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Consultancy
Consultancy
Contractor: IPPF Harm Mitigation Task Force AI/LLM Pilot Project
Closing date: Jul 13, 2026
BackgroundIPPF is a global service provider and a leading advocate of sexual and reproductive health and rights (SRHR) for all. IPPF provides SRHR services in 151 countries and runs approximately 28,000 health service delivery points worldwide. It seeks to influence governments and other key decision-making bodies to make policy and legislative changes that support or defend SRHR. IPPF also conducts a range of education, awareness and empowerment programmes that supports its key mandate of SRHR for all.Overview of the engagementIPPF, in recognition of the urgent and significant changes in the funding landscape for sexual and reproductive health and rights (SRHR) programming, convened a global, multi-disciplinary Harm Mitigation Task Force (HMTF) to coordinate an effective response, to Member Associations (MAs). This led to channeling support through Harm Mitigation Emergency Grants, with the purpose of sustaining critical existing services, with a focus on harm reduction for the most vulnerable and excluded populations.It is within this context that IPPF is seeking to engage a qualified consultant or agency to develop and customize an AI/LLM-based solution to strengthen the proposal review and grant-reporting-review process. The solution will be designed to assess the quality of MA proposals and reports, draw actionable insights from programme documentation, and support the HMTF in efficiently processing and analyzing HMTF proposals and reports generated from the delivery of the implemented programmes. There are an estimated 20 projects per funding cycle, with proposals and reports of no more than 10 pages each, plus historical review and reference documents of the same page length (e.g. Request for Proposals and Reporting guidance and templates).PurposeReason the project is taking placeThere is an urgent need for a scalable, accurate, and efficient solution to review and quality-assure these proposals and reports at pace, and to draw meaningful programme insights to inform decision-making. To address this, IPPF seeks to develop a Reports Review and Quality Assurance (QA) solution, built within the Microsoft Co-pilot Enterprise environment, to enable the HMTF to review multiple reports and proposals at scale, with speed and accuracy.The solution would achieve the following:Operate within the IPPF SharePoint and Co-pilot environment, ensuring seamless integration with existing organisational systems and workflows;Function as a reliable reference tool, supporting structured and consistent review processes across the Secretariat;Handle English language reports and documents, with the potential to scale across IPPF's other official languages - French, Spanish, and Arabic - with accuracy and consistency;Integrate Explainable AI (XAI) mechanisms, ensuring that hallucinations and semantic collapse/inconsistencies can be identified, audited, and traced as document volumes scale; andIncorporate quality assurance dynamics through a design that enables ongoing integration with IPPF's QA frameworks and review standards.Roles and ResponsibilitiesContractor’s specific roles and responsibilities:Develop a progressive training pipeline, iteratively refining the model using HMTF report and proposal data to improve performance, contextual accuracy, and cross-domain reasoning;Test, identify, and mitigate semantic collapse, and strengthen the model's multi-modality and multi-data types cross-reasoning capabilities;Work closely with the HMTF team to ensure the report and proposal review environment attains high levels of accuracy and is developed in full alignment with the requirements set out in these Terms of Reference;Identify and implement robust solutions for monitoring, auditing, and addressing model decay or degradation in output quality over time, ensuring the long-term reliability of the solution;Lead the deployment of the solution within the IPPF SharePoint and Co-pilot Enterprise environment, ensuring seamless integration with existing organisational systems and QA workflows;Develop a comprehensive user manual and prompting guidelines, providing staff with clear, practical guidance on effective interaction with the AI/LLM solution;Design and deliver targeted training for staff who will be using the model (4-6 staff members) and system administratorsDeploy a proof-of-concept prototype in a sandbox environment before a full roll out and functioning model / system;IPPF’s specific roles and responsibilities: Support the contractor in achieving agreed outcomes by providing appropriate guidance and directionSupport testing, review, and improvement of the solutionTimelineCommencement date:Contractor services to commence July 2026Proof of concept: Mid to late AugustMinimum viable product: Late September to early OctoberThe solution includes, but is not limited to connectors (API’s) integration, prompt guidelines, user manual, maintenance documentation and monitoring processesWarranty period of 60 days following completion should be included to address model and integration errors.Ongoing support and maintenance should be addressed in additional quote (see section 7).Milestones and deliverablesKey milestones are as follows:1. Proof of concept (PoC) – Estimated level of effort: 15 consultancy days. Submission and approval of a prototype system requirements specification (SRS) and system design documentCompletion of iterative model training, validation against test datasets, reports, spreadsheets, and formal evaluation of model accuracy, performance, and cross-reasoning capabilities across the HMTF’s target data repository.Functional integration of the prototype within the IPPF Secretariat Microsoft SharePoint environment, with connected and functional data pipelines capable of processing HMTF reports and documents in Word, PDF, and Excel formats. 2. Minimum Viable Product (MVP): Estimated level of effort- 20consultancy days.Fully working system integrated within Microsoft Copilot Enterprise developed in line with the approved SRS documentFully deployed Roll-out, and Staff Training both IT system management and staff users of the HMTF-Decision-Support lite systemUser guide and maintenance guide documentation.Contractor requirementsExperience required:Demonstrated expertise in the design, development, and optimisation of deep learning (neural networks) systemsDeep knowledge of multimodal LLM architectures, including the ability to process and reasonKnowledge of Microsoft Co-Foundry for Multiple LLM deploymentsKnowledge of Co-pilot and OpenAI integration with office 365 Implementation of agentic AI frameworks for structuring quality assuranceAgentic AI ExpertiseKnowledge in UI & UX designPrior experience developing applications with multilingual capabilities is desirable.Skills:Project/Programme ManagementExcellent communication skills, oral, written and presentationUser-centred training across diverse regions and languages Application information To apply for this consultancy, please submit a proposal responding to the requirements of the consultancy opportunity. Proposal(s) are to be submitted at REcob@ippf.org with the subject line ‘Proposal for AI / LLM Solutions Architect’ no later than COB on 13th July 17:30 BST 2026. Proposals must include both a technical and financial proposal and must follow the format detailed in the attached ToR.
Consultancy
RFP: Design, Development, Implementation, and Maintenance of Phase-3 IPPF Dashboard
Closing date: Jul 15, 2026
Background and ObjectiveThe International Planned Parenthood Federation (IPPF) is a global service provider and a leading advocate of sexual and reproductive health, rights and justice (SRHRJ) for all. It works to deliver this through its worldwide network of 120 Member Associations, working in 129 countries, with an active presence in further 13 countries, totalling about 150 countries. IPPF’s work is wide-ranging, including comprehensive sexuality education, provision of contraceptives, safe abortion, maternal care, and responding to humanitarian crises. IPPF’s mission is to lead a locally owned, globally connected civil society movement that provides and enables services and champions sexual and reproductive health and rights for all, especially the under-served.Over the years, IPPF has implemented multiple operational and reporting systems to support programme delivery, financial management, accreditation, and performance monitoring. As a result, critical data required for decision-making is distributed across several platforms, including business planning systems, service delivery platforms (e.g., DHIS2), financial systems (e.g., NetSuite), accreditation systems, and Excel-based processes. While these systems individually serve operational needs, they create challenges in achieving a consolidated, timely, and analytically consistent view of organisational performance. Key challenges that IPPF faced included fragmentation of data across multiple source systems, dependence on manual consolidation and validation for reporting, limited ability to perform disaggregated analysis (including for humanitarian programmes and geographical service delivery reach), inconsistent accessibility of insights for decision-makers and programme teams, and a growing need for self-service analytics with reduced dependency on external vendors. To address these challenges and to strengthen organisational information systems, IPPF has developed and implemented an interactive cloud-based platform (the IPPF Dashboard) to consolidate and present quantitative data collected from Member Associations and collaborative partners across the Federation.PurposeThe overall purpose of the dashboard is to facilitate data/ evidence-based support from the secretariat to the Member Associations (MAs) and Collaborative Partners (CPs) by ensuringdata collected through secretariat wide applications/ processes is consolidated, triangulated and analysed in relation to results achieved,evidence-based support/ oversight and evidence based organisational decision-making.Scope of WorkBuilding on Phases 1 and 2, which established a centralized Azure-based data architecture comprising structured data ingestion pipelines, a Snowflake Enterprise Data Warehouse (EDW), and a Power BI reporting layer, Phase 3 will strengthen integration maturity, automate data workflows, optimize the data model and system performance, reinforce data governance controls, and expand analytical capabilities.Phase 3 will also extend the coverage and practical utilisation of the dashboard, positioning it as a comprehensive analytical platform that supports evidence-based reporting and informed, data-driven decision-making. In addition, the phase will introduce advanced integration mechanisms and AI-enabled user interaction features to address evolving reporting requirements and enhance overall decision intelligence. Application ProcessInterested firms should submit the following:Profile of the firm/ including key resources to be deployed on the assignment.Technical Proposal detailing their approach including methodologies and timelines.Financial Quote specifying the fee and any other anticipated costs.Relevant references and a portfolio of at least 2-3 similar past projects, if available.Clarification of request for proposalA prospective bidder requiring any clarification on the TOR may notify IPPF by e-mail. They shall submit any queries related to the TOR document in the following format in excel or word format only to mddt@ippf.org by 30 June 2026. The responses (explanation of the query but without identifying the source of the inquiry) to these queries shall be uploaded on the IPPF website for ready reference of all prospective bidders.How to applyProposals must be sent via email to the email address: mddt@ippf.org. The Bids (Technical and Financial) must be received by IPPF in the requisite format as mentioned above no later than 5PM BST on 15 July 2026.
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