Custom AI agents for customer support, sales, operations, and back-office — production-ready in 8–12 weeks. Fixed scope from $25,000.
What We Build
Handles 80% of support tickets automatically. Understands context, retrieves answers from your knowledge base, escalates complex issues to humans with full conversation history. Works 24/7 across email, chat, and Slack.
Typical result: Replace 3 CS reps → save $150K/year
Tech: Claude API, LangChain, RAG, Slack/Zendesk
Qualifies inbound leads, handles initial objections, books meetings — all via website chat or email. Integrates with HubSpot, Salesforce, or Apollo.io.
Typical result: 3x pipeline growth, 40% reply rate
Tech: OpenAI, CRM webhooks, email API
See also: AI Auto Sale — our turnkey sales automation packageProcesses invoices, routes approvals, monitors KPIs, sends alerts when metrics go off-track. Connects to your existing tools via API.
Typical result: Eliminate 20 hrs/week of manual ops
Tech: n8n, Python, FastAPI, custom integrations
Answers employee questions about policies, docs, and SOPs instantly. RAG-powered, trained on your company data. Deploy in Slack or Teams.
Typical result: Cut onboarding time 50%, reduce HR tickets 70%
Tech: RAG pipeline, Pinecone/Weaviate, Claude/GPT-4
Production Quality
Most “AI agents” are demo-quality. We build for production.
Comparison
| Feature | RPA / Zapier / Make | AI Agent (NKKTech) |
|---|---|---|
| Handles ambiguity | Fails on edge cases | Reasons through novel situations |
| Natural language | Keyword matching | Understands context and intent |
| Multi-step decisions | If-then only | Plans and executes complex workflows |
| Learning | Static rules | Improves with feedback |
| Best for | Simple, predictable triggers | Complex, judgment-heavy processes |
Tech Stack
Process
Audit workflows, find highest-ROI automation opportunity. Map current cost vs. agent-powered savings.
Week 1
Tool selection, memory design, escalation logic. Working prototype you can test against real scenarios.
Week 2–3
Error handling, monitoring, cost controls, edge case coverage. Weekly demos so you see progress.
Week 4–10
Production deployment, monitoring dashboard, performance tuning. 30-day optimization period included.
Week 11–12
Pricing
Fixed-scope. You know the exact cost before signing. No T&M billing, no scope creep.
One focused agent for a specific workflow — support, sales, or ops.
8–10 weeks
Multiple agents working together across departments with shared context.
10–16 weeks
Full agent infrastructure with orchestration, monitoring, and custom integrations.
16–24 weeks
Case Studies
Automated document processing pipeline replacing manual review.
85% reduction in processing time
導入事例を見るAI-powered sales qualification and outreach automation.
3x pipeline growth in 90 days
導入事例を見るRAG-powered student support agent handling 80% of queries.
70% reduction in support tickets
導入事例を見るA chatbot follows scripted flows. An AI agent reasons, uses tools, makes decisions, and escalates when uncertain. Agents can pull data from your CRM, update records, send emails, and handle multi-step workflows — not just answer questions.
Most clients see ROI within 60 days of deployment. Customer support agents typically reduce ticket volume 40–60% in month one. Sales agents start booking qualified meetings within the first two weeks.
We build confidence thresholds into every agent. When the agent isn’t sure, it escalates to a human with full context. Every action is logged for audit. You set the rules for what the agent can and can’t do autonomously.
Yes. We integrate with Slack, HubSpot, Salesforce, Zendesk, Jira, and any tool with an API. If your tool has a REST or GraphQL endpoint, we can connect to it.
The gap is production hardening. Getting a demo agent working is easy. Making it handle errors, control costs, manage memory across conversations, and gracefully handle edge cases — that’s where most internal teams get stuck. That’s what we specialize in.
Book a free 30-minute discovery call. We'll identify your highest-ROI automation — no obligation.