AI Managed Service
An AI chief of staff for the owner, outsourced CMO, ops, HR, finance workflows, and growth campaigns, on sovereign Omega + SARAH. Outcomes on the plate. You do not need to live in the kitchen.
Chris Adams W. Ismail
Co-founder · Architect, SARAH AI Suite & Omega Revenue Engine
Two decades of sovereign voice and enterprise integrations, ministerial-grade telephony in Australia, POINTR CGO (ESA, NASA, Mercedes-Benz), architect of 34.7M governed connectors and 25 industry harnesses MSPs deploy instead of building.
Michael Farrell
Co-founder · CEO, Scale Growth Advisors · Exclusive Global GTM Partner
Forty years in US enterprise tech sales and M&A, $1.4B+ client valuations, 500K+ sales appointments, PC Connection $700M→$1.4B, BAO Academy, GreenLeads 4× revenue / sold to NEXT 15. Mike anchors operator credibility; Chris ships the stack.
Full founder credentials · Language coverage (100 spoken + 351 voices)
What you actually buy
Not another chatbot. Not token meters. A managed service that runs the back of the house so the owner can stay in the cockpit:
AI chief of staff
Priorities, follow-ups, briefs, and orchestration across the business, one memory, one soul, one company database.
Department workflows
HR, finance, marketing, sales, ops: automate repetitive work with harnesses already built across 25 industries.
Growth without headcount
Spin campaigns to acquire clients and fulfill without stacking SaaS seats and API bills for every function.
Concierge delivery
We run the platform and the playbooks. You get the spectacular plate, ISO/SOC-minded, sovereign, no feeding frontier models your IP.
Three ways to run it: all sovereign
Managed service
Setup + monthly retainer
We operate outcomes on the platform: hand-holding, campaigns, workflows, advisory. Indicative programs discussed with growth-stage firms (~$5M+ revenue): roughly $30K setup and $10K/month. Confirm current figures on a call.
Hosted
Monthly access: you operate
Your team runs the software on sovereign hosted infrastructure. Still not public-cloud token chaos. Best when you want the cockpit and the controls.
On-prem / data center
CAPEX: lease or purchase
Hardware + software + deployment as a capital purchase (or financed). Institutional knowledge stays on infrastructure you own. Year-end CAPEX planning is a natural conversation for owners.
Voice / contact-center class: When concurrent AI phone agents matter, programs start in a different band (illustrative: AI PBX-class deployments discussed around $15K/month for ~30 agents; advisory wrap with the founding team available as an add-on). We size this on discovery, see also live pricing.
Why this is not “another AI tool”
- Outcomes over specs: owners care that work gets done, not GPU part numbers
- Harness engineering: one shared company memory, not a pile of amnesiac agents
- Absorbed best-of-breed: the smarts of the top apps in a field, without a $50–$100/user stack per tool
- LLM-agnostic future: your harness and data are yours; models can change
- Built by operators: decades of enterprise GTM + nineteen years of harness engineering, not a weekend wrapper
MSPs
If you are an MSP, this is the client-facing motion when the buyer wants results without operating the stack, and it sits beside the hardware / referral partner paths for Mini, Pro, and Enterprise deployments.