Workflow Diagnostic
1 focused weekFor a costly process that everyone knows is broken—but nobody has fully mapped.
You leave withOperational map, risk register, technical architecture, and an executable build plan.
AI-native systems for consequential operations
Software for work that can’t afford to fail.
Kotoh Labs turns brittle, high-stakes workflows into secure software for healthcare, government, and operationally complex businesses.
REQUIREMENT TRACE / 014 CONTROLLED
OPERATIONInbound sensitive document
01
Receive + encrypt
PASSManaged boundary · durable event
02
Extract + classify
TRACEModel output · source retained
03
Human approval
PASSAuthority preserved · action logged
Evidence, not adjectives
Production systems Sensitive-data workflows Human-approved AI Secure cloud delivery Requirement traceability
Our point of view
AI is not the product.
Leverage is.
We use AI throughout discovery, engineering, QA, and operations—but never as a substitute for judgment. The result is a smaller, sharper team shipping ambitious systems with less ceremony and more proof.
Selected systems / built + operating
Real surfaces from real operational software.
No speculative concepts. These are working systems designed around the constraints operators actually face.
The operation
One accountable workflow across the patient journey.
Commerce, intake, clinical handoffs, fulfillment, support, and audit trails were treated as one operating system—not a collection of disconnected screens.
- Constraint
- Sensitive data across multiple systems and teams
- System
- Patient intake, operator ledger, events, reminders, and controls
- Proof
- Redacted production interface shown at right
- Workflow design
- Case management
- Auditability
The decision layer
Customer conversations turned into operating signals.
A live intelligence layer classifies recurring themes, preserves representative evidence, and shows teams what is changing without storing raw conversation bodies.
- Constraint
- High-volume support data with privacy boundaries
- System
- Source integration, classification, trend comparison, evidence views
- Control
- Excerpts redacted; raw conversations not retained
- Applied AI
- Privacy design
- Decision support
The evidence system
An opportunity engine that refuses to invent confidence.
SAM.gov notices become versioned, reviewable decisions. Requirements stay connected to their sources, hard eligibility gates remain hard, and every recommendation exposes its evidence.
- Constraint
- Changing solicitations, attachments, deadlines, and eligibility
- System
- API ingestion, amendment history, document extraction, scoring
- Authority
- Humans approve pursuit and submission decisions
- SAM.gov API
- Immutable versions
- Cited requirements
OPPORTUNITY / VERSION 04REVIEW REQUIRED
PORTFOLIO FIT82/100
PASS
NAICS alignmentSource: solicitation cover page
PASS
Past performanceSource: portfolio evidence 03, 07
CHECK
Registration statusHuman verification required
PASS
Response windowAmendment 04 · deadline changed
How we engage
Start narrow.
Ship something real.
Earn the next step.
No giant transformation program required. We begin with the smallest consequential system and build outward from evidence.
Production Pilot
3–6 weeksFor a high-value workflow that needs to become working software, not another prototype.
You leave withA deployed system, real integrations, security boundaries, tests, and operating documentation.
Embedded Systems Partner
OngoingFor teams that need senior product engineering without assembling a large internal group.
You leave withContinuous product delivery, automation, AI operations, observability, and controls.
Who does the work
Direct senior involvement, from the first workflow map to production.
Kotoh Labs is led by Ian Schechter. Strategy, product judgment, architecture, and implementation stay connected—so the person understanding the operation is also accountable for what ships.
“The advantage is not adding AI to a process. It is understanding the process well enough to rebuild it.”Work directly with Kotoh
Built into the system
Traceable by default
Requirements connect to decisions, code, tests, controls, and deployment evidence.
Secure in the architecture
Least privilege, data boundaries, failure modes, and rollback are designed before they become cleanup work.
Human where it matters
AI moves the work faster. People retain authority over consequential claims, releases, and decisions.
Commercial + public sector
Mission software without the innovation theater.
We work directly with operators and alongside established delivery partners on workflow automation, secure applications, document intelligence, and cloud modernization.
Federal entity registration in progressCapability and teaming conversations are open now.
Request the capability brief Before we talk
Straight answers to useful questions.
01What kind of project is a good fit?+
A workflow with real operational weight: too many handoffs, sensitive data, brittle spreadsheets, disconnected systems, or decisions that need evidence. The best starting point is narrow, valuable, and painful today.
02Do you replace our existing tools?+
Usually not. We first connect and strengthen what already works. When a new system is justified, we design it around the real operation and integrate it into the surrounding stack.
03Where does AI make decisions?+
Only where the risk allows it. AI can extract, classify, summarize, draft, and prioritize. Consequential claims, releases, and approvals stay traceable and human-controlled.
04Who owns the work?+
You do. Engagements are designed for operational independence: documented architecture, clear interfaces, visible controls, and no mystery layer between your team and the system.
Have a hard workflow?
Show us where the work breaks.
Give us the operational truth. We’ll respond with a point of view—not a generic sales sequence.
01
You send the briefThree useful questions. About three minutes.
02
We study the operationWe look for leverage, risk, and the narrowest valuable start.
03
You get a direct responseIf there is a fit, we propose a focused first step.