ZZ Solutions
Services/$20,000 – $45,000

AI Business Assistants

AI that works inside the tools your team already uses every day.

The most common reason AI tools fail inside an organization isn't the technology — it's the portal. When you ask your team to open a separate app to get help, they don't. They go back to doing it manually. We build AI assistants that live inside the tools your team already has open: Slack, Teams, email, or your internal dashboard. No new app, no adoption hurdle.

$20,000 – $45,000
6–10 weeks
What's included

Everything in this engagement

These aren't generic chatbots. We connect your assistant directly to your CRM, ERP, databases, and internal APIs — so when someone asks about a customer, a supplier, or an exception, the answer comes from your real data. The assistant is trained on your actual workflows, your terminology, and the specific kinds of questions your team asks most often.

→Answers come from your data — no hallucinations about things it doesn't know
→Built to say 'I don't know' cleanly rather than guess confidently
→Works inside tools your team already uses — no adoption problem
→You control the data connections and can revoke access at any time
1
Custom assistant built on your data
Trained on your real data sources and tuned to your team's workflows — not a generic model with a custom system prompt.
2
Integration into your existing tools
Deployed into Slack, Teams, or your existing internal surface. Your team never has to open a new tab.
3
Connected data sources
CRM, ERP, databases, internal APIs — we connect the systems your team queries most so answers are always grounded in real data.
4
Custom capabilities and commands
Report generation, exception flagging, draft responses, status lookups — built around the specific daily workflows of your team.
5
User testing with your actual team
Before launch, real users test it on real questions. We refine based on what they ask and where it falls short.
Architecture

How we keep the work production-ready

Each service is scoped around the same core standard: the AI must be grounded, measurable, observable, and safe to operate. The output is not a prototype that only works in a demo. It is a system your team can trust, inspect, and improve.

Principle 01

Data first

Identify the source of truth before designing the AI behavior.

Principle 02

Controlled autonomy

Let automation handle repeatable paths while approval gates protect high-impact actions.

Principle 03

Measurable quality

Define accuracy, latency, review rate, failure rate, and business impact before launch.

Principle 04

Operational handoff

Document how the system runs, fails, recovers, and gets extended by the client team.

Process

What happens from here

01

Free discovery call

Week 0

We learn how your team works, which tools they're in all day, and what kinds of questions they ask most. No commitment.

02

Integration mapping

Weeks 1–2

We map every data source the assistant needs to access and plan the integration approach for each — including security reviews and API access setup.

03

Build and data connection

Weeks 3–6

We build the assistant and connect it to your systems. Real data connections take longer than sandbox — you see a working demo with live data by week 4.

04

User testing and refinement

Weeks 7–8

Your team tests it on real questions. We tune the assistant's responses, expand its knowledge, and tighten the edge cases.

05

Deploy and monitor

Weeks 9–10

Go-live into your production workspace. We monitor the first two weeks and make adjustments before handing off.

Case Studies

Work covered by this service

Real engagements where this approach was applied — and the outcomes it produced.

Platform Engineering

Real-Time Sync at 225M+ Users

Cross-platform state synchronization for web, mobile, and desktop — keeping 225M+ users in sync without full-state polling

225M+User accounts
Read the case study
Commerce Platform

Event-Driven Commerce at $1M+ GMV

Moving from single-item checkout to a multi-item, event-driven microservices architecture that reached $1M+ annual GMV

$1M+Annual GMV
Read the case study
Get Started

Tell us about your team

Help us understand how your team works today and what an AI assistant could take off their plate.

What happens after you submit

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Within 1 business day — You get a direct reply — not an auto-responder. We read every submission personally.
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Free 60-minute discovery call — We schedule a technical conversation. No sales pitch — we want to understand the actual problem.
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Honest assessment — If this engagement isn't the right fit, we'll say so and suggest what would actually help.
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Written proposal — If we're aligned, you receive a plain-language scope, timeline, and fixed price.

I respond within 1 business day. No auto-replies, no sales calls without consent.

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