AI & Automation Development
Custom AI agents, automation workflows, and integrations built to run reliably in production, not just in a demo.
534+ projects delivered | 273+ verified reviews | 6+ years experience
Last updated: February 2026
AI stopped being a research demo and became something teams actually ship. The teams that win with it are not the ones chasing the flashiest model, they are the ones who wire AI into the repetitive work their people do every day and make it dependable. That gap between an impressive prototype and a system you can trust in production is exactly what Hevcode builds for.
We build custom AI agents and automation systems end to end: workflow pipelines on n8n and Make with real AI decision steps, voice agents that handle inbound and outbound calls, browser agents that operate real websites, chatbots grounded in your own data, MCP servers that connect models to your systems, and scraping pipelines that turn the open web into clean, usable data. Every build is scoped to a real task, not a generic wrapper around an API.
The hard part of AI is not calling a model, it is making the output trustworthy: keeping it accurate, keeping the cost in check, keeping your data private, and giving you a clear record of everything the system did. We design for that from day one with guardrails, human review where it matters, and dashboards that show every run, call, and request. Whether you are a founder testing an idea or a team automating a live process, we help you ship AI that behaves in production.
Industry Challenges We Solve
We understand the unique challenges of ai & automation development and build solutions that address them
Reliable AI Output
Language models can drift, hallucinate, or return unusable formats. The real work is making output accurate and consistent enough to act on automatically.
Tool & API Integration
Automation is only useful when it plugs into the tools you already run. Connecting CRMs, inboxes, databases, and third-party APIs cleanly is where most projects get stuck.
Real-Time Performance
Voice agents and live assistants have to respond in the moment. Keeping latency low across model calls, telephony, and tool use takes careful engineering.
Cost & Token Control
Naive AI usage burns through API budget fast. Flows have to be designed to use the right model for each step and avoid paying for tokens you do not need.
Observability
When an agent acts on its own, you need to see exactly what it did and why. Without a clear record, no one can trust the automation with real work.
Data Privacy
Feeding business data to an LLM raises real questions about where it goes and who can see it. Sensitive information has to be handled and stored with care.
Solutions We Build
Comprehensive ai & automation development solutions tailored to your needs
AI Workflow Automation
Visual pipelines on n8n and Make that connect your tools and add AI decision steps, so repetitive processes run on their own while staying easy for your team to follow and edit.
AI Voice Agents
Inbound and outbound calling agents built on Vapi, Retell, and Twilio that hold natural conversations, handle real tasks, and log every call for review.
Browser Automation Agents
Agents that operate a real browser to complete web tasks the way a person would, resilient to layout changes that break traditional selector scripts.
Custom Chatbots & Assistants
Chat and support assistants grounded in your own content, so answers stay on topic and useful instead of generic.
MCP Servers & Integrations
Model Context Protocol servers that give AI models safe, structured access to your systems, tools, and data.
Web Scraping & Data Pipelines
Reliable extraction pipelines that pull, clean, enrich, and score data from the web and deliver it ready to use.
Community & Chat Bots
Moderation and automation bots for Discord and other platforms, with AI that catches what static rules miss and a dashboard that keeps every action explainable.
RAG & Knowledge Assistants
Retrieval systems that let AI answer from your documents, wikis, and databases with sources you can check.
Key Features We Implement
Essential features for successful ai & automation development applications
Custom AI Agents
Agents scoped to your exact task and workflow, not a thin wrapper around a public API.
Visual Workflow Builders
Automations built so a non-developer on your team can read, follow, and adjust them after handoff.
Tool & API Integrations
Webhook and API connections that tie your CRM, inbox, database, and third-party services into one flow.
Data Extraction Pipelines
Scraping and parsing pipelines that turn messy web pages into clean, structured, verified data.
Monitoring Dashboards
Dashboards that surface every run, call, and request so you always know what the automation did.
Guardrails & Human Review
Approval steps, fallbacks, and safe-action limits so automated systems can be trusted with real work.
Technologies We Use
Modern tech stack for robust, scalable applications
Success Stories
Real results from our ai & automation development projects
Cadence
An AI automation workflow platform built on n8n and Make, turning manual, repetitive processes into automations a team can actually own and maintain.
- Visual canvas that makes each automation step understandable at a glance
- AI decision steps added to flows without dropping down to custom code
- Webhook and API triggers that connect existing tools into one pipeline
- Built so the team can modify their own automations after handoff
Ravel
An AI voice calling agent platform built on Vapi, Retell, and Twilio, designed to handle real phone conversations for a business.
- Natural-sounding, real-time voice conversations over live telephony
- Inbound and outbound calling handled by the AI agent
- Operator dashboard with full visibility into every call and transcript
- Built so automated calls can be trusted with real customers
Navigo
An AI browser automation agent that understands a task in plain language, operates a real browser through Playwright, and shows its work step by step.
- Completes web tasks the way a person would, inside a real browser
- Explains each step it takes instead of running as a black box
- More resilient than selector scripts that break on site redesigns
- Built in Python with Browser Use, Stagehand, and OpenAI
Related Work
Projects we have delivered in this space
Cadence
AI Automation Workflow Platform
View case studyRavel
AI Voice Calling Agent Platform
View case studyNavigo
AI Browser Automation Agent
View case studyConduit
MCP Server Management Platform
View case studyWardn
AI Discord Moderation Bot & Dashboard
View case studyGrifo
Web Scraping & Lead Generation Platform
View case studyFrequently Asked Questions
Common questions about ai & automation development
What kinds of AI and automation projects do you build?
A wide range: custom AI agents, workflow automation on n8n and Make, voice calling agents, browser automation agents, chatbots and assistants grounded in your data, MCP servers, community and Discord bots, and web scraping or lead generation pipelines. If a repetitive process can be automated or an AI agent can handle it, we can build it.
Which AI models and platforms do you work with?
We work with OpenAI and Anthropic Claude models, orchestration tools like LangChain, automation platforms like n8n and Make, voice stacks like Vapi, Retell, and Twilio, and browser automation frameworks like Playwright and Browser Use. We pick the model and platform that fit your task and budget rather than forcing one stack on every project.
How do you keep AI output reliable and prevent hallucinations?
We ground models in your own data where possible, constrain outputs to strict formats, validate responses before acting on them, and add human review or approval steps for anything sensitive. The goal is output you can act on automatically, with guardrails and fallbacks for the cases where the model is unsure.
Is my business data safe when using LLMs?
Yes, we take this seriously. We use providers and configurations that do not train on your data, keep sensitive information out of prompts where it is not needed, and can run retrieval and storage in infrastructure you control. Each system is designed around your actual data privacy requirements.
Can you connect automation to the tools we already use?
Almost always. We integrate through official APIs, webhooks, and platform connectors, so your CRM, inbox, database, spreadsheets, and third-party services become part of one automated flow instead of separate manual steps.
How long does an AI automation project take?
It depends on scope. A focused single-agent or single-workflow build can come together in a few weeks, while a full platform with dashboards, integrations, and guardrails takes longer. After a short discovery conversation we give you a clear timeline based on your specific requirements.
Ready to Put AI to Work?
Tell us the process you want to automate or the agent you want to build, and we will map out how to ship it reliably.