AI Vendor Relationships and Procurement
AI vendor relationships carry risks often missed in standard contracts. We help both sides get it right.
What We Do
AI Vendor Relationships & Procurement
AI Vendor Relationships & Procurement
Unlike traditional technology vendors, AI vendors are licensing access to systems whose outputs cannot be fully predicted, whose behaviour can change over time, and whose data practices carry regulatory and commercial risk that most procurement processes are not built to assess.
Services Offered
01
AI Procurement Strategy and Vendor Selection
A well structured AI procurement strategy focuses vendor evaluation on what matters to the business. Procurement is cross functional, involving business, compliance and senior leadership alongside IT and Legal. HAVN Law translates business and technical requirements into legal, risk and governance criteria that can be tested during vendor selection. This includes structuring procurement frameworks, shaping RFP and questionnaire language, identifying key risks early and ensuring vendor commitments can be validated and enforced.
03
AI Vendor Contracts
The outcomes of procurement and due diligence need to be carried through into the contract. AI vendor contracts are not standard technology contracts with an AI clause added. AI systems produce outputs that cannot be fully predicted or guaranteed, which changes how liability, data rights and regulatory obligations must be addressed. Key risk areas include data usage and model training, IP infringement in AI generated outputs, audit rights and data portability. Where vendors have limited room to negotiate due to upstream provider obligations, understanding what is genuinely negotiable at the outset saves time, cost and frustration on both sides.
02
AI Vendor Due Diligence
Once vendors are identified, due diligence moves beyond the sales pitch and product demo. It involves assessing how models are built and trained, how data is used, what security and privacy standards apply, the system regulatory classification and whether governance frameworks will satisfy clients, boards and regulators. For AI vendors, winning enterprise contracts often depends on how well these requirements are anticipated and addressed upfront.
04
Governance Framework for AI Vendor Relationships
Signing an AI vendor contract marks the start of the governance challenge. While AI governance frameworks operate at an enterprise level across the full lifecycle, vendor governance is relationship-specific. AI systems can drift as models change, retrain or decay, requiring monitoring, performance oversight, audits and incident response to identify and address issues before they create commercial, operational or regulatory exposure. For vendors, structured governance supports transparency and accountability in long term relationships.
01
AI Procurement Strategy and Vendor Selection
A well structured AI procurement strategy focuses vendor evaluation on what matters to the business. Procurement is cross functional, involving business, compliance and senior leadership alongside IT and Legal. HAVN Law translates business and technical requirements into legal, risk and governance criteria that can be tested during vendor selection. This includes structuring procurement frameworks, shaping RFP and questionnaire language, identifying key risks early and ensuring vendor commitments can be validated and enforced.
02
AI Vendor Due Diligence
Once vendors are identified, due diligence moves beyond the sales pitch and product demo. It involves assessing how models are built and trained, how data is used, what security and privacy standards apply, the system regulatory classification and whether governance frameworks will satisfy clients, boards and regulators. For AI vendors, winning enterprise contracts often depends on how well these requirements are anticipated and addressed upfront.
03
AI Vendor Contracts
The outcomes of procurement and due diligence need to be carried through into the contract. AI vendor contracts are not standard technology contracts with an AI clause added. AI systems produce outputs that cannot be fully predicted or guaranteed, which changes how liability, data rights and regulatory obligations must be addressed. Key risk areas include data usage and model training, IP infringement in AI generated outputs, audit rights and data portability. Where vendors have limited room to negotiate due to upstream provider obligations, understanding what is genuinely negotiable at the outset saves time, cost and frustration on both sides.
04
Governance Framework for AI Vendor Relationships
Signing an AI vendor contract marks the start of the governance challenge. While AI governance frameworks operate at an enterprise level across the full lifecycle, vendor governance is relationship-specific. AI systems can drift as models change, retrain or decay, requiring monitoring, performance oversight, audits and incident response to identify and address issues before they create commercial, operational or regulatory exposure. For vendors, structured governance supports transparency and accountability in long term relationships.
01
AI Procurement Strategy and Vendor Selection
A well structured AI procurement strategy focuses vendor evaluation on what matters to the business. Procurement is cross functional, involving business, compliance and senior leadership alongside IT and Legal. HAVN Law translates business and technical requirements into legal, risk and governance criteria that can be tested during vendor selection. This includes structuring procurement frameworks, shaping RFP and questionnaire language, identifying key risks early and ensuring vendor commitments can be validated and enforced.
03
AI Vendor Contracts
The outcomes of procurement and due diligence need to be carried through into the contract. AI vendor contracts are not standard technology contracts with an AI clause added. AI systems produce outputs that cannot be fully predicted or guaranteed, which changes how liability, data rights and regulatory obligations must be addressed. Key risk areas include data usage and model training, IP infringement in AI generated outputs, audit rights and data portability. Where vendors have limited room to negotiate due to upstream provider obligations, understanding what is genuinely negotiable at the outset saves time, cost and frustration on both sides.
02
AI Vendor Due Diligence
HAVN Law structures supply and distribution agreements with the future in mind, not just the present. Issues such as pricing strategy, customer relationships, IP protection, exclusivity and brand use are addressed early, protecting the long-term commercial value of the relationship.
04
Governance Framework for AI Vendor Relationships
Signing an AI vendor contract marks the start of the governance challenge. While AI governance frameworks operate at an enterprise level across the full lifecycle, vendor governance is relationship-specific. AI systems can drift as models change, retrain or decay, requiring monitoring, performance oversight, audits and incident response to identify and address issues before they create commercial, operational or regulatory exposure. For vendors, structured governance supports transparency and accountability in long term relationships.
Let's talk about your business.
A short conversation to understand your objectives and how we can help.
Let's talk about your business.
A short conversation to understand your objectives and how we can help.
Let's talk about your business.
A short conversation to understand your objectives and how we can help.
