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

4–6 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

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.

Integration into your existing tools

Deployed into Slack, Teams, or your existing internal surface. Your team never has to open a new tab.

Connected data sources

CRM, ERP, databases, internal APIs — we connect the systems your team queries most so answers are always grounded in real data.

Custom capabilities and commands

Report generation, exception flagging, draft responses, status lookups — built around the specific daily workflows of your team.

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.

Process

What happens from here

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.

Integration mapping

Week 1

We map every data source the assistant needs to access and plan the integration approach for each.

Build and data connection

Weeks 2–4

We build the assistant and connect it to your systems. You see a working demo by end of week 2.

User testing and refinement

Week 5

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

Deploy and monitor

Week 6

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 Engineering2018–2020

Real-Time Multi-Platform Sync

From stale, conflict-ridden state to 85ms synchronization across every surface — with AI resolving what rules can't

85msSync latency (was 12s)

Read the case study

Commerce Platform2023–2024

Scalable Event-Driven Commerce

Decoupled microservices architecture that grew revenue 10× — and the AI layer that unlocks the next growth stage

+986%Revenue growth vs baseline

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. I read every submission.

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Free 60-minute call — We schedule a technical conversation. No sales pitch — I want to understand the actual problem.

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Honest assessment — If this engagement isn't the right fit, I'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.

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