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 AI Assistants 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
AI Assistants case studies from real engagements, published as projects complete.
OpenClaw Applications
AI Employee That Runs My Freelance Business
An AI employee built on OpenClaw that runs 24/7 handling freelance business operations: it finds matching Upwork jobs and drafts tailored proposals.
RAG Pipelines
Bertos Refrigerators Company RAG
A production-grade RAG system for Bertos 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
Turn any YouTube video into an interactive study session with LearnFlow AI: paste a URL to get summaries, quizzes, flashcards, and custom study notes.
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.
Real Tools, Not a Buzzword List
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.
How We Handle Your Data
Your Data Stays Yours
Your data, conversations, and documents are used only to build and run the system you're paying for - never to train third-party models, and never shared outside your project.
You Own What We Build
The code, prompts, and configurations built for your engagement belong to you, not licensed back to you after the contract ends.
Documented Upfront, Not Boilerplate
Hosting region, data retention windows, and who has access are scoped to your specific engagement and documented during discovery, not left as generic fine print.
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
Learn More About AI Assistants
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Read the articleReady to talk about ai assistants?
Tell us what you're trying to build - we'll scope it and get back to you.