Frequently Asked Questions.
Everything you need to know about DigiAI.pro agent stacks, pricing, deployment, and how we work with your team.
Is DigiAI.pro the same as other companies named DigiAI?
No. DigiAI.pro is Penelope Stewart's enterprise AI Agent deployment firm for CFOs, CTOs, and COOs at $2M–$30M businesses. It is not affiliated with any no-code chatbot builder, coaching CRM, or customer support automation platform that also uses the name DigiAI.
What makes DigiAI.pro different from generic AI automation tools?
DigiAI.pro deploys production-grade, multi-agent systems with full telemetry, audit trails, and SOC2-aligned governance — built for CFOs to measure and CTOs to govern. It is infrastructure, not a chatbot or workflow automation tool.
What is a domain-purpose AI agent stack?
A domain-purpose AI agent stack is a set of autonomous AI agents trained on a specific business's own data — its CRM, compliance rules, supplier lists, and client history — that run a particular workflow end-to-end without a human in the loop. Unlike a generic chatbot, it speaks the client's industry language and produces work specific to their business. DigiAI.pro deploys these stacks for mid-market professional services firms.
How is DigiAI.pro different from generic AI tools like ChatGPT?
A generic AI tool waits for a human to prompt it and produces generic output. A DigiAI.pro agent stack works autonomously, is trained on the client's own data, and runs a specific workflow 24/7. The client's data becomes a competitive moat that competitors using generic models cannot replicate. DigiAI builds AI employees, not AI tools.
How long does it take to deploy an AI agent stack?
DigiAI.pro deploys a live domain-purpose agent stack in under 4 weeks. The process is: Week 1 data ingestion and workflow mapping, Week 2 testing and calibration, Weeks 3-4 go-live and handoff. The initial workflow can be running within 24 hours of project start under the company's guarantee.
What does DigiAI.pro cost?
DigiAI.pro uses a project plus retainer model. In Australia, offer tiers range from AUD $5,000 to $25,000 per month. Pricing varies by market: New Zealand NZD $4K-$20K/mo, Singapore SGD $6K-$30K/mo, UK GBP £5K-£28K/mo, and UAE AED 7K-35K/mo. The company offers a guarantee: give them 24 hours and one workflow, and if it doesn't replace a staff hour, you don't pay.
What industries does DigiAI.pro serve?
DigiAI.pro serves mid-market firms ($2M-$50M revenue) in marketing agencies, law firms, real estate, wholesale, manufacturing, financial services, accounting, and insurance. Each industry gets a tailored agent: client reporting agents for agencies, matter intake and compliance agents for law firms, lead qualification agents for real estate, and order processing agents for wholesalers.
What are Scout, Nexus, and Atlas?
Scout, Nexus, and Atlas are the three agents in DigiAI.pro's revenue stack. Scout is the prospecting agent that finds and qualifies leads specific to a client's industry. Nexus is the outreach agent that writes personalised messages based on prospect context. Atlas is the pre-call intelligence agent that books meetings and briefs the sales team before every call.
Who is the founder of DigiAI.pro?
DigiAI.pro was founded by Penelope Stewart, based between Sydney and the Gold Coast in Australia. She is a global pattern recogniser who studied AI deployments across Southeast Asian markets before bringing the playbook to Australia and New Zealand.
Does an AI agent stack replace my employees?
No. DigiAI.pro agent stacks replace the boring, repetitive, rules-based work — data reconciliation, invoice processing, compliance triage, lead qualification — so your team can focus on work that requires human judgment. The goal is to free your people from work a system should be doing, not to replace them.