We build the intelligence layer. You run the operation. And DNOVA™ keeps improving it.
Datanoetic's professional services team maps your VSM, connects your data, and configures your KPIs. By day 30, Datapro-V™ and DNAI™ are live on your operation. By week 16, DNOVA™ is turning the continuous insight stream into validated process improvements — permanently raising your performance baseline.
Why implementation is the product.
The depth of the implementation is what makes the AI intelligent about your operation.
Most enterprise software treats implementation as a necessary inconvenience between purchase and value. Datanoetic is the opposite. The implementation is the product — the VSM we build together becomes the foundation every KPI runs on; the Knowledge Graph we construct captures the intelligence about how your operation actually works; the baselines we agree become the standards DNAI™ monitors against.
A Datanoetic implementation cannot be skipped, shortened, or self-served. That is not a limitation — it is what makes the AI intelligent about your specific operation rather than supply chain in general.
A typical implementation runs 12–16 weeks from kick-off to go-live. By day 30, Datapro-V™ and DNAI™ are live — your first real operational question answered, your first deviation caught before escalation. By week 16, all three modules are live. DNOVA™ begins its first analysis cycle — identifying patterns across the first 6–8 weeks of DNAI™ incident data and generating its first set of process improvement proposals for your team to review and approve.
Seven steps. One programme. Built with your team.
- 01
Weeks 1–2 · Define
Discovery
The Datanoetic team spends structured time with your operations leads to understand your process, your pain points, your data landscape, and what "good" looks like for your business. This is not a tick-box exercise — it is a genuine collaborative exploration of how your operation runs, where value is being lost, and what the highest-priority process scope is for the implementation.
Deliverable you sign off on
Agreed scope document Which processes, which org units, which facilities are in scope for Phase 1. Which processes, which org units, which facilities are in scope for Phase 1.Led by
- Datanoetic founder
Your involvement
- Operations director
- Supply chain lead
- 02
Weeks 2–5 · Map
Process Mapping (VSM)
Together, we design the Value Stream Map for your operation. We map every step, every flow, every handoff — naming nodes, assigning owners, defining groups. You review and validate each layer. The resulting VSM is not a diagram — it becomes the data anchor for every KPI calculation and every DNAI™ insight that runs on top of it.
Deliverable you sign off on
Published VSM Your signed-off process map, ready for KPI configuration. Your signed-off process map, ready for KPI configuration.Led by
- Datanoetic implementation team
Your involvement
- Process owners
- Operations director
- 03
Weeks 4–7 · Map
Knowledge Graph
We catalogue all the entities in your operation — your people, your systems, your machines, your locations, your products, your suppliers — and map how they connect to each other and to your process steps. This is where the real intelligence about your operation is captured. It is what allows DNAI™ to answer "why is pick accuracy down in Zone C?" with a specific operator, a specific device, and a specific SKU cluster — not a generic answer.
Deliverable you sign off on
Knowledge Graph entity inventory Validated list of entities and relationships, signed off by your operations and IT leads. Validated list of entities and relationships, signed off by your operations and IT leads.Led by
- Datanoetic data team
Your involvement
- Operations lead
- IT lead
- 04
Weeks 5–8 · Configure
KPI Configuration
We work with you to select the KPIs that matter most to your operation from the Datanoetic formula catalog, and agree the baselines that define what "good" looks like for each process step. These are your standards — your SLA thresholds, your throughput targets, your quality benchmarks — configured to your operation, not derived from industry averages.
Deliverable you sign off on
KPI dictionary Every metric, every formula, every baseline, every scope filter, documented and approved. Every metric, every formula, every baseline, every scope filter, documented and approved.Led by
- Datanoetic implementation team
Your involvement
- Operations director
- Finance lead
- 05
Weeks 6–10 · Connect
Data Connection
Our technical team connects Datapro-V™ to your data sources — WMS, ERP, TMS, IoT sensors, time and attendance, and any other relevant systems. Connections are read-only. We test, validate, and calibrate to make sure every data feed is accurate and every KPI calculation is producing the right result against real data before go-live.
Deliverable you sign off on
Data validation report Every source connected, every KPI dry-run tested, signed off by your IT lead. Every source connected, every KPI dry-run tested, signed off by your IT lead.Led by
- Datanoetic technical team
Your involvement
- IT lead
- Data team
- 06
Weeks 12–16 · Go-live
Go Live
Datapro-V™ goes live with real data. KPI calculations run continuously. DNAI™ starts watching every published process step and generating its first Insight Cards. Your operations team starts using DNAI™ Chat on real operational questions. First value is typically visible within this phase — an incident explained, a deviation caught before escalation, a root cause surfaced in seconds rather than hours.
Deliverable you sign off on
Go-live sign-off Confirmed that data is flowing, KPIs are calculating correctly, and the team has been trained on the platform. Confirmed that data is flowing, KPIs are calculating correctly, and the team has been trained on the platform.Led by
- Datanoetic implementation team
Your involvement
- Operations team
- 07
Ongoing · Evolve
DNOVA™ activation & process-improvement cycle
This is not a quarterly reporting review — it is the point at which DNOVA™ begins its first full improvement cycle. DNOVA™ reads across the accumulated DNAI™ incident history, identifies chronic patterns in your process, and generates its first set of improvement proposals — mapped to your VSM, ready for your process owners to review and approve. Validated changes are codified into your operation. The insight stream never stops. Neither does the improvement.
Deliverable you sign off on
First DNOVA™ improvement cycle Pattern-level root cause identified, process changes proposed, approved, and deployed. The loop closes; the baseline rises. Pattern-level root cause identified, process changes proposed, approved, and deployed. The loop closes; the baseline rises.Led by
- Datanoetic account team
Your involvement
- Process owners
- Operations director
What DNAI™ answers on day 30.
'30 days to first value' is a strong claim. Here is what it looks like in practice — across pharma, 3PL, and omnichannel retail.
Rosa Lind 
Viktor Schultz 
DNAI
New Insight
Aisha Rahman 
Mei Tanaka 
Viktor Schultz QA supervisor approves in 90 seconds.
DNAI
New Insight
DNAI™ answers in 234ms. Supervisor approves. Incident closed before SLA breach.
DNAI
New Insight
Sofia Marin 
Emi Sato 
Kai Andersen Online stockout flagged 1.8h early. Wave rerouted before it breaks.
What to expect after go-live.
The first 90 days after go-live follow a consistent pattern. Here is what your team will experience — month by month, milestone by milestone.
First live view
Your VSM is live. Data is flowing. Your team has their first real-time view of the operation — node by node, step by step. DNAI™ is watching and generating its first Insight Cards. Your operations team starts asking DNAI™ Chat questions and getting accurate, operational answers — often surfacing things that were previously invisible. The first deviation caught before it became an SLA breach typically happens in this month.
- Real-time VSM in operational use
- First Insight Cards generated
- First deviation caught pre-breach
First improvements
Root cause analysis is replacing manual investigation. Threshold breaches are being caught earlier. Your team is building confidence in DNAI™’s recommendations and approving them through the recommend-and-confirm workflow. The first measurable improvement in a specific KPI — pick accuracy, on-time delivery, cycle time — is visible and attributable to a specific DNAI™-driven action.
- Root cause replaces investigation
- Recommend-and-confirm in routine use
- First measurable KPI lift attributed
Intelligence deepens
DNAI™’s hypotheses are becoming more accurate as it learns the patterns in your operation. Your team is spending less time investigating and more time executing. DNOVA™ is accumulating the insight stream — by week 16, its first improvement cycle begins. You have your first evidence of value in throughput, quality, and cost terms — documented and ready for the process-improvement review.
- DNAI™ hypotheses calibrated to your operation
- DNOVA™ first cycle approaching (week 16)
- Documented value evidence ready
Datanoetic leads. Your team validates.
A clear division of responsibility — so your team knows exactly what to expect from us, and what we will need from you.
Leads every phase end to end.
- Designs the VSM with your process owners
- Builds and validates the Knowledge Graph · entities, relationships, sign-off
- Connects and tests all data sources · WMS, ERP, TMS, IoT, T&A
- Configures KPIs and baselines · catalog, formulas, scope filters
- Trains your team on Datapro-V™ and DNAI™ surfaces
- Runs quarterly value reviews · documented improvement, scope-expansion plan
Validates, signs off, takes ownership at go-live.
- Operations director / VP · 6 hours per week in weeks 1–4 for workshops & sign-off, reducing to 2 hours per week from week 5 onwards
- Process owners · available for VSM validation workshops (2–3 sessions)
- IT lead · data source access & security approval (8–12 hrs total)
- No internal development or data engineering resource required
/ We have designed the implementation to minimise the demand on your internal team.
/ The professional services model exists because the depth of the implementation is what makes the intelligence possible — not because we need your team to do the work.
/ Typical client commitment: 6 hours per week in weeks 1–4 (workshops and sign-off), reducing to 2 hours per week from week 5 onwards.
/ No internal technical project manager required. No data preparation required from your team.
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
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.
DNAI™ reasoning in 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.
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 connects to your WMS, ERP, TMS, and other systems through read-only connectors. Nothing is replaced. Your existing systems continue to operate exactly as they do today — we read from them and materialise KPI calculations inside your isolated tenant.
The implementation builds a Knowledge Graph of your operation — your people, your machines, your systems, your suppliers, your process steps, and how they all connect. DNAI™ reasons from this graph, not from general training data. That is why it can answer questions specific to your Zone C, your shift roster, your supplier agreements.
Full control. DNAI™ operates on a recommend-and-confirm model — it proposes actions, your team approves them. Nothing happens automatically without a supervisor's explicit approval. DNOVA™ operates on a design-and-deploy model — it proposes permanent process changes, your process owners review and approve before anything is codified. You can inspect every recommendation, every data source it used, and every confidence rating before deciding.
Mid-to-large enterprises with complex, data-rich supply chains — typically organisations operating multiple facilities, managing multiple clients or product lines, and running a WMS or ERP that generates structured operational data.
We address it before go-live, not after. The implementation includes a dedicated data-validation phase — we profile your source systems, calibrate the KPI calculations against your operation's reality, and report exactly what's reliable and what needs attention before anything goes live. 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 demo — just your operation on a sample VSM.