AI Consultant

Burn Manufacturing

BURN is working to create a world where cooking positively impacts all life on earth, by producing the world’s most efficient cooking appliances.


BURN is the world’s largest vertically integrated modern cookstove company, providing world-class R&D, manufacturing, and carbon offset projects from our HQ in Kenya and across 10 countries in Africa.

BURN is working to create a world where cooking positively impacts all life on Earth, by producing the world’s most efficient biomass, liquid fuel, and electric cookstoves.

Since 2013, BURN has sold over 3.6 million stoves in Africa. These stoves have helped 20+ million beneficiaries save over $590 million in fuel expenditures and 8.1 million tons of wood while reducing indoor air pollution by 65%. Our team of 2500+ people – 51% of whom are women – is on track to produce and sell over 150,000 stoves per month in 2022 at our solar-powered facility in Kenya.

  1. Background:

BURN is seeking proposals from qualified AI consultants to comprehensively review our existing company processes and identify areas that can be automated using artificial intelligence technologies. We recognize the importance of leveraging automation to enhance efficiency, reduce costs, and improve overall productivity.

  1. Objective:

The primary objective of this engagement is technologies and current processes, identify tasks that can be automated through the use of AI technologies, and provide actionable recommendations for their implementation. The consultant will work closely with our internal teams to understand our specific requirements and devise a roadmap for integrating AI solutions into our operations.

  1. Scope of Work:

The AI consultant will be responsible for the following tasks:

   a. Process Assessment:

  • Conduct a thorough assessment of our existing processes across various departments and functions.
  • Identify and document each process’s key tasks, workflows, and pain points.
  • Analyze process dependencies and interactions between different departments.
  • Determine AI automation’s suitability and potential impact on each process.

   b. AI Technology Evaluation:

  •  Evaluate the available AI technologies and tools applicable to the identified processes.
  • Assess the feasibility, scalability, and compatibility of these technologies with our existing systems and infrastructure.
  •  Consider factors such as data requirements, training time, and potential risks associated with each technology.

   c. Recommendations and Roadmap:

  • Prepare a detailed report outlining the processes recommended for automation using AI.
  • Provide a comprehensive roadmap for implementing the recommended AI solutions, including timelines, milestones, and resource requirements.
  • Clearly articulate the anticipated benefits, risks, and challenges associated with each recommended automation initiative.
  • Suggest strategies for change management and employee training to ensure a smooth transition.

   d. Collaboration and Communication:

  • Collaborate closely with the internal teams to gather insights, requirements, and feedback throughout the project.
  • Conduct regular progress meetings and presentations to update the management and stakeholders on findings and recommendations.
  • Provide support and guidance during the implementation phase, if required.

4. Proposal Submission:

Interested AI consultants are requested to submit a comprehensive proposal that includes the following:

   a. Overview:

  • A brief introduction to the consultant, highlighting relevant experience and expertise in AI process automation.
  • Understanding of our company’s industry, operations, and challenges.

   b. Methodology:

  • Detailed outline of the consultant’s approach to conducting the process review and automation assessment.
  • Description of the tools, techniques, and frameworks that will be utilized during the engagement.

   c. Team Composition:

  • Profiles of key team members who will be involved in the project, emphasizing their qualifications and previous relevant experience.

   d. Project Timeline:

  • Proposed timeline with key milestones and deliverables.
  • The estimated effort required for each phase of the project.

   e. Budget:

  • A financial proposal detailing the cost structure, including fees and any additional expenses.
  • Any terms and conditions related to payment, deliverables, and project cancellation.

5. Evaluation Criteria:

The proposals received will be evaluated based on the following criteria:

   a. Expertise and Experience:

  • Relevance of the consultant’s experience in AI process automation.
  • Track record of successful projects and client references.

   b. Methodology and Approach:

  • Clarity and comprehensiveness of the proposed methodology.
  • Alignment of the approach with our company’s requirements and objectives.

   c. Team Composition:

  • Expertise and qualifications of the proposed team members.
  • Ability to work collaboratively and effectively communicate with our internal stakeholders.

   d. Cost and Value:

  • Reasonableness and competitiveness of the financial proposal.
  • Perceived value and potential return on investment of the proposed engagement.

6. Proposal Submission Details:

  • Please submit your proposal in electronic format to

7. Confidentiality:

All proposals and related materials submitted shall be treated as confidential by BURN. However, BURN reserves the right to share the proposals with internal stakeholders for evaluation purposes only.

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