Bill of materials
Tech stack and integrations
Claude APIGoogle Geminin8nPostgreSQLElevenLabsKie.ai
Pricing approach
Project-based and scope-dependent. Book a call to discuss the workflow, complexity, integrations, and rollout plan.
Drawing no. 04 — AI Agent DevelopmentScale 1:1 · Rev C
Automation service
AI Agent Development - Business Automation Agents
AI agents that work inside your business workflows rather than sitting beside them as another chatbot. The live systems use Claude and Gemini for personalised sales replies, multilingual lead qualification, and storyboard generation — each with memory, structured outputs, and validation, so the rest of the workflow can act on what the agent says.
FIG. 04AI Agent Development — ink studyScale 1:1 · Rev C
What I build
Structured AI prompts with JSON-safe outputs
Lead memory and conversation context retrieval
Reply agents for LinkedIn and WhatsApp
AI storyboard and content generation pipelines
Validation and retry paths for policy or format failures
Related resources
Explore the connected automation cluster
These service, guide, and proof pages support this implementation path.
Complementary services
Service
Explore WhatsApp Automation
WhatsApp automation for lead qualification, multilingual AI conversations, sales alerts, and clean CRM handoff — every enquiry answered, every conversation remembered.
Service
Explore n8n Workflow Development
Custom n8n workflow automation for lead capture, CRM sync, AI enrichment, approvals, and notifications — built to keep running when nobody is watching.
Service
Explore AI Voice Agents
AI voice agents that answer calls, qualify leads, book appointments, and log every conversation into your CRM.
Related guides
Guide
Read: How Startup Teams Can Use AI Agents to Reduce Manual Follow-Ups
Learn how startup teams can use AI agents to reduce missed follow-ups, keep CRM records updated, and improve lead response without losing human control.
Guide
Read: How to Think About Business Automation Before Building Workflows
Good automation starts with the business process, not the tool. Here is a practical way to map workflows before building in n8n, Zoho, or AI agents.
Guide
Read: n8n vs Zapier for Startups: Which Automation Platform Should You Choose in 2026?
A practical founder-focused comparison of n8n and Zapier, covering ease of use, flexibility, costs, AI workflows, and which platform startups should choose in 2026.
Related builds
Case study
See case study: Automated LinkedIn Outreach with AI Reply Agent
A complete LinkedIn outreach system: prospect scraping, a deliberately gradual connection ramp, post engagement, acceptance tracking, campaign messaging, and Claude-powered replies that remember every lead.
Case study
See case study: Multilingual WhatsApp Sales Bot for an International Freight Forwarder
A WhatsApp AI sales assistant that qualifies freight enquiries in English, Hindi, and Telugu, remembers every conversation, and alerts the sales team the moment a quote is requested.
Case study
See case study: End-to-End AI Video Production Pipeline
A two-workflow pipeline that turns a written script into a narrated, subtitled, edited 1080p video — AI storyboarding, image generation, voiceover, and FFmpeg assembly, with no manual editing in between.
FAQ
Q.01
What makes an AI agent production-ready?
A production agent needs memory, clear system instructions, structured output, validation, error handling, and a downstream workflow that can trust its data.
Q.02
Can AI agents connect to CRM data?
Yes. Agents can retrieve lead profiles, past messages, and CRM context before generating replies or actions.
Q.03
Can AI agents work in n8n?
Yes — that is how every agent here runs. The LinkedIn reply agent, the WhatsApp qualification bot, and the video storyboarding pipeline all operate as AI steps inside n8n workflows, with the workflow handling routing, retries, and persistence around them.
Q.04
Can an AI agent handle multiple languages?
Yes, when the prompt, memory, and message gateway are designed for it. The freight WhatsApp agent qualifies leads in English, Hindi, and Telugu and follows the customer if they switch language mid-conversation.
Q.05
Can AI output trigger real actions?
Yes — updating databases, sending messages, creating CRM records. The rule in every build: the output is validated and structured first, so a confused model can never write garbage into your pipeline.