Email:info@softosmith.com
Working Hours:Mon - Fri: 9 AM - 5 PM (PKT)
We design and build custom AI agents — conversational, voice, and system-integrated — that plug into your actual tools and workflows, engineered on real agent frameworks instead of a repackaged chatbot template.
No-code chatbot builders and generic AI widgets cover the basics — but the moment you need an agent that actually knows your data, calls your APIs, or handles a real conversation, you're stuck patching prompts or paying for a platform that doesn't bend to your process.
Scripted decision trees that break the moment a question doesn't match the flowchart.
Agents that can talk but can't actually check a record, update a ticket, or book a slot.
No-code platforms with support tickets instead of an engineer who can explain what the agent is actually doing.
A custom AI agent is software built to reason over your data, call your tools, and complete a task end to end — answering a support question grounded in your docs, qualifying a lead over the phone, or updating a record in your CRM. It's engineered around your process, not a generic prompt wrapped in a UI.
Everything needed to take an AI agent from idea to something running in production against your real systems.
Chat agents for your website, WhatsApp, or helpdesk that answer real questions grounded in your own docs, not generic scripted replies.
Natural-sounding voice agents that handle inbound calls, qualify outbound leads, and book appointments on real telephony infrastructure.
Agents architected around your actual process using LangChain, LangGraph, or CrewAI, not a repackaged no-code chatbot template.
Agents wired into your CRM, help desk, and internal tools through proper API and tool-calling integrations, not screen-scraping hacks.
RAG pipelines that ground agent answers in your documents and data, using vector search instead of the model's own guesses.
Prompt guardrails, fallback handling, and an evaluation process so agents stay reliable in production, not just in a demo.
Every agent we build follows the same real engineering approach: orchestration through LangChain, LangGraph, or CrewAI depending on the workflow, a RAG pipeline so answers are grounded in your actual documents and data, tool-calling into your CRM or internal APIs so the agent can take action instead of just talking, and guardrails plus an evaluation process so behavior stays predictable once it's live — not just in a demo.
Real AI agent development means working with the same orchestration, retrieval, and tool-calling patterns production systems actually use.
Built on LangChain, LangGraph, and CrewAI, the same orchestration frameworks used to run reliable multi-step and multi-agent workflows in production.
Retrieval pipelines on Pinecone, Qdrant, or pgvector, so agents answer from your actual data instead of hallucinating a plausible-sounding response.
Agents that call real functions and APIs — checking a CRM record, creating a ticket, booking a slot — not just generating text.
Short and long-term memory design so agents track context across a conversation or a workflow without losing the thread.
Structured prompt guardrails, output evaluation, and logging so agent behavior is testable and traceable, not a black box.
A clear, six-step process from discovery to ongoing support.
We review the workflow or channel involved and map exactly what the agent needs to know, do, and connect to.
Orchestration framework, memory model, tools, and integration points scoped and agreed before development starts.
The agent is built against real APIs and real data, version-controlled, with guardrails in place from the start.
Connected to your systems and tested against real conversations, calls, or workflows before anything goes live.
Rolled out to your website, phone line, or internal tools, with monitoring in place from day one.
Ongoing tuning as usage patterns emerge and your processes change.
Support and onboarding agents that answer product questions grounded in your actual docs and changelog.
Order status, returns, and product Q&A agents connected to your store and inventory data.
Intake and scheduling agents that qualify leads and route them before a human ever gets involved.
Appointment and intake agents built with compliance-aware handling of patient information.
Enrollment and student support agents connected to your LMS or CRM, including Moodle where relevant.
Lead qualification and inquiry agents that respond instantly across chat and voice, day or night.
Questions and calls get answered immediately instead of sitting in a queue.
One agent covers volume that would otherwise need additional support headcount.
Agents pull and push data directly, removing the copy-paste work between systems.
Agent architecture built to handle more volume and more channels as you grow, without a rebuild.
No client logos or star ratings here — just the commitments every AI agent build is held to.
You work directly with the engineer building your agent — no account managers relaying messages back and forth.
The quote we give you upfront is what you pay. No surprise invoices once development starts.
Softosmith is led by Amin Ali, Founder & Lead AI Engineer with 8+ years building automation pipelines and AI agent/RAG systems — your agent is designed by someone who understands the architecture underneath it.
The agent's logic, prompts, and integrations are yours. Nothing rented or locked behind a proprietary no-code platform 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 integration or a model update doesn't become your problem alone.
Fixed-scope pricing to start — final quotes depend on the channels, integrations, and complexity involved. Running a larger multi-agent rollout? Contact us for an Enterprise quote.
$2,500 starting
One conversational or voice agent, scoped to a specific workflow or channel.
$7,500 starting
Multiple coordinated agents across channels, with deeper system integration.
Each service below is a specific piece of the AI agent work we do — pick the one that matches what you need, or talk to us about combining a few.
Chat-based agents that answer questions, guide customers, and deflect support tickets across your channels.
Voice agents that answer and place calls, qualify leads, and book appointments your team can't get to.
Custom agent architecture, RAG pipelines, and multi-agent systems built and deployed around your process.
Connecting agents to your CRM, help desk, and internal APIs so data moves accurately without manual re-entry.
Not sure where AI agents fit in your business? Start with an AI Readiness Audit.
Straight answers to what clients usually ask before starting a build.
We build on OpenAI, Anthropic (Claude), Google Gemini, and open-source models like Llama and Qwen where self-hosting or cost makes sense. The model is chosen for the use case, not locked to one vendor.
Depending on the use case, agents run as a website chat widget, a WhatsApp/messaging integration, a phone line via telephony infrastructure, or an internal tool connected to your existing systems.
Agent access to your systems is scoped to what it needs, credentials are handled securely, and we can design around your existing compliance requirements. Sensitive data isn't sent to a model provider without your sign-off on the approach.
You do. The agent logic, prompts, and integration code are yours — nothing is locked behind a proprietary platform or an ongoing license with us.
A no-code chatbot follows scripted decision trees. A custom AI agent reasons over your actual data through RAG, calls real tools and APIs to take action, and is built with guardrails so it stays reliable — not just conversational.
A single agent typically takes 2 to 4 weeks. A multi-agent system with several integrations usually runs 6 to 10 weeks, depending on scope.
Yes. Every engagement includes a post-launch support window, and ongoing support plans are available as usage grows or your processes change.
Yes. We build direct API and tool-calling integrations into systems like HubSpot, Salesforce, GoHighLevel, Zendesk, and Intercom, along with most tools that expose an API.
Tell us about your process and we'll scope a custom AI agent build around it.
Get a Free AI Agent Quote
