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50+
AI Systems in Production
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$9.6B
Revenue delivered for clients
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4.9
Clutch Globally Running
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ISO 9001 & 27001
Certified AI builds

Why most AI projects fail in production and what we do differently?

3 minutes. No pitch. The honest version of what separates AI that works in a boardroom demo from AI that runs a business every day.
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What your business looks like before and after AI automation?

These aren't hypothetical outcomes. They're what EB Pearls clients experience after their first 90 days of AI automation running in production.

Before

3–4 staff manually extracting data from invoices and contracts
4 days average turnaround. Manual errors in 8% of records. Staff time consumed by routine work. Backlog builds during volume spikes.
Support team handles every enquiry including the same 20 questions answered daily
2–3 hour response times. Team capacity maxed out. Quality inconsistent across staff. After-hours enquiries go unanswered.

After

AI extracts, validates, and routes, staff review exceptions only
4 hours turnaround. Error rate under 0.5%. Staff redirected to higher-value work. Volume spikes handled automatically.
AI handles 70% of enquiries instantly — humans focus on complex cases
Instant response 24/7. Consistent, accurate answers. Human team handles only what genuinely needs human judgement. Escalation logic built in.

Find your automation. See the ROI.

Four automation types. Each with real outcomes from production deployments - not projected estimates from a vendor trying to close a deal.
85% avg Reduction in processing time

Document processing & data extraction

Invoices, contracts, forms, applications, reports - extracted, validated, and routed automatically. Works with PDFs, scanned documents, emails, and structured data.
  • Extracts structured data from unstructured documents
  • Validates against your business rules automatically
  • Routes exceptions to humans — not everything
  • Integrates into your ERP, CRM, or database
70% of enquiries resolved without human

Customer service AI & virtual agent

AI that handles customer enquiries, FAQs, and guided processes — trained on your products, policies, and knowledge base. Escalates to humans when it should.
  • Trained on your actual data — not generic responses
  • Human handoff logic built in as standard
  • Works across web, email, and messaging channels
  • Accuracy benchmarks agreed before deployment
60% reduction in processing cycle time

Workflow & approval automation

Multi-step business processes — onboarding, approvals, compliance checks, reporting — automated end-to-end with AI decision support at each stage.
  • Maps to your existing process — no rip-and-replace
  • AI-assisted decisions with human override
  • Full audit trail for compliance requirements
  • Connects to your existing systems via API
12h avg weekly time saved per analyst

Data extraction & reporting AI

AI that reads your systems, surfaces the insights your team needs, and generates reports — without someone spending hours in spreadsheets to produce them.
  • Connects to your databases, CRMs, and ERPs
  • Natural language queries against your data
  • Automated reporting on your schedule
  • Anomaly detection and proactive alerting

See if your situation matches

If it does, this will be 30 minutes well spent. If it doesn't, we'll tell you honestly on the call.

design

Your team is spending hours on work that should be automated.

Manual data entry, repetitive document processing, the same customer questions answered over and over. You know it could be automated — you just haven't found a team that will scope it properly and deliver it without selling you a platform subscription.

  • We scope the ROI before we scope the build

  • Prototype in 3–6 weeks against your real processes

  • Integrates into your existing systems — no new platform

  • Fixed price, fixed scope — no surprise invoices

Development

You've tried automation before and it didn't stick.

You bought an off-the-shelf tool, or a vendor built something that worked in the demo but broke under real conditions, or the maintenance burden killed it six months in. You need automation that actually runs in production.

  • Free audit of your existing automation — honest assessment

  • We prototype against your real data, not demo data

  • 12 months post-launch monitoring and support

  • Documentation so your team can maintain it

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You know AI can help but don't know where to start.

You've seen competitors using AI and you know you should be. But you don't have a specific use case mapped out, and you don't want to spend $100K finding out it was the wrong thing to automate first.

  • Free 30-min session identifies your highest-ROI automation

  • We'll tell you what to automate first — and what to leave alone

  • No commitment required to get the advice

  • We'll tell you if AI automation isn't right for your situation

From first conversationto automation running in production.

No surprises. Here's exactly what happens at every step.

1
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AI Automation Session

A senior AI strategist maps your current workflows, identifies the highest-ROI automation candidates, and gives you a realistic cost and timeline range. No pitch. No obligation. NDA before any details. If we're not the right fit, we'll tell you.

What you leave with: A specific process recommendation, a cost range, and an honest view of what AI automation will and won't do for your business.
2
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Process Discovery Workshop

We map your current process end-to-end: inputs, outputs, decision points, exceptions, integrations, and success criteria. Every automation decision is documented and agreed before development starts.

The ROI framework is agreed here. We define what success looks like — time saved, error rate, volume handled — before a line of code is written. This is how you avoid building the wrong thing.

3
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Working automation prototype against your real data

A working prototype against your actual documents, data, and processes. You see real behaviour — including edge cases and exceptions — before committing to the full build. Accuracy and exception-handling agreed at this stage.

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Sprint build

Two-week sprints. Working automation at the end of every cycle. Milestone payments — you pay when each sprint is delivered and approved. Fixed scope per sprint — no surprise invoices.
5
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Launch, monitor — and measure the ROI

Monitoring configured before your first real process runs. Performance tracked against the metrics agreed in Discovery. 12 months support and improvement included as standard. Full documentation so your team can own it.

Real results from real projects

Not polished award submissions. Outcomes you can verify, from clients who'll pick up the phone before you decide.
Vodafone Logo

Vodafone Fiji saw a 150% boost in engagement — and millions in new revenue.

We helped redesign and rebuild their app from the ground up. The result? Better UX, higher engagement, and real revenue growth. Great app development makes all the difference.

Evolve • Telecom

Book Your Free Discovery Call
EB pearls Vodafone Mobile app
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A Complete Platform for Allied Health Providers

Built a full-scale allied health platform that unified 5+ workflows and cut admin time by 70% — from scheduling to compliance.

Scale-Up • Allied Health ERP

Book Your Free Discovery Call
Pogozo
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From zero to 10,000+ bookings and aiming for 250% growth.

We built Bahah a simple, scalable app that helped them grow fast. With momentum building, we’re still working together to take it even further.

Startup • Marketplace

Book Your Free Discovery Call
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💥 You deserve a straight answer about your AI Automation.

30 minutes. A senior AI Automation consultant who's seen 900+ projects. You'll leave knowing exactly what your AI app will take, what it'll cost, and whether we're the right team.

No pitch. No pressure. 

Things we hear beforeevery automation project.

Honest answers before the call so your 30 minutes is about your process — not about us.

Sometimes yes, and we'll tell you that in the first 30 minutes. Tools like Zapier are right for simple, linear workflows. Custom AI automation is right when the process has complexity, exceptions, or unstructured data that off-the-shelf tools can't handle reliably.

Yes - this is specifically how we build. We don't sell you a new platform to manage. We build automation into the systems you already use via API. Your team doesn't need to change how they work.

A focused automation prototype takes 3–6 weeks. Full production deployment 8–16 weeks. Costs range from $30K for single-process automation to $150K+ for multi-system enterprise deployments. Specific estimate in your first call.

In the Discovery Session we map your current process: time, error rate, volume, cost. We define measurable success criteria before a line of code is written. If the ROI isn't there, we'll tell you.

Every automation has exception-handling and human escalation paths. We agree on what AI handles autonomously and what gets routed to a human - before build, in writing. No automation operates without a fallback.

Most aren't. The Discovery Workshop is designed to map undocumented processes. We sit with your team, observe the workflow, and document it ourselves. This is how we catch the edge cases that kill automations built from a brief alone.
1 Your Information
2 Book Meeting
3 Confirmation

Find out what AI automationis actually worthfor your business.

Not a sales call. A 30-minute working session where a senior AI strategist maps your highest-ROI automation opportunity with realistic costs, realistic timelines, and an honest view of what AI will and won't solve.

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You'll leave this call knowing:

  1. 1 Which process to automate first for the fastest measurable ROI
  2. 2 A realistic cost range and timeline — not "it depends"
  3. 3 What AI automation will and won't solve in your business
  4. 4 Whether off-the-shelf tools would serve you better than custom
  5. 5 Your three biggest risks and how to avoid them

You'll leave this call knowing:

  1. 1 Which process to automate first for the fastest measurable ROI
  2. 2 A realistic cost range and timeline — not "it depends"
  3. 3 What AI automation will and won't solve in your business
  4. 4 Whether off-the-shelf tools would serve you better than custom
  5. 5 Your three biggest risks and how to avoid them
  1. 01 User Insights and Target Audience Understanding your target audience and their preferences allows us to create a user-centric app that resonates with your users.
  2. 02 Features & Functionality Requirements Identify the essential features and functionalities you envision for the app. Discuss any unique elements that will set your app apart from the competition.
  3. 03 Design & Branding Preferences Share your design preferences and branding guidelines to ensure the app aligns with your brand identity and reflects your desired aesthetics.
  4. 04 Monetisation Strategy If you plan to monetise the app, discuss your preferred strategy (e.g., in-app purchases, subscriptions, ads) to integrate the most suitable model.
  5. 05 Timeline and Budget Expectations Provide your desired project timeline and budget expectations. This information helps us plan the development process and manage resources efficiently.
  6. 06 Questions and Concerns Bring any questions or concerns you may have about the development process, so we can address them and ensure complete transparency.