AI embedded in the systems you already run.
We take your project, build the solution into your own systems and hand it over, with a person in control at every step.
A Danish specialist travel agency measured the time on a proposal in a May 2026 pilot: 12 minutes against 40.
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01 Audio/WER
Audio Source discovery_call_084.wav (24:18)Cleaned transcription about 50% lower WER in a testNoise Cleansing Hesitations & pauses stripped
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02 Extraction
destination “Kenya & Tanzania Safari”travellers “2 adults, 1 child (9 yrs)”budget_cap “10,000 – 12,000 EUR”special_requirements [“Accessible lodge”, “Full board”]travel_window “Week 42, 2026”Validation 5 of 5 key fields structured
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03 Time on proposal
Target System HubSpot / Custom Travel CRMProposal ID #PROP-2026-084Total Quote 11,350 EUR (Within budget)Transcription check Pass or fail in about 12 seconds on averageTime on a proposal (measured) About 12 minutes against about 40
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04 Audit Check
Budget Constraint ✔ 11,350 <= 12,000 EURAccessibility Check ✔ Lodge wheelchair verifiedWindow Match ✔ Departure Week 42 validatedGated Autonomy ⚡ Awaiting human sign-offSystem Boundary No dispatch without human review
Are you being pitched AI from every angle without clarity on what actually drives bottom-line return in your operational reality? Most companies start here. We isolate precisely where automation saves billable hours and eliminates costly oversights—and where technology is simply an expensive distraction.
Client Reference & Technical White Papers
High-Speed Personalised Travel Proposals
Travel specialists spent up to 40 minutes per client drafting custom quotes from complex discovery calls. The cleaned transcription had about 50% lower Word Error Rate (WER) than the supplier’s standard transcription in a test, raw audio was cleaned and structured into CRM parameters, a QA check compared the prepared material against the customer call with mitigations, and the system drafted an email proposal in the voice of the consultant and the agency for review.
- Time on a proposal in the CRM, measured in the pilot
- 12 min (vs 40)
- WER in a test against the supplier’s standard
- ~50% WER
- Human sign-off before dispatch
- 100% control
- Proposals compared in the pilot measurement
- 25 + 25
In the May 2026 pilot, 25 proposals with the solution were measured against 25 without. The result covers one travel agency and is a measurement, not a promise.
Before dispatch, a QA check compares the prepared material against the original customer conversation, with mitigations for potential discrepancies, so the consultant reviews the draft before it is sent.
What may the AI do on its own?
A methodical analysis of hard system boundaries, risk levels, and Gated Autonomy: Why AI drafts while human specialists retain final sign-off authority.
From Conversation to CRM Data
How unstructured customer consultations can be converted into actionable CRM records under strict EU GDPR compliance without data leaks.
AI agents: from hype to your first solution
You keep hearing about agentic software development: Claude Code, Codex and other agent tools that write code, process documents and run whole workflows. It sounds like everyone else has started. Which projects make sense for you, who stays in control and what it costs are not obvious. We work that out with you, and you stay in charge throughout.
- We start with the project where there is the most to gain. Not a rebuild. We find a workflow you already run by hand every week.
- We build the solution into your existing systems. It goes into the CRM, ERP or the tools you already use. Not another platform beside them.
- You stay in control, and your people take over. The system produces drafts and proposals. A person signs them off, and we hand over the solution so you can maintain it in house.
We work with agent tools daily, including Claude Code, Codex and Oh My Pi, orchestrate several model tiers, and publish work on GitHub. We helped a self-employed architect replace her AI automations with a solution built on Claude Code and Cowork.
The same approach sits behind the specialist travel agency CRM case, where the time on a proposal in a May 2026 pilot was measured at about 12 minutes against about 40.
See how an implementation works
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What can be automated in your systems?
Answer 4 quick questions about your core systems, data requirements, and use cases. We will review your setup and return with a tailored technical assessment and proposal for a conversation.
Mange tak for din henvendelse!
Vi gennemgår dine input og vurderer den tekniske gennemførlighed og ROI for jeres systemer. Kristian vender tilbage inden for 24 timer på hverdage med en skræddersyet vurdering og forslag til en uforpligtende afklarende dialog.
Vi har desuden sendt vores governance-guide ‘Hvad må AI gøre selv?’ til din e-mailadresse som baggrundsviden.