Process Mapping
We map your ops: every handoff, every wait, every system that doesn't talk to the next. Bottlenecks and fragmented data surface on their own.
our approach
We build AI Operating Systemsfor B2B companies.
A unified data layer is what makes agentic AI succeed inside a company. We build that layer first. Then a team of agents runs on it, processes accelerate, and speed becomes sales.
process mappingai enablementagentic intelligencefaster processes · more sales
how we build
Three phases.One operating system.
AI Enablement
Most systems weren't built for agents. We develop the layer on top that lets them actually deliver value: one unified data layer, with custom ports into your ERP, WMS and files.
Agentic Intelligence
A team of specialised agents runs on that layer: importing, enriching, resolving conflicts, reserving stock. Processes accelerate, and speed becomes sales.
agentic intelligence
A team of agents to work with.A sub-agent for every pain point.
You keep using your tools: Slack, Teams, email. Behind it, specialised sub-agents work on one unified data layer, synced with your systems.
{ email · fwd: shipment notice }
“A truck with 4,000 pieces just left the supplier.”
{ scheduled · runs every morning }
“Which stock has been sitting too long? Notify sales to push what's losing value.”
{ slack · #buying }
“Supplier B offered 3,000 mixed items. Worth buying?”
{ slack · #sales }
“Quantities synced: 4,000 pieces sellable. Start offering them now.”
{ slack · #sales }
“14 slow movers flagged, sorted by value at risk. Push list ready.”
{ slack · #buying }
“Buy 1,800 of 3,000: the rest overlaps stock that's already slow. Numbers attached.”
dp-platformunified data layer
erp
custom db
wms
web
dPulses Platformaccess point
The single access point. Ask from the dPulses platform or from the tools you already use, and the right sub-agent picks it up.
case studyatlas platform
Atlas: selling goods before they reach the warehouse.
Network 360 trades B2B fashion stock: millions of items arriving as messy, multi-source supplier data (folders of images, Word documents, Excel files), sitting in warehouses waiting to be understood. We built Atlas, a unified data layer with a team of agents on top. This is what changed.
more deal value
€370k+
first 60 days after production release
po → sales offer
daysmin
time to a ready-to-send offer
barcoding process
2 min10 s
12x: barcode + labels per garment
From PO to sales offer in minutes
A sales offer with images, clean data and sizes used to take days of manual work. On the unified data layer it goes out in minutes, and rich offers convert into orders.
Idle stock becomes a confirmed order
A brand sat idle in the warehouse for months. Qualified data and photos turned it into a five-figure order, confirmed in 3 days.
12x output, never even in scope
Barcode recognition and label printing per garment dropped from 2 minutes to 10 seconds. Nobody planned this module: clean, centralised data simply made it possible.
Data outruns the truck: the stock is sellable while it's still on the road.
The goods data reaches the warehouse before the truck does.
Sales teams make offers on incoming goods, sold before they're even unloaded.