MacroActive AIOS
An AI Operating System built for MacroActive, a fitness coaching SaaS platform. We deployed a voice AI sales training simulator for the closing team and a live AI SDR that books qualified appointments on autopilot.
2 to 3
Appointments / day
24/7
AI SDR uptime
Live
Voice trainer
MacroActive is a fitness coaching SaaS platform. Their growth bottleneck was not demand. It was sales capacity and ramp time. New closers needed weeks of shadowing before they were trusted on real prospect calls, and the SDR motion required constant manual outreach to keep the calendar full.
We built MacroActive an AI Operating System with two production surfaces running on top of it: a voice AI sales training simulator for the closing team, and a live AI SDR running outbound and booking qualified appointments straight into reps' calendars.
No more weeks of dead-time ramp.
No more inconsistent SDR output.
No more pipeline gaps when someone is on leave.
The MacroActive AIOS
At the foundation is a unified knowledgebase modelling MacroActive's business: ICP definition, pricing, positioning, objections, competitor intel, sales playbooks, and product details. Both the trainer and the SDR read from the same brain, so the way a new closer is trained matches exactly how the SDR represents MacroActive in the wild.
1. Voice AI Sales Training Simulator
A live voice AI that role-plays prospects on demand. Closers practice discovery, objection handling, and closes against realistic scenarios that cover MacroActive's actual ICP, common pain points, and the objections the team hears every week.
- Realistic prospect personas — gym owners, online coaches, and studio operators with their own goals, budgets, and pushback patterns
- Live voice conversation — natural back and forth via a Retell AI front end, no scripted multiple choice
- Objection ladder — practise handling price, timing, integration, and trust objections in any order
- Replay and review — every call is transcribed and scored against MacroActive's sales framework
- Manager dashboard — visibility into rep activity, weak spots, and progress over time
New closers ramp in days, not weeks. Tenured reps stay sharp without burning real prospect calls on practice.
2. AI SDR on Autopilot
A live AI SDR running outbound across MacroActive's ICP. It identifies fit accounts, drafts and sends personalised outreach, qualifies replies, and books straight into the closer calendar.
Sourcing
The SDR pulls accounts that match MacroActive's ICP from enriched data sources, scoring each on fit before outreach starts.
Personalised outreach
Every message is generated against the unified knowledgebase, so the pitch matches MacroActive's actual positioning and reflects the prospect's business context.
Reply handling
The SDR holds full conversations over email, qualifies the opportunity, answers objections, and proposes call times.
Booked into the closer's calendar
Qualified prospects are booked straight into the right closer's calendar with full context attached. The closer arrives prepared, not cold.
Result: 2 to 3 qualified appointments booked per day on autopilot, without an SDR seat to fund.
The problem we solved
- Long ramp time — new closers needed weeks of shadowing before they could be trusted on real calls
- Pipeline volatility — outbound output rose and fell with whoever was on the SDR seat that month
- Inconsistent positioning — every rep pitched MacroActive slightly differently, making messaging hard to control
- Cost of practice — the only way to get a rep call-ready was to put them on real prospects, which burned pipeline
- No coaching surface — managers had no scalable way to assess closer ability outside of live calls
Who this AIOS serves
Why this approach works
One brain, two surfaces
The trainer and the SDR draw from the same unified knowledgebase. When positioning, pricing, or playbooks change, both update at once. No rep-to-rep drift, no stale outbound copy.
Always-on practice
Closers can practice at any hour, run as many reps as they want, and never risk a real prospect on a clumsy attempt at a new pitch.
Pipeline that does not depend on a seat
The AI SDR runs 24/7. It does not get sick, does not leave for another job, and its output is consistent week to week.
Coachable data
Every trainer call and every outbound thread is logged. Managers see real data on what works, what does not, and where reps need help.
Technical architecture
- Voice layer — Retell AI front end with custom voice agents tuned to MacroActive's ICP
- Reasoning layer — Claude as the primary model for the trainer, SDR, and qualifier agents
- Knowledgebase — unified company context (ICP, pricing, objections, playbooks, product) that every agent reads from
- Outreach orchestration — email sending, reply parsing, conversation state, and calendar integration
- Manager dashboard — live view of trainer activity, SDR performance, and booked appointments
Get in touch
If your SaaS is bottlenecked on sales capacity or ramp time, we can build you the same kind of AIOS — voice AI training, an AI SDR, or both — tuned to your ICP and playbook.
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