Broad-Based Black Economic Empowerment Act (B-BBEE Act)
Act 53 of 2003
Provides the empowerment-compliance context often used in public-sector supplier evaluation.
Relevant because this is a South African public-sector procurement opportunity.
Documents available on tender detail page
Tender Type
Request for Quotation
Delivery Location
103 Central Street - Houghton - Johannesburg - 2041
Organization Type
GOVERNMENT
Published
19 Aug 2026
OCDS Reference
ocds-9t57fa-166152
Brand south africa seeks an experienced service provider to deliver a 2-3 day AI and machine learning training course for one employee, conducted online or in-person. The course must cover a specified curriculum from fundamentals to ethical considerations and change management. Bidders must submit proof of experience via five reference letters and a facilitator cv demonstrating at least three years of ai/ml training experience, with proposals evaluated on an 80/20 price and specific goals basis.
Closing date: 28 August 2026 at 16H00; submit by email to [email protected] or [email protected].
Mandatory experience proof: five (5) reference letters on clients' letterheads indicating type of services offered.
Mandatory facilitator requirement: CV must demonstrate at least 3 years' technical and professional experience in AI and machine learning training.
Mandatory documents (disqualification if omitted): SARS PIN or Tax Clearance Certificate, CSD report, completed and signed SBD forms (including SBD 3 and SBD 6.1), signed POPIA consent, quotation on company letterhead.
Evaluation: 80/20 preference point system (Price 80 points, Specific Goals 20 points); specific goals points require CSD report and certified B-BBEE certificate or sworn affidavit, otherwise zero points.
Pricing: complete SBD 3 pricing schedule; line prices VAT-exclusive, total VAT-inclusive; provide detailed cost breakdown on company letterhead; quotation valid for at least 90 days.
Payment: within 30 days of substantiated invoice, based on completed milestones/deliverables per agreed implementation plan.
No briefing or site visit mentioned.
Date & Time
Friday, 28 August 2026 - 16:00
Venue
null
Categories
Request for Quotation
103 Central Street - Houghton - Johannesburg - 2041
Tenders in this industry often require registration with these bodies.
Recommended Certifications
Having these can improve your winning chances: CA(SA) - Chartered Accountant, PMI-PMP (Project Management Professional), Prince2 Practitioner, Six Sigma Certification
AI Document Analysis Stages
Description
Source: RFQ AI and Machine Learning Training UPDATED.pdf19 Aug
2026
Tender Published
Tender was published
28 Aug
2026
Closing Date
Tender closing date
These references help suppliers understand the public-procurement framework around this opportunity. They are generated from the tender category, issuing organisation type and procurement context.
These rules commonly apply to South African public-sector procurement.
Act 53 of 2003
Provides the empowerment-compliance context often used in public-sector supplier evaluation.
Relevant because this is a South African public-sector procurement opportunity.
Act 108 of 1996 (s217)
This is general procurement context, not legal advice. Always verify requirements in the official tender documents and issuing authority notices.
RFQ AI and Machine Learning Training UPDATED.pdf
Brand South Africa is procuring a 2-3 day AI and machine learning training course for one employee, delivered online or in-person, covering fundamentals, business application, data preparation, model evaluation, ethics, change management, and future trends. The successful bidder must provide a certificate of completion and meet mandatory experience requirements.
To download these documents and access AI-powered analysis, visit the main tender page.
Matched by category & region
Free guidance to prepare before you bid
Not sure if your business is ready for this tender? Check CSD, CIDB, and B-BBEE requirements, run a readiness assessment, and move from opportunity to submission.
Open Supplier Readiness HubLearn how to submit a winning bid with these related articles
Median Estimate
R 581 900
Range
Based on 25 comparable awarded tenders. Companies with similar profiles typically bid near the median.
* Estimates are based on historical data and do not guarantee actual award values.
We refine every tender document through these stages so you can brief your team and prepare your bid with confidence. Anything marked as "in progress" will be upgraded automatically — no action required from you.
Brand South Africa is a Schedule 3A Public Entity established in 2002 (formerly the International Marketing Council of South Africa), tasked with developing and implementing marketing, communication and reputation management strategies for South Africa. Its mandate includes building the nation brand reputation globally and fostering pride and patriotism domestically. The organisation reports to the Department of Communication.
This RFQ invites experienced service providers to submit quotations for AI and machine learning training for a Brand South Africa employee. The training aims to equip professionals with skills to automate complex tasks, optimise processes, and generate predictive insights without explicit programming.
Important Dates
Source: RFQ AI and Machine Learning Training UPDATED.pdf (RFQ)Closing date: 28 August 2026, 16H00. No briefing or site visit mentioned.
Contact Information
Source: RFQ AI and Machine Learning Training UPDATED.pdf (RFQ)Technical enquiries: [email protected], tel 011 483 0122.
Supply chain enquiries: [email protected] or [email protected], tel 011 483 0122.
Submission email: [email protected] or [email protected].
Submission Guidelines
Source: RFQ AI and Machine Learning Training UPDATED.pdf (RFQ)Submit proposals by email to [email protected] or [email protected] before 28 August 2026, 16H00. Late submissions are disqualified. Quotations must remain valid for at least 90 days. Brand South Africa may extend the closing date under exceptional circumstances, may reject any proposal without obligation, and will not return submitted documents. Bidders must not rely on unofficial information about the RFQ; changes will be communicated only to firms that responded. All submissions are treated confidentially. Bidders bear their own costs of preparing proposals. Brand South Africa may verify all claims made in proposals.
Returnable documents (failure to submit any leads to disqualification):
Returnable Documents
Source: RFQ AI and Machine Learning Training UPDATED.pdf (RFQ)Compulsory requirements for this service: It is important to note that the successful bidder will work under the supervision of a Brand South Africa representative, abide by Brand South Africa’s Code of Conduct, and other organisational guidelines. Failure to submit the following documents will lead to disqualification: (SARS Pin Number/ Tax Clearance Certificate). National Treasury Central Supplier Database Report. Completed and signed SBD forms. Completed and signed POPIA PROTECTION OF PERSONAL INFORMATION ACT, 2013 (POPIA). Quotation on Company Letterhead.
Evaluation Criteria
Source: RFQ AI and Machine Learning Training UPDATED.pdf (RFQ)Proposals assessed using the 80/20 preference point system under PPPFA Regulations 2022. Price: 80 points (detailed budget breakdown). Specific Goals: 20 points (claimed via SBD 6.1; proof required as CSD report and certified B-BBEE certificate or sworn affidavit; failure to submit proof results in zero points for specific goals). Total: 100 points.
Mandatory evaluation: Bidders must provide proof of experience in providing AI and Machine Learning training via five (5) reference letters on clients' letterheads indicating type of services offered. The proposed facilitator's CV must demonstrate technical and professional experience in AI and Machine Learning training of at least 3 years.
Technical Specifications
Source: RFQ AI and Machine Learning Training UPDATED.pdf (RFQ)Scope: Provision of AI and machine learning training for one Brand South Africa employee.
Course outline must include:
Methodology
Source: RFQ AI and Machine Learning Training UPDATED.pdfPayment is based on work completed (milestones/deliverables) as per the project implementation plan to be agreed at inception. The successful bidder will work under the supervision of a Brand South Africa representative and must abide by Brand South Africa's Code of Conduct and organisational guidelines.
Experience & Qualifications
Source: RFQ AI and Machine Learning Training UPDATED.pdfBidders must provide proof of experience in providing AI and Machine Learning training, in the form of five (5) reference letters on clients' letterheads indicating type of services offered. The proposed facilitator's CV must demonstrate technical and professional experience in AI and Machine Learning training of at least 3 years.
Pricing Schedule
Source: RFQ AI and Machine Learning Training UPDATED.pdfComplete the SBD 3 pricing schedule: line prices are VAT-exclusive, total price is VAT-inclusive. Quote for training services for 1 attendee. Provide a detailed cost breakdown on company letterhead. Bidders must quote according to the scope of work.
Financial Requirements
Source: RFQ AI and Machine Learning Training UPDATED.pdf (RFQ)Pricing: Complete the SBD 3 pricing schedule. Line prices are VAT-exclusive; total price is VAT-inclusive. Quote for training services for 1 attendee. Provide a detailed cost breakdown on company letterhead.
Payment: Brand South Africa pays valid claims within 30 days of presentation of a substantiated invoice. Payments are made on completion of milestones/deliverables as per the project implementation plan agreed at inception.
Compliance Requirements
Source: RFQ AI and Machine Learning Training UPDATED.pdf (RFQ)Mandatory documents (disqualification if omitted):
Specific goals points require CSD report and certified B-BBEE certificate or sworn affidavit; otherwise zero points for specific goals.
Bidders listed on the Register for Tender Defaulters or List of Restricted Suppliers are automatically disqualified.
Contractual Terms
Source: RFQ AI and Machine Learning Training UPDATED.pdfPayment: Brand South Africa pays valid claims within 30 days of presentation of a substantiated invoice. Payments are made on completion of milestones/deliverables as per the project implementation plan agreed at inception.
General conditions: Brand South Africa may extend the closing date under exceptional circumstances. All proposals and information received are not returned. The adjudication process does not commit Brand South Africa to proceed with any proposal. The price quoted must be valid for at least 90 days. Brand South Africa may change the RFQ document; changes communicated only to responding firms. No reliance on other information or comment. Submissions treated in strict confidence. Brand South Africa may declare the RFQ process closed without appointing any respondent, proceed on a different basis, and will not accept responsibility for bidder costs. Brand South Africa may validate all claims made in proposals.
Special Conditions
Source: RFQ AI and Machine Learning Training UPDATED.pdf (RFQ)Brand South Africa may extend the closing date under exceptional circumstances. All proposals and information received are not returned. The adjudication process does not commit Brand South Africa to proceed with any proposal. The price quoted must be valid for at least 90 days. Brand South Africa may change the RFQ document; changes communicated only to responding firms. No reliance on other information or comment. Submissions treated in strict confidence. Brand South Africa may declare the RFQ process closed without appointing any respondent, proceed on a different basis, and will not accept responsibility for bidder costs. Brand South Africa may validate all claims made in proposals.
Submissions must be received by email at [email protected] or [email protected] before 28 August 2026, 16H00. Selection is at Brand South Africa's sole discretion; it does not bind itself to accept any particular bid and reserves the right not to appoint.
Sets the constitutional standard for fair, equitable, transparent, competitive and cost-effective public procurement.
Relevant because this is a South African public-sector procurement opportunity.
Act 5 of 2000
Covers preferential procurement and preference-point systems used in public tenders.
Relevant because this is a South African public-sector procurement opportunity.
Act 12 of 2004
Supports anti-corruption controls and supplier integrity in procurement processes.
Relevant because this is a South African public-sector procurement opportunity.
Act 28 of 2024
Provides the national framework for public procurement across government.
Relevant because this is a South African public-sector procurement opportunity.
Act 2 of 2000
Supports access to tender records, award decisions and public-sector procurement information.
Relevant because this is a South African public-sector procurement opportunity.
Act 3 of 2000
Supports lawful, reasonable and procedurally fair administrative tender decisions.
Relevant because this is a South African public-sector procurement opportunity.
Address
103 Central St, Houghton Estate, Johannesburg, 2041, South Africa
Source confidence
High source confidence
Official source
eTenders.gov.za
Documents found
1
Last checked
19 Aug 2026
AI status
Enhanced
Data conflicts
None detected
This tender has strong source evidence, including source metadata and supporting tender information synced from the government tender portal.
Tenders SA is not the issuing authority. All tenders are automatically synced from the official government tender portal. Always confirm final submission details, closing dates, briefing sessions, eligibility requirements, and documents on the official government portal before applying.
Contact
011-483-0122[email protected]www.brandsouthafrica.com103 Central St, Houghton Estate, Johannesburg, 2041, South Africa
Key Personnel
💡 Want more tendering tips and strategies?
Explore Our BlogGet deep intelligence on Services: Professional. Unlock full pricing strategies, bid frequency, and historical win rates.