Turn one critical workflowinto a production AI systemin 4 to 8 weeks.
Show us a process where humans are doing work software should be doing. We build the system that removes it.
100+ workflows in production · 95% accuracy across 90K+ transactions · finance, operations, support and compliance
No junior handoffs. The senior team that designs the system is the team that launches and operates it.
For operations, innovation and technology teams in enterprises with manual, high-volume or compliance-heavy workflows.
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.
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. CRM, operations, agents, documents, data: those are use cases of the same offer. The Fit Check is the door; this is what sits behind it.
100+
AI workflows deployed
95%
Accuracy on 90K+ transactions
100%
Call QA coverage (vs 3% manual)
3.5x
Team output multiplier
Agents in production
HR & Performance
AI that evaluates open-ended answers at scale. HR and managers see performance data continuously rather than on a delayed manual cycle.
Sales Training
AI sales coach that trains reps through live conversation. Every new hire gets a senior mentor available 24/7.
Education
AI that processes student data across many schools overnight, with predictable cost regardless of input format.
E-commerce
AI that recovers abandoned carts and manages B2B inventory automatically. The sales team stops chasing orders manually.
L&D / Compliance
AI that centralizes training content, certifications, and compliance records. L&D stops living in spreadsheets.
Regulatory
AI that answers regulatory questions from your approved sources and exports audit-ready reports, without manual research.
Enterprise Security
AI layer over Microsoft 365 and NetSuite. Every action logged with full audit trails, access locked down, nothing moves without a record.
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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