02 Business process automation For cutting delays, manual data entry, and repetitive steps across documents, email, CRM, reporting, and administration.
- 03 Internal systems integration For connecting AI safely to CRM, ERP, email, documents, databases, APIs, webhooks, and Model Context Protocol tools.
- 04 Process assessment For teams unsure where to begin: a process map, starting measurements, risk boundaries, a pilot plan, and testable success criteria.
- 05 Corporate AI training Practical workshops for leaders and teams: safe AI use, use-case selection, and hands-on work with one real business process.
(02)
The right tool for each process
A model, an AI agent, and an automation platform do different jobs. We choose the right mix based on your current systems, data, permissions, process complexity, and required oversight.
AI assistants and agent tools
For assistants and agent products, we evaluate ChatGPT Work, Grok, Grok Bot, and the open-source OpenClaw, which runs on your own infrastructure or devices.
Frameworks and SDKs
For custom agents, we evaluate the OpenAI Agents SDK, Claude Agent SDK, and Google’s Agent Development Kit (ADK).
Workflow platforms
For orchestration, we evaluate n8n, Microsoft Copilot Studio, Zapier Agents, Make AI Agents, and the UiPath Platform for each project.
System connections
Existing connectors may be used when they fit. For authorised internal tools, we can design connections through REST APIs, webhooks, function calling, and the Model Context Protocol (MCP), subject to platform support and permissions.
Final selection depends on a technical assessment, licensing, permissions, data governance, and platform constraints. Product names identify potential technologies and integration targets; they do not imply partnership, certification, vendor endorsement, or guaranteed compatibility.
(03)
Where AI agents save time
Email and requests
Read, classify, retrieve context, draft a response, and route each request to the right person.
Sales and CRM
Qualify leads, enrich records, summarise conversations, create tasks, and prepare follow-up for review.
Documents and finance
Extract invoice and order data, check business rules, reconcile records, and prepare entries for review.
Internal knowledge
Answer employees’ questions using approved policies, procedures, and documents, with links back to the source.
Support and appointments
Triage requests, check availability, schedule appointments, and escalate complex cases to a person.
Reporting and data
Collect information across systems, check discrepancies, and produce recurring summaries and alerts.
(04)
How to deploy AI agents safely in your company
Choose one process
Start with repeatable work that has a clear input, output, owner, and measurable time or cost.
Connect the right systems
Map data sources and actions, then choose the model, agent product, or workflow platform that fits your environment.
Set the boundaries
Use least-privilege access, human approvals, action logs, test cases, and a safe exit when the agent is uncertain.
Pilot and measure
Measure cycle time, errors, and manual effort. Expand to the next process only after the pilot works reliably.
The best bot is not the one with the newest model. It understands your process, has only the permissions it needs, asks for approval at the right time, and reliably completes work you can measure.
(05)
AI agent questions
What is the difference between a chatbot and an AI agent?
A chatbot mainly answers questions. An AI agent can use tools, retrieve data, and perform pre-approved actions in business systems, with rules, logs, and human approval when needed.
Can an AI agent connect to our CRM, ERP, or database?
It can when the system provides a supported connector, API, webhook, or MCP server and the required permissions are available. We assess data access, security boundaries, and monitoring before connecting it.
Which AI agent platform is best for our company?
The choice depends on the process, systems, licences, data, and level of control. n8n is an AI workflow automation platform, while OpenClaw is an open-source AI assistant that runs on your own infrastructure or devices and requires stronger boundaries and operational oversight. Microsoft Copilot Studio often fits Microsoft 365 environments, while Zapier Agents or Make AI Agents may fit common SaaS integrations.
How do we deploy an AI agent safely?
We start with one measurable process and least-privilege access. High-impact actions require human approval, important actions are logged, and the pilot is tested and monitored before expansion.
What should we automate first?
A good first candidate is frequent, repetitive work that consumes measurable time, has accessible data, and carries manageable risk. Email, documents, CRM updates, and recurring reports are often better starting points than one broad “agent for everything.”
What does AI automation cost, and how do we measure return?
Cost depends on the number of systems, API availability, process variability, risk, and volume. We scope the pilot after mapping the steps, and measure return through cycle time, manual effort, errors, and response time. Licenses and model usage are estimated separately. Use the AI agent cost and ROI guide with your own inputs.
Where is data processed, and can the solution run in the EU or be self-hosted?
Processing location depends on the selected provider and architecture. We assess EU regions or self-hosting, data retention, access permissions, contractual obligations, and applicable compliance requirements for the specific solution.