PLData
The data layer behind AI-native companies.
We connect your business data to AI through a two-way pipeline — so decisions go up with context, and strategy comes down as action. Built for European SMEs that want to move before the enterprises do.
AI without a data layer is a tool. AI with a data layer is an operating model.
Most companies are buying AI features. The companies pulling ahead are redesigning how they operate. The difference is what sits between data and decisions — a connected layer where signals travel both ways: data flowing up through business logic to leadership, and strategy flowing down through the same logic to platforms, copy, outreach, and execution.
That's the layer we build.
79%
of enterprises have adopted AI agents
11%
run those agents in production
25%
of AI initiatives deliver expected ROI
171%
average ROI among the companies that closed the loop
The gap is not access to AI. The gap is the operating layer between AI and the business.
Being small is the competitive advantage.
European enterprises are stuck with legacy stacks, BI teams, eighteen-month procurement cycles, and quarterly governance meetings. You don't have any of that. You have fewer systems, less data debt, faster decisions, and a team small enough to actually change how it works. While Fortune 500 companies are still aligning their cloud strategy, you can have a working AI decision loop in two weeks.
Eventually. By 2028.
Cloud strategy, compliance committees, multi-team alignment, long procurement, slow operating-model change.
Working loop in two weeks.
A focused workflow, one owner, simple stack, manual approval, and a visible decision-output cycle.
Manual first. Habit next. Automation after.
We don't sell AI tools. We don't replace your team with agents. We build the layer that makes AI useful — your data, your business logic, your approval rhythm — and we hand it back to you running.
01. Data Layer.
One source of truth for the metrics that matter. Cleaned, normalized, mapped to your business — not to a vendor's schema.
02. Two-Way Pipeline.
Signals up: data passes through encoded business logic before AI reads it. Signals down: strategic decisions flow back into platforms, copy, outreach, and execution.
03. Human Approval Loop.
AI proposes. Your team decides. Every recommendation, every override, every outcome — logged and searchable.
Five stages. First working result in 14 days.
0
5 days
Diagnosis
One workflow, one owner, one question.
1
14 days
First Loop
One working decision loop, end-to-end.
2
14 days
Make it Stick
The loop becomes habit.
3
30 days
Second Loop
The pattern works twice.
4
21 days
Two-Way Translation
Operating system, not processes.
5
Ongoing
Governance & Scale
AI-native company.
You can stop at any stage and already be ahead of most of the market. The sequence matters because it starts with business rhythm before automation.
Examples from the field.
Marketing analytics for a multi-market B2B agency.
Connected six platforms (Google Ads, Meta, LinkedIn, GA4, CRM, finance) into a canonical data layer. Built dashboards plus an AI weekly interpretation loop with human approval. Reduced reporting time by 70% and surfaced two campaigns wasting 40% of spend that the team had not flagged.
Inventory and order pipeline for a European DTC brand.
Built a closed loop between Odoo (inventory + invoicing), the e-commerce storefront, and operations. Stock movements, margin signals, and reorder recommendations now travel both directions automatically, with manual approval on every reorder over a defined threshold.
Tender-to-campaign workflow for an agency operations team.
Built a Telegram-first decision layer: briefs come in, get parsed against the agency knowledge base, generate strategy drafts and media plan starters, route to humans for approval, and convert into structured campaigns. From new brief to first campaign decision: 48 hours, down from 9 days.
Free playbooks for SME leaders.
Everything we know about building decision loops, packaged into guides you can read in 10 minutes and act on the same week.
Where do you start?
Take the 5-minute Audit.
Free self-assessment. Tells you where your company sits on the AI-native maturity scale (0–5) and what the right first move is.
Start the audit →Book a Diagnosis call.
30 minutes, no slides. We discuss your current setup, the workflow worth starting with, and what a 90-day path looks like for your team. Free.
Book a call →