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Kenaz

Custom AI Agents

Complete Intelligent Systems — Systems That Think, Decide, and Improve

We design and build applied AI agents for specific business processes. No marketing fluff: real integrations, clear logic, measurable results. Global delivery, tech stack tailored to your needs.

Benchmarks & SLOs

Generic replies ↓47%
Semantic frameworks
Agent MTTR ↓38%
Ops remediation
Approval lead-time ↓2–4 weeks
Compliance-ready workflows
PII/PHI exposure events ↓
Privacy-by-design

Quick Answers

What is a custom AI agent for regulated industries?

A production service that observes data, invokes tools, and makes bounded decisions under explicit policies, KPIs, and audit controls. Built privacy-by-design.

Are you GDPR/HIPAA-ready?

Yes. Role-based access, data minimization, encryption, comprehensive logging, and audit trails mapped to GDPR/HIPAA controls.

How to avoid GDPR fines for AI systems?

Do quarterly audits, keep rigorous decision logs, train on GDPR-approved data, and enable real-time monitoring with breach alerts.

FinTech examples

AML/KYC automation, transaction monitoring, regulatory reporting with explainable decisions.

Medical examples

PHI-safe document processing, clinical note summarization, intake triage with access controls.

Industrial examples

Industrial IoT safety, predictive maintenance with guardrails, edge audit logging for compliance.

Telecom examples

Customer ops automation, large-scale fraud detection, PII-safe assistants with retention policies.

Starter Kits

Fintech AML/KYC Kit

Fintech AML/KYC Kit Pipeline Diagram
Click to expand

How To:

  • • Ingest KYC documents via secure pipeline
  • • Screen sanctions/PEP lists and adverse media
  • • Generate explainable risk scores
  • • Route escalations to reviewers with RBAC
  • • Log decisions for RoPA/DPIA
  • • Export auditor-ready evidence

Outcomes:

  • • Approval lead-time ↓2–4 weeks
  • • Auditor-ready evidence in minutes

Healthcare PHI Agent

Healthcare PHI Agent Pipeline Diagram
Click to expand

How To:

  • • Detect and classify PHI/PII
  • • Apply redaction/minimization policies
  • • Encrypt in transit/at rest
  • • Route with approvals and access logs
  • • Retain per policy; purge on schedule
  • • Export audit trails

Outcomes:

  • • PHI exposure events ↓
  • • Audit response time ↓

Industrial Ops Agent

Industrial Ops Agent Pipeline Diagram
Click to expand

How To:

  • • Ingest telemetry and events
  • • Detect anomalies and trigger alerts
  • • Execute first-line remediation playbooks
  • • Escalate with context and approvals
  • • Record immutable audit logs
  • • Publish SLO dashboards

Outcomes:

  • • MTTD/MTTR ↓
  • • Change failure rate ↓

Sales/CRM Agent

Sales/CRM Agent Pipeline Diagram
Click to expand

How To:

  • • Retrieve customer context (RAG)
  • • Enforce policies/guardrails on actions
  • • Log decisions and recommendations
  • • Sync updates to CRM with approvals
  • • Monitor quality metrics
  • • Continuously improve prompts/tools

Outcomes:

  • • Generic replies ↓47%
  • • Conversion rate ↑
AI Architecture

What We Actually Do

End-to-end AI agent systems designed specifically for regulated industries, ensuring seamless compliance and measurable business outcomes.

Build task-specific AI agents with explicit policies and guardrails
Integrate with regulated systems (API/DB/CRM/ERP/BI/IoT)
Implement RAG, function calls, schedulers, and job queues
Add compliant memory (vector/graph) and decision routing (policy/routers/ReAct)
Enforce observability: logs, tracing, quality metrics, audit trails
Provide documentation, runbooks, and SLA; GDPR/HIPAA-ready

Agents vs Chatbots vs RPA vs LLM apps

CapabilityAgentsChatbotsRPALLM apps
Observability & auditability+
Workflow control & approvals+
Compliance evidence+
Integration depth++
SLOs (quality/latency)+
TCO at scale+

Deliverables

Deployed Agent Systems

Production-ready agents in your infrastructure, integrated with existing systems.

Complete Documentation

Architecture diagrams, operational playbooks, maintenance instructions, and decision transparency through comprehensive logging.

Quality Metrics

Operational SLO/KPI dashboards, performance monitoring, and continuous quality control mechanisms.

Knowledge Transfer

Your team trained to manage, maintain, and evolve the agent systems independently.

Process

Rapid, secure, and fully transparent AI deployment from discovery to production readiness in under 12 weeks.

1-2 weeks

Discovery

  • • Define goals, integrations, and KPIs
  • • Assess risks, regulatory scope, and technical constraints
  • • Create architecture blueprint (privacy-by-design)
3-6 weeks

PoC / MVP

  • • Build prototype with bounded scope and controls
  • • Test with real data/workflows; PHI/PII safeguards
  • • Validate approach; refine requirements and risks
6-12 weeks

Production

  • • Harden decision logic and guardrails
  • • Complete integrations, security, and access control
  • • Deploy observability, audit logs, and documentation

Typical Use Cases

Ideal for fintech compliance automation, medical data privacy, industrial IoT safety, and regulated telco environments.

FinTech: AML/KYC automation, transaction monitoring, regulatory reporting
Medical: PHI-safe document processing, clinical note summarization, intake triage
Support/sales assistant with data and CRM access
Operational agents: monitoring, alerts, escalation, ticketing
IIoT/Edge: local rules, offline operation, secure sync

Architecture Flexibility

Cloud / Hybrid / On-prem / Edge deployment
Single agent or orchestrated multi-agent systems
Commercial LLMs, open-source, or custom fine-tuned models
Postgres, pgvector, Redis, Neo4j, S3-compatible storage
Secret isolation, access control, and audit security

Investment Levels

Discovery & Architecture

CHF 15,000

Analysis, architecture package, integration plan, risk and budget assessment

PoC Agent

CHF 40,000

Prototype of one agent, 1-2 integrations, basic logic, observability

Production Agent

CHF 90,000-150,000

Production-ready agent, 3+ integrations, security, monitoring, documentation

Annual SLA

CHF 25,000-60,000/year

Support, model updates, quality improvements, priority response

Pricing is indicative and depends on scope, number of integrations, and security requirements. All projects are estimated individually.

What We Need From You

Access to APIs/data (test/sanitized environments)
Dedicated contacts for integrations
Clear acceptance criteria (KPI/SLO)

Agent Pipeline Orchestration

On request, we develop complete agent pipelines to orchestrate entire departments or processes. For large-scale implementations, this is scoped as a separate project.

AI Agent Development

Ready to Build Intelligent Systems?

Let's discuss your specific requirements and design agents that actually understand your business. No generic solutions — only systems built for your exact needs.