Connect AI
with your
company's tools.
From document to answer or system entry. We design the flow with validation and approvals where needed.
From information to action.
We connect the tools your team currently switches between.
Document → data
Extracting information, structuring fields and flagging missing details for review.
Query → answer
Gathering context and drafting an answer an employee can review.
Result → system
Connection to your CRM, case workflow or app through an available API or MCP.
We confirm connection feasibility and the scope of permissions before implementation.
How does working together look?
One process. Four clear stages.
- 1
Consultation
We learn about the task, tools and expected result.
- 2
Project
We choose the solution, data sample and acceptance criteria.
- 3
Implementation
We connect and test the agreed scope, then hand it over to your team.
- 4
Development
We assess quality, time and cost, then agree ongoing maintenance.
Automation beyond ecommerce.
Documents and cases
Extract selected fields, flag missing information and route a case to someone with the required permissions.
CRM and enquiry handling
Organise incoming enquiries and prepare a response or record for review.
Operational systems
Move data between applications through available APIs, with validation and handling of unconfirmed outcomes.
Tools and MCP
Expose selected operations to an assistant: separate reading, proposal preparation and authorised execution.
Questions before you start
How is AI integration different from a standard chat?
Integration connects the model to selected company data and tools. It can retrieve knowledge, process a document or prepare a system record. It also covers permissions, validation, costs and error handling. Access to a chat alone does not provide this process.
Where should we start with AI in our business?
Start with one repeatable task, available data and a result you can verify. During our call, we establish the current workflow, the expected change, the process owner and the tools. Prepare an anonymised document or request sample, the name of the target system and a description of a correct result. You do not need a finished technical specification or to submit passwords through the form.
Can we connect AI to our CRM or app?
We review the available APIs, documentation, permissions and the system provider's terms. We then confirm a feasible scope. If the system does not offer a suitable connection, we propose a limited option or identify the dependency before quoting for implementation.
Does company data have to go to an external cloud?
We choose the architecture after reviewing your data and requirements. The solution can use a cloud service or a local model. A local setup requires assessment of hardware, response quality, administration and cost; running a model on-site does not resolve every access and security issue.
How do you reduce incorrect AI answers?
We agree knowledge sources, validate the result and test representative cases, including missing data, denied access, API errors and retries. We design handover to a person when data is missing, and approval before significant actions. Acceptance covers the agreed process and set of cases, not every possible model answer. We do not promise to eliminate model errors entirely.
What does implementation and ongoing operation cost?
The quote depends on the process, integrations, data and requirements. We separate implementation work from the costs of models, licences, infrastructure and maintenance. We agree their scope and billing before starting each stage.
Which process can we start with, and how do we measure the result?
One example is structuring an incoming request: reading from a selected source, suggesting contact details, employee review and only then saving to the CRM. This is an example scope, not a description of a specific client. Before implementation, we agree required fields, permitted sources, the approver, duplicate handling and execution cost. We compare the result with the current process using agreed examples, instead of promising savings without measuring them.
Do we need a new website or online shop first?
Not always — integration can use existing tools where their APIs and permissions allow it. If a new website is the planned entry point, see websites for businesses. We cover online sales separately in our WooCommerce implementations, with regular website maintenance covered by WordPress support. We can work together remotely — check our service area.
Do you also automate online shops?
Yes, we offer a separate scope for shops covering e-commerce processes. Explore AI automation for online shops. This page covers integrating AI with processes and systems across your business.
Let's discuss what AI can do
in your business.
Describe the task. We will choose a sensible first step.