Pharmaceuticals and pharmacyWhat we do in pharma, and an illustrative case
Pharmacy processes can be improved massively, from prescription to pickup.
From the plant to the counter, we map how batches, prescriptions and claims really move, measure the gap to best practice, and check every case as it happens.
What a pharmacy can gainPublished figures, with their sources
Where pharmacy value leaks today.
27%
of prescriptions never filled, lost to payer rejections and abandonment
IQVIA Institute, “Understanding the Use of Medicines in the U.S. 2025,” 2025
18 sec
prior-auth approval when automated, instead of a 4-day delay
Surescripts, Annual Impact Report 2025 (2026); Surescripts analysis of new prescriptions, January 2026
30%
less warehouse inventory with AI replenishment across 400+ pharmacies
HCLTech, “AI-driven supply chains keep pharmacies stocked,” case study, 2025
40%
of pharmacists say lack of time is their #1 daily challenge
Surescripts and APCO Insight, survey of 250 pharmacists and 253 prescribers, September 2025
What pharmacy operators needRetail, specialty and mail
Built for how pharmacies really run.
Lower cost to fill
True cost per script and payer, as cost-based reimbursement grows (McKinsey, “The revival of pharmacy,” 2026).
Inside your systems
Reads pharmacy, claims and wholesaler data. No new screens.
Fewer rejects, fewer calls
Catches prior-auth and claim rejects before the counter.
Tailored to every store
Staffing, inventory and workflow tuned to each store’s real demand.
Illustrative caseGMP pharma manufacturer: batch release and quality
25–45% lower QC lab costs.
An illustrative case built from published benchmarks, not an AIx2 client result. Each figure carries its source.
25–45%
lower QC lab costs (published benchmark range)
McKinsey, “Digitization, automation, and online testing: Embracing smart quality control,” 2021
4 weeks → 6 hours
batch release time
ISA InTech, “Digital transformation of batch review” (Emerson case, global biopharma manufacturer), 2020
−40%
deviation closure time
McKinsey, “Gen AI: A game changer for biopharma operations,” 2025
−80%
non-perfect batches
AstraZeneca Wuxi site, World Economic Forum Global Lighthouse Network, 2024
How we get thereThe Five Step Method, in a GMP plant
From batch records to inspection-ready, every day.
Step 01: Collecting Data
Connect SAP S/4HANA, MES and eBR; add LIMS, Veeva Vault QMS and PI historian; capture paper logbooks, Excel and e-mail
Step 02: Mapping Processes and Data Flow
Map each batch from dispense to release; map deviation, CAPA and change-control flows; trace GMP data from MES to LIMS to SAP
Step 03: Gap Analysis
Measure the gap to GMP best practice; surface right-first-time losses and review loops; flag ALCOA+ gaps in data integrity
Step 04: Optimal Design
Design review by exception and parallel QC/QA; build a validated (CSA) transformation playbook
Step 05: Implementation Live Assurance
Run live QC on every batch record; flag deviations before batch disposition; stay inspection-ready for FDA and EMA