Idea-to-Market runs from the roadmap decision to production release: requirements, design and verification, tapeout, qualification, ramp and launch.
Idea-to-Market runs from the roadmap decision to production release: requirements, architecture, design and verification, tapeout, bring-up, qualification, test at an OSAT (the outsourced assembly and test partner), ramp and launch. Tapeout is the moment the finished design goes to the foundry to make masks. The money goes to three places. Engineering effort first: verification alone takes 60% to 70% of a chip project’s effort (Siemens, 3 September 2025) 32. Respins and slips second; a respin is a second pass through the foundry to fix the design. First-silicon success fell to 14% in the 2024 Wilson Research Group study, 75% of projects ran late and 70% of respins traced to specification changes (Semiconductor Engineering, 27 March 2025) 31.
Change is the third. An engineering change order, an ECO, is the record that alters a design, its bill of materials (BOM) and everything built from it. The median ECO takes 7.0 days from request to production, and change orders take a median 10% of new product development cost (APQC, checked 23 September 2026) 28, 29; 90% of engineering leaders delay launches because of late design changes (CoLab, 26 July 2024) 30. Obsolescence is a constant drag: over 620,000 electronic parts were discontinued in 2025, and 52% reached end-of-life before a change notice was issued (Z2Data, 13 March 2026) 22. One redesign to resolve an obsolete part averaged $1.09 million (US Department of Commerce BIS, 2015) 25.
Agents are arriving fastest inside the design tools, where Synopsys, Cadence and Siemens ship named agents with customer numbers in 2026 33, 37, 41. They come next in the product lifecycle management (PLM) and ERP systems, where Siemens, SAP, Oracle, PTC, Aras and Dassault Systèmes ship change, replacement and readiness agents 1, 3, 6, 10, 16, 20. Analyst coverage is thin. Gartner’s 2026 report on PLM software expects agent-driven cross-functional workflows, as quoted by two vendors (PTC Arena, 11 August 2026; Siemens, 10 June 2026) 18, 57. Capgemini finds over 75% of engineering executives expecting 20% to 50% gains (Capgemini Research Institute, 13 November 2025) 47. Analyst surveys have yet to rank agent use cases inside product development, so this page leans on vendor offers, named customers and measured pain.
The research note ranked fifteen candidates on four criteria, in order of weight: adoption evidence, vendor offer density, named customer results and measured pain. A candidate entered the top four only where the blueprint holds a role for it. Regression triage scored highest on every criterion 33, 37, 41. Specification-to-RTL generation scored second and stays out: it belongs to the design tools, and the blueprint has yet to carry a role for it. Engineering change impact, component end-of-life and launch readiness follow on named agents from six PLM and ERP vendors and on measured pain 1, 3, 6, 22, 28, 30; launch readiness beat requirements traceability on adoption evidence after a tie on points. Engineering data search, the PLM assistant, is the Ask stage every use case includes, so it is treated as a feature.
Juno runs the nightly regressions, groups failures by signature, assigns each to an owner, calls the design-tool agents for root cause, reruns what a fix should clear and keeps coverage and bug convergence on one page toward RTL freeze.
Read the use case →When a design change is raised, Juno finds every assembly, plant, stock position, open purchase and sales order and supplier the change touches, and drafts the change record, effectivity date and follow-up actions for approval.
Read the use case →Juno catches every end-of-life and product change notice on parts in active bills of materials, sizes the exposure and the last-time buy, proposes qualified alternates and opens the change and purchase actions for approval.
Read the use case →Before the first production order of a new product, Juno checks every readiness item, from material and long-lead commitments to supplier and OSAT qualification, test programme release, part numbers and master data, fixes what rules allow and routes the rest to owners.
Read the use case →Each page works the use case through the six stages, names who does what at which level, and lists the settings you would make.
Lima’s agent blueprint is a design of 960 agent roles across five end-to-end chains. It is the map of what Juno can be configured to do, and the first agents are built from it one at a time, the way the PO cancellation agent was.
Everything below is designed and yet to be built. Each role is configured from the same parts as the use cases above, and a role that matters to you can be the next agent built.
| Measure | What it shows |
|---|---|
| Time to RTL freeze | How long verification takes to reach the gate after which the design code changes only by change order, against the plan |
| First-silicon success | Whether the first silicon works; baseline 14% in the 2024 Wilson Research Group study (Semiconductor Engineering, 27 March 2025) |
| Change order cycle time | Request to production implementation; baseline a median 7.0 days across 4,075 companies (APQC, checked 23 September 2026) |
| Change order cost share | Change orders as a share of new product development cost; baseline a median 10% across 325 companies (APQC, checked 23 September 2026) |
| Notices caught before end-of-life | Parts with a notice on record before the last order date; baseline 52% reached end-of-life before a notice (Z2Data, 13 March 2026) |
| Launches on time | Share of launches released on the planned date; baseline 10% of companies launch every product on time (CoLab, 26 July 2024) |
| Expedite spend during ramp | What it costs to recover a gap found at the first production order, in currency per launch |
The product is released and its first orders arrive from the customers who evaluated samples. How does the same machinery carry an order from intake to cash?
Order intake, cash application, collections and disputes: the chain where the market’s evidence is deepest, and where the A0 and A4 scenes of the gamut live.
Bring two systems and one decision your planners make every week. In the first week we register the data, confirm the mapping with your team, answer your questions in ChatLima and run the first agent at the level you choose.
