Copado Inc. (Headquarters: Chiyoda-ku, Tokyo; Representative Director: Miho Funakoshi, hereinafter "Copado") conducted a survey on the actual state of AI utilization in Salesforce development and operations targeting 110 individuals involved in these tasks at companies with 300 or more employees. We are pleased to announce the results.

01 | Over 60% of Salesforce Development and Operations Staff at Companies with 300+ Employees Utilize Generative AI/AI Agents in Their Work

02 | Of those utilizing AI, 66.7% responded, "There is no system or mechanism to verify the accuracy of output results."

03 | While 88.1% feel their operations are siloed, 86.4% expect AI to standardize them.

This survey revealed that while the utilization of generative AI/AI agents is expanding to over 60% in Salesforce development and operations sites, even among those already using it, the "lack of a system to verify output results" is a recognized challenge.

Particularly noteworthy is that many staff members, while experiencing operational silos, place strong expectations on AI for standardization as a solution. The focus of AI utilization is shifting from "Can we implement it?" to "Once implemented, how do we design quality assurance and organizational deployment?" Without a verification system and knowledge sharing, utilization risks remaining dependent on quality and personnel.

1. How far has generative AI adoption progressed?

Among Salesforce development and operations staff, 27.3% are "utilizing company-wide," and 35.5% are "utilizing in some tasks/teams," totaling 62.8% who have incorporated generative AI/AI agents into their work.

On the other hand, approximately 40%, comprising those "still in the consideration/testing phase" (26.4%) and those "not utilizing and with no plans to do so" (10.0%), have yet to implement it. In areas where utilization is progressing, "Development (code generation/configuration)" leads at 68.1%, followed by "Testing/operation verification" and "Operations/maintenance (manual creation, etc.)," both at 60.9%.

2. What are the barriers faced by users and non-users?

The most frequently cited challenge by those already utilizing AI was "There is no system or mechanism to verify the accuracy of AI output results" (66.7%), followed by "Restrictions on usage due to security and data governance" (59.4%) and "Concentration of personnel capable of effective prompting" (50.7%).

Conversely, among those who have not yet implemented AI, "Difficulty in deciding which tool to choose" (45.0%) and "Concerns about security and governance" (42.5%) were the top reasons. The foundational work for correct utilization is emerging as a common challenge at both the entry point of adoption and in actual operations.

3. Expectations for standardization through "AI standardization" amid operational silos?

Responses indicating that their company's Salesforce operations are dependent on specific individuals reached 88.1%, with reasons cited as "Few personnel in-house capable of handling Apex, etc." (58.8%) and "Insufficient documentation of development history and change logs" (51.5%).

Against this backdrop of operational silos, 86.4% expect that "AI can standardize operations," with the rationale being that "a certain quality of deliverables can be produced regardless of the staff member's skill level" (63.2%). Furthermore, the most emphasized point for AI utilization is "the existence of a system to verify and test deliverables" (54.5%), indicating a demand for an AI foundation that can break down operational silos while ensuring quality.

Download the full survey (PDF) here

*No personal information required

Over 60% of Salesforce Development and Operations Staff Utilize Generative AI/AI Agents in Their Work

- Utilizing company-wide: 27.3%

- Utilizing in some tasks/teams: 35.5%

- Still in consideration/testing phase: 26.4%

- Not utilizing and with no plans to do so: 10.0%

- Don't know/Cannot answer: 0.9%

"Development (code generation/configuration)" Leads AI Utilization Areas at 68.1%

- Development (code generation/configuration): 68.1%

- Testing/operation verification: 60.9%

- Operations/maintenance (manual creation, etc.): 60.9%

- Requirements definition/specification organization: 59.4%

- Data analysis/report creation: 46.4%

- Release/deployment operations: 44.9%

- Other: 0.0%

- Don't know/Cannot answer: 0.0%

66.7% of Developers View "Lack of System to Verify Accuracy of Output Results" as a Challenge in AI Utilization

- No system or mechanism to verify the accuracy of AI output results (code or configuration): 66.7%

- Usage scope is limited due to security and data governance: 59.4%

- Limited personnel capable of issuing effective instructions (prompts), leading to utilization concentrated among a few staff members: 50.7%

- Low accuracy in handling Salesforce-specific specifications and proprietary languages (e.g., Apex): 37.7%

- Return on investment is unclear: 21.7%

- Other: 0.0%

- Do not feel any particular challenges: 2.9%

- Don't know/Cannot answer: 0.0%

Reasons for Slow AI Adoption Include "Difficulty in Deciding Which Tool to Choose" (45.0%) and "Security Concerns" (42.5%)

- Difficulty in deciding which tool to choose: 45.0%

- Concerns about security and governance: 42.5%

- Return on investment is unclear: 37.5%

- Few personnel in-house capable of mastering AI: 30.0%

- Difficulty in handling Salesforce-specific specifications: 15.0%

- No system to verify the accuracy of AI deliverables: 15.0%

- Overwhelmed by daily tasks, unable to allocate time for consideration: 10.0%

- Do not feel the need for utilization: 5.0%

- Other: 0.0%

- Don't know/Cannot answer: 0.0%

Voices Include "Emphasis on Security" and "Frequent Errors"

When asked, "Q5. For those who answered other than 'Don't know/Cannot answer' in Q4, please freely provide any other reasons why generative AI/AI agent utilization is not progressing," (n=40), 23 responses were received.

<Excerpts from Free Responses>

- Emphasis on security

- Frequent errors

- Difficult to judge

- Lack of know-how

- Under consideration due to selection issues

About 90% of Salesforce Development and Operations Staff Feel Their Operations are Siloed

- Strongly agree: 33.6%

- Somewhat agree: 54.5%

- Not very much so: 10.0%

- Not at all: 1.8%

- Don't know/Cannot answer: 0.0%

Reasons for Feeling Siloed: 1st Place "Few Personnel in-house Capable of Handling Apex, etc.," 2nd Place "Insufficient Documentation of Change History"

- Few personnel in-house capable of handling Salesforce-specific specifications and proprietary languages (e.g., Apex): 58.8%

- Development history and change history are not documented: 51.5%

- No system or mechanism for objectively verifying tests and the accuracy of deliverables: 46.4%

- Overwhelmed by daily tasks, unable to secure time for knowledge sharing, handover, and personnel training for other team members: 40.2%

- Only specific individuals understand specifications and configurations: 37.1%

- Relying on external partners, lacking in-house know-how: 13.4%

- Other: 0.0%

- Don't know/Cannot answer: 0.0%

86.4% of Development and Operations Staff Expect "Operational Standardization" through Generative AI

- Strongly agree: 28.2%

- Somewhat agree: 58.2%

- Not very much so: 10.9%

- Not at all: 1.8%

- Don't know/Cannot answer: 0.9%

Reason for Expecting Standardization: "A Certain Quality of Deliverables Can Be Produced Regardless of Staff Skill Level" is Most Common at 63.2%

- A certain quality of deliverables can be produced regardless of the staff member's skill level: 63.2%

- Manuals and procedure documents can be created: 50.5%

- It becomes easier for less experienced members to handle development and operations: 44.2%

- Know-how and development history can be accumulated and shared with AI: 43.2%

- Reduces the burden of handover and training: 34.7%

- Can check for omissions and errors in work: 17.9%

- Other: 0.0%

- Don't know/Cannot answer: 0.0%

54.5% of Salesforce Development and Operations Staff Prioritize "System for Verifying and Testing Deliverables" in AI Utilization

- Existence of a system to verify and test AI deliverables: 54.5%

- Ability to support from requirements definition through development and operations: 52.7%

- Usable by anyone, without dependence on specific individuals: 41.8%

- Security and governance are ensured: 40.9%

- Specializes in Salesforce specifications and characteristics: 30.9%

- Ability to learn and accumulate past development know-how: 30.9%

- Support for introduction and utilization is available: 17.3%

- Other: 0.0%

- None in particular: 0.9%

- Don't know/Cannot answer: 0.0%

Download the survey here

*No personal information required

Survey Overview

Survey Name: Survey on AI Utilization in Salesforce Development and Operations

Survey Method: Internet survey planned by IDEATECH's research marketing service "Resapy®︎"

Survey Period: June 22, 2026 - June 23, 2026

Valid Responses: 110 individuals involved in Salesforce development and operations at companies with 300 or more employees.

*Percentages are rounded to the second decimal place, so the total may not always be 100%.

≪Usage Conditions≫

1. Please cite "Copado" as the source of information.

2. When using on a website, please include the following link as the source.

URL: https://www.copado.com/jp

About Copado (Copado Inc.)

Copado is a leader in AI-driven DevOps specifically for Salesforce, supported by Insight Partners, SoftBank, IBM, Capgemini, and Salesforce Ventures.

It comprehensively manages planning, building, testing, and releasing Salesforce development. AI-powered "Org IntelligenceTM" analyzes and visualizes complex Salesforce environments, automating error diagnosis and impact analysis, thereby dramatically improving development quality and speed.

Over 1,750 global companies, including Coca-Cola, Medtronic, T-Mobile, and Volkswagen, are accelerating their digital transformation using Copado.

Adopting companies have achieved results such as up to a 20x increase in release frequency, a 95% reduction in downtime, 10x faster testing, and a 20% improvement in development productivity. In January 2025, Copado Inc. was established as a joint venture with Sunbridge Partners, marking the full-scale launch into the Japanese market.

Learn more: https://www.copado.com/jp

Company Profile

Company Name: Copado Inc.

Established: January 2025

Representative: Miho Funakoshi, Representative Director

Location: 3F, Japan Life Marunouchi Garden Tower, 1-1-3 Marunouchi, Chiyoda-ku, Tokyo 100-0005

Business Activities: Providing a platform to support the development and operation of cloud-based customer relationship management applications.

URL: HP: https://www.copado.com/jp

LinkedIn: https://www.linkedin.com/company/copado-japan/

X: https://x.com/CopadoJapan

Inquiries Regarding This Matter

Copado Inc. Inquiry Desk [email protected]

FACT BOX

  • Source: PR TIMES
  • Category: Survey結果
  • Organizations: Copado / InsightPartners / SoftBank