Our manifest.
Artificial Intelligence challenges all jobs, questioning the human capacity to generate value and knowledge.
At Mottum, it has also challenged us, and that's why we're responding. The traditional consulting model is dead, and that's why it must transform. We're evolving from a knowledge-based model to one based on action and positive impact on people.
We recognize that work begins and ends with people. However, now AI centralizes and democratizes all the knowledge it's trained with, so we humans must enhance our capabilities through it.
How do we do it?
In a world where AI has the knowledge, methodology generates the impact.
Problem framing: We identify the challenge, define the constraints, analyze the data, define the expected value in metrics, and evaluate the risks. Flawless definition.
- Ship fast, fix fast: We work in short value generation cycles.
- From Knowledge to Impact: Recommendations without deployment are just opinions. Impact is measurable change in: cost, revenue, risk, time, public service, or well-being.
- Customer at the Center: We put the customer at the center. We understand their problems and solve them with empathy.
- FDE Teams (Forward Deployed Engineers): We integrate multidisciplinary teams that blend business, data, engineering, and product expertise, working seamlessly with the client's units.
- Deployment as a Service: If it's not deployed, it doesn't transform. Consulting ends when measurable change begins. Design → Construction → Deployment → Operation → Improvement
- Radical Accountability: We always measure ourselves against operational metrics: TtV (time-to-value), adoption, incremental savings/revenue, accuracy/quality, and risk reduction; without forgetting the human values that drive us.
- Critical thinking and the use of AI as core capabilities: We use advanced AI to enhance knowledge in projects. We critically analyze its results.
- AI models are the commodity. Orchestration is the advantage: We choose and combine models (our own or third-party) depending on the problem. The differentiator is integrating them, governing them, and making them produce results quickly and with impact in specific processes.
- We avoid lock-in: We leave assets, practices, and knowledge with the client. We support the governance, traceability, and risk monitoring process.
- Data for Humanity: We always maintain that data and AI serve people and societies. We prioritize uses with a positive social impact. We bring AI closer to people.