Automation that removes repetitive work — not people’s jobs
Retyping orders, searching price lists and repeating forms are jobs for machines. We automate your real processes and systems, with people keeping judgment and control.
Repetitive work doesn't just cost time. It drains capacity and know-how.
These recurring problems come from real companies, with an impact measured in hours and money.
The order arrives by e-mail and someone retypes it
A wholesaler's back office entered orders and attendance by hand, item after item, creating avoidable work and errors.
A process engineer spends hours creating near-identical items
A machine shop manually created 15–25 assemblies, or 70–120 Helios items, every week from drawings and repeated standards.
A salesperson clicks through exports to find a price
Sales searched K2 and Excel for dimension, material, colour and price combinations, risking stale data with every query.
Management signs off, but doesn't know who saw the document
Contract approvals ran through e-mail without an audit trail, leaving management unable to prove who reviewed each document.
Five areas where technology handles routine better than people
We solve five common types of operational bottleneck.
Transactional — data that gets retyped
Extract attachments, sync CRM and ERP, create records and generate quotes — including e-mail-to-order workflows.
Knowledge — answers hidden in documents
Answer questions across PDFs, Excel and drawings in natural language, always with the source.
Reporting — numbers people are waiting on
Bring ERP and warehouse data into one executive view without manual assembly.
Communication — questions that keep coming back
Handle recurring web, e-mail and WhatsApp inquiries 24/7, escalating only what matters.
Monitoring — deadlines and deviations that slip through
Detect deadlines and process deviations early, while leaving decisions to people.
Four phases that protect you from an expensive mistake
We start with today's process cost, then prove each next step on real data.
1. Analysis — measure today
We map inputs, handoffs and duplicate work, then establish time, cost and quality baselines for the business case.
2. Pilot — prove it on real data
A live prototype tests actual documents. For one machine shop, we first audited 5–10 drawings because layout affects reliability and price.
3. Implementation — connect systems and roles
We integrate existing systems, data, approvals and decision points so the solution becomes part of daily operations.
4. Support — operate, measure and tune
We run and improve the solution after launch. One K2 engagement included two years of hosting and a source-code buyout option.
Choosing what to automate — and what to leave to people — takes real expertise
Reliability depends on where automation stops and human judgment remains in control.
We exclude unreliable machine reading
For complex drawings, OCR reads only dependable title-block and bill-of-material fields — not ambiguous dimensions.
What only a person can see stays with a person
An engineer enters sheet thickness or bend count in a PDF dialog; verified data then creates the ERP structure.
Realism is part of the contract
Plans account for ERP-data delays, holidays and client dependencies instead of relying on unrealistic dates.
The agent recommends, the person decides
AI prepares the work and hands over every judgment or accountability point.
The agent creates; the engineer fine-tunes
It builds the item structure and carries over standards; the engineer checks only what needs judgment.
The system records; the person signs
Contract workflows log review and approval, but the electronic signature remains human.
It alerts, but doesn't decide
The AI layer flags deviations; a person decides what happens next.
We connect to what you have. We address security from the start. And we always measure.
We build on existing systems, design security in and measure every solution against a baseline.
We build on your systems
We connect K2, Helios, Business Central, SharePoint, M365, accounting, PDM/CAD, e-mail and WhatsApp using the right orchestration layer.
Security starts in the design
Encrypted data, GDPR controls, on-prem options and clear AI-use rules support sensitive and regulated work.
Every solution has a business case
We measure time, transaction cost, quality, errors and capacity. Typical payback is 3–12 months.
A manufacturing company: how we built an agent that creates ERP items for the process engineer
Starting point: hours of routine every day
Engineers manually created 15–25 assemblies, or 70–120 Helios items, each week from PDF, DWG and DXF files.
Initial audit of real drawings
We reviewed 5–10 PDFs before quoting, then piloted one customer with a consistent title block.
A deliberate decision: what to read and what not to
OCR reads reliable title-block and bill-of-material fields; complex dimensions remain with the engineer.
The agent creates the structure and standards
It finds similar ERP items, creates the component structure and carries over routing and time standards through the Helios API.
Human-in-the-loop where the person decides
A PDF dialog captures ambiguous values such as sheet thickness or bend count before verified metadata enters Helios.
Phasing and result
Phase one covers manufactured items; phase two adds purchased and standard parts. The engineer now checks only what needs human judgment.
Got a process that's eating your people's time?
Tell us which tasks keep repeating in your company. We'll design a solution and calculate the business case.