A 1-1 coach for every agent on the floor

AI took the easy tickets. Every conversation your team gets now is a hard one

Built from your help center, macros and real tickets. Agents drill the hard conversations before a customer is on the line.

Every 1% improvement in first contact resolution is worth about $286,000 a year to a typical mid size centre. On calls that go unresolved, the agent is the primary source of error in 44% of cases. alltutors fixes that.

• 61% — of contact centre leaders say customer conversations are more difficult now.
• 64% — say emotional intelligence and social interaction training is not available to agents.
• 6 months — for a new agent to reach the level of an average performing agent.

A 1-1 tutor for every agent, built from your product docs, your policies and your real tickets

Agents rehearse the hard conversation before it reaches them, and you see who is ready for the queue.

1-1 teaching works. It has just never scaled

Bloom, 1984 · Educational Researcher

The original studies were small. Later evidence generally finds smaller effects

In 1984 Benjamin Bloom found learners taught one to one outperformed classroom learners by about two standard deviations. Later replications generally find smaller effects, but the direction has held for forty years. The question was never whether 1-1 works. It is that tutors do not multiply. alltutors gives every learner the one-to-one experience

What every agent gets

• Personalized study plans from your docs, macros and tickets. New product release Tuesday means the tutor teaches it Tuesday.
• Custom AI avatars that play your hardest customer. Choose the voice, the accent and the temperament. It does not soften.
• Interactive ticket simulations generated live. Agents work the real resolution path instead of reading the article about it.
• Realtime feedback and queue-readiness analytics. Scored per agent, per conversation type, so you know who is ready for live traffic.

From months of shadowing to agents ready for the queue

Before alltutors: the first hard call happened live, on a customer; EI and de-escalation training rarely available; six months to reach average performance; team leads guessed who could take the queue. With alltutors: the angry customer rehearsed before the queue; a live avatar that does not soften; scored per agent, per conversation type; ready for the queue, or one more week, visibly.

We turned AI tutoring into one of the world’s most-used learning apps. alltutors.ai brings that engine to your team

• 30M+ learners worldwide on apps we’ve built
• Top 3 language-learning app in the world
• 4.8 average rating from 1.2M reviews

Grounded in the tools you already use

Drives, wikis, CRMs, channels. Tutors read from the sources your teams already maintain, stay scoped to their workspace, and cite what they teach.

A 1-1 tutor for every employee, ready anytime

Anything else, a 30-minute demo answers best. Book a demo

• SOC 2 & GDPR ready
• SSO, SAML & audit logs
• Encryption at rest
• Workspace isolation, scoped answers
• Readiness analytics from week one
• Dedicated onboarding & DPA

Frequently asked questions

How do I get new support agents ready for the queue faster?

Give each agent a tutor built from your product docs, macros and real tickets, then score readiness per conversation type. Agents typically take six months to reach the level of an average performer.

How do agents practise difficult customers safely?

An avatar plays the churn risk, the third time caller, the person who is right and furious, and does not back down.

How can customers fix common issues without opening a ticket?

Publish the same tutor to your customers. It walks them through the fix conversationally instead of leaving them to search a help centre.

How do I train customer admins to configure our product themselves?

Build a tutor from your admin documentation that has them configure it in practice first. Admins who have done it once in a simulation open far fewer tickets.

How do we train channel partners to demo and deploy our software?

Partners get their own tutor and their own readiness score, so you know who can demo before you route them a lead.

How is this different from our help centre?

A help centre answers if you already know the question. A tutor teaches the concept, checks understanding and adapts to what the person got wrong.

What kind of customer can agents practise against?

Describe them, for example an angry enterprise admin six weeks from renewal, and alltutors.ai generates the avatar. Voices are a curated set you can sample, so you can vary tone and temperament across drills.

Can I make the practice customer harder?

Yes, by chatting. Feedback style, warmth and playfulness are adjustable, so "make them less willing to be calmed down" changes the drill.

How is the agent’s study plan personalized?

Three levels, phases then units then lessons, built from your own docs and tickets. A tier one hire and a specialist get different routes.

What can I build a support tutor from?

Product documentation, macros and policy as files, links it fetches itself, and a Google Drive connection with selective file picking.

What happens when we ship a new feature?

Point it at the release notes and it teaches them. The tutor updates the day the product does, rather than when the enablement deck gets rewritten.

What lesson formats are available?

Reading, quiz, flashcards, lecture and infographic, plus live conversation practice.

What do team leads see?

Scores per agent and per conversation type, so you can tell who is ready for live traffic and who needs another week.

Can we give the same tutor to customers?

Yes. Publish it and share a link, or keep it private to the team. Same tutor, different audience.

What does it cost?

A free plan covers your first tutor. Team and customer-facing rollouts are priced on scale and contract terms.

Is customer data safe?

Materials, generated content and activity are encrypted at rest and scoped to your workspace, and nothing crosses between customers by default.