AI agents that act.

Not chatbots that suggest. Not dashboards that report. Agents that log into your systems, extract the data, apply the logic, and get it done — while your team works on something else.

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See Our Work

40+

AI systems deployed

Years building agents

ISO 9001 & 27001

certified

Clutch

Trusted by

Six types of AI agents we build and deploy

Each type solves a specific operational problem. The right architecture depends on your workflow, not our preference.

Customer Service Agents

Resolve tickets end-to-end — look up orders, process refunds, update records, escalate to humans only when genuinely needed. Connected to your CRM, helpdesk, and product database. Containment rates typically 65–80% on first deployment.

Sales & Prospecting Agents

Research prospects, draft personalised outreach, update CRM, schedule follow-ups — autonomously, at scale.

Document Processing Agents

Extract from invoices, contracts, forms. Validate. Route. Flag exceptions. Replace hours of daily manual work.

Internal Knowledge Agents

Answer employee questions by querying live business systems — HR, inventory, finance, project status.

Operations & Monitoring Agents

Watch systems, detect anomalies, correlate signals, trigger actions. The agent that never sleeps.

Research & Analysis Agents

Brief the agent, get a structured report. Competitive intelligence, regulatory monitoring at scale.

Who hires us

Product teams with a clear automation target

You know exactly which workflow you want to automate and need a team that can architect the agent, wire up the integrations, and ship it reliably — not learn on your project.

CTOs evaluating AI feasibility

You've seen the demos, you understand the technology broadly, and you need to know whether a specific process is genuinely automatable — and at what cost, timeline, and risk level.

Operations leaders with manual process pain

Your team is spending 20+ hours a week on something repetitive that involves pulling data from multiple systems, making a judgment, and taking an action. That's what an agent does.

Founders building AI-native products

Your product's core value proposition is an autonomous AI capability. You need engineers who've built this before — not a team discovering the edge cases on your timeline.

We've done this before.
In production.

Four things that separate an EB Pearls AI agent from a prototype that never ships.

We deploy on your cloud, not ours

Every agent runs in your AWS environment via Bedrock or your own VPC. Your data never leaves your infrastructure. Default, not a premium add-on.

LLM-agnostic from the start

Swap the underlying model — Claude today, Llama tomorrow — without rebuilding agent logic. Vendor independence is in the foundation.

Safety designed in, not bolted on

Permission scoping, human-in-the-loop checkpoints, confidence thresholds, full audit trails, rate limiting. Every agent starts with a threat model.

We've done the integration work before

The AI layer isn't what slows a project. The integrations are. We've connected agents to Salesforce, SAP, SharePoint, Zendesk, Stripe, Xero, and dozens of custom APIs before.

Already using RPA?
Here's what changes.

RPA and AI agents are often confused. They solve different problems — and one has a hard ceiling.

Capability	RPA (UiPath, Blue Prism)	AI Agent (EB Pearls)
Handles unstructured input (emails, PDFs, voice)	✗ Needs structured templates	✓ Reads and reasons over any format
Adapts when UI or format changes	✗ Breaks, needs manual re-recording	✓ Adapts via natural language reasoning
Handles exceptions and edge cases	✗ Escalates everything unusual	✓ Reasons through exceptions, flags only genuine ambiguity
Reads and summarises documents	✗ Extracts fields only	✓ Comprehends, summarises, acts on full content
Communicates naturally with humans	✗ No language capability	✓ Drafts emails, Slack messages, reports
Works with APIs (not just UI)	✓ Possible, with effort	✓ API-first by default
Licensing cost	$15,000–$60,000+/year per bot	Usage-based LLM costs, no per-bot licence

Our AI agent stack

★ marks our preferred production choice for Australian enterprise deployments.

Core

★ LangGraph
★ LangChain
LlamaIndex
AutoGen
CrewAI
AWS Step Functions

LLMs & Hosting

★ AWS Bedrock
★ Claude 3.5 Sonnet
GPT-4o
Llama 3 (SageMaker)
Mistral
Gemini 1.5

Memory & Data

★ PostgreSQL + pgvector
★AWS OpenSearch
Pinecone
Redis
DynamoDB
S3 document store

Observability

★ LangSmith
★AWS CloudWatch
Datadog
Langfuse
Arize Phoenix
Guardrails AI

Real projects..
Measurable outcomes.

Two recent deployments. Numbers from the first 90 days in production.

During the entire project, what I witnessed was an unwavering determination to keep forging ahead and readily adapting to every new challenge that came our way. The performance was outstanding, and we owe our success to you. Without your contributions, this wouldn’t have been possible. Great job!

Alison Barandon

Marketing Manager at Mondial VGL

After sharing my ideas and concept with EB Pearls, they formulated a design plan and implementation roadmap. They considered the software's functionality within our target market's dynamics and proceeded to develop a comprehensive product using Flutter.

John Olapurath

They make sure to understand the purpose and goals of our mobile app, identifying the target audience, and defining our desired outcomes. They also identify and document the functional and non-functional requirements of the mobile app, such as features, functionalities, user interface, performance, security, and integration with other systems.

Lindsay Dawicki

Throughout the app development process the developers ensure their team work closely with us and also ensure the app meet our needs and aligns with our business goals. They also manage effective communication, collaboration and project management. The app is essential and was also delivered on time within budget. We are extremely satisfied.

Valerie Forde

The website that EBPearls developed for Gondwana Link does everything we asked for. It is very easy to use in the backend and the design is fresh and clean which is what we wanted. EBPearls build customised ‘modules' and they all work well and are very intuitive to use. I needed very little training to be able to use the back end.

Amanda Keesing

Director, Gondwana link

I’ve always turned to EB Pearls when I need technical expertise. I’ve had a relationship with EB Pearls for over eight years and have tasked them with a number of projects. The team are always willing to advise on solutions and their experience working across businesses, industries and technologies, means their expertise is often invaluable.

Kevin Jochelson

Product owner, Workyard

We’re extremely impressed with EB Pearls’ work, technical skill, and ability to adapt, iterate, and learn new skills. Their high attention to detail and eternally positive attitude make working with EB Pearls a wonderful experience.

Sarah Scaife

Product owner, BAXTA

From discovery
to production

Stage 01

Discovery & Feasibility

Map the workflow end-to-end. Identify every integration. Define success metrics. Scope document with fixed-price quote.

Weeks 1–2

Stage 02

Architecture & Prototype

Build the agent skeleton with real tools. Test LLM reasoning. Identify failure modes early. Establish memory pattern.

Weeks 3-4

Stage 03

Integration & Build

Wire up all tool integrations. Build human-in-the-loop interfaces. Implement audit logging. Red-team for safety.

Weeks 5-12

Stage 04

How to work with us

Deploy to your AWS environment. Monitoring dashboards. Runbooks. Shadowing period before full autonomous operation.

Final 2 weeks

How to work with us

Fixed-Price Project

Defined scope, price, and timeline. Best for well-scoped agent builds where the workflow and integrations are clear upfront.

AUD $35,000–$140,000+

Monthly Retainer

Dedicated AI engineering team on your agent roadmap continuously. Best for companies building multiple agents or iterating post-launch.

From AUD $18,000/month

Staff Augmentation

EB Pearls AI engineers embedded in your team. Best when you have internal product capability but need LangGraph expertise.

From AUD $12,000/month

Every question answered.

Can't find what you need?

An AI agent is an LLM-powered system that perceives its environment, reasons about a goal, takes actions using tools (APIs, databases, email, web search), and completes multi-step tasks autonomously. Unlike a chatbot that responds to messages, an agent decides what to do next based on context and objective.

RPA follows rigid, pre-defined rules and breaks when anything changes. AI agents reason and adapt — they handle variations, exceptions, and ambiguous inputs that RPA cannot. RPA is deterministic; AI agents are intelligent. For structured, unchanging processes RPA can still work. For anything involving judgment, natural language, or unstructured data, AI agents are the right tool.

Focused single-domain agent: 6–10 weeks to production. Complex agent with multiple integrations and human-in-the-loop: 12–20 weeks. The biggest variable is integration complexity — connecting to your CRM or ERP usually takes longer than the AI layer itself.

Minimal retraining required. Agents work in the background and surface results in your existing tools — Slack, email, your CRM. Staff interact with outputs, not the agent itself. We design every deployment with a human review queue so your team stays in control of exceptions and edge cases.

Every agent has full audit logging — every action is traceable. High-risk operations require human confirmation before execution. Confidence thresholds mean the agent escalates to a human review queue rather than guessing when uncertain. Post-launch, we monitor error rates and adjust prompts during the first 30 days.

Yes. Every agent we build runs inside your AWS VPC or on-premise environment. Your data never leaves your infrastructure. We use private endpoints, VPN tunnels, and IAM roles to connect to internal databases and APIs — this is our default approach, not a premium option.

A chatbot responds. An agent acts. A chatbot can tell you an order is delayed; an agent can look up the order, contact the supplier, update the customer record, send the customer an email, and flag it for review — all without being told each step. Agents have tools, memory, and a planning loop.

MVP agent: AUD $35,000–$65,000. Production agent with multiple integrations and audit logging: $65,000–$140,000. Enterprise multi-agent systems from $140,000. We provide fixed-scope quotes after a free feasibility assessment — no surprises mid-project

Yes. We have production integrations with Xero, MYOB, Salesforce, HubSpot, SAP, NetSuite, Zendesk, Shopify, Stripe, SharePoint, and most systems with a REST API. For systems without a public API, we build custom connectors or use browser automation as a fallback.

Tool-level permission scoping, human-in-the-loop checkpoints for high-stakes actions, confirmation before irreversible operations, full audit logging, rate limiting, and confidence thresholds that escalate to a human when uncertain. Safety is designed in from day one — every agent starts with a threat model.

LLM-agnostic via AWS Bedrock — the model can be swapped without rebuilding. Default: Claude 3.5 Sonnet or GPT-4o. Latency-sensitive: Claude Haiku or GPT-4o mini. On-premise or data-sovereignty requirements: Llama 3 via SageMaker.

Both. Entry-level engagements start at AUD $35,000 for SMBs with a clear, scoped target — typically document processing, customer service triage, or internal knowledge retrieval. Enterprise engagements involve more integrations, compliance requirements, and multi-agent orchestration and start from $140,000.

1 Your Information

2 Book Meeting

3 Confirmation

Is your workflow agent-ready?

45 minutes. We'll map your workflow, identify the right architecture, and tell you honestly whether an AI agent will solve your problem — and what it will cost. No pitch. No deck. No obligation.

What to expect on your call

What to expect

1 Share a few details
Complete the form with your contact details and what you need help with.
2 Book your free discovery call
Once you submit the form, choose a time that suits you for your discovery call.
3 Privacy comes first
Sign an optional NDA to ensure the highest privacy level and protection of your idea.
4 Discovery call
We’ll discuss your goals, the support you need and answer your questions. If we’re a good fit, we’ll outline the next steps.

What to expect

1 Share a few details
Complete the form with your contact details and what you need help with.
2 Book your free discovery call
Once you submit the form, choose a time that suits you for your discovery call.
3 Privacy comes first
Sign an optional NDA to ensure the highest privacy level and protection of your idea.
4 Discovery call
We’ll discuss your goals, the support you need and answer your questions. If we’re a good fit, we’ll outline the next steps.

AI agents that act.