You will get a Real-Time AI Command Center for Your Business Operations
Project details
You are running your business from 12 different tabs. HubSpot for pipeline. Stripe for revenue. Apollo for outreach. Sheets for everything else. Every Monday you spend an hour building the same report manually.
I build real-time operations dashboards that pull all of it into one place, flag what needs attention, and alert your team before a problem becomes a crisis.
Here is what that looks like: a Next.js dashboard with live KPI widgets connected to HubSpot, Stripe, Apollo, or any REST API you already use. An AI insights panel that reads your data and surfaces what changed, why it matters, and what to do about it. Slack or email alerts that fire when a metric drops below a threshold before you find out in a weekly meeting.
The build is based on your actual data sources and decision-making process. I start by mapping what you measure today and what you wish you measured. Everything follows from that.
I have built dashboards for an outbound agency tracking pipeline and reply rate, a media publisher monitoring call volume and transcription accuracy, and a PR firm tracking signal count and client brief output.
Deployed to Netlify in 10 to 22 days.
I build real-time operations dashboards that pull all of it into one place, flag what needs attention, and alert your team before a problem becomes a crisis.
Here is what that looks like: a Next.js dashboard with live KPI widgets connected to HubSpot, Stripe, Apollo, or any REST API you already use. An AI insights panel that reads your data and surfaces what changed, why it matters, and what to do about it. Slack or email alerts that fire when a metric drops below a threshold before you find out in a weekly meeting.
The build is based on your actual data sources and decision-making process. I start by mapping what you measure today and what you wish you measured. Everything follows from that.
I have built dashboards for an outbound agency tracking pipeline and reply rate, a media publisher monitoring call volume and transcription accuracy, and a PR firm tracking signal count and client brief output.
Deployed to Netlify in 10 to 22 days.
What's included
| Service Tiers |
Starter
$2,500
|
Standard
$5,500
|
Advanced
$9,500
|
|---|---|---|---|
| Delivery Time | 10 days | 16 days | 22 days |
Number of Revisions | 1 | 2 | 3 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
AI Insights Panel
+$600
Client-Facing Dashboard
(+ 1 Day)
+$500
Mobile-Responsive Optimization
+$300Frequently asked questions
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About Chris
AI Automation & AI Agents | Voice AI, Workflow & CRM Systems That Ship
83%
Job Success
Diablo, United States - 12:57 am local time
Recent results from 2025-2026 client work:
- MCA Financial Services: Built an outbound AI voice agent (Retell + n8n + HubSpot + Smartlead) handling 200+ daily calls. Automated lead qualification, objection handling, and document collection. Zero new hires.
- Digital Marketing Agency (AdLeg): Make + Claude API audit automation. Cut a 4-hour manual audit to 3 minutes. 97% time savings. Unlocked $200K+ in new service revenue.
- Trucking & Logistics: Airtable dispatch and loading system shipped in 4 days. 5-star review.
- Healthcare Practice (multi-location): Voice scheduling + EHR integration with multi-language support.
- B2B SaaS: GTM automation and LinkedIn strategy that landed the first enterprise client and 10x'd visibility.
My internal build (the proof I run my own playbook): A 13-agent command center for ResultantAI ops. React + Express + SQLite, 14,000+ lines, 20 API endpoints, PM2 cron scheduling. Handles CRM health checks, lead scoring, email monitoring, outbound sequencing, SEO tracking, and daily ops briefings autonomously, with Slack-integrated decision routing.
What I build for clients:
- AI Voice Agents: Inbound and outbound. Retell or VAPI + CRM routing + appointment booking. From missed calls to 24/7 coverage in under 2 weeks.
- AI Agent Systems: Custom autonomous agents for lead scoring, CRM hygiene, reply monitoring, outbound sequencing, and ops briefings. Cron-scheduled, Slack-delivered.
- Revenue Automation: Pipeline alerts, lead scoring, CRM workflows that move deals without manual lift.
- Process Automation: Manual hours cut to minutes. Audits, reporting, onboarding, document generation.
- B2B Outreach Systems: LinkedIn + email engines with AI personalization, CRM sync, and reply handling.
Custom Internal Tools: Dashboards, lead scoring engines, and full-stack apps via Claude Code (React + Express + SQLite proven at production scale).
Stack: Make (60+ scenarios shipped), n8n, Zapier, Retell, VAPI, HubSpot, Salesforce, Airtable, Claude API, OpenAI, Perplexity, Express, React, SQLite, Cloudflare Tunnel, PM2.
Who this is for: Service businesses doing $2M-$20M scaling without headcount. Agencies and SaaS companies with broken or nonexistent automation. Founders ready for fixed scope, fixed price, measurable outcomes.
Who this is not for: Anyone shopping for $500 Zapier setups or basic chatbots. Minimums: $1,000 workflow automation. $1,500+ voice agents and pipeline builds.
How I work: Fixed scope. Fixed price. 5 to 14-day delivery. You get a working system, documentation, walkthrough, and 60 days of post-delivery support. Most clients are referrals or retainers. Limited Upwork slots monthly.
Send me a message describing what you want to automate. I will tell you straight whether I can help.
Steps for completing your project
After purchasing the project, send requirements so Chris can start the project.
Delivery time starts when Chris receives requirements from you.
Chris works on your project following the steps below.
Revisions may occur after the delivery date.
Data Audit & Dashboard Architecture
I map your data sources, confirm API access, define KPI logic, and design the widget layout. Dashboard architecture documented and approved before any build starts.
Next.js Build & Data Connections
Dashboard scaffolded in Next.js. API integrations built for each data source. Data flowing into KPI widgets with correct field mapping, aggregation, and refresh interval.