An AI Assistant That Actually Knows your Business
We build custom AI assistants grounded in your data and connected to your tools — for internal teams, customers, or both.
Identified 3 high-churn risks ($140k ARR). Sent alert to #sales-leadership.
About the AI Assistants
A chat window bolted onto a generic model with no business context isn't an assistant — it's a widget. Ours are grounded in your real data and connected to your real tools, so it can pull a live number from your CRM or complete a task, not describe how you'd do it yourself. Our AI Real Estate Agent answers client questions, checks listings, and books viewings — connected live to Calendar, Slack, and CRM.
Scope changes everything here: an internal onboarding assistant and a customer-facing assistant embedded in your product need different knowledge grounding, different tool access, and different guardrails, and we design around whichever one you actually have.
If you're not sure yet whether the right shape is an assistant, a chatbot, or a voice agent — that's a normal place to start. We figure that out with you during discovery, not before we've heard the actual problem.
Everything You Get With AI Assistants
Personal / Executive AI Assistants
Internal Knowledge Assistants
Customer-Facing AI Assistants
Workflow-Embedded Assistants
Voice + Text Hybrid Assistants
Memory-Persistent, Context-Aware
Scoped Tool Access & Permissions
Multi-Channel Deployment (Slack, Teams, Web)
Full Architecture Ownership
Where This Fits
Ops / Admin Teams
The questions your team asks all day get answered instantly, without pulling anyone off real work.
Knowledge-Heavy Teams
What used to live in one person's head is now available to everyone, any time they need it.
Tool-Heavy Teams
One assistant pulls from your CRM, docs, and project tools no more switching six tabs for one answer.
Growing Teams
New hires get consistent answers from day one, without pulling senior people off their own work.
Production AI Systems In Action
Real ai assistants projects we've shipped for clients.
OpenClaw Applications
AI Employee That Runs My Freelance Business
An AI Employee that run 24/7 built on OpenClaw that handles day-to-day freelance business operations end to end. like finding the upwork posted job by matching the relevent experinced or skill sets and then create the drafted proposal by choosing the perfect projects , requirements .
RAG Pipelines
Bertos Refrigerators Company RAG
A Production Grade RAG system for the " Bertos Company " that turns a 120-page product catalog into a natural-language Q&A assistant for pricing, dimensions, and specs.
AI Assistants
AI YouTube Learning Assistant
Transform any YouTube video into an interactive study session with LearnFlow AI. Effortlessly generate summaries, quizzes, flashcards, and custom study notes in seconds simply by pasting a URL.
How We Build It
Use-Case & Data Discovery
We identify the specific use case and the data/tools the assistant will need access to before building anything.
Knowledge Grounding & Tool Access Design
We design what the assistant can read, what it can act on, and what it's explicitly not allowed to touch.
Build & Integration
The assistant is built and integrated into where your team or customers will actually use it — Slack, web, embedded in-product.
Rollout, Feedback Loop & Tuning
We roll out gradually, collect real usage feedback, and tune the assistant against how people actually use it.
Common Questions
Quick answers about our ai assistants services.
A chatbot typically answers questions within a single, narrow scope. An AI assistant is grounded in your broader data and tools, can take real actions, and is built for a specific role — internal support, sales enablement, operations — rather than a generic Q&A widget.
Yes — where appropriate, we give the assistant tool access to actually update records or trigger workflows, with explicit limits on what it's allowed to touch.
Wherever your team or customers actually work — Slack, Microsoft Teams, your website, or embedded directly inside your own product.
Access controls and data handling are scoped during the discovery phase based on your specific compliance and privacy requirements.
AI Assistants Packages
Starting points for a ai assistants engagement. Every project is scoped precisely after a discovery call.
Starter
A focused, single-scope ai assistants build
starting at, one-time project
- 1 Assisstant & 1 Role
- Inbox Triage & Sheduling
- Session & Context Base
- Support 2 to 3 External Tools
- 2 ( API Calls & External Apps )
- Build, testing, and launch
- 2-week post-launch bug-fix window
- 3 Revision
Growth
AI Assistants plus ongoing iteration and support
starting at, monthly retainer
- 1 Assistant + ( 2 to 3 ) Roles
- Inbox ,Triage , Sheduling , Hubspot , Calender & CRM Updates
- Session & Context Base
- Support 5 to 7 External Tools
- 5 API calls
- Build , Test & Lauch
- 1 Month Support
- 5 Revision
Enterprise
Complex, multi-system builds and dedicated teams
scoped after discovery
- Fleet of Role Assistant
- Multiple Channel Support
- Session & Context Base
- Support Unlimited ( External Tools , API connection )
- Security and compliance requirements accommodated
- Full time Support + Maintance + Unlimted revision
Illustrative starting points, not fixed quotes. Final pricing depends on the specific integration complexity and timeline.
Related Services
Ready to talk about ai assistants?AI?
Tell us what you're trying to build - we'll scope it and get back to you.