We build AI customer support automation that answers common questions instantly, routes the rest to the right person, and stays grounded in your actual docs — not a generic chatbot script.
The same questions get asked over and over, agents burn hours on repetitive answers, and the tickets that actually need a person get stuck behind the ones that didn't. Generic chatbots promise to fix this and then confidently give wrong answers.
The same handful of questions answered manually, over and over, every single day.
Customers waiting hours for an answer that could have been instant.
Generic AI chat widgets confidently answering with information that isn't actually true.
We build an AI assistant grounded in your actual documentation and past tickets, wire it into your help desk for routing, and set clear rules for when it hands off to a human — so customers get fast, accurate answers, and your team only handles what actually needs a person.
Everything needed to take support from a growing backlog to a system that handles the routine and flags what needs a person.
An LLM-powered assistant trained on your actual docs, FAQs, and policies answers common questions instantly across chat and email.
Requests are classified and routed to the right person or team automatically, instead of sitting in a shared inbox.
The assistant pulls answers directly from your help center or internal docs, so responses stay accurate as your product changes.
When a question needs a person, the conversation and context hand off cleanly to your team — no repeating themselves.
The same assistant answers consistently across your website chat, email, and WhatsApp, instead of a different experience per channel.
Automated reporting on ticket volume, common questions, and response times, so you can see what's actually happening in support.
Every support assistant we build lives inside a client's private help desk, so there's no single public case study to point to. What you can rely on instead is how we actually build: routing workflows engineered in n8n or Make, LLM responses grounded in your real docs through retrieval instead of a static script, and escalation rules tested against real past tickets before anything goes live. Softosmith is run day-to-day by Amin Ali, Founder & Lead AI Engineer, who personally scopes and builds every support assistant we ship.
Real support automation means grounding answers in your actual docs, not a static FAQ script.
Ticket routing and response workflows built as version-controlled automations, not a fragile chain of connectors.
OpenAI, Claude, Gemini, or OpenRouter grounded in your actual knowledge base, with retrieval so answers stay accurate.
Direct integrations with Zendesk, Intercom, Freshdesk, HubSpot, and similar platforms so tickets stay in one system.
Responses pulled from your docs and past resolved tickets, instead of a static, easily outdated script.
Custom routing rules and escalation logic when a no-code tool can't express your actual support process.
A clear, six-step process from discovery to ongoing support.
We review your current support volume, common question types, and where tickets currently pile up.
What the AI answers directly, what it escalates, and how routing works are defined and approved upfront.
The assistant is built and connected to your actual docs, help center, and ticketing system.
The assistant is tested against real past tickets before it ever talks to a live customer.
A staged rollout so you can watch it handle real tickets before it fully replaces manual triage.
Ongoing tuning as your product, docs, and question types change.
Order status, returns, and shipping questions answered instantly without a human touching every ticket.
Product questions and basic troubleshooting handled by an assistant trained on your actual docs.
Patient FAQs and appointment questions answered with HIPAA-aware handling of sensitive information.
Account and policy questions answered consistently, with escalation for anything regulated or sensitive.
Enrollment and course questions answered automatically and connected to your LMS or CRM.
Customers get an answer in seconds instead of waiting in a queue.
The same accurate answer whether someone emails, chats, or messages on WhatsApp.
Common questions get resolved automatically, so your queue doesn't pile up during busy periods.
Your team spends time on the tickets that actually need a person, not repeating the same answer.
No client logos or star ratings here — just the commitments every support build is held to.
You work directly with the engineer building your support assistant — no account managers relaying messages back and forth.
The quote we give you upfront is what you pay. No surprise invoices once the build starts.
The assistant, its logic, and the knowledge base connection run in your own accounts. Nothing rented, nothing locked behind us after handover.
You know exactly where your build stands at every stage, from discovery through deployment — no radio silence.
A post-launch support window is built into every engagement, so a broken assistant doesn't become your problem alone.
Softosmith is run by Amin Ali, Founder & Lead AI Engineer with 8+ years building automation pipelines, who personally scopes and builds every support assistant we ship.
Fixed-scope pricing to start — final quotes depend on the channels and knowledge base involved.
$1,500 starting
One support channel automated with AI-powered answers and routing.
$4,800 starting
AI support across multiple channels, with routing and escalation built in.
See the full range of AI automation services we build for growing businesses.
Extend the same approach to phone support with automated call handling and routing.
Keep support tickets and customer records in sync automatically across your stack.
Straight answers to what clients usually ask before starting a build.
AI chat and email responses grounded in your knowledge base, smart ticket routing, seamless handoff to a human when needed, multi-channel coverage, and support analytics.
We ground the assistant in your actual documentation and knowledge base using retrieval, so it answers from real content instead of guessing. Anything it's not confident about escalates to a human instead of inventing an answer.
When a question needs a person — a complex issue, a complaint, or anything outside what the assistant is scoped to answer — it hands off with full conversation context, so the customer doesn't have to repeat themselves.
A single-channel build typically takes 2 to 3 weeks. A multi-channel package with knowledge base integration and routing usually runs 5 to 8 weeks.
n8n or Make for the workflow, an LLM (OpenAI, Claude, Gemini, or OpenRouter) for the assistant itself, and direct integrations with your help desk or CRM — Zendesk, Intercom, Freshdesk, HubSpot, and others.
You do. The assistant and its routing logic run in your own accounts, connected to your own knowledge base — nothing is locked behind an ongoing license with us.
Every engagement includes a support window (30 or 90 days depending on tier), and we offer maintenance retainers after that to keep the assistant's knowledge base current.
Tell us about your support volume and we'll scope an AI assistant around it.
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