Executive boardroom overlooking a city skyline at golden hour
AI Revenue Infrastructure

The engine underneath a modern business.

Demand is rarely the constraint. What costs you is the structure behind it: enquiries that sit overnight, follow-ups nobody owns, proposals that go quiet. We design and install the structure.

8 stages
In the AI Revenue Engine™
4 min
Median first response
24/7
Enquiry response coverage
100%
Systems owned by the client
The AI Revenue Engine™

Eight stages between a stranger and a paying client.

Each stage stands on its own and compounds with the ones around it. Liv runs capture, response and qualification; the engine carries every enquiry the rest of the way to a retained client.

01
Attract

Create and reactivate demand across the channels where valuable buyers already pay attention.

02
Capture

Liv captures every form, call, referral, DM and campaign response in one visible system.

03
Respond

Liv responds while intent is high, in your voice, with the context each enquiry deserves.

04
Qualify

Liv scores fit, enriches context and protects senior calendars from conversations that will never convert.

05
Book

Move qualified buyers into the right calendar without the scheduling friction.

06
Follow up

Keep proposals, decisions and next steps moving without relying on memory.

07
Convert

Draft from your best work, surface objections and give the human closer a complete picture.

08
Retain

Watch delivery, satisfaction and renewal signals so value compounds after the first sale.

Aggregate results

Averages across every live install.

Measured across client AI Revenue Engine™ installations — separate from the individual case studies on the About page.

01
47%
Average headcount cost reduction
02
6 wks
Average time to ROI
03
3–10x
Average client return
Two executives in conversation in a high-rise office at sunset
Built around your business

Installed to the way you already sell — not a template dropped on top of it.

How we build

Four rules we don't break.

You own it

Built inside your accounts, on your data, documented and handed over. No vendor lock-in, no black box, no monthly ransom for access to your own pipeline.

Measured in revenue

Every stage ships with the number it is meant to move — response time, qualified calls, close rate, revenue per enquiry — visible from day one.

Built in stages

We install the stage with the highest return first and prove it before the next one starts. No eighteen-month programme, no big-bang launch.

Designed around the human

The system handles volume, context and timing. Your people keep the judgement, the relationship, and the closing conversation.

Inside the engine

AI Employees are how the work gets done.

The AI Revenue Engine™ is the architecture. AI Employees are the staff inside it — permanent digital hires that read, decide and act across your business, with no employment contract and no ceiling on hours.

Explore AI Employees →
Engine status
Enquiry captureALL CHANNELS
Median first response4 MIN
Headcount cost reduction47% AVG
Follow-up completion100%

Measured across live AI Revenue Engine™ installs. Your audit produces your own baseline.

Capabilities

Seven disciplines. One AI Revenue Engine™.

Every engagement runs the same arc: find where the money leaks, build the system that closes it, prove the number in production.

01 · Discovery→

AI Use-Case Identification

We audit your operations, identify high-leverage workflows, and quantify the impact of AI before a single line of code is written.

See the commercial case for an AI Agent stack for CFOs.

  • Opportunity map
  • ROI model
  • Technical feasibility report
02 · Architecture→

Custom Neural Frameworks

Bespoke LLM pipelines, RAG systems, and multi-agent orchestration — the voice, mind, and hands of your AI Employee, designed around your data, your domain, your guardrails.

Review AI Agent architecture for CTOs before designing the technical foundation.

  • System design doc
  • Reference implementation
  • Eval harness
03 · Deployment→

Production-Grade Agents

We ship AI systems that survive contact with real users — observable, deterministic, fault-tolerant, and continuously evaluated.

  • Cloud deployment
  • Monitoring stack
  • Incident playbooks
04 · Integration→

AI Employee Integration

Your AI Employee plugs into the tools your team already uses — n8n, internal APIs, CRMs, support desks — orchestrated end-to-end.

  • Agent blueprints
  • API integrations
  • Team training
05 · Foundation→

Website Builds & Upgrades

High-converting, fast, search-ready websites built as the front door to the AI Revenue Engine™ — not a separate brochure.

  • Conversion-focused design
  • Technical SEO + Core Web Vitals
  • CMS, forms & integrations
06 · Governance→

Compliance & Security

SOC2-aligned controls, prompt injection defenses, PII redaction, and audit trails baked into every layer of the stack.

  • Threat model
  • Policy framework
  • Audit reports
07 · Optimization→

Continuous Improvement

Once live, we tune. Latency, cost, accuracy — measured weekly and improved with disciplined experimentation.

  • Eval dashboards
  • Cost analysis
  • Quarterly reviews
The engagement

From discovery to governed production — usually in weeks, not quarters.

  1. 01 · Week 1
    Discover

    Workshops, ops audit, opportunity map. We pick the workflow with the highest leverage.

  2. 02 · Week 2
    Architect

    System design, eval harness, security model. You sign off before we ship a line of code.

  3. 03 · Weeks 3–6
    Deploy

    Build, integrate, observe. Pilot with real users while the business keeps running.

  4. 04 · Ongoing
    Govern

    Telemetry, weekly evals, cost tuning. We hand over a system you fully own.

Questions

What people ask first.

Still deciding? Book the audit and we will answer them against your own numbers.

Related reading: AI Employees, the AI Revenue Assessment, results and case studies, and how to reach us.

What is AI Revenue Infrastructure?

AI Revenue Infrastructure is the connected system a business runs on between a first enquiry and a retained client: attract, capture, respond, qualify, book, follow up, convert and retain. Instead of separate tools and human memory holding it together, each stage is designed, instrumented and staffed by AI Employees, so nothing is dropped and every step is measurable.

How is it different from buying AI tools?

A tool solves one task inside one team. Infrastructure decides what happens to revenue across the whole path — which enquiry is answered first, what it is answered with, who is called back, and what is measured afterwards. Tools are bought; infrastructure is designed around how you already sell, and you own it.

What does it actually improve?

Three numbers move first: time to first response, the share of calls that are genuinely qualified, and the percentage of follow-ups that are completed. Those three drive revenue per enquiry, which is the figure we baseline in the AI Revenue Assessment and track after installation.

How long does it take to install?

The first stage is usually live within two weeks, and the average engagement reaches a measurable return in about six weeks, with 3–10x average returns. We build in the order that pays back fastest, so you are not waiting for a whole programme to finish before the first result arrives.

Who is it for?

DigiAI is built for $2M–$50M businesses with 20–200 staff, and the CFO, COO, CTO, VP Operations, Head of Technology or Founder responsible for change. The work is designed for Financial Services, Professional Services, Real Estate, Medical & Health, and High-Ticket Online Businesses. Smaller $500K–$5M operators should look at AI Revenue Kickstart instead.

Do I own the systems you build?

Yes. Every system, prompt, integration and record lives in accounts you own. There is no lock-in, and nothing stops working if you stop working with us.

Next step

See what your engine is missing.

Twenty minutes and a plain answer on whether the AI Revenue Engine™ is a fit. If it is, the next step is the paid AI Revenue Assessment.