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Description
Please note this position is remote globally - preferred time overlap with US time zones
Background
Barely enough is not enough for anyone. Prosper Global is a humanitarian organization working alongside communities facing conflict, climate change, and economic hardship to meet urgent needs and create the conditions for lasting progress. Today's challenges demand new solutions, so we pair local knowledge with global resources to help communities build what's needed, test what's possible, and scale what's proven so that people everywhere can pursue a full life on their own terms. In 2026, we changed our name from Mercy Corps to Prosper Global, to reflect our belief that when every community can prosper, all of humanity moves forward.
The Award Agreement Review Checklist (AARC) is Prosper Global's documented process for reviewing donor agreements before signature. Reviewers examine agreements and supporting documents, identify provisions relevant to each review question, record where supporting information appears, and develop an appropriate response based on technical judgment. This work is essential but requires repeated searching across lengthy documents, transferring information into the review record, and distinguishing routine information gathering from issues requiring expert analysis.
This consultancy will support the validation, design, development, and pilot of an AI-enabled product to improve this workflow. AI tools should assist with locating, organizing, and summarizing relevant information and preparing draft inputs where appropriate. Reviewers will remain responsible for validating evidence, applying professional judgment, resolving ambiguity, and approving the final review record. The assignment will preserve human oversight and remain flexible about the interface and technical form of the product until user needs and business requirements are validated.
Purpose / Project Description
The purpose of this consultancy is to lead the validation, design, development, and pilot of an AI-enabled AARC product that reduces manual information gathering, supports completion of the review template, and helps prepare appropriate donor-facing responses while strengthening consistency, traceability, and effective use of reviewer expertise.
The consultant will serve as Product and Program Lead for a business-led initiative sponsored by Operations Management. The consultant will coordinate directly with business stakeholders and engage IT, Technology for Development (T4D), Data Services, and other technical actors at defined points where their input, review, access, or specialist support is required. The delivery approach must not depend on sustained technical-team capacity and should focus technical participation on essential decisions, safeguards, integration considerations, and handover requirements.
Total estimated level of effort: approximately 3 months, with delivery targeted by late Dec 2026/early Jan 2027.
Consultant Objectives
Validate and refine the existing AARC problem statements, user needs, and business requirements through a time-boxed validation sprint.
Design a practical, user-centered AI-enabled product that assists reviewers with locating relevant agreement provisions, organizing supporting evidence, and preparing draft review inputs and donor responses for human validation and refinement.
Deliver a tested pilot through iterative validation, prototyping, sandbox testing, and live-use testing.
Define and apply appropriate safeguards for accuracy, data protection, responsible AI use, and human review.
Develop the essential product, technical, user, testing, and performance documentation needed for adoption and ongoing management.
Provide a clear, evidence-based recommendation for rollout, maintenance, and any future scaling of the AARC product.
Consultant Activities
The Consultant will:
Problem and solution validation
Begin with the existing proof-of-concept specification, stakeholder mapping, and available AARC process documentation rather than initiating open-ended discovery.
Conduct limited stakeholder interviews and structured validation sessions with the groups already identified in the stakeholder mapping.
Confirm primary pain points, business requirements, priority use cases, and acceptance criteria.
Confirm which AARC review questions may be supported by AI and which require direct human analysis, judgment, or approval-only review.
Solution design and planning
Develop the solution design and delivery approach under the direction of the business owner, engaging technical teams at defined decision and review points.
Define functional and non-functional requirements, the division of work between reviewers and AI tools, user journeys, and essential solution-architecture inputs.
Develop a phased implementation plan covering prototype, sandbox, pilot, and rollout readiness.
Design the approach so delivery can proceed within the required timeframe without assuming sustained capacity from IT, T4D, Data Services, or other technical teams.
Success measures and risk management
Define success measures, performance thresholds, critical failure conditions, and pilot-entry criteria.
Identify product, operational, data-handling, accuracy, and responsible-AI risks and define proportionate mitigation measures.
Track pilot outcomes and prepare an indicative assessment of efficiency gains and potential value using evidence available from the pilot.
Project planning and coordination
Develop and maintain the detailed workplan, timeline, dependencies, and level-of-effort estimates.
Prepare a focused stakeholder engagement plan and responsibility matrix that reflects business ownership and targeted technical participation.
Coordinate business contributors and secure timely input from technology actors where required.
Development, testing, and pilot delivery
Lead development of the initial prototype and manage iterative refinement against agreed acceptance criteria.
Develop and implement a test plan covering priority use cases, accuracy, completeness, usability, critical failure conditions, data handling, and agreed acceptance criteria for pilot entry.
Coordinate sandbox and pilot testing with users.
Assess pilot performance against agreed accuracy, usability, efficiency, and risk thresholds.
Gather feedback, maintain an issue and improvement log, and drive prioritized refinements.
Documentation, handover, and recommendations
Develop concise user guidance and handover notes sufficient for internal owners to operate, assess, and govern the pilot after the engagement
Maintain a decision and open-issues log covering technical, governance, data, and support items requiring internal ownership after the engagement.
Assess performance, document lessons learned, and recommend whether and how the product should proceed to rollout or further refinement.
Consultant Deliverables
The Consultant will deliver:
1. Validation and requirements package
Problem-validation summary, confirmed priority use cases, business requirements, and defined scope of AI assistance.
Initial success measures, performance thresholds, acceptance criteria, and product risk assessment.
2. Solution design and delivery plan
Solution design documentation, including user journeys, functional and non-functional requirements, division of work between reviewers and AI tools, and essential architecture inputs.
Detailed workplan, timeline, dependency and level-of-effort estimates, stakeholder engagement plan, and responsibility matrix.
Staged implementation plan covering prototype, sandbox, pilot, and rollout readiness.
3. Prototype, testing, and pilot package
Working prototype and documented iteration history.
Test plan and quality-assurance approach, including human validation of AI outputs and defined critical failure conditions.
Pilot plan, execution summary, issue log, and improvement log.
4. Governance handover package
Essential user guidance and recommendations for training materials.
Practical handover notes sufficient for designated internal owners to operate, monitor, and govern the pilot
5. Performance assessment and recommendation
Pilot performance assessment covering agreed measures such as accuracy, completeness, usability, review-time reduction, and risk thresholds.
Indicative assessment of efficiency gains and potential value based on available pilot evidence.
Executive summary and presentation materials with a recommendation for rollout, maintenance, further refinement, and any future scaling.
Timeframe / Schedule
The final schedule and due dates will be confirmed at contracting. The engagement is expected to target completion within 12 weeks, with limited contingency negotiable if required. Activities may overlap or iterate where this supports timely delivery, provided core milestones and decision points remain clear.
Target timing
Primary focus
Expected outputs
Week 1
Kickoff and validation launch
Project kickoff; confirmation of scope, working assumptions, available materials, stakeholder map, priority use cases, validation plan, and immediate information needs. Materials may be shared earlier after NDA execution, but pre-kickoff review is not expected outside the engagement.
Weeks 2-3
Requirements, safeguards, and test-data prep
Work arrangement
Yes
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