Website BURN
BURN designs, manufactures, and distributes aspirational fuel-efficient cooking products that save lives and forests in the developing world.BURN has revolutionized the global cookstove sector by proving the business case for selling a high quality, locally manufactured and unsubsidized cookstoves.S… read moreince 2013, BURN has sold 200,000+ high quality, locally manufactured and unsubsidized jikokoas â„¢ stoves in East Africa. These stoves have helped 1,000,000+ beneficiaries save $39 million in fuel expenditures and 626,221 tons of wood while reducing indoor air pollution by 65%. BURN currently sells ~10,000 stoves per month and intend to double sales by the end of 2017.
Overview
The goal of this consultancy is to work closely with functional leaders and Senior Management to identify the most critical and resource-intensive workflows and make them more efficient by leveraging AI.
Collaborate with department heads and key stakeholders to map workflows end-to-end
Jointly define metrics to evaluate productivity for each workflow, with SMT input
Identify inefficiencies and opportunities for AI-supported optimisation or automation
Design and support the roll-out of pilots for new AI-powered workflows
Lead company-wide implementation, including project planning, training, documentation & standardization across markets etc.
Scope
This exercise will span the following functions and their constituent departments:
Product. Product Management, Market research, Software, IT
External Affairs. Communications, Grants & Partnerships, Government Relations
Commercial. Electric & Biomass Ops, Carbon Technical, Carbon Strategy, Carbon Sales, Carbon Excellence & Distribution
People. HR Operations, Talent, Travel
Manufacturing. Planning & Inventory, Quality, Ops Excellence, Tooling, Logistics
Finance. Finance, Fundraising, Risk, Audit, Internal Audit, Tax, Legal, Carbon Investment,
Proposal Submission:
Interested AI consultants are requested to submit a comprehensive proposal that includes the following:
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.
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 utilised during the engagement.
Team Composition:
Profiles of key team members who will be involved in the project, emphasising their qualifications and previous relevant experience.
Project Timeline:
Proposed timeline with key milestones and deliverables.
The estimated effort required for each phase of the project.
Budget:
A financial proposal detailing the cost structure, including fees and any additional expenses.
Evaluation Criteria:
The proposals received will be evaluated based on the following criteria:
Expertise and Experience:
Relevance of the consultant’s experience in AI process automation.
Track record of successful projects and client references.
Methodology and Approach:
Clarity and comprehensiveness of the proposed methodology.
Alignment of the approach with our company’s requirements and objectives.
Team Composition:
Expertise and qualifications of the proposed team members.
Ability to work collaboratively and effectively communicate with our internal stakeholders.
Cost and Value:
Reasonableness and competitiveness of the financial proposal.
Perceived value and potential return on investment of the proposed engagement.
Proposal Submission Details:
Please submit your CV and portfolio of relevant work as part of your application
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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