Noblq
You chose Kinaxis to plan in real time. Let's make it a plan the business trusts.
The Kinaxis Maestro partner behind concurrent planning that holds up under real disruption, a clean line to your ERP core, and the agentic era now arriving.
One partner from ERP core to planning edge
Most Kinaxis work gets scoped as a tool implementation. We run the whole arc, from the ERP core the plan depends on to the planning edge where decisions get made, under one team.
The platform, end to end.
Advisory and supply-chain diagnostics, full-cycle Maestro implementation, and application managed services after go-live: one team across the lifecycle, not a handoff at each phase.
The integration nobody else wants to own.
Kinaxis is only as good as its connection to the ERP core, and we run an SAP practice and a data management practice on the other side of that integration. Planning and execution finally read from one picture.
The planning stack.
Demand and scheduling, sales and operations planning, inventory and order management, supply chain orchestration, and control tower: configured to your operating model, not a reference architecture.
The agentic frontier, governed.
Kinaxis launched Maestro Agents, AI co-workers that move planners from issue to action, with an agent marketplace arriving in 2026. We deploy Maestro Agents the way we deploy our own: guardrails, human decision rights, a measured return. That standard comes from Workbench, our governed AI platform.
Run and evolve, after go-live.
The team that builds it stays on. An embedded pod runs it under one roof: Managed Operations for day-to-day stability, Enhancement Services for the roadmap work that doesn't fit inside a break-fix ticket, on real SLAs, with continuous model tuning and upgrade management. The partner still there, and still improving it, after go-live.
Managed Services
Meet you where you are
Concurrent planning only pays off if it reaches the floor: a model your planners trust, fed by data that matches the ERP, fast enough to answer a disruption while it still matters. Most implementations stall on one of those. We start from where yours is. Three starting points:
Evaluating: planning still lives in silos.
Demand, supply, and inventory plans sit in different systems, and decisions wait while they reconcile, so a change anywhere in the network never reprices the whole plan at once.
Entry point: a supply-chain diagnostic and planning-maturity assessment.
Implementing: ready to build, and the integration is the risk.
The tool is chosen; now it has to read from the ERP core and survive contact with your real constraints and decision rights.
Entry point: a design workshop with the integration architecture on the table from day one.
Live, but underpowered: the model isn't trusted or used.
Planners are back in spreadsheets, the data doesn't match execution, and disruptions still can't be modeled fast enough to choose an option in time.
Entry point: a planning health check across model, data, and adoption.
Why Noblq
Architecture-led.
A senior architect owns the end-to-end planning architecture and carries the delivery risk personally. Planning programs are unforgiving: an early design mistake compounds across every cycle after go-live, so the person who can catch it stays on the engagement from design through go-live.
Both sides of the integration.
Most Kinaxis partners integrate to an ERP they don't otherwise touch. We run the SAP and data practices those integrations land on, so the plan and the execution finally read from one trusted picture rather than two arguing versions.
Right-shored delivery.
Senior-led onshore for architecture, governance and the conversations that matter; execution-scaled offshore for the build and run economics. The ratio is set by what your program needs rather than by a fixed template, and it changes as the work changes, not at renewal.
Our planning work runs through the same SAP, data and managed-services practices proven across the portfolio. Ask us for supply chain planning references relevant to your network, and explore the full delivery record.
Bring your hardest planning problem.
A disruption you couldn't model, a plan nobody trusts, an integration that never landed. We'll pressure-test it with you and show you where concurrent planning starts paying.