AI & Agentic AI
From smart AI tools to autonomous agents that orchestrate your workflows.
AI that doesn’t just answer, it executes.
Agents that read emails, process documents, query systems and take action — with human oversight where it matters. Built on your data, in your environment.
Why clients choose us
01
Autonomous, yet controlled
Agents run tasks end-to-end; you approve at the moments that matter.
02
On your data
Connected to your ERP, CRM, mailbox and documents. Not a generic chatbot.
03
Measurable results
Every run is traceable: what the agent did, why, and with what outcome.
Core features
01Agentic workflows
Task orchestration
Multiple steps and systems in one automated flow, with fallback to a human.
Human-in-the-loop
Approval points, thresholds and a full audit trail.
02Smart AI tools
Document processing
Classify, summarise and extract from invoices, contracts and emails.
Knowledge assistant
Answers from your own documentation and systems, with sources.
03Integration & hosting
System connectors
API integrations with your existing software and data sources.
Self-hosted or cloud
Models and data stay where you want them: on-premise, private or public cloud.
04Smart AI Analysis
Pattern Recognition
AI that analyzes your data, detects trends, and delivers insights faster than ever.
Personalized Output
Every interaction tailored to your customer, context, and business rules.
05Autonomous Agents
Multi-Step Workflows
Agents that orchestrate complex tasks and make decisions based on context.
Continuously Learning
Agents that adapt to your business context and get smarter over time.
06Seamless Integration
API-First
Direct connection with your CRM, ERP, and internal tools via modern APIs.
Event-Driven
Triggers based on real-time events in your systems.
■Works with OpenAI, Anthropic and open models
■Full audit trail per run
■Role-based approval
■GDPR-compliant, data stays in the EU
■Your data stays yours. Privacy by design.
■Cloud or on-premise. You choose.
■Measurable ROI from month one.
AI that works. Agents that act.
From smart analysis to autonomous agents that orchestrate workflows. We build AI that integrates seamlessly into your business processes.
01
No Black Box
Transparent AI with full audit trail and human oversight. You stay in control at all times.
02
Fits Your Stack
Direct connection with your existing systems via APIs. Not a replacement, but reinforcement.
03
Scales With You
From individual tasks to full process automation. Start small, grow without limits.
Industries
Who it works for
Wealth management
Agents prepare client reviews and check them against MiFID II rules, while the adviser and compliance officer approve.
Finance & accounting teams
Invoices, receipts and statements are read, classified and extracted on your own hardware before anyone types a field.
Sales teams
Prospect research, qualification and draft outreach are prepared from a company website before the first call.
Customer service
Agents triage the shared mailbox, look up orders in your systems and draft replies that a person approves.
Legal & compliance
Contracts and correspondence are classified and summarised, with answers that cite the source document.
IT & operations
Agents run scheduled or event-driven tasks through tool plugins, with approval gates for risky actions and cost budgets per project.
Use cases
Example scenarios
01 · Wealth management
Annual client review drafted by agents, approved by the adviser
- Challenge
- Advisers assembled each annual review from spreadsheets and PDFs: performance against the benchmark, risk drift, goal progress and a series of MiFID II checks, all compiled by hand before a compliance officer could look at it.
- Approach
- Agents work from a reconciled portfolio snapshot to draft an executive summary, flag risk-score drift outside the agreed tolerance and concentration-limit breaches as blocking findings, and pre-draft rebalance recommendations. The review only goes to the client after compliance approval, and every AI output is logged with the model used and the responsible user.
- Result
- The adviser starts from a checked draft instead of a blank page, and nothing reaches the client without a human sign-off and a traceable audit trail.
02 · Finance & accounting teams
Supplier documents classified and extracted without leaving the network
- Challenge
- The finance team received scanned invoices, delivery notes and statements in several languages and typed the key fields into the accounting system, while policy did not allow documents to be sent to an external AI service.
- Approach
- Documents are read with on-premise OCR in 129 languages, then classified into the team's own categories and their fields extracted by language models that run on local hardware. Staff verify the results in a keyboard-driven review station with the recognised words shown on the page.
- Result
- The team checks and corrects instead of typing, and the documents never leave the company network.
03 · Sales teams
Prospect research ready before the first call
- Challenge
- Sales reps spent their preparation time clicking through websites and team pages to find out what a prospect did and who decided, and qualification depended on each rep's own notes.
- Approach
- From a single URL, five analyses run in parallel and combine into a score from 0 to 100 with a recommended action. Lead qualification applies BANT and MEDDIC, decision-makers are extracted and ranked, and outreach sequences and meeting briefs are drafted for the rep to review; any cloud or local model can be used.
- Result
- Reps go into the first conversation prepared, qualification follows the same framework for everyone, and nothing is sent without the rep's review.
04 · Customer service
A shared mailbox agent with approval gates and a cost budget
- Challenge
- The customer service team read every message in a shared mailbox, looked up order and delivery status in two or three systems and wrote each reply by hand, so simple questions queued behind complex ones.
- Approach
- An agent, modelled as a visual BPMN process, is triggered by incoming messages, classifies them, queries the order systems through API connectors and drafts a reply. Sending and other sensitive actions pass an approval gate, budgets cap cost per task and per project, and every model call and tool call is written to the audit log.
- Result
- The team reviews and approves drafts instead of researching every message, and each answer can be traced back to what the agent looked up and why.
Ready for your first agent?