# Results, not software: AI operating capacity for sales, training and operations | Kemeny Studio

> Companies buy a bounded, measurable result from Kemeny Studio. AI does the work; Kemeny Studio builds, runs, supervises and improves the operating capacity behind it. Buying starts with one result, one KPI and a defined responsibility boundary, then expands in volume, channels, processes and scope.

## Who does what
- **You:** Receive the result. You buy a bounded, measurable result with an agreed KPI. Not licenses, not development hours.
- **The AI:** Does the work. It answers, follows up, qualifies, grades, validates and reconciles. Continuously, inside your rules.
- **Kemeny:** Builds, runs and improves the capacity. We design, connect, deploy, supervise and continuously improve the operating system behind the result.

## Not software. Operating capacity.
You don't buy another tool to operate yourself. We put AI capacity into production around work that needs to get done.
1. **Define the result.** Agree on the work, the boundary and how performance will be measured.
2. **Build the capacity.** Connect the required agents, systems, data and human supervision.
3. **Run & improve.** Operate it, handle exceptions, measure performance and continuously improve it.

## One result first.
You don't hand us your whole operation. You start with one piece of work, prove it, and expand from there.
- **One piece of work.** Bounded: what is in and what is out.
- **One measurable output.** What gets delivered, and where you see it.
- **One KPI.** Baselined before we start, so the change shows up in numbers.
- **One responsibility boundary.** What the AI does, what we supervise, what stays with your team.

Then we expand: volume, channels, processes, scope. Once the first result holds against its KPI. One step at a time, each with its own measure.

## 01. Sales Execution
The AI answers and follows up. Your sellers close. Start with: Inbound lead response + follow-up.
- We take over: The layer between an inbound lead and a meeting or an order.
- The work · done by AI: Answers every inbound lead; Follows up on every open conversation; Qualifies against your criteria; Recovers dormant opportunities; Books meetings and processes orders and bookings; Keeps the CRM or ERP up to date; Escalates exceptions to a person, with context
- What you get: More qualified conversations. Fewer lost opportunities. Every lead answered and logged, with a pipeline your sales leadership can see.
- Measured by: Response time; Contact rate; Qualification rate; Meetings booked; Opportunities recovered
- Stays with your team: The rules and the close: who qualifies, what can be offered, when a person steps in, and the conversations that need a seller.
- Clients today: GPG, Autorenta, Librería Nacional

## 02. Learning & Performance
The AI produces and grades. Your experts approve. Start with: Training delivery + assessment.
- We take over: Producing your training, and the practice and assessment around it.
- The work · done by AI: Turns your experts' material into course content; Keeps the content up to date; Generates activities and assessments; Runs roleplay simulations; Grades against your rubrics; Gives each person feedback and coaching; Records progress in your LMS
- What you get: More approved content. More graded practice. Content your experts approved, and practice that gets graded and returns to each person as feedback.
- Measured by: Time from expert material to approved content; Practice sessions per person; Grading turnaround; Completion rate; Score change between assessments
- Stays with your team: Your experts approve the content and own the rubrics. Your managers decide what to do with the results.
- Clients today: Laureate, Laboratorio Chile / Teva

## 03. Operational Control
The AI prepares every case. Your team signs off. Start with: One case or document process.
- We take over: Cases, documents and exceptions, from intake to close.
- The work · done by AI: Receives and classifies requests; Reads and validates documents; Builds case files; Reconciles information across systems; Routes approvals; Resolves exceptions or escalates them; Keeps the evidence trail; Tracks SLAs and closing times
- What you get: Cases closed within SLA. Evidence on file. Shorter cycles, fewer errors and reconciliations that no longer wait on a person.
- Measured by: Cycle time per case; Cases closed within SLA; Error rate; Backlog; Share reconciled without manual work
- Stays with your team: Approvals that need a signature, policy decisions and the exceptions you choose to keep.
- Clients today: Laureate, GPG

## Work already in production
Figures from our published cases. When a figure is reported rather than measured, we say so. We describe clients by sector, not by name.
- **School-supplies retailer, Chile.** In production since Dec 2025. Reading school supply lists and matching every item to the catalog. The client reports seasonal headcount held while the number of schools rose. Evidence: 97.9% of lists extracted successfully. 190,325 items across 7,563 lists. 4.3% go to human review.
- **Higher-education group, Mexico.** In production, on the client's infrastructure. Producing AI learning content and delivering it inside the LMS. Activities inside the LMS, with grade passback. Releases go through the client's change-control committee. Evidence: 20,000+ students. 66,000+ feedback responses so far.
- **Car rental, Mexico.** In production, with real customer traffic. Serving customers on WhatsApp and web. Anything that needs a person goes to the client's own agents, through three escalation paths. Evidence: Real customers, every day. Each escalation is taken by one agent, with automatic re-notification.
- **Marketplace operator, Chile and Mexico.** In production, with nominated users. Giving planning, logistics and management a data layer they query with AI. Planning went from two-week test loads to a complete monthly plan. Evidence: 14+ months of daily use. Efficiency gain reported by us, not independently measured.
All published cases: https://kemenystudio.com/cases

## Clients
GPG, Autorenta, Librería Nacional, Laureate, Laboratorio Chile / Teva, Banorte, Midea, BBDO, MediaBrands, Beta San Miguel, Unifrutti, UVM, UCentral, CIAL, BNAmericas, Examedi, Finvero, GMS, Instance, QServus, SES, AutoExpertos, Akya.

## Before you buy
**What exactly does Kemeny take responsibility for?** For the capacity that produces the result: that it runs, that exceptions get handled, that performance is measured and that it keeps improving. You receive the result; we operate what produces it.

**What is a “result” in practice?** A bounded piece of work with a measurable output. For example: every inbound lead answered and followed up, every trainee's practice graded, or every case of one type closed within SLA. It has a KPI and a baseline.

**How do we define the first result?** Start with the Workflow Fit Check. It is free and returns a first read on the work, a suggested KPI and a scope. If it fits, we agree on the work, its boundary and how it will be measured in a working session.

**How is performance measured?** Against the KPI we agree when we define the result, with a baseline taken before we start. We report it to you as we run the work.

**What happens when the AI cannot complete the work?** It escalates. Every result has a defined exception path: what the AI can't close goes to our supervision or to the person on your team we agreed on, with the context attached. Those exceptions are also what we use to improve it.

**What remains with our team?** The decisions: the rules, the approvals that need a signature, and the work you choose to keep. Each domain shows what usually stays with you, and we write it down when we define the result.

**How does it expand after the first result?** Once the first result holds against its KPI, we add volume, channels, processes or scope, one step at a time and each with its own measure.

**How does Kemeny supervise the AI?** Our team follows the work the AI does: reviews exceptions, checks performance against the KPI, adjusts rules and instructions, and improves the system over time. You set how far it can act on its own.

**How does pricing work?** We don't publish prices. It depends on the work we take over: its volume, its channels and the systems involved. We put a number on it when we define the first result.

**Is our data secure?** We connect only what the work needs and keep a record of what the AI did. Where you want a person to sign off, there is an approval step. Security and integration constraints are part of defining the first result.

**Do you replace our systems?** No. The AI works on top of the CRM, ERP, LMS and channels you already use.

**Do we need a technical team?** Not to run it. You need someone who owns the process and access to the data and systems. We run it day to day.

**Got another question?** Tell us what work you want off your plate and what's holding you back. We'll answer for your case. https://kemenystudio.com/company/contact

The first step is the Workflow Fit Check (https://kemenystudio.com/ai-workflow-fit-check), free, with an on-screen result.

Spanish: https://kemenystudio.com/es/sistemas-ia

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