AI Agent Development built for business outcomes — not demos.
We design and ship custom GPT-4 / Claude agents, RAG systems, and multi-agent automations that auto-resolve 50–80% of support tickets, qualify leads 24/7, and turn your private docs into a chat interface. Fixed price. 90-day MVP.
- Senior AI engineers — 5+ years shipping production LLM systems
- Fixed price, fixed timeline, milestone-based billing
- Deployed to YOUR cloud — your data never leaves
- 90-day post-launch warranty included
73%
of support tickets auto-resolved · shipped in 11 weeks for $24k fixed-price
“We'd already burned $60k with two other agencies. Paisol shipped our AI customer-support agent in 11 weeks — flat fee, no surprises. We've grown headcount in sales instead of support.”
Sarah Mensah
Founder, ClearPath Logistics
An AI agent is the difference between an LLM that talks and an LLM that does. Agents call your APIs, query your databases, send emails, route tickets, qualify leads, and complete multi-step reasoning that a chatbot can't touch. Built right, one agent replaces a five-figure monthly headcount cost. Built wrong, it costs you trust with every hallucination.
At Paisol Technology we've shipped over 500 production AI features — customer-support agents that resolve 73% of tickets, sales agents that book 40+ qualified meetings per month, and internal copilots that turn 30 minutes of knowledge-base searching into one question. Our machine learning team handles the training and evaluation work. Our Next.js developers build the dashboards and admin UIs. You get one team, one timeline, one fixed quote.
Not sure where AI fits in your business yet? Start with our free AI Opportunity Audit — we'll send you a personalized 1-page report in 24 hours.
Is an AI agent right for your business?
A blunt 30-second check. If 3+ on the left fit, we're probably the right team. If 2+ on the right fit, save your time.
This is for you if…
- You handle > 500 customer / lead interactions per month
- Most interactions need actions (refunds, lookups, bookings) — not just FAQ answers
- You have data the AI can use — tickets, docs, CRM records
- You can describe a bounded success metric ("auto-resolve 60% of tickets")
- You want it shipped fixed-price in < 12 weeks, not researched for 6 months
This is NOT for you if…
- You handle < 100 interactions a month — Intercom Fin or a chatbot is cheaper
- You want an AI to "do everything" with no bounded use-case
- Your data lives across 4 disconnected systems and consolidation isn't done
- You need it for less than $8k — at that budget, off-the-shelf is the right call
What we build
Four patterns cover 90% of high-ROI AI agent use-cases. Tell us which one fits — we'll quote you in 48 hours.
Customer support agents
Auto-resolve 50–80% of tickets. Slack, intercom, web widget, WhatsApp, email — same brain everywhere.
Sales & lead-qualification agents
Qualify inbound leads 24/7. Book meetings to your calendar. Sync to HubSpot / Salesforce automatically.
Internal copilots
A ChatGPT that knows everything your company knows. Search docs, code, tickets, CRM in one ask.
Compliance & ops automation
Document review, contract redlining, KYC, content moderation. Audit logs included by default.
Our 90-day delivery process
No discovery loops. No scope creep. You see working software every week.
- Week 1
Step 1
Strategy + scope sprint
We map the workflow, pick the LLM, design the agent's tools and guardrails. You get a written scope, fixed price, and timeline.
- Weeks 2–4
Step 2
Foundation build
RAG pipeline, agent loop, evaluation harness, observability. Working demo every Friday.
- Weeks 5–7
Step 3
Integrations + UI
Slack, web widget, CRM, email — wherever the agent needs to live. Custom admin dashboard for your team.
- Weeks 8–12
Step 4
Production launch
Load testing, prompt-injection hardening, monitoring, on-call setup, knowledge transfer. 90-day warranty starts.
Our tech stack
Built with the same tools the best engineering teams in the world use today.
Foundation models
- GPT-4, GPT-4o, o1
- Claude 3.7 Sonnet
- Llama 3.3 (self-hosted)
- Gemini 2.0
- Mistral Large
Agent frameworks
- LangChain
- LangGraph
- OpenAI Agents SDK
- CrewAI
- AutoGen
Retrieval & memory
- Pinecone
- Weaviate
- pgvector
- Qdrant
- Redis Vector
Infrastructure
- AWS Bedrock
- Azure OpenAI
- Vercel AI SDK
- Cloudflare Workers AI
- Modal
The boring stuff, done right
Compliance, IP, contracts — the parts most agencies hand-wave.
SOC 2 architectures
Audit-ready by Day 90
HIPAA-aware builds
BAA-eligible cloud regions
GDPR + PIPEDA
EU + Canadian data residency
You own the code
IP transfer Day 1
Fixed-price contracts
Quoted in 48 hours
90-day warranty
Bugs fixed free post-launch
See what an AI agent could save your business
Free calculator. Plug in your numbers — interactions per month, time per ticket, fully-loaded hourly cost. See estimated annual savings + payback period in 60 seconds.
Open the ROI CalculatorEstimated
$180k+
typical year-1 savings for a 4,000-ticket/month support workload
Transparent, fixed-price engagements
No hourly billing. No surprises. Quoted in writing within 48 hours.
Starter Agent
A focused single-purpose agent. One channel, one knowledge source.
- GPT-4 or Claude under the hood
- Up to 5 conversation flows
- Web widget OR Slack OR email
- Up to 1,000 docs in RAG
- Admin dashboard
- 90-day post-launch warranty
Production Agent
The 80% case. Multi-channel, multi-source, hardened for real users.
- Everything in Starter
- 3 channels (Slack, web, email or WhatsApp)
- Up to 10,000 docs in RAG
- CRM / ticketing integration
- Human-handoff workflow
- Custom evaluation suite
- On-call support for 30 days
Multi-Agent System
Custom multi-agent orchestrations with complex workflows and compliance needs.
- Everything in Production
- Multi-agent architecture (LangGraph)
- SOC 2 / HIPAA-ready deployment
- Self-hosted model option
- Unlimited integrations
- Dedicated AI engineer 6 months
Available in 8 countries, 22+ cities
View all locations →Frequently asked questions
The questions we get on every first call — answered.
- Most custom AI agents land between $8,000 and $45,000 as a fixed-price MVP, depending on integrations, data sources, and the number of conversation flows. A simple customer-support agent with one data source and one channel starts around $8,000. A multi-agent system with CRM + Slack + email integrations, RAG over a 10,000-document knowledge base, and a custom admin dashboard runs $25,000–$45,000. Book a strategy call and we'll quote you a fixed price in 48 hours.
- A working MVP ships in 4–11 weeks. A simple single-purpose agent is ~4 weeks. A production-grade RAG system with custom evaluations and a multi-channel deployment is closer to 10–11 weeks. We commit to fixed timelines in writing — if we miss, we eat the cost.
- A chatbot follows scripts. An AI agent takes actions. Agents can call APIs, query databases, hand-off to humans, escalate tickets, fill forms, draft emails, and chain multi-step reasoning. They use tools like LangChain, OpenAI function calling, and vector databases for retrieval. If you need anything beyond Q&A, you want an agent.
- OpenAI Assistants API is excellent for prototypes and simple internal tools. For production with multiple data sources, complex conversation memory, custom guardrails, on-prem deployment, or strict cost control — a custom agent built on raw LLM APIs (with LangChain or LangGraph) is the right call. We help you choose on the strategy call.
- Yes, safe. We deploy agents to your own AWS / Azure / GCP account. Customer data never leaves your infrastructure. We use OpenAI's zero-data-retention API tier or self-hosted open-source models (Llama 3.3, Mistral) when compliance demands it. SOC 2 / HIPAA-ready architectures available.
- RAG (Retrieval-Augmented Generation) lets an AI agent answer questions using your private documents — wikis, PDFs, support tickets, code. You need RAG anytime the answer depends on knowledge the base LLM doesn't have. Most production AI agents we ship use some form of RAG.
- They free your team to handle the 30% of tickets that need a human. Our typical deployment auto-resolves 50–80% of tickets and routes the rest to the right human with full context. Most clients grow headcount in sales/success — not support — after deploying an agent.
- Yes. We do AI project rescues. We've rebuilt 30+ codebases that other teams left half-finished. We'll review what you have, give you a rebuild-vs-fix recommendation in writing, then ship.
Stop reading about AI agents. Start shipping one.
30 minutes. Zero pressure. Leave with clarity — even if we never work together.
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