Understand the company’s need
Start with a real task, such as finding low inventory or helping an employee handle a lost card.
Enterprise AI Integration Gateway
One AI core.
Three enterprise deployments.
Kipa helps companies connect AI to software they already use. It controls what the AI can see, gives it only approved tasks, and keeps important actions under human approval.
OPENAI RESPONSES APIPOSTGRESQL + PGVECTORFASTAPI + DOCKERROLE-AWARE TOOLING
01 / PLAIN-ENGLISH WALKTHROUGH
How Kipa fits
into a company.
Kipa sits between a company's existing software and an AI model. Here is the journey from a business need to a useful, controlled AI workflow.
Connect approved systems
Link only the systems needed for that task, such as internal APIs, documents, ticketing tools, or read-only database views.
Choose the right AI model
Select a model based on the company’s needs for accuracy, speed, cost, and data handling.
Control what the AI receives
Hide unnecessary sensitive details and send only the documents or records required to answer the request.
Give AI limited abilities
Provide narrow, approved tasks—such as checking inventory or card status—instead of unrestricted system access.
Require human approval
The AI can recommend an important action, but an authorized person must approve it before anything changes.
Test before use
Check normal requests, unauthorized roles, sensitive-data protection, and attempts to bypass approval.
What is built versus possible: This implementation uses OpenAI. Other providers show where the same integration design could connect a different model.
SIMPLE EXAMPLEA lost bank card
- Customer reports a lost card
- Kipa checks approved account information
- Sensitive details are hidden
- AI recommends a card freeze
- Authorized employee approves
- Existing bank system performs the action
TECHNICAL WORDS, SIMPLE MEANINGS
You do not need AI jargon
to understand the product.
- RAG
- Finding the right company documents
- Role-based access
- Giving different employees different access
- Data masking
- Hiding sensitive information
- Tool calling
- Letting AI perform a small, predefined task
- Approval gate
- Requiring a person before an important action
02 / PRODUCT DEMONSTRATION
This is Kipa
in action.
Choose a simulated client and employee role, then replay how the implemented Kipa backend protects data, retrieves company knowledge, calls approved tools, and pauses important actions for a person.
EMPLOYEE REQUEST
“Customer CUST-1001 reports a lost card; propose a freeze.”
01Identity checked✓
02Data protected✓
03Policy found✓
04Tool called✓
05Audit written✓
Only the authenticated client adapter can make this request.
Raw or unnecessary sensitive fields were removed first.
Source: Lost-card policy §2.1
Identity checks are complete. The card is eligible for a freeze, but it has not been frozen yet.
HUMAN APPROVAL REQUIREDFreeze card ending 1234APR-BANK-1042 · approval.requested · query.completed
WHAT YOU ARE SEEING
This is an interactive replay of workflows implemented and tested in the Kipa backend. It uses representative simulated client data—not a live bank, hospital, or logistics system.
03 / CLIENT ADAPTATION
Same platform.
Different constraints.
Each deployment reuses the shared AI core, then swaps in client-specific tools, privacy rules, retrieval scopes, and approval boundaries.
DEPLOYMENT 01 / Operations manager
Northstar Logistics
Turn live inventory signals and internal operating policy into a safe reorder workflow.
USER REQUEST
“Which SKUs are below threshold, and what should we reorder first?”
EVALUATION REPLAY● 4/4 scenarios passed
- 01Read inventory✓
- 02Retrieve policy✓
- 03Draft recommendation✓
- 04Request approval✓
GROUNDED RESPONSE
SKU-184 is 42 units below its reorder point. Recommend 120 units from the preferred supplier.
↗ LOG-POL-001 · Reorder policy §3.2
APPROVAL BOUNDARYManager approval required before purchase order creation
04 / PATTERN APPLICABILITY
Three demonstrations.
Many possible environments.
Kipa's reusable idea is the controlled connection between AI and an organization's existing software. Different industries would keep the shared core while supplying their own systems, permissions, policies, and approval rules.
Student support
Connect school policies and student systems to help advisors find information and prepare next steps.
ROLE-LIMITED RECORDS · STAFF APPROVALPublic services
Search service procedures, summarize case information, redact personal data, and route decisions.
CASE SCOPE · REDACTION · AUDITClaims assistance
Organize claim documents, retrieve policy terms, identify missing information, and prepare human review.
POLICY GROUNDING · HUMAN REVIEWMaintenance support
Combine equipment data and manuals to explain issues and propose work orders without controlling machinery.
LIVE DATA · SAFETY GATESService operations
Connect CRM records, product documentation, and ticketing tools while minimizing customer information.
CRM TOOLS · DATA MINIMIZATIONDocument workflows
Search approved internal material, summarize case documents, and prepare drafts for authorized review.
ACCESS SCOPE · SOURCE CITATIONSCONCEPTUAL APPLICATIONS — NOT IMPLEMENTED FEATURES
Each environment would require its own client adapter, permissions, data controls, tests, and evaluation scenarios—just like the three demonstrations above.
05 / SYSTEM ARCHITECTURE
The integration is
the product.
Kipa is intentionally model-light and systems-heavy. The model reasons over only the context and tools allowed for the authenticated tenant and role.
01 · ENTRY
REQUESTFastAPI gateway
Deployment + JWT context
02 · CONTROL PLANE
POLICYAuth + orchestrator
Role, tenant, tool allowlist
03 · AI CORE
REASONINGOpenAI Responses API
gpt-4o-mini + tool calls
04 · CLIENT EDGE
ADAPTERSAPIs + pgvector
Scoped data and policy RAG
AUDIT LOGCITATIONSAPPROVAL GATESOBSERVABILITY
Isolate first
Deployment identity flows through authentication, retrieval, tools, approvals, and audit records.
Minimize context
Sensitive fields are removed before the request reaches the model, not cleaned up afterward.
Gate side effects
The model can recommend an action; a permitted human must approve high-impact execution.
06 / ENGINEERING EVIDENCE
Built to be inspected,
not just demoed.
Kipa's capabilities are backed by automated tests and live, deployment-specific evaluation scenarios—not screenshots of a happy path.
LOGISTICS
4 / 4Inventory lookup, policy grounding, reorder recommendation, approval creation.
BANKING
4 / 4PII masking, account scoping, lost-card policy, freeze approval boundary.
HEALTHCARE
4 / 4PHI minimization, time-bounded EHR access, SOP citation, clinical restraint.
PROJECT POSITIONING
A junior-scale build with
enterprise-shaped decisions.
Kipa does not pretend to recreate a hospital, bank, or logistics platform. It proves the work a Forward Deployed Engineer performs at their boundary: understand the client, adapt the product, integrate safely, and verify the outcome.
AI integrationRAG designAPI engineeringSecurity thinkingEvaluationDocker delivery