Zenkoders builds AI automation that takes repetitive work off your team: reading documents, answering customers, updating CRMs, reconciling data and routing requests. We combine AI agents, LLMs and integrations with tools like n8n, Make and Zapier, so workflows run end to end. Most automations go live in 4 to 6 weeks.
AI automation uses large language models and AI agents to handle work that rule-based automation could not: reading unstructured documents and emails, making judgement calls within clear rules, and acting across several systems. We start from your real processes, measure where time and errors go, and automate the steps with the biggest payback first.
Every automation we deliver includes the workflow design, integrations, human review steps where needed, monitoring and a clear report of time saved.
We map your processes, measure manual hours and error rates, and rank automation opportunities by payback before anything is built.
Extract, classify and validate data from invoices, contracts, forms, PDFs and inboxes, then push it straight into your systems.
Agents that plan and complete multi-step tasks such as triaging requests, chasing approvals or preparing reports, with humans approving key steps.
Connect HubSpot, Salesforce, Zoho, NetSuite, QuickBooks, Slack, Google Workspace and custom APIs so data moves without copy-paste.
AI chat and voice agents that answer FAQs, track orders, create tickets and hand complex cases to your team with full context.
Dashboards for volumes, accuracy, exceptions and hours saved, plus weekly tuning so the automation keeps getting better.
These are the workflows where AI automation removes the most manual hours for our clients:
Book a free workflow audit. We’ll show you which processes AI can automate, how many hours it saves and what it costs.
We cover the full automation lifecycle, from finding the right processes to running and improving them in production.
End-to-end automation of multi-step processes that combine AI decisions with integrations, approvals and notifications across your tools.
Custom AI agents that read, reason and act: triaging requests, drafting responses, updating records and escalating exceptions to people.
AI extraction and validation for invoices, receipts, forms, contracts and IDs, with confidence scores and human review for edge cases.
Lead capture, enrichment, scoring and routing, personalised follow-ups and CRM hygiene that run automatically in the background.
AI chatbots, voice agents and email assistants that resolve routine requests and give your support team clean, summarised tickets.
Process audits, tool selection, ROI modelling and a 4 to 6 week pilot on one real workflow before you scale.
Our six-step delivery process keeps every automation measurable, safe and easy to maintain.
We interview the people doing the work, review the tools and data involved, and document each step, decision and exception.
We rank opportunities by hours saved and risk, then design the target workflow, including where AI decides and where a human approves.
We connect the systems involved through APIs, webhooks or n8n, Make and Zapier, and prepare the data and knowledge the AI needs.
We build the agents and workflows, write and test the prompts, and add validation rules so outputs are checked before they are used.
We run the automation on historical and live cases side by side with your team, measuring accuracy and fixing edge cases before launch.
We go live in stages, track accuracy and time saved in a dashboard, and extend the automation to the next process once the first one pays back.
Automation only pays off when it survives real-world data. We build automation as production software, with tests, monitoring and clear ownership, not as a fragile chain of no-code steps that breaks when a field changes.
Our own products prove it: Horaflow automates time and payroll data for 10,000+ paid users, and AIVentra resolves 94% of front-desk calls without a human. We use the same engineering standards for your workflows.
With 1,000+ projects delivered since 2019, our team covers AI, backend engineering, integrations and data security, so one partner owns the whole automation from audit to support.
Reliable AI automation is built in layers. Each layer below has its own tests and monitoring, so a change in one system never silently breaks the workflow.
Workflows start from events such as a new email, form, file, CRM update, webhook or schedule. Orchestration runs in n8n, Make, Zapier or custom code with queues, retries and idempotency, so nothing is processed twice or lost.
GPT-4o, Claude or Gemini classifies, extracts and decides within rules you approve. For multi-step work we use agents with tool calling and frameworks like LangGraph, limited to the actions and data each workflow needs.
Policies, product data and past cases are indexed in a vector database such as Pinecone, Weaviate or pgvector, so the AI answers from your verified information instead of guessing.
We connect CRMs, ERPs, accounting, HR and support tools through official APIs and webhooks, with field mapping, rate-limit handling and logging of every write.
Structured outputs are checked against schemas and business rules. Low-confidence results, high-value actions and exceptions go to a person for one-click approval before anything changes.
Dashboards track volume, accuracy, exceptions, run time and AI cost per task. Alerts fire on failures or unusual results, and model choice is tuned to keep cost per task low.
Role-based access, encryption in transit and at rest, PII redaction, audit logs and zero-retention AI endpoints. Your data is never used to train public models, and we can deploy in your own cloud.
n8n
Make
Zapier
Power Automate
OpenAI GPT-4o
Anthropic Claude
Google Gemini
LangChain
LangGraph
Pinecone
Weaviate
pgvector
PostgreSQL
MongoDB
HubSpot
Salesforce
Zoho
QuickBooks
NetSuite
Slack
Azure Document Intelligence
AWS Textract
Google Document AI
AWS
Azure
Node JS
Python
Docker
AI automation services design and build systems that use AI, such as large language models and AI agents, to complete business tasks that used to need a person: reading documents and emails, making rule-based decisions, answering customers and updating your software, with people reviewing the exceptions.
RPA and classic Zapier workflows follow fixed rules on structured data and break when inputs change. AI automation can read unstructured content, handle variation and decide between options. In practice we often combine them: AI for the judgement steps, and n8n, Make or Zapier for moving the data.
A single-workflow pilot starts from $15,000. Department-level automation with several connected workflows typically costs $30,000–$80,000, and enterprise programs $80,000–$150,000+. AI usage is billed at cost and usually amounts to cents per task.
Start with high-volume, repetitive work that follows clear rules and has measurable cost, such as invoice processing, lead routing, support triage or report preparation. Our workflow audit ranks your processes by hours saved, risk and effort.
A focused pilot on one workflow usually goes live in 4 to 6 weeks. Department-level programs take 8 to 12 weeks, and enterprise rollouts are delivered in phases over several months.
Every AI output is validated against schemas and business rules, grounded in your own data, and given a confidence score. Low-confidence or high-impact actions go to a person for approval, and all actions are logged for audit.
In our projects it removes repetitive tasks, not roles. Teams use the time saved for customer work, exceptions and growth. We design each workflow with the people who do the work today so adoption is smooth.
We integrate with most business software through APIs and webhooks, including HubSpot, Salesforce, Zoho, NetSuite, QuickBooks, Xero, Slack, Microsoft 365, Google Workspace, Zendesk and custom internal systems.
Yes. We use zero-retention enterprise AI endpoints, encryption in transit and at rest, PII redaction and role-based access. Your data is never used to train public models, and we can run everything in your own cloud account.
Yes. You own the code, workflows, prompts and documentation. We hand over admin access to every tool and can train your team to maintain and extend the automations.
Tell us which tasks take your team the most time. We’ll show you what AI can automate and how quickly it pays back.
