# Post-Go-Live Stabilization: Surviving the First 90 Days > Source: https://netray.co/resources/post-go-live-stabilization-guide > Publisher: Netray (netray.co), AI and integration engineering for ERP and manufacturing systems. > Section: Knowledge Base ## Short answer Post-go-live ERP stabilization guide: hypercare structure, defect triage, first month-end close, MRP tuning, and the 90-day exit criteria that prove stability. ## Category migration ## Content **Intro:** Post-go-live stabilization is the structured 60-to-90-day period after an ERP cutover during which the project team runs hypercare, triages defects, tunes planning engines, and proves the system through its first month-end closes before handing off to normal support. It is where ERP projects are actually won or lost: cutover weekend gets the attention, but shipment slips, inventory drift, and invoice errors in weeks 2 through 6 are what erode executive confidence and user adoption. A disciplined 90-day plan with staffed hypercare, daily triage, and explicit exit criteria typically returns a manufacturer to baseline throughput within 4 to 6 weeks. **Sections:** #### Hypercare Structure: The First Two Weeks Decide the Tone **Body:** Hypercare is a temporary, elevated support model - not just consultants on standby. Run it as a war room with a daily rhythm: a 30-minute morning triage reviewing every open issue, floor walkers embedded in shipping, receiving, and production scheduling for the first 10 business days, and a visible issue board users trust more than hallway rumors. Staff it deliberately: functional leads at 100 percent allocation for two weeks, technical resources on same-day turnaround for data fixes, and an empowered decision-maker who can approve workarounds without a committee. Track two numbers daily and publish them: open defects by severity, and business KPIs against pre-go-live baseline (orders shipped, receipts processed, invoices generated). When users see shipment counts recovering on a chart, panic subsides; when they see nothing, they build shadow spreadsheets you will spend a year killing. #### Defect Triage: Separating Data, Training, and Real Bugs **Body:** Post-go-live issues cluster into four root-cause buckets, and misclassifying them wastes your scarcest resource - functional expert time. Force every ticket through classification within 4 business hours. **Bullets:** Data conversion issues (typically 40 to 50 percent of early tickets): wrong costs, missing cross-references, incorrect order statuses - fix with audited correction scripts, never one-off manual edits Training and process gaps (30 to 40 percent): users doing the old process in the new system - answer with side-by-side coaching and one-page quick cards, not code changes Configuration defects (10 to 20 percent): tax codes, posting rules, planning parameters set wrong - route to functional leads with a same-week fix SLA True software bugs (under 10 percent): reproducible product defects - log with Infor support immediately with full recreation steps, and design a workaround while the ticket ages #### The First Month-End Close: Your Real Acceptance Test **Body:** The first close on the new system is the moment finance decides whether the project succeeded, so plan it like a cutover event. Expect it to take 2 to 3 times the normal duration - a 5-day close running 10 to 12 days is normal the first cycle. Pre-build a close runbook mapping every old-system close task to its new-system equivalent, and schedule daily close-team standups during the window. The recurring trouble spots in SyteLine and LN environments: inventory valuation mismatches from conversion-date cost layering, WIP balances that do not roll where legacy jobs converted mid-stream, intercompany eliminations, and subledger-to-GL tie-outs where a conversion posting hit control accounts directly. Reconcile the first close to the final legacy close with a documented bridge schedule - auditors will ask for it, and defense contractors need it for DCAA-facing cost records. The second close should return to near-normal duration; if it does not, escalate. #### Tuning MRP, APS, and Exit Criteria for Day 91 **Body:** Planning engines go live with estimated parameters and must be tuned against reality before planners trust them. Meanwhile, define measurable exit criteria so hypercare ends by evidence, not exhaustion. **Bullets:** Tune planning data in weeks 3 through 8: lead times, safety stocks, order minimums, and shop calendar accuracy - bad parameters, not bad software, cause most early MRP noise Watch APS output daily at first: compare planned versus actual completions and correct routing times where variance exceeds 15 percent Set exit criteria up front: two consecutive closes at near-normal duration, shipment and receipt volumes at 100 percent of baseline, open severity-1/2 defects at zero, ticket inflow below an agreed weekly threshold Hand off formally on day 90: transition remaining tickets to sustaining support with documented ownership, and convert the top 10 recurring issues into a continuous-improvement backlog #### How Netray AI Agents Shorten Stabilization **Body:** Netray runs stabilization with AI agents that watch the system so humans can work the floor. Our monitoring agents track transaction throughput against pre-go-live baselines in near real time - orders entered, shipments confirmed, receipts posted, invoices generated - and flag deviations hours after cutover instead of days later when the backlog surfaces. Triage agents auto-classify inbound tickets into the data/training/configuration/bug buckets with suggested owners, cutting classification time from hours to minutes. Data-fix agents generate audited correction scripts for conversion defects with before/after evidence attached. Clients using Netray hypercare have returned to 100 percent baseline throughput in under 3 weeks, closed their second month-end at normal duration, and exited hypercare on day 60 instead of dragging war rooms into month four. **Cta:** Put Netray's AI-monitored hypercare behind your next cutover and exit stabilization weeks early with throughput evidence, not gut feel. **Faq:** #### How long does ERP stabilization take after go-live? **Answer:** Plan for 60 to 90 days of structured stabilization. Well-run projects return to baseline transaction throughput in 4 to 6 weeks, complete a near-normal-duration month-end close by the second cycle, and exit hypercare around day 60 to 90 against explicit criteria: zero severity-1/2 defects, volumes at 100 percent of baseline, and ticket inflow below an agreed threshold. Projects without staffed hypercare and daily triage routinely stretch stabilization to 6 months or more. #### What is hypercare after an ERP go-live? **Answer:** Hypercare is the temporary, elevated support model run immediately after cutover: a war room with daily 30-minute triage meetings, functional leads at full allocation, floor walkers embedded with shipping, receiving, and scheduling for the first two weeks, same-day data-fix turnaround, and published daily metrics comparing throughput to pre-go-live baselines. It typically runs 4 to 8 weeks and ends when measurable exit criteria are met, transitioning remaining issues to sustaining support. #### Why does the first month-end close take so long on a new ERP? **Answer:** The first close typically runs 2 to 3 times normal duration - a 5-day close stretching to 10 to 12 days - because every task is being performed in a new system while reconciling against conversion balances. Common culprits: inventory valuation differences from conversion-date costing, WIP that does not roll on jobs converted mid-stream, and subledger-to-GL tie-outs where conversion entries hit control accounts. A pre-built close runbook and daily close-team standups keep it controlled; the second close should approach normal duration. ## Related Slugs - erp-migration-test-automation - syteline-9-to-10-upgrade-guide - ma-erp-consolidation-playbook ## Search terms post go-live stabilization ERP, ERP hypercare best practices, first month-end close new ERP, ERP go-live support plan, ERP stabilization checklist --- Talk to an engineer: https://netray.co/contact?intent=erp_ai | Machine catalog: https://netray.co/agent/catalog.json