Upgrade Every Sales Rep to
Top 1% Performer

An AI Coach is a coaching system that lives inside the selling workflow, not in a training calendar.
It scores every rep on SKILL and WILL, generates coaching content built around that rep's specific gaps (as data, video, and PDF), runs mock calls against a simulated retailer persona, and gives instant scoring and feedback. It works through a four-step loop the rep repeats:

Watch an expert pitch

Run a mock call

Run a live practice conversation

Get scored feedback

The reason it can generate personalized content rather than serve a fixed library is architectural. AI Coach runs on the AI Native platform, whose GenAI/LLM-ready data structure transforms unstructured material — your pitch decks, product PDFs, training videos, and knowledge base — into structured coaching content, then composes it per rep against their scored gaps.
That's why no two reps get the same coaching programme, and why a new product launch becomes rep-ready content rather than a training project.

Two scores that measure different things:

SKILL measures capability — whether the rep knows how to pitch, handle objections, position a new product, and close.

WILL measures engagement and effort — whether they're actually doing it.

Every rep carries both, alongside performance analytics, and the two together explain a result that either alone would misdiagnose.
The distinction is what makes the coaching correct rather than generic — because the two failure modes need opposite interventions:

High SKILL, low WILL → needs motivation, incentive design, or a conversation about what's going on. Sending more training is wasted.

High WILL, low SKILL → working hard at the wrong pitch. Needs practice, not pressure.

Most coaching systems collapse both into one performance number, then prescribe the same intervention to two people with opposite problems.

Yes — and against a realistic retailer persona, not a scripted quiz.
Reps rehearse the objections they actually meet — price pushback, competitor comparison, shelf-space denial — with the AI playing the retailer, then get scored on the response with specific guidance on how to improve it. There's a graded path:

Watch an expert pitch

Run a mock call

Run a live practice conversation

Get feedback

Practicing against your own commercial reality is what separates this from generic roleplay training. The simulation uses your products, your pricing, your schemes, and the objections that occur in your markets — because the coach reads the same catalogue and outlet data the rep's app does. A rep rehearsing a new launch is rehearsing the actual conversation they'll have that week.

No. It removes the part of coaching that cannot scale: sitting with every rep individually, every week, in every territory.
One trainer cannot personalize for a thousand reps, and a manager with fifteen reps cannot observe enough calls to know who needs what. AI Coach does the observation, scoring, and personalized practice — continuously, and for everyone.
Managers get the part they could not previously have. SKILL and WILL scorecards with performance analytics show precisely who needs coaching on what, so the human conversation starts from a diagnosis rather than a hunch, and the supervisor's own workflow surfaces which reps carry the highest opportunity. Trainers move from delivering content to designing what good looks like — and the AI delivers it to every rep in the field.

Coaching is contextual to the outlet the rep is standing in front of. Guidance is based on that store, its SKUs, and its opportunity; prompts and pitch support appear during the call rather than in a pre-visit briefing; and store-level one-minute tips on new products and promotions land before the conversation starts. Nothing takes the rep out of the visit.
One minute is the design constraint that matters. A general trade visit lasts minutes, so coaching that requires the rep to stop, read, and reflect will be skipped — and skipped coaching is the reason field training decays. Because the coach reads the same live outlet and product data as the order screen, the tip is specific to what the rep is about to sell in that store, rather than a general reminder.