AI that handles what your team does manually
Document handling, approvals, data routing, email triage. We automate the repetitive work and put it into production. Not a proof of concept that dies in staging.
Call is 30 min. No commitment. We tell you honestly if it's worth doing.
What we can automate for you
Internal AI assistants
A chat interface trained on your documentation, wikis, SOPs and knowledge bases. Employees get a direct answer in seconds instead of searching through dozens of pages. We build it, connect it to your sources, and keep it updated.
- Indexes your docs, wikis, SOPs and knowledge bases — Notion, Confluence, SharePoint, Google Drive, custom sources
- Chat interface for employees — any question answered in seconds instead of searching dozens of pages
- Access-controlled by team or role — only shows content the user is allowed to see
- Stays current automatically — re-indexes when source content changes, no manual updates
Email & request routing
Incoming emails classified by intent, priority and customer type. Tickets created, CRM updated, team notified. When the system is not confident, it queues for human review instead of guessing. Works with Gmail, Outlook and custom inboxes.
- Classifies by intent, priority, and customer type — support/sales/billing/complaint handled differently from the first line
- Creates tickets and updates CRM automatically — HubSpot, Salesforce, Zendesk, Intercom, or your custom system
- Queues uncertain cases for human review — system admits uncertainty instead of guessing and getting it wrong
- Works with Gmail, Outlook, and custom inboxes — no change to how senders send, no inbox restructuring needed
Document processing
Invoices, contracts, applications, PDFs, scans. Fields extracted, documents classified, exceptions flagged, data pushed to your ERP or CRM. No manual keying, no missed fields. Typical accuracy: 95%+ on trained document types.
- Invoices, contracts, applications, PDFs, scans — structured and unstructured formats, handwritten fields where legible
- 95%+ accuracy on trained document types — benchmarked before go-live so you know the numbers upfront
- Exceptions flagged for human review — system does not guess when confidence is low, it queues for review
- Data pushed to ERP, CRM, or custom destination — JSON, CSV, direct database insert, or webhook to your system
Approval & exception workflows
Expense approvals, contract sign-offs, compliance checks. Routine cases handled automatically, edge cases escalated to the right person. Every decision logged with full audit trail. Works across any industry with defined approval rules.
- Expense approvals, contract sign-offs, compliance checks — any workflow with defined rules can be automated
- Routine cases handled automatically — edge cases escalated to the right person, not everyone on the team
- Full audit trail for every decision — who approved, what the data was, when it happened, all logged
- Works across any industry with defined approval rules — finance, legal, HR, procurement, compliance
Data extraction & enrichment
Pull data from websites, PDFs, reports or raw API responses. Transform it into structured tables, trigger alerts or feed downstream systems. Built for cases where no official API exists or the source data is too inconsistent to handle manually.
- Pulls from websites, PDFs, reports, raw API responses — handles inconsistent formats without a human cleaning them first
- Transforms into structured tables or triggers alerts — feeds downstream systems, dashboards, or data warehouses
- Built for cases where no official API exists — web scraping with intelligent parsing, not fragile CSS selectors
- Retry and error handling included — failed extractions logged, retried, and flagged rather than silently dropped
Cross-system integrations
When Zapier is not enough. Complex multi-step logic, conditional branching, retry handling and custom error recovery. We connect your internal tools, legacy APIs and SaaS platforms into one coherent automated flow.
- Multi-step logic with conditional branching — if this, then that, else escalate — more than Zapier can handle
- Retry handling and custom error recovery — failed steps are logged, retried, and routed to human if needed
- Connects legacy APIs, SaaS tools, and internal systems — REST, GraphQL, webhooks, custom connectors
- Production-grade reliability — monitoring, alerting, and full trace logs for every automated action
What we build with
We pick the right tool for the job, not the one that’s currently trending.
LLM models
OpenAI GPT-4o, Claude 3.5, Mistral, Llama 3, custom fine-tuned models
Frameworks & orchestration
LangChain, LlamaIndex, Haystack, custom Python pipelines
Document & data processing
Tesseract OCR, AWS Textract, Azure Form Recognizer, spaCy, custom parsers
Vector databases
Pinecone, Weaviate, pgvector, Chroma, for RAG and semantic search
Infrastructure
AWS Lambda, Azure Functions, Docker, FastAPI, deployed in your cloud or ours
Integrations
REST & GraphQL APIs, Zapier, Make, n8n, webhooks, custom connectors
How we build your automation
- 01
Discovery call
60 minutes. We tell you honestly whether automation will save you money, or whether it won’t. No upselling, no vague estimates.
- 02
Proof of concept
A working prototype in 1–2 weeks using your real data. You see it work before committing to full build.
- 03
Production build
Full engineering: data pipelines, error handling, monitoring, human-in-the-loop fallbacks.
- 04
Integration & testing
We connect to your existing tools, test edge cases, and document everything.
- 05
Handoff & support
Your team gets training. We stay available for 30 days post-launch at no extra cost.
Common questions
How long does a typical automation project take?
Simple integration (one source to one target): 2–3 weeks. Multi-step pipeline with custom model: 8–12 weeks. We always start with a scoped proof of concept so you can evaluate before committing to the full build.
Do you work with sensitive or proprietary data?
Yes. We sign NDAs from day one, build GDPR-compliant pipelines, and can deploy on-premise or in your private cloud if the data cannot leave your infrastructure.
Can you integrate with our existing tools?
We work with most major APIs, CRMs (HubSpot, Salesforce), project tools (Jira, Notion), communication (Slack, email), ERPs, and custom internal systems.
What if the AI makes mistakes?
Every production pipeline we build includes confidence thresholds and human-review queues for low-confidence cases. The system flags uncertainty instead of guessing.
What does it cost?
Proof of concept: €3–8K depending on complexity. Full production build: €15–40K. We give you a fixed-price estimate after the discovery call, so there are no surprises.
Do we need to provide training data?
Not always. Many LLM-based automations work with prompting and your existing documents. Custom fine-tuning is only needed for specialized domains or performance at scale.
Which manual process costs your team the most time?
Describe it briefly — we'll say whether AI automation is the right fix.
What would you automate first?
Tell us what your team does manually every day. We’ll assess what’s worth automating and what isn’t, and get back within 48 hours with a realistic opinion, not a pitch.
Describe what you want to automate →