How-to

GBS agentic AI: your 90-day roadmap from decision to first production results

GBS centers deploying agentic AI for finance tower automation can reach first production results within 90 days with a structured roadmap: weeks 1–2 for scope and vendor selection, weeks 3–6 for proof of concept and integration design, weeks 7–10 for configuration and UAT, weeks 11–13 for phased go-live and exception baseline measurement. The roadmap assumes a single high-volume process — typically AP invoice processing — as the initial anchor use case.

Agentic GBS

10

min read · Updated

June 8, 2026

GBS centers can reach first production results from agentic AI deployment within 90 days by following a structured roadmap that anchors on a single high-volume finance process — typically AP invoice processing — and progresses through defined phases: scope and vendor selection (weeks 1–2), proof of concept and integration design (weeks 3–6), configuration and UAT (weeks 7–10), and phased go-live with baseline measurement (weeks 11–13). The roadmap assumes executive sponsorship, a dedicated cross-functional team, and access to a non-production ERP instance for integration testing.

Days 1–14: Scope, team, and vendor selection

Week 1: Secure executive sponsor and define the business case anchor. Select the initial automation target — AP invoice processing is the standard starting point because it has the highest document volume, clearest ROI metrics, and most mature agentic platform capabilities. Document current-state metrics: invoice volume by entity, cost per invoice, current processing time, exception rate, and FTE allocation. Identify the top three pain points AP operations leadership wants solved.

Days 15–42: Proof of concept and integration design

Weeks 3–4: Execute proof of concept with 500 to 1,000 real invoices from the target entity. Measure straight-through rate, exception type distribution, extraction accuracy on scanned versus electronic documents, and ERP posting success rate on non-production instance. POC success criteria: straight-through rate above 80 percent on the test corpus, zero critical ERP posting errors, and exception types that are addressable through configuration rather than fundamental platform gaps.

Weeks 5–6: Design integration architecture. Document data flows from ingestion channels through agentic processing to ERP posting. Define SAP or Oracle API endpoints for master data reads and invoice posting. Plan security review submission — IDP platforms require read access to PO and vendor master, write access to invoice transactions. Design multi-entity routing logic if GBS center processes invoices for multiple company codes. Establish change management plan: AP team role transition from processing to exception management.

Days 43–70: Configuration, testing, and UAT

  1. Week 7: Configure ingestion and extraction. Set up email parsing, scan folder routing, and EDI connectors for each input channel. Validate extraction on top 50 supplier formats by volume.
  2. Week 8: Configure matching and tolerance rules. Set price and quantity tolerance parameters aligned with AP policy. Configure three-way matching logic against SAP/Oracle PO data. Test matching on historical invoices with known outcomes.
  3. Week 9: Configure GL coding and approval workflows. Map vendor-to-GL patterns for top 80 percent of volume. Configure approval matrix by amount, cost center, and vendor category. Test end-to-end flow from ingestion to approved ERP posting.
  4. Week 10: User acceptance testing. AP operations team processes 200 to 500 invoices through the configured system. Validate exception queue usability, coding accuracy, and posting correctness. Document and resolve UAT findings before go-live authorization.

Days 71–90: Phased go-live and baseline measurement

Week 11: Go-live with top 20 percent of suppliers by invoice volume — typically 60 to 70 percent of total invoice count for the target entity. Parallel manual processing continues for all suppliers not yet in scope. Daily monitoring of straight-through rate, exception queue volume, and ERP posting errors.

Week 12: Expand to next 30 percent of suppliers if week 11 metrics meet go-live criteria — straight-through rate stable above target, exception queue manageable within existing AP headcount, zero critical posting errors for 5 consecutive business days. Begin change management transition: AP team shifts from processing to exception-focused roles.

Week 13: Measure and report first production results. Document baseline metrics: straight-through rate, average processing time, exception type distribution, cost per invoice, and FTE reallocation. Present results to executive sponsor with Phase 2 expansion plan — additional entities, document types, or process areas. Target: demonstrable straight-through rate above 80 percent on the go-live supplier scope with measurable cost-per-invoice reduction.

Critical success factors for the 90-day timeline

Scope discipline is equally important. The 90-day roadmap covers one process (AP invoice processing) for one entity or entity group. Expanding to multiple processes, multiple ERP instances, or global rollout during the initial 90 days is the second most common cause of timeline failure. Prove value on the anchor use case, then expand.

Hypatos: 90-day GBS deployment with finance-native agentic AI

Hypatos supports the 90-day GBS roadmap with finance-specific accelerators: pre-built SAP and Oracle connectors, configurable tolerance and GL coding frameworks, multi-entity routing, and agentic exception handling that reduces configuration time for common exception types. Typical single-entity deployments complete in 10 to 13 weeks from contract signature to production go-live — within the 90-day target when the critical success factors above are met.

On extraction, Hypatos performs comparably to leading IDP platforms. Where it accelerates the GBS roadmap is in downstream scope: matching, coding, exception resolution, and posting are native — eliminating the separate workflow integration phase that adds 4 to 8 weeks when assembling extraction, workflow, and ERP posting from different vendors. For GBS centers launching agentic AI, Hypatos delivers the fastest path from decision to measurable production results on the finance tower anchor use case.