Call intelligence and recovery
Transcribes calls, detects intent and missed opportunities, creates callback tasks, and recovers high-intent inquiries before they go cold.
KPI · Missed-call recovery rate
Custom agentic engineering
for workflows that
move revenue forward.
We architect and deploy custom AI agents across sales, marketing, support, and operations — helping businesses automate workflows, improve response quality, track performance, and move more opportunities toward revenue.
- 20+ hrs
- Average weekly time returned to each owner
- 3×
- Minimum revenue lift target for high-fit workflows
- 35%
- Operating cost reduction target for routine-heavy processes
The Gap
What is holding you back?
AI is moving fast, but most businesses still struggle to turn scattered experiments into systems that save time, improve decisions, and increase revenue.
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The owner is stuck in daily operations
You work 70 hours a week, and your calendar is full of follow-ups, approvals, team questions, and status checks — leaving too little time for strategy and growth.
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AI feels hard to implement
You know AI can change the business, but it is not obvious where to start, what to automate first, or how to avoid adding another disconnected tool.
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AI experiments are not reaching the P&L
The team may test prompts and AI tools, but those experiments rarely become lower costs, faster decisions, cleaner reporting, or measurable revenue movement.
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Your system is not ready to scale
Growth brings more leads, messages, decisions, and handoffs. Without AI built into the operating model, the business gets slower as demand increases.
Our Solution
AI employees built around time, cost, and revenue outcomes.
We design AI roles with clear ownership, data access, escalation rules, and KPIs. They are not disconnected bots — they become part of how the business responds, decides, reports, and moves opportunities forward.
- 30–50%
- Routine work targeted for reduction in the first 2 months.
- 3 mo
- Target payback window for each high-impact AI role.
- P&L
- Impact measured in operating and revenue numbers.
Mechanics
Digital employee mechanics
Each AI employee has a defined job — owner assistant, marketer, salesperson, analyst, or finance operator. The role runs 24/7, follows your business rules, and escalates when a human decision is required.
Method
How we measure success
- Routine work is reduced by redesigning workflows, not just adding tools.
- Each AI role has a business owner, KPI, and clear escalation path.
- The system is optimized around time saved and revenue moved forward.
Coverage
AI roles that cover 60–80% of company routine.
Each AI role is designed around a real business function, clear ownership, and a measurable operational outcome.
- R/01
AI data analyst
Turns business data into answers, weekly reports, anomaly alerts, and decision-ready insights.
- R/02
AI contract reviewer
Reviews agreements, highlights risk, summarizes key terms, and prepares questions for legal review.
- R/03
AI marketing engine
Generates brand content, campaign tests, SEO briefs, AI-search assets, and ROAS control reports.
- R/04
AI sales agent
Responds to leads, qualifies intent, follows up, books meetings, and prepares clean sales handoffs.
- R/05
AI finance lead
Maintains live P&L views, cash-flow scenarios, spend priorities, and revenue forecast signals.
- R/06
AI accounting operator
Extracts invoices, receipts, and source documents, then prepares structured entries for review.
- R/07
Owner's AI chief of staff
Manages briefs, meeting notes, research, calendar context, and team follow-through.
- R/08
+ Custom AI role
Have a workflow that doesn't fit a category? We design new roles around the function, data, and outcome.
Scope a role →
Examples
What these AI roles can do.
Start with one high-value workflow, prove the operating model, then expand across the revenue engine. We also help your brand earn visibility in the age of AI search.
Lead to booked call
Connects forms, ads, chat, email, and CRM rules so every qualified lead gets a fast, context-aware route to the right next step.
KPI · Speed to lead
AI search visibility monitor
Tracks hundreds of high-intent prompts across AI answer engines, showing which brands appear, which URLs are cited, and how often your products make the final answer.
KPI · Answer share & citation mix
AI search optimization system
Diagnoses excluded spots — weak product pages, missing schema, thin FAQs, lack of third-party citations — then generates a concrete action list.
KPI · Fixed visibility gaps
Revenue forecast model
Combines sales, marketing, and behavioral data to forecast ROI, prioritize spend, and surface the channels most likely to produce profitable growth.
KPI · Forecasted ROI by channel
Operational routing engine
Uses live performance data to optimize routing, pricing, fulfillment, and carrier or vendor selection decisions before they become margin problems.
KPI · Decision accuracy & margin protection
Ads to revenue feedback
Sends real lead-quality and downstream revenue signals back into campaign decisions so ad spend optimizes around outcomes, not clicks.
KPI · Cost per qualified opportunity
AI sales agent
Engages inbound leads, asks qualifying questions, scores urgency, updates the CRM, and books qualified prospects directly into the team's calendar.
KPI · Qualified-to-booked rate
Why Arq AI architecture,
AI architecture,
not another automation stack.
The market installs bots, adds GPT to processes, and counts saved hours. That is useful, but everyone does it. We focus AI on the revenue side — automation that works for your time and your revenue: speeding up decisions, protecting follow-up, and moving more opportunities toward cash.
- D/01
Revenue operating model
- D/02
Connected business context
- D/03
Custom decision logic
- D/04
Ongoing AI operations
Process
The path to production. The entire team works within AI.
From strategy to working operating fabric in a focused 6–8 week pilot, with the foundation for long-term revenue and time leverage.
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Business diagnostic
Map workflows, decisions, and revenue motion to find the highest-leverage AI roles.
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AI systems blueprint
Define each role's ownership, data access, escalation rules, and target KPI.
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Core build
Engineer the agentic systems, connect data sources, and instrument the workflow.
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Workflow rollout
Deploy AI roles into the live operating model with team training and clear handoffs.
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Optimization loop
Tune prompts, models, and routing weekly against the business KPI and P&L signal.
Pricing
Plans built for different stages of AI adoption.
- AI Pilot $3,500 / from
Best for validating one workflow with a clear business outcome.
- One priority AI role or workflow
- Business KPI and launch scope
- Fixed 2–4 week pilot window
- Most chosen Growth System $8,500 / from
Best for teams ready to connect lead flow, follow-up, and reporting.
- Multiple AI roles across revenue workflows
- CRM, calendar, inbox, and reporting connections
- Team training, documentation, and support
- AI Operating System Custom / quote
Best for businesses that need multiple connected AI systems.
- Company-wide AI architecture
- Advanced approvals, data flows, and governance
- Ongoing optimization and technical partnership
Get Started
Ready to put your growth on repeat?
Book a free 30-minute strategy call. You leave with an AI business map, the first high-impact system to deploy, and a practical development plan.
Book a Free AI Strategy Call