Process and data
We pick one repeating process and assess which data the AI will have access to. If SharePoint permissions are a mess, we fix those first.
AI that solves specific tasks in your industry, with access rules, logs and data that never leaves the EU. We have written up solutions for 14 industries, deploy Copilot, Claude and ChatGPT, build agents and assistants, and host private models on our own GPU cloud in Lithuania (EU).
Built for ISO 27001NIS2 DORA
AI is useful to a business when it saves a specific amount of working time or removes a source of errors. So we start not by choosing a tool but by asking which processes repeat, take the most time and are well enough defined to hand to a machine. And then the second question most people skip: once AI has access to your files and systems, will it see only what it is supposed to see?
We are an IT and security provider that deploys AI, not an AI agency trying to understand your IT. That means we switch on Copilot only after fixing SharePoint permissions, give agents the least privilege they need plus logs, and host private models on our own GPU cloud in Lithuania (EU). We work with three platforms, Microsoft 365 Copilot, Claude and ChatGPT, and choose by task, not by marketing.
For each industry, 3-5 specific solutions we deploy most often: what enters the system, what the AI does, and where a person approves.
Enquiry assistant, quote drafts from HubSpot or Pipedrive, CRM updates after meetings.
Orders from PDF into Business Central or Monitor ERP, documentation assistant, nonconformance classification.
Orders from Excel and your EDI provider into SAP Business One, B2B customer assistant, price lists by customer group.
Front-desk assistant, discharge summaries from Cliniko or CGM on private AI, health insurance billing documents. No diagnoses.
KYC documents with Onfido or Sumsub, complaint classification under DORA, rules assistant.
Summaries of Bloomberg and LSEG research with sources, client report drafts, compliance monitoring.
Applications into Soft4Leasing, cross-checking Experian and vehicle registry data, contract drafts, customer assistant.
Contract review in Word, case search with sources from Clio and Westlaw, drafts of procedural documents, client intake.
Purchase invoices into SAP Business One, Sage or QuickBooks Online, client document collection, bank statement reconciliation, e-invoicing and tax reporting checks.
Orders from Trans.eu and email into CargoWise, CMR recognition, dispatcher assistant in Teams.
Comparing subcontractor bids against the CostX estimate, project document assistant, cross-checking completion certificates in Buildxact.
Product descriptions into PrestaShop or Shopify, customer assistant with SAP Business One stock levels, returns analysis.
Reservation assistant on Messenger, analysis of Google reviews, supplier invoices from Lightspeed into accounting.
Booking assistant, parts search in TecDoc by VIN, work orders in Tekmetric from mechanics' notes.
Four kinds of service, each described under each platform.
Often two together. The table shows where we start.
| Microsoft 365 Copilot | Claude | ChatGPT | |
|---|---|---|---|
Best for | everyday work in Office apps and Teams | document analysis, code, agents with an API | broad employee use and Custom GPTs |
Where it runs | in your Microsoft 365 tenant | Anthropic API or Amazon Bedrock in an EU region | on the OpenAI platform, with EU data residency available |
Agents | Copilot Studio, Power Automate | Agent SDK, MCP, tool use | Agents SDK, function calling |
Training on your data | no | no (commercial plans and API) | no (Business, Enterprise, API) |
Licensing | per user | usage-based or per user | per user or usage-based |
Private model in your environment | – | via Bedrock in the EU | none; alternative: open models on our GPU cloud |
Order in the IT estate first, then AI. We can carry out every stage ourselves.
We pick one repeating process and assess which data the AI will have access to. If SharePoint permissions are a mess, we fix those first.
We choose the platform, configure access, logs and approval steps, and write AI usage rules for employees.
We deploy to a pilot group, test with historical cases, and measure accuracy and time saved before scaling up.
We extend to other processes, monitor usage and risks, and report every month. AI systems fall under the same monitoring and backup as the rest of the infrastructure.
With a conversation about processes, not technology. One session usually produces a shortlist of two or three candidates: processes that repeat, take time and can be described.
No. We use only business plans and APIs in which data is not used to train models, and we choose where it runs (your Microsoft 365 tenant, Amazon Bedrock in the EU, OpenAI with EU storage, our GPU cloud) according to your requirements.
Usually not. We connect AI to what already works, such as Microsoft 365, SAP Business One, your CRM and file storage, through integrations rather than by replacing systems.
A small, clearly defined process is usually automated within 2-4 weeks. A broader rollout depends on the number of integrations.
Yes. The team holds ISACA and PECB certifications in AI security and risk and an NVIDIA AI operations certification, and AI deployments are audited under the same processes as the rest of the infrastructure.
This service is delivered by specialists with valid international certifications. Their expertise is confirmed by independent organisations, not by us.
AI systems are deployed with protection against data leakage and model abuse.
The AI security programme and its controls are managed following the ISACA methodology.
AI risks are identified and managed like any other IT risk.
GPU infrastructure and AI workloads are operated following NVIDIA practices.
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