Zaply
Zaply
Zaply
Zaply
Services · AI & Data

Integrate AI into the systems your business already runs.

We implement language models, agentic workflows, and retrieval pipelines directly into your existing CRMs, ERPs, databases, and internal tools — selecting the right architecture and model for your specific use case.

Talk to the teamMVP in 4 weeks · Production in 8–12
Language ModelsAgentic WorkflowsRAG PipelinesCRM IntegrationERP IntegrationAPI ConnectorsDocument ProcessingAutomation

What we deliver

Everything needed to go from use case to live system.

Production-Ready AI System

Not a demo, not a PoC — a hardened, tested system running in your environment with real data, real users, and real load from day one of launch.

Model Selection & Fine-Tuning

We evaluate GPT-4, Claude, Llama, Mistral, and domain-specific models against your use case, then fine-tune or prompt-engineer the best fit. You're never locked into a single vendor.

System Integration

REST APIs, webhooks, and native connectors to your CRM, ERP, databases, and internal tools. The AI plugs into your workflow — your workflow doesn't change for the AI.

Monitoring & Continuous Improvement

Dashboards tracking accuracy, latency, token cost, and failure rates. Drift detection, alert thresholds, and a feedback loop that improves the model from real usage data.

Why us

Why choose Zaply as your AI implementation partner?

We don't build demos. We build systems that run in production — integrated with your stack, observable from day one, and designed to last.

01

Production-first mindset

Every system we build is designed for production from day one. Real data, real users, real load — not a proof-of-concept that collapses at the first edge case.

02

Model-agnostic selection

We evaluate every major language model against your use case. You get the best fit — not the stack we're most familiar with.

03

Full-stack AI expertise

From data pipelines and LLM integration to deployment and monitoring — we cover the entire stack so there are no gaps between the AI and the system it runs inside.

04

Built-in observability

Every system ships with logging, traces, dashboards, and alert thresholds. You can see exactly what's happening, what's failing, and what's improving — from launch day.

Tech stack

Model-agnostic. Stack-flexible.

We work with best-in-class tools across the entire AI implementation stack — and we choose based on your use case, not our preferences.

AI Models

Large language models · Multimodal models · Domain-specific models · Open-source models

LLM Orchestration

Agent frameworks · Chain orchestration · Multi-agent systems

Vector Databases

Semantic search · Embedding stores · Hybrid retrieval systems

Cloud & Infrastructure

Managed AI APIs · Self-hosted inference · Edge deployment

Integration Layer

REST APIs · Webhooks · CRM/ERP connectors · Internal tools

Observability

Trace logging · Quality dashboards · Cost tracking · Drift detection

How it works

From definition to production in 8–12 weeks.

01

Define

We lock in scope, success metrics, data sources, and integration points before writing a single line of code. Ambiguity here costs 10x later.

02

MVP in 4 weeks

A working system connected to real data, capable of handling core scenarios. Internal users can start testing. Edge cases are documented, not guessed.

03

Integrate & Harden

We connect the AI to your existing stack, run load tests, add error handling, build escalation paths, and prepare for the scenarios that will definitely happen in production.

04

Deploy & Hand Over

Production launch with runbooks, monitoring configured, and a knowledge transfer session. Your team can operate, debug, and improve the system without us.

Areas of application

Where does this apply in your organization?

Concrete examples of how this capability translates into real business impact by department.

Customer Service

  • Automatic ticket classification
  • AI chatbot deployment

Sales & Marketing

  • Email marketing automation
  • Predictive lead scoring system

Finance & Accounting

  • Automatic bank reconciliation
  • Intelligent invoice processing

Human Resources

  • Automated onboarding workflows
  • Payroll & absence automation

Operations & Logistics

  • Delivery route optimization
  • AI-powered visual quality control

IT & DevOps

  • Incident response automation
  • Automated deployment pipelines

Have a use case ready to build?

We'll assess your use case, identify the right architecture, and give you a realistic timeline and cost estimate in one call — no commitment required.

Get a free assessment