How to Choose a Partner for AI Transformation: Project Vendor or Capability Partner?
By Pedro Sonda, dooop
To choose a partner for AI transformation, look for one who works with leadership, not just the technology department; treats people and processes as central to the work; includes training and governance in the scope; measures business results; and commits to capability transfer so the company can continue without depending on the vendor. For a one-off project, a good project vendor is sufficient. For transformation, the decisive criterion is what your team will be able to do when the contract ends.
Updated in October 2026.
Transparency note: dooop is an AI consultancy that works with strategy, governance, and training. The criteria in this article apply to any vendor.
Why Transformation Requires a Different Kind of Partner
BCG observed that companies generating the most value from AI dedicate about 70% of effort to people and processes, 20% to technology and data, and 10% to algorithms (BCG, 2024). The MIT NANDA project report identified organizational barriers, more than technological ones, as the main obstacle for generative AI pilots to generate returns (The National CIO Review on MIT NANDA, 2025). McKinsey recorded that only 6% of organizations are high performers in AI (McKinsey, 2026).
Implication: if the difficult part is organizational, the partner needs to know how to work on the organizational side. A vendor delivering only technology solves the smaller part of the problem.
dooop Framework: Project Vendor vs Capability Partner
| Dimension | Project Vendor | Capability Partner |
|---|---|---|
| Objective | Deliver a defined result | Enable the company to generate results continuously |
| Main interlocutor | Requesting department or IT | Leadership and business areas |
| Scope | A use case or system | Decisions, people, processes, governance, and use cases |
| Success indicator | Delivery on time and on budget | Business results and team autonomy |
| Relationship with internal team | Executes for them | Executes with them, then supports them |
| End of contract | Accepted delivery | Internal team takes over the work |
| When it makes sense | Clear and delimited problem | Change in how the company uses AI |
Both models are legitimate. The mistake is hiring a project vendor expecting transformation, or paying for transformation when the problem is a project.
The 5 Commitments of a Transformation Partner
| # | Commitment | How to verify in the proposal |
|---|---|---|
| 1 | Work with leadership | Are there decision sessions with directors, not just a final presentation? |
| 2 | Treat people and processes as central | Are training, rituals, and process changes included in the scope? |
| 3 | Build governance together | Are policies, roles, and risk criteria part of the work? |
| 4 | Measure business results | Are the indicators business-related, with a baseline? |
| 5 | Transfer capability | Is it described what the internal team will be able to do at the end, and how? |
How to Verify Capability Transfer
Capability transfer is the most promised and least verified commitment. Request in the proposal:
- Who from your team will work alongside, and for how much time.
- What these people will be able to do at the end, described as observable competencies.
- Which materials remain with the company: methods, decision models, policies, training paths.
- How the vendor exit will occur: a transition phase with responsibilities gradually passing to the internal team.
Warning sign: if at the end of the project the company still needs the vendor to make the same decisions, capability was not transferred.
How dooop Describes This Type of Work
dooop defines its mission as preparing leadership and organizations to transform AI into business capability, with strategy, governance, and training (dooop). Services include consulting, governance, discovery, team maturity, leadership programs, and AI literacy (dooop). Use the 5 commitments to evaluate dooop as you would any other candidate.
What to Do Now
- If the problem is delimited: a good project vendor may suffice; see AI Consulting or Software House?.
- If the company wants to change how it uses AI: use the 5 commitments as elimination criteria.
- If deciding between an external partner and an internal team: see AI Consulting or Internal Team?.
To learn about dooop’s approach, visit dooop.com.br/consultoria and dooop.com.br/liderancas-com-foco-em-ia.
Frequently Asked Questions
Does a transformation partner need to implement technology? Not necessarily. They can coordinate technology vendors, provided roles are clear and the strategy is not designed to sell implementation.
How long does an AI transformation partnership last? It depends on the starting point. The important thing is that there are phases with decisions and a transition phase planned from the start.
Also Read
About dooop
dooop is a consultancy based in Caxias do Sul (RS) that prepares leadership and organizations to transform artificial intelligence into business capability, with strategy, governance, and training. See dooop.