Kemeny StudioTurn manual work into a production AI system.
We design, build and implement AI agents, automations and custom software so your team can focus on what actually matters.
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The door
Show us a process. We build the system that removes it.
A production AI system for one process, in 4 to 8 weeks, fixed scope. The first step is the Workflow Fit Check. If it is a candidate, we talk. Sprint or a direct production build is decided in that conversation, not on this page.
The Workflow Fit Check is the self-serve public door. If you already know the process, Apply is the admissions form.
01
Fit Check
Free. Tell us the process. See if it is a candidate.
02
We talk
A working session with a senior operator. We put a number on your case there.
03
We build
The production system, typically 4 to 8 weeks, fixed scope.
Portfolio
What we've built
Kemeny Studio is an AI-first software factory. One kind of work: a human process that software should be doing, turned into a production system. Those are the kinds of processes we replace — CRM ops, documents, sales/service flows, data work — not a menu of separate businesses. The Fit Check is the door; this is what sits behind it.
190,325
Items extracted, school-supplies retailer, Chile
97.9%
List-level extraction success
20,000+
Students on AI-generated LMS content
14+
Months of daily use, marketplace planning
Agents in production
School supplies · Chile
Document intelligence in production since Dec 2025: 190,325 items extracted, 7,563 lists, more than 200 active schools, peak of 316 lists in a day. 97.9% list-level extraction success. 95.7% resolved on first pass, 4.3% sent to human review. About US$0.01 per list.
Higher education · Mexico
AI learning content inside the LMS: about 150 active activities, more than 20,000 students, more than 66,000 accumulated feedback responses. Full LTI 1.3, on the client’s cloud.
Marketplaces · Chile and Mexico
Controlled MCP layer, daily use for 14+ months. Seven commercial accounts. Planning went from two-week test loads to a complete monthly plan. Efficiency gain reported by us, not independently measured.
Sales training · Chile · pilot
Controlled pilot, pharmaceutical: 52 sessions, 32 graded evaluations, and a grounding audit of 237 questions that found 192 unsupported answers, reported to the client. Not in the production count.
Car rental · Mexico
Public MCP server used from 17 countries, verified by a direct call to the endpoint. JSON-RPC 2.0.
Family attraction · Chile
Production completed May to Aug 2025: 12,583 messages, 1,273 unique users, 15 weeks. NPS 68.6 on 86 valid responses.
The problem
You already know which process is slowing you down. What you don't know is whether AI actually fixes it.
You have a manual, fragmented, or high-volume workflow. Open-ended pilots stretch into months and proofs of concept never touch your real data. Start with the Fit Check. If it is a candidate, we talk. If it still has to be proven, a Sprint measures one workflow against one KPI in ten business days and we tell you whether to scale, revise, or stop.
Where we start
Three kinds of workflow, one delivery system
Sales & customer operations
- WhatsApp sales agents
- Lead qualification
- Abandoned-cart recovery
Education & workforce systems
- Admissions pre-evaluation
- Course generation
- AI learning assistants
Documents, compliance & regulated workflows
- Contract processing
- Document-health assessment
- Regulatory record creation
Our operating model
From idea to production
01
Define the system
Product scope, workflows, data, users
02
Build the software
Apps, portals, dashboards, platforms
03
Connect the business
CRM, ERP, APIs, databases, reporting
04
Add AI where it helps
Agents, copilots, extraction, review
05
Operate and improve
Monitoring, support, new versions
Currently used for sales, operations, support, reporting, and internal tools.
How it works
Ten business days. Five phases. One measured result.
Days 1-2
Kickoff and scope
Days 3-4
Baseline
Days 5-8
Build
Day 9
Measure
Day 10
Recommendation
What you get
- One bounded workflow and one KPI
- A working automation on your real data
- A baseline and the measured result
- Security and integration constraints
- A production scope with an estimate
- A recommendation: scale, revise, or stop
The investment depends on your workflow and your systems. Run the Workflow Fit Check, and if it is a strong candidate it returns a tailored scope and we take it into a working session to put a number on your case.
The ladder
Start with one workflow. Scale only if it works.
Workflow Fit Check
Free. See if your workflow is a candidate. Then we talk.
Validation Sprint
If it still has to be proven: one workflow, one measured result, 10 business days.
Production Build
The system in production, typically 4 to 8 weeks, fixed scope.
Managed AI Operations
We operate and improve it. You govern.
Systems we connect to
Frequently Asked Questions
What does 'managed service' mean?
How fast can you go live?
What if it doesn't work?
How is this different from hiring a consulting firm?
What workflows can you automate?
Your team is doing work the system should be running
Pick the process slowing you down. We map it, tell you what a production system would take, and whether we are the right firm to build it.
Review my workflowWe take on a limited number of engagements.
Analysis
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