Your first explained incident inside 30 days.
We build the intelligence layer — you keep running the operation. Datanoetic maps your value stream, connects your data read-only, and configures the KPIs that matter to you. Full go-live in 12–16 weeks; the improvement loop never stops after that.
Why implementation is the product.
The depth of the implementation is what makes the AI intelligent about your operation.
Most software treats implementation as the inconvenience between purchase and value. For Datanoetic, the implementation is the intelligence: the map we build together and the baselines you set are what make the AI specific to your operation — not supply chain in general.
Three phases. One programme. Built with your team.
- 01
Map.
We spend structured time with your operations leads, then build the value stream map and knowledge graph of your operation — validated by your process owners at every layer.
- 02
Connect.
Read-only connections to your WMS, ERP, TMS, IoT and T&A. Every feed tested and calibrated against real data before anything goes live.
- 03
Live.
KPIs calculate continuously, DNAI™ watches every step, and your team gets its first explained incident — typically inside 30 days. From week 16, DNOVA™ turns the incident history into permanent process improvements.
The full phase-by-phase plan — deliverables, sign-offs, and what we need from your team — is walked through when we talk.
What DNAI™ answers on day 30.
'30 days to first value' is a strong claim. Here is what it looks like in practice — the same question, two answers: one generic, one grounded in your operation.
Datanoetic leads. Your team validates.
We lead every phase; your team validates and signs off — a few hours a week, tapering after the first month. No internal development or data engineering required.
Your data stays in your tenant.
- WMS wms_picks · wms_quality
- ERP erp_orders · erp_inventory
- TMS tms_shipments · tms_otd
- IoT device_events · scan_confirm
- T&A shift_roster · attendance
Your existing systems stay
Datanoetic connects to what you already use — warehouse management, ERP, transport management, IoT sensors, time and attendance. Connections are read-only. We never write to your source systems; we read from them and materialise KPI calculations inside your isolated tenant.
Your source systems on-prem SaaS
Your tenant 
DNAI™ reasoning in tenant
BigQuery layer isolated
KPI views materialised
Knowledge graph your entities
DNAI™ reasoning in tenant Your data never leaves your tenant
Every organisation runs in a fully isolated BigQuery tenant. KPI calculations, Knowledge Graph data, and DNAI™ reasoning all run inside your boundary. No cross-tenant data sharing, ever.
First Pass Yield traced
100 × AVG( fpy_flag )
Cited in · KPI Guard #147
96.4% baseline 96.2%
Every calculation is traceable
Every KPI formula shows its source column, scope filter, and refresh interval. Every DNAI™ output cites the data it used. Every KPI Guard alert carries a confidence rating and data lineage. Nothing is a black box.
Common questions.
No. Datanoetic works with the systems you already run. Nothing is replaced, and they keep working exactly as they do today. What you gain is one view of your whole operation across those systems.
The implementation builds a Knowledge Graph of how your operation actually works, validated by your own team. DNAI™ answers from it — so what you get is specific to your operation, not an industry average.
Full control. The AI recommends; your people decide. Whether it's a fix for today's incident from DNAI™ or a permanent process change from DNOVA™, nothing changes in your operation until the person responsible on your team approves it. Every recommendation shows what it's based on, so you can verify the reasoning, not just accept the conclusion.
Mid-to-large enterprises with complex, data-rich supply chains — typically organisations with multiple facilities, clients or product lines, whose systems each know part of the story but none of them shows the whole operation.
We address it before go-live, not after. Checking your data is part of the implementation: we show you exactly what's reliable and what needs attention, so you start from a baseline you can trust.
Ready to see what the first 30 days look like for your operation?
We'll scope the implementation against your specific process in a single conversation. No commitment. No generic product tour — just your operation on a sample VSM.