GAIL tested whether an AI business coach, reached on any basic phone, could help women microentrepreneurs act on what they already know. This is the story from the first survey to the last coaching call.
The Gender & AI Livelihoods programme, GAIL, is funded by the Gates Foundation and led by Shortlist Futures. It backs organisations using AI to help low-income women across Africa earn more and create jobs. Fortell was selected to build a voice AI coach for women microentrepreneurs in Kenya, delivered on the ground with Inkomoko.
Training rarely turns into lasting change without someone following up: the knowing–doing gap. And most digital tools assume a smartphone, data and digital skills that many women don't have.
Two voice agents that work on any handset that can make a call: one that ran the baseline survey in women's own words, and Maryanne, a coach who calls each woman every week, remembers her business and helps her commit to one small action at a time.
Women running small businesses rarely have anyone in their corner week after week. If coaching works over an ordinary phone call, it can reach the women that workshops and apps miss, week after week, in their own language.
Save 100 shillings a day, or 50 on a bad day.
The next call opens by asking how it went.
Before coaching began, 118 women completed a voice survey with our AI agent over a standard call. They were experienced traders, many far from any business support, and half named capital as the main thing holding them back.
Nearly all of them described something they meant to do for their business but hadn't yet done. That gap between knowing and doing is what the coaching set out to close.
Read the full baseline →“I need more money to earn more money.”A participant at baseline
Share of coaching sessions each month. Kept = the previous commitment was reported as fully done when revisited.
Every call ends with one concrete action, and the next call opens by asking how it went. In June about one in four commitments was fully kept. By September it was more than half.
Over the same months women stopped waiting to be told what to discuss, and by September chose the topic in nearly four sessions in ten.

“It has helped me know whether my business is making a profit or a loss.”On keeping records for the first time
“When you put something on your phone, you get a new customer.”On selling online
“Listen to the customer first. Even if I want to answer in anger, I keep quiet.”On customer service
“It helped me see I had dead stock, so I brought new stock to get customers.”On stock · translated from Kiswahili
“The conversations we had, and I took them seriously. Just following up.”On what helped her keep her commitment
From coaching calls and endline interviews. Anonymised, translated from Kiswahili where needed and lightly edited for clarity.
Field teams tested the coach, listened to calls and visited women in their businesses every week. Each change came from that loop or from patterns in the call data.
Phase 2 takes the coach to 600 women. Phase 3 then scales to 1,000, adding a comparison group to measure income effects, letting women choose when they are called, and linking the coach to savings groups and finance.
One voice instrument, three layers of evidence.
Coaching figures cover every call between 10 June and 25 September 2026; a session is a connected call of two minutes or more. Commitment follow-through is the woman's own account, recorded at the start of her next session. Endline figures come from a follow-up survey of participants matched to their own baseline answers; respondents were among the most engaged users, so these results describe engaged users and are descriptive rather than causal. Phase 1 was designed to test the coaching mechanism, not income impact, which Phase 2 will measure with a larger sample and a comparison group. Quotes are anonymised, translated from Kiswahili where needed and lightly edited for clarity.