Access your dashboard, courses and certificates.
Free to register, pay only when you enrol.
[tutor_registration]We will send a reset link to your email.
[tutor_dashboard_password_reset]The AI assistant can speed up indicators, MEL frameworks, data-collection tools, analysis and evaluation reports, or it can breach your organisation's AI-use policy, produce figures and evidence that will not survive a donor's check, and leave reports that read as generic machine text rather than your own account of what a programme achieved. In each three-hour session your coach watches how you direct the assistant on your own indicators, MEL frameworks, surveys, data and evaluation reports, corrects your method live, and closes with a check against your AI-use policy. You drive the assistant, verify every output, and stay the author throughout.
One coach, hands-on · Live one-to-one AI sessions, three hours each · Built for African NGO monitoring and evaluation officers
A skill is acquired by doing it under guidance, not by reading a prompt list. You can memorise clever prompts and still frame an indicator that will not measure, trust a figure the assistant invented, or hand in an evaluation report that reads as machine-made. Coaching is where the method becomes yours: you direct the AI assistant on your own indicators, MEL frameworks, surveys, data and evaluation reports, your coach corrects your method in the moment, and each session adds another governed technique your frameworks, tools, data, findings and reports depend on, from precise briefing through to verification, ethical disclosure and a repeatable workflow. Open any pillar below to see how it moves your work.
Every module follows the same learning loop. The coach demonstrates the technique, you direct the AI yourself on your own material, and your method is corrected and checked until it is sound. You never simply copy a prompt alone and hope it holds.
Why this matters: A tool you do not drive is a tool you do not own. Practising the skill yourself is what makes it yours.
Across the coaching: this doing-it-yourself loop runs through all eight modules, from AI foundations to a complete governed AI workflow.
See the ten modulesYou work with one coach who stays with you for the whole engagement. They come to know your programme, your indicators and your habits, so the guidance is specific to you rather than generic advice repeated to a room.
Why this matters: Continuity compounds. A coach who already knows your work can go straight to what matters, session after session.
Note: your coach never replaces or overrules your programme manager. They work alongside your team, so the drafts you take back are already sharper.
See the ten modulesYou direct the AI on the work that matters, your own indicator framework, survey tool or evaluation report, or on practice material if you are equipping ahead. The prompt you refine, the indicator you frame, the analysis you plan and the paragraph you revise are all on your real work.
Why this matters: Method applied to your own file turns into real progress the same session, not abstract prompts you still have to transfer.
The bright line: you drive the AI throughout. The coach guides and corrects your method, but never has the AI do your work for you.
See the ten modulesBecause the coach watches you direct the AI live, you are corrected the instant your method slips, not weeks later. A prompt that invites fabrication, a figure the AI invented, a report that reads as machine-made, all caught while you are still in the work.
Why this matters: Correction in the moment is the fastest way to build a skill. You do not carry the mistake into the next report.
How it lands: you leave each session with three concrete things to practise, so the correction turns straight into your next stretch of M&E work.
See the ten modulesMost M&E officers are doing this around a heavy workload, family or distance. The coaching is built for exactly that: focused three-hour sessions you schedule flexibly, with the hands-on work done live and a clear method to practise between them.
Why this matters: A few focused sessions become a method you own, because the rhythm respects the little time a busy officer can spare.
Your session, mapped: the switcher further down the page walks through the cycle, from your prep to the compliance check.
See the ten modulesThe governed AI method you build in coaching does not expire when this evaluation is delivered. Built once, it carries you through the next programmes, and through the frameworks, surveys and analyses that come after.
Why this matters: You are not renting help for one deadline. You are building a craft that serves every piece of M&E work you ever produce.
See the packages: Compare the three coaching packages
See the ten modulesCoaching builds the governed AI method into you, so you can drive the AI yourself, on this programme and every one after it. You verify and own every output, and the method stays with you for good.
Every module follows the same loop: the coach shows the technique, you direct the AI assistant on your own work, and your method is corrected until it is sound and disclosable. Together they carry you from AI foundations to a complete, governed AI workflow you can explain and defend. The path below moves on its own from 01 to 10; hover the card or use the pause button to take your time, or select any step to jump.
Your journey, 01 to 10
Most M&E officers juggle their work with demanding programme schedules and tight donor deadlines, so the coaching is built in focused three-hour sessions rather than a long course. The hands-on work happens in the session, where you direct the AI on your own material while the coach corrects your method, and between sessions you practise it yourself. Here is what a session cycle looks like.
Before your session you choose the real work you want to drive AI on: an indicator framework to design, a survey tool to build, a dataset to plan the analysis for, or an evaluation report to revise in your own voice.
You also bring your organisation's AI-use policy where you have one; if you do not, AOSARS supplies its default M&E integrity protocol for AI use. Nothing is required beforehand but your own task.
The session opens by framing the task: what you are asking the AI to accelerate, what stays yours to decide, and where the integrity line falls for this piece of work.
Your coach sets the governance up front, so every prompt that follows is disclosable and every output is one you can stand behind.
This is the heart of the session. You drive the AI on your real task while the coach watches your method: how you prompt, how you feed in your programme data, how you push back on a weak or invented answer.
The coach corrects the method in the moment, so a prompt that invites fabrication or a figure the AI made up is caught while you are still in the work, never after.
Every session closes the same way: a check of what you produced against your organisation's AI-use policy, so each AI-assisted step is disclosed, defensible and yours to explain.
You leave knowing exactly which steps used AI, how, and how you would account for each one to a donor or auditor.
Between sessions you run the same governed method on more of your own work: design the next set of indicators, run the next analysis, revise the next report section, keeping the AI as the instrument and yourself as the author.
You leave each session with three concrete things to practise, so the method sets into habit before you meet again.
Within five working days of your session, a written summary of your method and the corrections follows, so nothing from the session is lost and you can act on it in your own time.
That summary, plus your three practice tasks, is what turns a few sessions into a governed AI method you own, and it holds across every programme that follows.
Plays through on its own. Hover to pause, or click any day to jump.
A view of one session cycle. The hands-on work happens in the live session, and every session closes with a check against your organisation's AI-use policy.
Every session runs the same way, so you always know what to expect and how to prepare.
Coaching builds the governed AI method into you, not into a saved chat. These are the skills you walk away able to use yourself, on this programme and every one after it, and to explain to any donor, auditor or programme manager.
Understand what the AI assistant can and cannot do for M&E work, prompt it precisely, and keep it the instrument while you stay the author of every output.
Use AI to shape indicators and MEL frameworks, design baseline and endline instruments, and clean and analyse your programme data, then verify everything it returns so your M&E work is quicker to build and still trustworthy.
Use AI to structure and pressure-test your evaluation reports, then revise them in your own voice, so the writing is stronger and never a machine-made substitute.
Catch invented figures and findings, check them against your dataset and the programme records, and close every step against your organisation's AI-use policy, so a misuse flag or a credibility query stops being a threat.
Assemble a disclosed, defensible AI method across your whole monitoring-to-evaluation cycle that you can explain to any donor, auditor or programme manager, and keep it for every programme after this one.
All three are built on the same one-to-one, hands-on AI coaching, in three-hour live sessions on your own M&E work. They differ in how many of the ten skill modules they cover: live coaching on the core modules 01 to 03; the same plus modules 04 to 07 with six months of e-learning access to modules 01 to 07; or, at the top tier, the complete set of all ten modules with six months of e-learning access to every module. You pay to enrol, then schedule your sessions. Most M&E officers choose the middle option.
Modules 01 to 03. Get the assistant working safely and accurately and choose a plan that spends your credits well, prompt it precisely on monitoring, evaluation and data-analysis tasks, and keep your use ethical and honest with accurate answers, no invented content and private and confidential data protected.
All modules. Adds evidence and desk review, a logframe with indicator reference sheets, field-ready data-collection instruments, key informant interviews and focus group discussions, a cleaned dataset, and the quantitative analysis you run and the qualitative data you code, the specialist quantitative, qualitative and dataset work that is the niche of NGO evaluation, through to a donor-ready evaluation and decision-ready analysis report, figures reconciled to source, everyday office-software work, a business-development process map that marks where AI adds leverage, and a reusable system of responsible-AI standard procedures, templates and job-specific routines you keep.
All modules applied to your own monitoring, evaluation and data-analysis work, with a supervised deliverable the Practitioner package does not carry: a build of your own live evaluation, your indicators, instruments, dataset and report worked with you across the quantitative, qualitative and dataset work that NGO evaluation turns on, plus a coached rehearsal of your findings against donor-style questioning, every judgement authored and owned by you. One-to-one work is applied to your own evaluation, you leave with a business-development process map, a responsible-AI standard operating procedure, templates and job-specific routines you can reuse, and six months of e-learning access, your storage and your data held in your own tenancy, lets you revisit any module in your own time.
Two low-pressure ways to explore before you enrol: ask us to call you back on WhatsApp at a time that suits you, or book a fit call to talk it through and review your AI method and your M&E work together. Neither commits you to anything.
Leave your details and the time that suits you. We call you on WhatsApp, so it costs you nothing.
Pick a slot yourself on our calendar and we meet by video. We can talk it through and, if you like, review your work together.
The questions M&E officers ask most before enrolling. If yours is not here, ask before you pay.
We answer every enquiry personally, usually within a day, before you commit to anything.
It is one-to-one coaching, not a prompt guide or a video course. In each three-hour session a coach watches how you direct the AI assistant on your own indicators, MEL frameworks, surveys, data and evaluation reports, and corrects your method in the moment, which a static guide cannot do. You drive the AI throughout; the coach builds the governed method with you, and the skill stays yours.
You learn to drive the AI assistant as a drafting and cross-check partner, used alongside the tools you already work in: Word for MEL plans and evaluation reports, Excel or SPSS for data cleaning and analysis, a field data tool such as KoboToolbox or ODK for survey and data collection, PowerPoint for evaluation briefs, and your own programme records and dataset for verification. Everything runs on your own laptop or desktop, and you drive all of it yourself.
No, and that is the bright line. The coach never has the AI design your indicators, build your survey tool or write your evaluation report, and never does it for you either. You direct the AI, you verify it, and you own every output. The coaching builds your method; it never produces the work you submit to a donor.
That worry is exactly what this coaching removes. You build a disclosed, governed method, and every session closes with a check against your organisation's AI-use policy, so each AI-assisted step is one you can explain and stand behind. You bring your organisation's policy or the donor's requirements if you have them; if not, we supply a default integrity protocol for AI use.
No. You are welcome to bring your own indicator framework, MEL plan, survey instrument or dataset, but nobody is required to. AOSARS supplies a practice indicator set and a sample dataset, and its default integrity protocol, for anyone who prefers to start there. The method you build is the same either way.
Each session is three hours, one-to-one and live. The Foundation tier is two sessions, six hours in all; the Toolkit and Workflow Partner tiers are three sessions, nine hours in all. Sessions are scheduled flexibly around your workload and donor deadlines. There is no e-learning component; the value is the live, corrected practice, and a written summary of your method follows within five working days of each session.
No. The coaching suits monitoring and evaluation officers, MEL officers and coordinators, programme officers who carry M&E, and anyone in an NGO who has to design indicators, run surveys, analyse programme data or write evaluation reports. The coach tunes the work to your role and the M&E tasks you actually handle, so the AI method fits how you already work.
You enrol through secure checkout and pay in your local currency, by card, bank transfer or mobile money where it is supported. Payment confirms your place, and we then email you instructions for scheduling your sessions. If you are unsure which tier fits before you pay, email info@aosars.com or use the no-commitment options above.
Enrol today and turn the AI assistant into a governed accelerator you drive and own, in focused three-hour sessions on your own indicators, MEL frameworks, surveys, data and evaluation reports.
One coach, hands-on. Live one-to-one AI sessions, three hours each. Pay in your local currency on mobile money, card or bank transfer.
