Which ERP partners fit our company size?
ERP Partners by Company Size: What The Shortlist Report Finds
6 firms lead, appearing in 30.9–40.0% of 55 AI responses. The sample cannot separate them, so we do not pretend it can.
No clear leader
No single firm dominates this question. Six come up regularly and they specialise in different things, so the firm worth calling is the one that fits your situation rather than whoever sits highest.
Accenture22 of 55
Handles large-scale SAP, Oracle and Dynamics transformations, complex integrations and Salesforce implementations for enterprises.
Deloitte22 of 55
Enterprise-scale SAP, Oracle, and Workday implementations for Fortune 500 companies and regulated industries.
PwC22 of 55
Implements SAP, Oracle, and Workday with business process transformation for enterprises seeking redesign plus implementation.
Capgemini21 of 55
Large-scale SAP and Oracle ERP implementations for multinational enterprises and global rollouts.
IBM19 of 55
Implements SAP, Oracle, and Microsoft ERP systems for large, complex technology environments.
+1 more, tiedin the table
Based on 55 ChatGPT responses to this question, collected August 11, 2026–August 19, 2026. Firms are counted once per response. How we measure.
The ranking
| Firm | Responses | Share | |
|---|---|---|---|
| Tier 1 6 firms, 30.9–40.0% | |||
| Accentureaccenture.comHandles large-scale SAP, Oracle and Dynamics transformations, complex integrations and Salesforce implementations for enterprises. | 22 of 55 | 40.0% | |
| Deloittedeloitte.comEnterprise-scale SAP, Oracle, and Workday implementations for Fortune 500 companies and regulated industries. | 22 of 55 | 40.0% | |
| PwCImplements SAP, Oracle, and Workday with business process transformation for enterprises seeking redesign plus implementation. | 22 of 55 | 40.0% | |
| Capgeminicapgemini.comLarge-scale SAP and Oracle ERP implementations for multinational enterprises and global rollouts. | 21 of 55 | 38.2% | |
| IBMImplements SAP, Oracle, and Microsoft ERP systems for large, complex technology environments. | 19 of 55 | 34.5% | |
| TCSDelivers SAP, Oracle, Microsoft Dynamics and SuccessFactors implementations and ERP/HR transformations for global organizations. | 17 of 55 | 30.9% | |
| Tier 2 4 firms, 20.0–25.5% | |||
| Infosysinfosys.comGlobal systems integrator handling large SAP, Oracle and cloud ERP implementations. | 14 of 55 | 25.5% | |
| KPMGkpmg.comImplements SAP, Oracle, Microsoft Dynamics, and Workday for finance and HCM transformation, particularly in healthcare and financial services. | 13 of 55 | 23.6% | |
| RSMMid-market ERP advisory and implementation across NetSuite, Microsoft Dynamics, Sage, and Acumatica. | 12 of 55 | 21.8% | |
| Cognizantcognizant.comImplements Oracle, SAP, Dynamics, and other ERPs for large enterprises; integrates Salesforce with ERP systems. | 11 of 55 | 20.0% | |
Key findings
- No firm answers “Which ERP partners fit our company size?” reliably in ChatGPT. The most-named, Accenture, appeared in 22 of 55 responses (40.0%) collected August 11, 2026–August 19, 2026, and 5 other firms scored close enough that the sample cannot put any of them in order.
- Accenture, Deloitte and PwC were named most often, in 22–22 of 55 responses. All 6 firms in the leading group are listed with their counts in the table below.
- 10 firms cleared the reporting threshold on “Which ERP partners fit our company size?” in ChatGPT as of August 19, 2026; the full table with response counts is below.
- RSM appears in 6 of the 9 NetSuite and ERP implementation partners reports published by The Shortlist Report, the widest coverage of any firm named on this page.
- No firm paid to appear in this ranking; placement cannot be bought, and the counts come from ChatGPT responses rather than from submissions.
Why the tiers fall where they do
Tier 1 holds Accenture, Deloitte, PwC, Capgemini, IBM and TCS, named in 17 to 22 of the 55 ChatGPT responses. They are grouped rather than ranked because the gaps between them are inside the margin of error at this sample size — one extra mention would reorder them, so an order would be reporting noise as a finding.
Tier 2 holds Infosys, KPMG, RSM and Cognizant, named in 11 to 14 of 55 responses (20.0–25.5%). The sample does separate these firms from the tier above: the difference from the leading group is larger than the margin of error, which is what puts them in a tier of their own.
The test is McNemar’s at 95%, applied against the same 55 responses for every firm. The full reasoning, and what happened when we ranked one-to-N instead.
What the sample shows
6 firms lead this question: Accenture, Deloitte, PwC, Capgemini, IBM and TCS. They appear in 30.9–40.0% of the 55 responses. The gaps between them are inside the margin of error at this sample size, so they are listed together rather than ranked against each other.
144 firms were named at least once across the sample. 10 of them cleared the threshold of 2 responses and appear above; the rest were named once and are inside the noise.
How to read this
Firms are grouped into tiers, not ranked one to fifteen. A tier holds every firm whose 95% confidence interval overlaps the leader's, which is a long way of saying the sample cannot tell them apart. Order within a tier is arbitrary — read the counts, not the position.
Share is the percentage of responses that named the firm — not a quality score. A firm scoring low here may be excellent and simply under-written about online, which is a finding about its visibility rather than its work.
The same question was asked repeatedly because AI assistants do not answer identically twice. A single response would tell you almost nothing.
What this measurement does not tell you
- It is not a quality ranking. Share reflects how much has been written about a firm online, which is what an AI assistant reads. A capable firm nobody writes about scores low here.
- It is a reading from a date range, not a permanent standing. This sample was collected August 11, 2026–August 19, 2026; models change and so do their answers.
- It covers ChatGPT only. Other assistants answer differently, and we do not extrapolate across engines we have not measured.
- Order within a tier is arbitrary. Read the counts, not the position. Why we use tiers.
Cite this report
The Shortlist Report. (2026). ERP Partners by Company Size: What The Shortlist Report Finds. The Shortlist Report. https://www.shortlistreport.com/article/erp-for-midmarket-and-enterprise
Underlying counts: CSV · JSON. Every answer they were counted from: plain text · JSON. All reusable under CC BY 4.0 with attribution.